TY - JOUR AU - Mugasha, Rodney AU - Kwiringira, Andrew AU - Ntono, Vivian AU - Nakiire, Lydia AU - Ayebazibwe, Immaculate AU - Kyozira, Caroline AU - Muruta, Niyonzima Allan AU - Kasule, Namugga Juliet AU - Byonanebye, M. Dathan AU - Nanyondo, Judith AU - Walwema, Richard AU - Kakooza, Francis AU - Lamorde, Mohammed PY - 2025/4/14 TI - Scaling Up and Enhancing the Functionality of the Electronic Integrated Diseases Surveillance and Response System in Uganda, 2020-2022: Description of the Journey, Challenges, and Lessons Learned JO - JMIR Public Health Surveill SP - e59783 VL - 11 KW - electronic Integrated Disease Surveillance and Response KW - eIDSR KW - disease surveillance KW - training of trainers KW - Uganda KW - digital surveillance systems KW - health worker KW - eHealth KW - public health KW - digital health UR - https://publichealth.jmir.org/2025/1/e59783 UR - http://dx.doi.org/10.2196/59783 ID - info:doi/10.2196/59783 ER - TY - JOUR AU - Francis, Karlee AU - Francis, Julie AU - Latimer, Margot AU - Gould, Hayley AU - Blackmore, Shante AU - MacLeod, Emily PY - 2025/3/3 TI - Development and Testing of the Kids Hurt App, a Web-Based, Pain Self-Report App for First Nations Youths: Mixed Methods Study JO - JMIR Hum Factors SP - e48370 VL - 12 KW - app KW - eHealth KW - pain KW - Indigenous KW - First Nations KW - children KW - youths KW - mobile phone N2 - Background: First Nations children and youths may have unique ways to convey their health needs that have not been recognized by health providers. This may contribute to the disparity between high rates of mental health and physical pain and low rates of treatment for the conditions they experience. Evidence suggests that a colonial history has resulted in poor experiences with the health care system, lack of trust with health providers, and miscommunication between clinicians and patients. Contemporary ways, using both Indigenous and Western knowledge, are needed to bridge the gap in communicating pain. Objective: The aim of this qualitative study was to test the usability and clinical feasibility of the Kids Hurt App with First Nations youths and clinicians working with youths. Methods: Using a Two-Eyed Seeing approach, the Kids Hurt App was developed using concepts from validated mood and pain assessment apps combined with community-based research that gathered First Nations youths and clinicians perspectives on quality, intensity, and location of pain and hurt. The Kids Hurt App contains 16 screens accessible on any web-based device. Results: In total, 3 rounds of low-fidelity testing (n=19), 2 rounds of high-fidelity testing (n=20), and 2 rounds of clinical feasibility testing (n=10) were conducted with First Nations youths (10?19 years) to determine the relevance, validity, and usability of the Kids Hurt App. High-fidelity testing was also conducted with 15 clinicians after completing the high-fidelity youth sessions. Youths had constructive suggestions that were used to improve the app in subsequent rounds of version testing. There was one main discrepancy between youths and clinicians related to preference for how best to visually convey pain. The youth?s preference was maintained in the app. Conclusions: All youths in all rounds of testing indicated that they would use the Kids Hurt App if it was available to them in a health care setting, with most clinicians noting that the app would be useful in practice. UR - https://humanfactors.jmir.org/2025/1/e48370 UR - http://dx.doi.org/10.2196/48370 ID - info:doi/10.2196/48370 ER - TY - JOUR AU - Bazaco, C. Michael AU - Carstens, K. Christina AU - Greenlee, Tiffany AU - Blessington, Tyann AU - Pereira, Evelyn AU - Seelman, Sharon AU - Ivory, Stranjae AU - Jemaneh, Temesgen AU - Kirchner, Margaret AU - Crosby, Alvin AU - Viazis, Stelios AU - van Twuyver, Sheila AU - Gwathmey, Michael AU - Malais, Tanya AU - Ou, Oliver AU - Kenez, Stephanie AU - Nolan, Nichole AU - Karasick, Andrew AU - Punzalan, Cecile AU - Schwensohn, Colin AU - Gieraltowski, Laura AU - Chen Parker, Cary AU - Jenkins, Erin AU - Harris, Stic PY - 2025/2/28 TI - Recent Use of Novel Data Streams During Foodborne Illness Cluster Investigations by the United States Food and Drug Administration: Qualitative Review JO - JMIR Public Health Surveill SP - e58797 VL - 11 KW - foodborne illness surveillance KW - novel data streams KW - outbreak investigations KW - novel data KW - foodborne illness KW - foodborne KW - illness KW - United States KW - public health KW - prevention KW - outbreaks KW - social media KW - product review KW - cluster KW - product information KW - surveillance KW - epidemiology UR - https://publichealth.jmir.org/2025/1/e58797 UR - http://dx.doi.org/10.2196/58797 ID - info:doi/10.2196/58797 ER - TY - JOUR AU - King, C. Abby AU - Doueiri, N. Zakaria AU - Kaulberg, Ankita AU - Goldman Rosas, Lisa PY - 2025/2/14 TI - The Promise and Perils of Artificial Intelligence in Advancing Participatory Science and Health Equity in Public Health JO - JMIR Public Health Surveill SP - e65699 VL - 11 KW - digital health KW - artificial intelligence KW - community-based participatory research KW - citizen science KW - health equity KW - societal trends KW - public health KW - viewpoint KW - policy makers KW - public participation KW - information technology KW - micro-level data KW - macro-level data KW - LLM KW - natural language processing KW - machine learning KW - language model KW - Our Voice UR - https://publichealth.jmir.org/2025/1/e65699 UR - http://dx.doi.org/10.2196/65699 ID - info:doi/10.2196/65699 ER - TY - JOUR AU - Amid, Clara AU - van Roode, Y. Martine AU - Rinck, Gabriele AU - van Beek, Janko AU - de Vries, D. Rory AU - van Nierop, P. Gijsbert AU - van Gorp, M. Eric C. AU - Tobian, Frank AU - Oude Munnink, B. Bas AU - Sikkema, S. Reina AU - Jaenisch, Thomas AU - Cochrane, Guy AU - Koopmans, G. Marion P. PY - 2025/2/11 TI - A Call for Action: Lessons Learned From a Pilot to Share a Complex, Linked COVID-19 Cohort Dataset for Open Science JO - JMIR Public Health Surveill SP - e63996 VL - 11 KW - data sharing KW - data management KW - open science KW - COVID-19 KW - emerging infectious disease KW - global health UR - https://publichealth.jmir.org/2025/1/e63996 UR - http://dx.doi.org/10.2196/63996 ID - info:doi/10.2196/63996 ER - TY - JOUR AU - Smith, Jackson Hunter AU - Agans, T. Richard AU - Kowallis, J. William PY - 2025/2/6 TI - Ethical Considerations for Wastewater Surveillance Conducted by the US Department of Defense JO - JMIR Public Health Surveill SP - e67145 VL - 11 KW - wastewater KW - surveillance KW - ethics KW - military KW - Department of Defense UR - https://publichealth.jmir.org/2025/1/e67145 UR - http://dx.doi.org/10.2196/67145 ID - info:doi/10.2196/67145 ER - TY - JOUR AU - Kizito, Michael AU - Mugabi, Nabunjo Erina AU - Ford, Sabrina AU - Holtz, Bree AU - Hirko, Kelly PY - 2025/1/23 TI - Characterizing Telehealth Barriers and Preferences to Promote Acceptable Implementation Strategies in Central Uganda: Multilevel Formative Evaluation JO - JMIR Form Res SP - e60843 VL - 9 KW - telehealth KW - telemedicine KW - health care KW - disparities KW - technology KW - barriers KW - resource-limited KW - preferences KW - Uganda KW - Africa KW - barrier KW - formative evaluation KW - health service provider KW - primary care KW - satisfaction KW - Sub-Saharan Africa KW - survey KW - utility N2 - Background: Telehealth approaches can address health care access barriers and improve care delivery in resource-limited settings around the globe. Yet, telehealth adoption in Africa has been limited, due in part to an insufficient understanding of effective strategies for implementation. Objective: This study aimed to conduct a multi-level formative evaluation identifying barriers and facilitators for implementing telehealth among health service providers and patients in Central Uganda. Methods: We collected surveys characterizing telehealth perceptions, barriers, and preferences from health care providers and patients seeking primary care in the Central Region of Uganda from January 2022 to July 2022. Survey development was informed by the technology acceptance model and evaluated predictors of technology acceptance (ie, perceived usefulness, ease of use, and attitudes). We used descriptive statistics to characterize telehealth perceptions and examined differences according to provider and patient characteristics using Student t tests. Results: Nearly 79% (n=48) of 61 providers surveyed had used telehealth, and perceptions were generally favorable. While 93.4% (n=57) reported that telehealth adds value to clinical practice, less than half (n=30, 49.2%) felt telehealth was more efficient than in-person visits. Provider-reported barriers to telehealth included technology challenges for the patient (34/132, 26%), low patient engagement (25/132, 19%), and lack of implementation support (24/132, 18%). Telehealth use was lower among the 91 surveyed patients, with only 19.8% (n=18) having used telehealth. Although 89% (n=81) of patients reported saving time with telehealth approaches, 33.3% (n=30) of patients reported that telehealth made them feel uncomfortable, and 43.8% (n=39) reported concerns about confidentiality. Over 72% (n=66) of patients who had used telehealth previously reported satisfaction with the telehealth services they received. Several differences in perceptions of telehealth according to patient?s self-reported health status were observed. Conclusions: Perceptions of telehealth were generally favorable, although higher among providers than patients. Barriers impeding telehealth use include technology challenges and the lack of infrastructure and implementation support. Findings from this study can inform the implementation of acceptable telehealth approaches to address disparities propagated by health care access barriers in Sub-Saharan Africa. UR - https://formative.jmir.org/2025/1/e60843 UR - http://dx.doi.org/10.2196/60843 ID - info:doi/10.2196/60843 ER - TY - JOUR AU - Bazzano, N. Alessandra AU - Mantsios, Andrea AU - Mattei, Nicholas AU - Kosorok, R. Michael AU - Culotta, Aron PY - 2025/1/22 TI - AI Can Be a Powerful Social Innovation for Public Health if Community Engagement Is at the Core JO - J Med Internet Res SP - e68198 VL - 27 KW - Artificial Intelligence KW - Generative Artificial Intelligence KW - Citizen Science KW - Community Participation KW - Innovation Diffusion UR - https://www.jmir.org/2025/1/e68198 UR - http://dx.doi.org/10.2196/68198 UR - http://www.ncbi.nlm.nih.gov/pubmed/39841529 ID - info:doi/10.2196/68198 ER - TY - JOUR AU - Craig, S. Leslie AU - Evans, L. Christina AU - Taylor, D. Brittany AU - Patterson, Jace AU - Whitfield, Kaleb AU - Hill, Mekhi AU - Nwagwu, Michelle AU - Mubasher, Mohamed AU - Bednarczyk, A. Robert AU - McCray, G. Gail AU - Gaddis, R. Cheryl L. AU - Taylor, Natasha AU - Thompson, Emily AU - Douglas, Ursula AU - Latimer, K. Saundra AU - Spivey, G. Sedessie AU - Henry Akintobi, Tabia AU - Quarells, Collins Rakale PY - 2024/12/24 TI - Challenges and Lessons Learned in Managing Web-Based Survey Fraud for the Garnering Effective Outreach and Research in Georgia for Impact Alliance?Community Engagement Alliance Survey Administrations JO - JMIR Public Health Surveill SP - e51786 VL - 10 KW - web-based survey research KW - data quality KW - data integrity KW - COVID-19 KW - Georgia KW - data collection KW - scientists KW - integrity KW - transparency KW - public health KW - deception KW - disinformation KW - survey fraud KW - legitimate data N2 - Background: Convenience, privacy, and cost-effectiveness associated with web-based data collection have facilitated the recent expansion of web-based survey research. Importantly, however, practical benefits of web-based survey research, to scientists and participants alike, are being overshadowed by the dramatic rise in suspicious and fraudulent survey submissions. Misinformation associated with survey fraud compromises data quality and data integrity with important implications for scientific conclusions, clinical practice, and social benefit. Transparency in reporting on methods used to prevent and manage suspicious and fraudulent submissions is key to protecting the veracity of web-based survey data; yet, there is limited discussion on the use of antideception strategies during all phases of survey research to detect and eliminate low-quality and fraudulent responses. Objective: This study aims to contribute to an evolving evidence base on data integrity threats associated with web-based survey research by describing study design strategies and antideception tools used during the web-based administration of the Garnering Effective Outreach and Research in Georgia for Impact Alliance?Community Engagement Alliance (GEORGIA CEAL) Against COVID-19 Disparities project surveys. Methods: GEORGIA CEAL was established in response to the COVID-19 pandemic and the need for rapid, yet, valid, community-informed, and community-owned research to guide targeted responses to a dynamic, public health crisis. GEORGIA CEAL Surveys I (April 2021 to June 2021) and II (November 2021 to January 2022) received institutional review board approval from the Morehouse School of Medicine and adhered to the CHERRIES (Checklist for Reporting Results of Internet E-Surveys). Results: A total of 4934 and 4905 submissions were received for Surveys I and II, respectively. A small proportion of surveys (Survey I: n=1336, 27.1% and Survey II: n=1024, 20.9%) were excluded due to participant ineligibility, while larger proportions (Survey I: n=1516, 42.1%; Survey II: n=1423, 36.7%) were flagged and removed due to suspicious activity; 2082 (42.2%) and 2458 (50.1%) of GEORGIA CEAL Surveys I and II, respectively, were retained for analysis. Conclusions: Suspicious activity during GEORGIA CEAL Survey I administration prompted the inclusion of additional security tools during Survey II design and administration (eg, hidden questions, Completely Automated Public Turing Test to Tell Computers and Humans Apart verification, and security questions), which proved useful in managing and detecting fraud and resulted in a higher retention rate across survey waves. By thorough discussion of experiences, lessons learned, and future directions for web-based survey research, this study outlines challenges and best practices for designing and implementing a robust defense against survey fraud. Finally, we argue that, in addition to greater transparency and discussion, community stakeholders need to be intentionally and mindfully engaged, via approaches grounded in community-based participatory research, around the potential for research to enable scientific discoveries in order to accelerate investment in quality, legitimate survey data. UR - https://publichealth.jmir.org/2024/1/e51786 UR - http://dx.doi.org/10.2196/51786 ID - info:doi/10.2196/51786 ER - TY - JOUR AU - Austin, A. Jodie AU - Lobo, H. Elton AU - Samadbeik, Mahnaz AU - Engstrom, Teyl AU - Philip, Reji AU - Pole, D. Jason AU - Sullivan, M. Clair PY - 2024/12/20 TI - Decades in the Making: The Evolution of Digital Health Research Infrastructure Through Synthetic Data, Common Data Models, and Federated Learning JO - J Med Internet Res SP - e58637 VL - 26 KW - real-world data KW - digital health research KW - synthetic data KW - common data models KW - federated learning KW - university-industry collaboration UR - https://www.jmir.org/2024/1/e58637 UR - http://dx.doi.org/10.2196/58637 UR - http://www.ncbi.nlm.nih.gov/pubmed/39705072 ID - info:doi/10.2196/58637 ER - TY - JOUR AU - Poncet, Rémy AU - Gargominy, Olivier PY - 2024/12/9 TI - In the Shadow of Medicine: The Glaring Absence of Occurrence Records of Human-Hosted Biodiversity JO - Online J Public Health Inform SP - e60140 VL - 16 KW - human microbiome KW - bacterial occurrence data KW - public health KW - one health KW - biodiversity data gap KW - medical data integration KW - medical data KW - microbiome KW - bacterial KW - bacteria KW - biodiversity KW - disease prevention KW - pathogens KW - user-friendly KW - bacterial pathogens UR - https://ojphi.jmir.org/2024/1/e60140 UR - http://dx.doi.org/10.2196/60140 ID - info:doi/10.2196/60140 ER - TY - JOUR AU - Barbosa da Silva Júnior, Jarbas AU - Garcia-Saiso, Sebastian AU - Marti, Myrna AU - Salas, Daniel AU - Contreras, Marcela AU - Velandia-Gonzalez, Martha AU - Luna, Daniel AU - Nelson, Jennifer AU - Fitzgerald, James AU - Bascolo, Ernesto AU - Talavera Romero, Lorena Ivy AU - Chomali, May AU - Curioso, H. Walter AU - Plazzotta, Fernando AU - Otero, Carlos AU - Lopez Osornio, Alejandro AU - Lennemann, Tessa AU - Salinas, Karen AU - D'Agostino, Marcelo PY - 2024/11/26 TI - Vaccine Certificates Must Go Digital: An Urgent Call for Better Public Health Outcomes JO - JMIR Public Health Surveill SP - e65740 VL - 10 KW - medical informatics KW - health systems KW - immunizations KW - public health KW - viewpoint KW - health challenges KW - digital vaccine certificates KW - outbreak management KW - outbreak KW - accuracy KW - healthcare KW - surveillance KW - health outcomes KW - global health KW - mobile phone UR - https://publichealth.jmir.org/2024/1/e65740 UR - http://dx.doi.org/10.2196/65740 ID - info:doi/10.2196/65740 ER - TY - JOUR AU - Cassidy, Omni AU - Bragg, Marie AU - Elbel, Brian PY - 2024/10/17 TI - Virtual Reality?Based Food and Beverage Marketing: Potential Implications for Young People of Color, Knowledge Gaps, and Future Research Directions JO - JMIR Public Health Surveill SP - e62807 VL - 10 KW - virtual reality KW - VR KW - digital food and beverage marketing KW - obesity KW - marketing KW - food KW - consumption KW - beverage KW - immersive KW - market KW - consumer UR - https://publichealth.jmir.org/2024/1/e62807 UR - http://dx.doi.org/10.2196/62807 ID - info:doi/10.2196/62807 ER - TY - JOUR AU - Wagner, K. Jennifer AU - Doerr, Megan AU - Schmit, D. Cason PY - 2024/9/30 TI - AI Governance: A Challenge for Public Health JO - JMIR Public Health Surveill SP - e58358 VL - 10 KW - artificial intelligence KW - legislation and jurisprudence KW - harm reduction KW - social determinants of health KW - one health KW - AI KW - invisible algorithms KW - modern life KW - public health KW - engagement KW - AI governance KW - traditional regulation KW - soft law UR - https://publichealth.jmir.org/2024/1/e58358 UR - http://dx.doi.org/10.2196/58358 ID - info:doi/10.2196/58358 ER - TY - JOUR AU - Velmovitsky, Elkind Pedro AU - Kirolos, Merna AU - Alencar, Paulo AU - Leatherdale, Scott AU - Cowan, Donald AU - Morita, Pelegrini Plinio PY - 2024/9/12 TI - Leveraging mHealth Technologies for Public Health JO - JMIR Public Health Surveill SP - e49719 VL - 10 KW - mobile health KW - mHealth KW - smart technology KW - wearables KW - public health KW - population health KW - apps KW - surveys KW - self-report KW - surveillance KW - digital public health KW - mobile phone UR - https://publichealth.jmir.org/2024/1/e49719 UR - http://dx.doi.org/10.2196/49719 UR - http://www.ncbi.nlm.nih.gov/pubmed/39265164 ID - info:doi/10.2196/49719 ER - TY - JOUR AU - Hsiao, Hsun Kai AU - Quinn, Emma AU - Johnstone, Travers AU - Gomez, Maria AU - Ingleton, Andrew AU - Parasuraman, Arun AU - Najjar, Zeina AU - Gupta, Leena PY - 2024/6/24 TI - A Novel Web-Based Application for Influenza and COVID-19 Outbreak Detection and Response in Residential Aged Care Facilities JO - JMIR Public Health Surveill SP - e37625 VL - 10 KW - web application KW - digital health KW - communicable disease control KW - outbreak KW - surveillance KW - influenza KW - aged care KW - aged care homes UR - https://publichealth.jmir.org/2024/1/e37625 UR - http://dx.doi.org/10.2196/37625 ID - info:doi/10.2196/37625 ER - TY - JOUR AU - Babona Nshuti, Aimee Marie AU - Touray, Kebba AU - Muluh, Johnson Ticha AU - Ubong, Akpan Godwin AU - Ngofa, Opara Reuben AU - Mohammed, Isa Bello AU - Roselyne, Ishimwe AU - Oviaesu, David AU - Bakata, Oliver Evans Mawa AU - Lau, Fiona AU - Kipterer, John AU - Green, W. Hugh Henry AU - Seaman, Vincent AU - Ahmed, A. Jamal AU - Ndoutabe, Modjirom PY - 2024/6/21 TI - Development of a Consolidated Health Facility Masterlist Using Data From Polio Electronic Surveillance in the World Health Organization African Region JO - JMIR Public Health Surveill SP - e54250 VL - 10 KW - African region KW - electronic surveillance KW - geographic information systems KW - Global Polio Eradication Initiative KW - integrated supportive supervision KW - polio UR - https://publichealth.jmir.org/2024/1/e54250 UR - http://dx.doi.org/10.2196/54250 UR - http://www.ncbi.nlm.nih.gov/pubmed/38904997 ID - info:doi/10.2196/54250 ER - TY - JOUR AU - Huang, Xuefeng AU - Kong, Qian-Yi AU - Wan, Xiaowen AU - Huang, Yating AU - Wang, Rongrong AU - Wang, Xiaoxue AU - Li, Yingying AU - Wu, Yuqing AU - Guan, Chongyuan AU - Wang, Junyang AU - Zhang, Yuanyuan PY - 2024/6/10 TI - From the Public Health Perspective: a Scalable Model for Improving Epidemiological Testing Efficacy in Low- and Middle-Income Areas JO - JMIR Public Health Surveill SP - e55194 VL - 10 KW - low- and middle-income country KW - LMIC KW - pandemic KW - epidemiological surveillance KW - universal public health KW - nonpharmacological interventions KW - public health KW - callable model KW - efficacy KW - COVID-19 KW - public safety threats KW - effectiveness KW - China KW - detection KW - epidemic UR - https://publichealth.jmir.org/2024/1/e55194 UR - http://dx.doi.org/10.2196/55194 UR - http://www.ncbi.nlm.nih.gov/pubmed/38857063 ID - info:doi/10.2196/55194 ER - TY - JOUR AU - Borchering, K. Rebecca AU - Biggerstaff, Matthew AU - Brammer, Lynnette AU - Budd, Alicia AU - Garg, Shikha AU - Fry, M. Alicia AU - Iuliano, Danielle A. AU - Reed, Carrie PY - 2024/4/8 TI - Responding to the Return of Influenza in the United States by Applying Centers for Disease Control and Prevention Surveillance, Analysis, and Modeling to Inform Understanding of Seasonal Influenza JO - JMIR Public Health Surveill SP - e54340 VL - 10 KW - disease burden KW - modeling KW - seasonal influenza KW - surveillance UR - https://publichealth.jmir.org/2024/1/e54340 UR - http://dx.doi.org/10.2196/54340 UR - http://www.ncbi.nlm.nih.gov/pubmed/38587882 ID - info:doi/10.2196/54340 ER - TY - JOUR AU - Rigby, C. Ryan AU - Ferdinand, O. Alva AU - Kum, Hye-Chung AU - Schmit, Cason PY - 2024/3/28 TI - Data Sharing in a Decentralized Public Health System: Lessons From COVID-19 Syndromic Surveillance JO - JMIR Public Health Surveill SP - e52587 VL - 10 KW - syndromic surveillance KW - federalism KW - COVID-19 KW - public health KW - SARS-CoV-2 KW - COVID-19 pandemic KW - United States KW - decentralized KW - data sharing KW - digital health KW - ethical guidelines KW - risk score KW - technology KW - innovation KW - information system KW - collaborative framework KW - infodemiology KW - digital technology KW - health information KW - health data KW - health policy KW - surveillance UR - https://publichealth.jmir.org/2024/1/e52587 UR - http://dx.doi.org/10.2196/52587 UR - http://www.ncbi.nlm.nih.gov/pubmed/38546731 ID - info:doi/10.2196/52587 ER - TY - JOUR AU - Benton, S. Jack AU - French, P. David PY - 2024/2/21 TI - Untapped Potential of Unobtrusive Observation for Studying Health Behaviors JO - JMIR Public Health Surveill SP - e46638 VL - 10 KW - health behavior KW - environments KW - context KW - unobtrusive observation KW - video technology KW - computer vision UR - https://publichealth.jmir.org/2024/1/e46638 UR - http://dx.doi.org/10.2196/46638 UR - http://www.ncbi.nlm.nih.gov/pubmed/38381483 ID - info:doi/10.2196/46638 ER - TY - JOUR AU - Kufoof, Lara AU - Hajjeh, Rana AU - Al Nsour, Mohannad AU - Saad, Randa AU - Bélorgeot, Victoria AU - Abubakar, Abdinasir AU - Khader, Yousef AU - Rawaf, Salman PY - 2024/2/15 TI - Learning From COVID-19: What Would It Take to Be Better Prepared in the Eastern Mediterranean Region? JO - JMIR Public Health Surveill SP - e40491 VL - 10 KW - COVID-19 KW - integration KW - pandemic preparedness KW - primary health care KW - public health UR - https://publichealth.jmir.org/2024/1/e40491 UR - http://dx.doi.org/10.2196/40491 UR - http://www.ncbi.nlm.nih.gov/pubmed/38359418 ID - info:doi/10.2196/40491 ER - TY - JOUR AU - Benda, Natalie AU - Dougherty, Kylie AU - Gebremariam Gobezayehu, Abebe AU - Cranmer, N. John AU - Zawtha, Sakie AU - Andreadis, Katerina AU - Biza, Heran AU - Masterson Creber, Ruth PY - 2024/2/12 TI - Designing Electronic Data Capture Systems for Sustainability in Low-Resource Settings: Viewpoint With Lessons Learned From Ethiopia and Myanmar JO - JMIR Public Health Surveill SP - e47703 VL - 10 KW - low and middle income countries KW - LMIC KW - electronic data capture KW - population health surveillance, sociotechnical system KW - data infrastructure KW - electronic data system KW - health care system KW - technology KW - information system KW - health program development KW - intervention UR - https://publichealth.jmir.org/2024/1/e47703 UR - http://dx.doi.org/10.2196/47703 UR - http://www.ncbi.nlm.nih.gov/pubmed/38345833 ID - info:doi/10.2196/47703 ER - TY - JOUR AU - Sharma, Yashoda AU - Saha, Anindita AU - Goldsack, C. Jennifer PY - 2024/2/9 TI - Defining the Dimensions of Diversity to Promote Inclusion in the Digital Era of Health Care: A Lexicon JO - JMIR Public Health Surveill SP - e51980 VL - 10 KW - digital medicine KW - inclusion KW - digital health technology/product KW - digital health KW - digital technology KW - health care system KW - innovation KW - equity KW - quality KW - disparity KW - digital era KW - digital access KW - digital literacy UR - https://publichealth.jmir.org/2024/1/e51980 UR - http://dx.doi.org/10.2196/51980 UR - http://www.ncbi.nlm.nih.gov/pubmed/38335013 ID - info:doi/10.2196/51980 ER - TY - JOUR AU - Leal Neto, Onicio AU - Von Wyl, Viktor PY - 2024/1/25 TI - Digital Transformation of Public Health for Noncommunicable Diseases: Narrative Viewpoint of Challenges and Opportunities JO - JMIR Public Health Surveill SP - e49575 VL - 10 KW - digital public health KW - artificial intelligence KW - non-communicable diseases KW - digital health KW - surveillance KW - well being KW - technological advancement KW - public health efficiency KW - digital innovation UR - https://publichealth.jmir.org/2024/1/e49575 UR - http://dx.doi.org/10.2196/49575 UR - http://www.ncbi.nlm.nih.gov/pubmed/38271097 ID - info:doi/10.2196/49575 ER - TY - JOUR AU - Ramos, P. Pablo Ivan AU - Marcilio, Izabel AU - Bento, I. Ana AU - Penna, O. Gerson AU - de Oliveira, F. Juliane AU - Khouri, Ricardo AU - Andrade, S. Roberto F. AU - Carreiro, P. Roberto AU - Oliveira, A. Vinicius de AU - Galvão, C. Luiz Augusto AU - Landau, Luiz AU - Barreto, L. Mauricio AU - van der Horst, Kay AU - Barral-Netto, Manoel AU - PY - 2024/1/9 TI - Combining Digital and Molecular Approaches Using Health and Alternate Data Sources in a Next-Generation Surveillance System for Anticipating Outbreaks of Pandemic Potential JO - JMIR Public Health Surveill SP - e47673 VL - 10 KW - data integration KW - digital public health KW - infectious disease surveillance KW - pandemic preparedness KW - prevention KW - response UR - https://publichealth.jmir.org/2024/1/e47673 UR - http://dx.doi.org/10.2196/47673 UR - http://www.ncbi.nlm.nih.gov/pubmed/38194263 ID - info:doi/10.2196/47673 ER - TY - JOUR AU - Massey, M. Philip AU - Murray, M. Regan AU - Chiang, C. Shawn AU - Russell, M. Alex AU - Yudell, A. Michael PY - 2023/12/29 TI - Social Media, Public Health Research, and Vulnerability: Considerations to Advance Ethical Guidelines and Strengthen Future Research JO - JMIR Public Health Surveill SP - e49881 VL - 9 KW - research ethics KW - social media KW - vulnerable populations KW - public health KW - ethical guidelines KW - algorithms KW - manipulation UR - https://publichealth.jmir.org/2023/1/e49881 UR - http://dx.doi.org/10.2196/49881 UR - http://www.ncbi.nlm.nih.gov/pubmed/38157235 ID - info:doi/10.2196/49881 ER - TY - JOUR AU - Masel, Joanna AU - Petrie, Mackie James Ian AU - Bay, Jason AU - Ebbers, Wolfgang AU - Sharan, Aalekh AU - Leibrand, Michael Scott AU - Gebhard, Andreas AU - Zimmerman, Samuel PY - 2023/12/4 TI - Combatting SARS-CoV-2 With Digital Contact Tracing and Notification: Navigating Six Points of Failure JO - JMIR Public Health Surveill SP - e49560 VL - 9 KW - COVID-19 KW - SARS-CoV-2 KW - pandemic preparedness KW - decentralized protocols KW - smartphone KW - mobile phone KW - contact tracing UR - https://publichealth.jmir.org/2023/1/e49560 UR - http://dx.doi.org/10.2196/49560 UR - http://www.ncbi.nlm.nih.gov/pubmed/38048155 ID - info:doi/10.2196/49560 ER - TY - JOUR AU - Arias de la Torre, Jorge AU - Vilagut, Gemma AU - Ronaldson, Amy AU - Bakolis, Ioannis AU - Dregan, Alex AU - Navarro-Mateu, Fernando AU - Pérez, Katherine AU - Szücs, Anna AU - Bartoll-Roca, Xavier AU - Molina, J. Antonio AU - Elices, Matilde AU - Pérez-Solá, Víctor AU - Martín, Vicente AU - Serrano-Blanco, Antoni AU - Valderas, M. Jose AU - Alonso, Jordi PY - 2023/11/23 TI - Reconsidering the Use of Population Health Surveys for Monitoring of Mental Health JO - JMIR Public Health Surveill SP - e48138 VL - 9 KW - mental health KW - public heath KW - burden KW - health surveys KW - monitoring KW - status KW - data collection KW - electronic health record KW - challenges KW - assessment tool KW - population KW - population health survey UR - https://publichealth.jmir.org/2023/1/e48138 UR - http://dx.doi.org/10.2196/48138 UR - http://www.ncbi.nlm.nih.gov/pubmed/37995112 ID - info:doi/10.2196/48138 ER - TY - JOUR AU - Pan, Xiaogao AU - Hounye, Houssou Alphonse AU - Zhao, Yuqi AU - Cao, Cong AU - Wang, Jiaoju AU - Abidi, Venunye Mimi AU - Hou, Muzhou AU - Xiong, Li AU - Chai, Xiangping PY - 2023/11/6 TI - A Digital Mask-Voiceprint System for Postpandemic Surveillance and Tracing Based on the STRONG Strategy JO - J Med Internet Res SP - e44795 VL - 25 KW - COVID-19 KW - surveillance KW - digital tracing KW - mask management KW - voiceprint KW - Spatiotemporal Reporting Over Network and GPS KW - STRONG KW - STRONG strategy KW - living with the virus KW - dynamic clearance KW - digital surveillance KW - pandemic KW - vaccine KW - public health KW - mental KW - social KW - communication technology KW - communication KW - tracing UR - https://www.jmir.org/2023/1/e44795 UR - http://dx.doi.org/10.2196/44795 UR - http://www.ncbi.nlm.nih.gov/pubmed/37856760 ID - info:doi/10.2196/44795 ER - TY - JOUR AU - Oudat, Qutaibah AU - Bakas, Tamilyn PY - 2023/10/11 TI - Merits and Pitfalls of Social Media as a Platform for Recruitment of Study Participants JO - J Med Internet Res SP - e47705 VL - 25 KW - recruitment KW - social media KW - review KW - study participant KW - methods UR - https://www.jmir.org/2023/1/e47705 UR - http://dx.doi.org/10.2196/47705 UR - http://www.ncbi.nlm.nih.gov/pubmed/37819692 ID - info:doi/10.2196/47705 ER - TY - JOUR AU - Leal Neto, Onicio AU - Paolotti, Daniela AU - Dalton, Craig AU - Carlson, Sandra AU - Susumpow, Patipat AU - Parker, Matt AU - Phetra, Polowat AU - Lau, Y. Eric H. AU - Colizza, Vittoria AU - Jan van Hoek, Albert AU - Kjelsø, Charlotte AU - Brownstein, S. John AU - Smolinski, S. Mark PY - 2023/9/1 TI - Enabling Multicentric Participatory Disease Surveillance for Global Health Enhancement: Viewpoint on Global Flu View JO - JMIR Public Health Surveill SP - e46644 VL - 9 KW - participatory surveillance KW - digital epidemiology KW - influenza-like illness KW - data transfer KW - surveillance KW - digital platform KW - Global Flu View KW - program KW - data sharing KW - public health KW - innovative KW - flu UR - https://publichealth.jmir.org/2023/1/e46644 UR - http://dx.doi.org/10.2196/46644 UR - http://www.ncbi.nlm.nih.gov/pubmed/37490846 ID - info:doi/10.2196/46644 ER - TY - JOUR AU - Høj, Bordier Stine AU - de Montigny, Catherine AU - Chougar, Sofiane AU - Léandre, Robert AU - Beauchemin-Nadeau, Marie-Ève AU - Boyer-Legault, Geneviève AU - Goyette, Amélie AU - Lamont, Sara-Kim AU - Bruneau, Julie PY - 2023/7/26 TI - Co-Constructing a Community-Based Telemedicine Program for People With Opioid Use Disorder During the COVID-19 Pandemic: Lessons Learned and Implications for Future Service Delivery JO - JMIR Public Health Surveill SP - e39236 VL - 9 KW - opioid agonist treatment KW - opioid use disorder KW - medications for opioid use disorder KW - harm reduction KW - access to care KW - retention KW - telemedicine KW - telehealth KW - community-based services KW - opioid use KW - remote care KW - healthcare service KW - health care service KW - COVID-19 KW - substance abuse KW - opioid disorder UR - https://publichealth.jmir.org/2023/1/e39236 UR - http://dx.doi.org/10.2196/39236 UR - http://www.ncbi.nlm.nih.gov/pubmed/37494097 ID - info:doi/10.2196/39236 ER - TY - JOUR AU - Pihlajamäki, Mika AU - Wickström, Sara AU - Puranen, Kaija AU - Helve, Otto AU - Yrttiaho, Aleksi AU - Siira, Lotta PY - 2023/7/13 TI - Implementing and Maintaining a SARS-CoV-2 Exposure Notification Application for Mobile Phones: The Finnish Experience JO - JMIR Public Health Surveill SP - e46563 VL - 9 KW - digital proximity tracing KW - DPT KW - exposure notification application KW - ENA KW - COVID-19 KW - Finland KW - digital health KW - mobile health KW - mHealth KW - contact tracing KW - user KW - data privacy KW - effectiveness KW - mobile app KW - technology KW - public health UR - https://publichealth.jmir.org/2023/1/e46563 UR - http://dx.doi.org/10.2196/46563 UR - http://www.ncbi.nlm.nih.gov/pubmed/37440286 ID - info:doi/10.2196/46563 ER - TY - JOUR AU - Sganzerla Martinez, Gustavo AU - Kelvin, J. David PY - 2023/6/22 TI - Convergence in Mobility Data Sets From Apple, Google, and Meta JO - JMIR Public Health Surveill SP - e44286 VL - 9 KW - Google KW - Apple KW - Meta KW - COVID-19 mobility KW - COVID-19 KW - mobility KW - data set KW - data KW - pattern KW - pandemic KW - mobile KW - operating system KW - system KW - validation KW - tool KW - asset N2 - Background: The higher movement of people was one of the variables that contributed to the spread of the infectious agent SARS-CoV-2 during the COVID-19 pandemic. Governments worldwide responded to the virus by implementing measures that would restrict people?s movements, and consequently, the spread of the disease. During the onset of the pandemic, the technology companies Apple, Google, and Meta used their infrastructure to anonymously gather mobility reports from their users. Objective: This study aims to compare mobility data reports collected by Apple, Google, and Meta (formerly Facebook) during the COVID-19 pandemic and a major winter storm in Texas in 2021. We aim to explore the hypothesis that different people exhibit similar mobility trends during dramatic events and to emphasize the importance of this type of data for public health measures. The study also aims to promote evidence for companies to continue releasing mobility trends data, given that all 3 companies have discontinued these services. Methods: In this study, we collected mobility data spanning from 2020 to 2022 from 3 major tech companies: Apple, Google, and Meta. Our analysis focused on 58 countries that are common to all 3 databases, enabling us to conduct a comprehensive global-scale analysis. By using the winter storm that occurred in Texas in 20201 as a benchmark, we were able to assess the robustness of the mobility data obtained from the 3 companies and ensure the integrity of our findings. Results: Our study revealed convergence in the mobility trends observed across different companies during the onset of significant disasters, such as the first year of the COVID-19 pandemic and the winter storm that impacted Texas in 2021. Specifically, we observed strong positive correlations (r=0.96) in the mobility data collected from different tech companies during the first year of the pandemic. Furthermore, our analysis of mobility data during the 2021 winter storm in Texas showed a similar convergence of trends. Additionally, we found that periods of stay-at-home orders were reflected in the data, with record-low mobility and record-high stay-at-home figures. Conclusions: Our findings provide valuable insights into the ways in which major disruptive events can impact patterns of human mobility; moreover, the convergence of data across distinct methodologies highlights the potential value of leveraging mobility data from multiple sources for informing public health decision-making. Therefore, we conclude that the use of mobility data is an asset for health authorities to consider during natural disasters, as we determined that the data sets from 3 companies yielded convergent mobility patterns. Comparatively, data obtained from a single source would be limited, and therefore, more difficult to interpret, requiring careful analysis. UR - https://publichealth.jmir.org/2023/1/e44286 UR - http://dx.doi.org/10.2196/44286 UR - http://www.ncbi.nlm.nih.gov/pubmed/37347516 ID - info:doi/10.2196/44286 ER - TY - JOUR AU - Saad, K. Randa AU - Maiteh, Adna AU - Nakkash, Rima AU - Salloum, G. Ramzi AU - Chalak, Ali AU - Abu-Rmeileh, E. Niveen M. AU - Khader, Yousef AU - Al Nsour, Mohannad PY - 2023/3/23 TI - Monitoring and Combating Waterpipe Tobacco Smoking Through Surveillance and Taxation JO - JMIR Public Health Surveill SP - e40177 VL - 9 KW - waterpipe tobacco KW - smoking KW - tobacco taxation KW - Global Tobacco Surveillance System KW - GTSS KW - Eastern Mediterranean Region KW - tobacco KW - public health KW - surveillance KW - taxation UR - https://publichealth.jmir.org/2023/1/e40177 UR - http://dx.doi.org/10.2196/40177 UR - http://www.ncbi.nlm.nih.gov/pubmed/36951907 ID - info:doi/10.2196/40177 ER - TY - JOUR AU - Hailat, Ekhlas AU - Amiri, Mirwais AU - Debnath, Nitish AU - Rahman, Mahmudur AU - Nurul Islam, Md AU - Fatima, Zahida AU - Khader, Yousef AU - Al Nsour, Mohannad PY - 2023/3/21 TI - Strengthening the One Health Approach in the Eastern Mediterranean Region JO - Interact J Med Res SP - e41190 VL - 12 KW - One Health KW - operationalization KW - zoonosis KW - antimicrobial resistance, Eastern Mediterranean region countries UR - https://www.i-jmr.org/2023/1/e41190 UR - http://dx.doi.org/10.2196/41190 UR - http://www.ncbi.nlm.nih.gov/pubmed/36943329 ID - info:doi/10.2196/41190 ER - TY - JOUR AU - PY - 2023/3/9 TI - Toward Public Health Resilience in the Eastern Mediterranean Region: Findings From the Seventh Eastern Mediterranean Public Health Network Regional Conference JO - Interact J Med Res SP - e36356 VL - 12 KW - COVID-19 KW - surveillance KW - public health KW - health system KW - conference KW - Eastern Mediterranean Region UR - https://www.i-jmr.org/2023/1/e36356 UR - http://dx.doi.org/10.2196/36356 UR - http://www.ncbi.nlm.nih.gov/pubmed/36892927 ID - info:doi/10.2196/36356 ER - TY - JOUR AU - Chan, Y. Isaac H. AU - Gofine, Miriam AU - Arora, Shitij AU - Shaikh, Ahmed AU - Balsari, Satchit PY - 2023/3/8 TI - Technology, Training, and Task Shifting at the World?s Largest Mass Gathering in 2025: An Opportunity for Antibiotic Stewardship in India JO - JMIR Public Health Surveill SP - e45121 VL - 9 KW - digital tools KW - mass gathering KW - Kumbh Mela KW - antibiotics KW - antimicrobial KW - stewardship KW - surveillance KW - public health KW - informatics KW - India UR - https://publichealth.jmir.org/2023/1/e45121 UR - http://dx.doi.org/10.2196/45121 UR - http://www.ncbi.nlm.nih.gov/pubmed/36805363 ID - info:doi/10.2196/45121 ER - TY - JOUR AU - Koohsari, Javad Mohammad AU - McCormack, R. Gavin AU - Nakaya, Tomoki AU - Yasunaga, Akitomo AU - Fuller, Daniel AU - Nagai, Yukari AU - Oka, Koichiro PY - 2023/2/13 TI - The Metaverse, the Built Environment, and Public Health: Opportunities and Uncertainties JO - J Med Internet Res SP - e43549 VL - 25 KW - virtual reality KW - technology KW - neighborhood KW - urban design KW - health KW - epidemiology KW - artificial intelligence KW - sport sciences KW - augmented reality KW - health care UR - https://www.jmir.org/2023/1/e43549 UR - http://dx.doi.org/10.2196/43549 UR - http://www.ncbi.nlm.nih.gov/pubmed/36780208 ID - info:doi/10.2196/43549 ER - TY - JOUR AU - Nicholson, Nicholas AU - Caldeira, Sandra AU - Furtado, Artur AU - Nicholl, Ciaran PY - 2023/1/13 TI - Trusted Data Spaces as a Viable and Sustainable Solution for Networks of Population-Based Patient Registries JO - JMIR Public Health Surveill SP - e34123 VL - 9 KW - population-based patient registries KW - trusted research environments KW - registry network model KW - data federation KW - cancer registries KW - noncommunicable diseases UR - https://publichealth.jmir.org/2023/1/e34123 UR - http://dx.doi.org/10.2196/34123 UR - http://www.ncbi.nlm.nih.gov/pubmed/36637894 ID - info:doi/10.2196/34123 ER - TY - JOUR AU - Tay, Wesley AU - Quek, Rina AU - Kaur, Bhupinder AU - Lim, Joseph AU - Henry, Jeyakumar Christiani PY - 2022/7/18 TI - Use of Facial Morphology to Determine Nutritional Status in Older Adults: Opportunities and Challenges JO - JMIR Public Health Surveill SP - e33478 VL - 8 IS - 7 KW - malnutrition KW - facial recognition KW - facial morphology KW - telemonitoring KW - 3D scans KW - digital health KW - digital nutrition KW - public health nutrition KW - mobile phone UR - https://publichealth.jmir.org/2022/7/e33478 UR - http://dx.doi.org/10.2196/33478 UR - http://www.ncbi.nlm.nih.gov/pubmed/35849429 ID - info:doi/10.2196/33478 ER - TY - JOUR AU - Kim, HyunJung PY - 2022/5/16 TI - The Korean 3T Practice: New Biosurveillance Model Utilizing New Information Technology and Digital Tools JO - JMIR Form Res SP - e34284 VL - 6 IS - 5 KW - biodefense KW - biosurveillance KW - public health KW - health security KW - COVID-19 KW - defense KW - surveillance KW - security KW - South Korea KW - information technology KW - digital health KW - pandemic KW - testing KW - tracing KW - treating KW - strategy KW - privacy UR - https://formative.jmir.org/2022/5/e34284 UR - http://dx.doi.org/10.2196/34284 UR - http://www.ncbi.nlm.nih.gov/pubmed/35442902 ID - info:doi/10.2196/34284 ER - TY - JOUR AU - Basch, E. Charles AU - Basch, H. Corey PY - 2022/3/7 TI - Epidemiology, Secondary School Curricula, and Preparing the Next Generation for Global Citizenship JO - JMIR Public Health Surveill SP - e36006 VL - 8 IS - 3 KW - COVID-19 KW - epidemiology KW - secondary school KW - global citizenship KW - emerging infectious disease KW - public health KW - teaching KW - student KW - high school education KW - population health UR - https://publichealth.jmir.org/2022/3/e36006 UR - http://dx.doi.org/10.2196/36006 UR - http://www.ncbi.nlm.nih.gov/pubmed/35254281 ID - info:doi/10.2196/36006 ER - TY - JOUR AU - Kernan, D. William AU - Basch, H. Corey PY - 2022/3/4 TI - Adaptation of an In-Person Internship to a Virtual Format for Public Health Undergraduates JO - JMIR Public Health Surveill SP - e35252 VL - 8 IS - 3 KW - internship KW - remote learning KW - high-impact practice KW - COVID-19 KW - public health education KW - learning outcomes KW - virtual learning KW - virtual internship KW - public health KW - health education KW - undergraduate education KW - virtual education UR - https://publichealth.jmir.org/2022/3/e35252 UR - http://dx.doi.org/10.2196/35252 UR - http://www.ncbi.nlm.nih.gov/pubmed/35089869 ID - info:doi/10.2196/35252 ER - TY - JOUR AU - Geneviève, Darryl Lester AU - Martani, Andrea AU - Wangmo, Tenzin AU - Elger, Simone Bernice PY - 2022/3/4 TI - Precision Public Health and Structural Racism in the United States: Promoting Health Equity in the COVID-19 Pandemic Response JO - JMIR Public Health Surveill SP - e33277 VL - 8 IS - 3 KW - precision public health KW - structural racism KW - COVID-19 KW - pandemic KW - social justice KW - health equity KW - SARS-CoV-2 KW - stigma KW - discrimination KW - disparity KW - inequality KW - precision health KW - public health KW - racism KW - equity KW - mortality KW - morbidity UR - https://publichealth.jmir.org/2022/3/e33277 UR - http://dx.doi.org/10.2196/33277 UR - http://www.ncbi.nlm.nih.gov/pubmed/35089868 ID - info:doi/10.2196/33277 ER - TY - JOUR AU - Syed Abdul, Shabbir AU - Ramaswamy, Meghna AU - Fernandez-Luque, Luis AU - John, Oommen AU - Pitti, Thejkiran AU - Parashar, Babita PY - 2021/12/8 TI - The Pandemic, Infodemic, and People?s Resilience in India: Viewpoint JO - JMIR Public Health Surveill SP - e31645 VL - 7 IS - 12 KW - pandemic KW - COVID-19 KW - India KW - digital health KW - infodemics KW - Sustainable Development Goals KW - SDGs UR - https://publichealth.jmir.org/2021/12/e31645 UR - http://dx.doi.org/10.2196/31645 UR - http://www.ncbi.nlm.nih.gov/pubmed/34787574 ID - info:doi/10.2196/31645 ER - TY - JOUR AU - Oyibo, Kiemute AU - Morita, Pelegrini Plinio PY - 2021/11/16 TI - Designing Better Exposure Notification Apps: The Role of Persuasive Design JO - JMIR Public Health Surveill SP - e28956 VL - 7 IS - 11 KW - contact tracing app KW - exposure notification app KW - COVID Alert KW - COVID-19 KW - persuasive technology KW - behavior change N2 - Background: Digital contact tracing apps have been deployed worldwide to limit the spread of COVID-19 during this pandemic and to facilitate the lifting of public health restrictions. However, due to privacy-, trust-, and design-related issues, the apps are yet to be widely adopted. This calls for an intervention to enable a critical mass of users to adopt them. Objective: The aim of this paper is to provide guidelines to design contact tracing apps as persuasive technologies to make them more appealing and effective. Methods: We identified the limitations of the current contact tracing apps on the market using the Government of Canada?s official exposure notification app (COVID Alert) as a case study. Particularly, we identified three interfaces in the COVID Alert app where the design can be improved. The interfaces include the no exposure status interface, exposure interface, and diagnosis report interface. We propose persuasive technology design guidelines to make them more motivational and effective in eliciting the desired behavior change. Results: Apart from trust and privacy concerns, we identified the minimalist and nonmotivational design of exposure notification apps as the key design-related factors that contribute to the current low uptake. We proposed persuasive strategies such as self-monitoring of daily contacts and exposure time to make the no exposure and exposure interfaces visually appealing and motivational. Moreover, we proposed social learning, praise, and reward to increase the diagnosis report interface?s effectiveness. Conclusions: We demonstrated that exposure notification apps can be designed as persuasive technologies by incorporating key persuasive features, which have the potential to improve uptake, use, COVID-19 diagnosis reporting, and compliance with social distancing guidelines. UR - https://publichealth.jmir.org/2021/11/e28956 UR - http://dx.doi.org/10.2196/28956 UR - http://www.ncbi.nlm.nih.gov/pubmed/34783673 ID - info:doi/10.2196/28956 ER - TY - JOUR AU - Busse, Sophie Theresa AU - Kernebeck, Sven AU - Nef, Larissa AU - Rebacz, Patrick AU - Kickbusch, Ilona AU - Ehlers, Peter Jan PY - 2021/11/10 TI - Views on Using Social Robots in Professional Caregiving: Content Analysis of a Scenario Method Workshop JO - J Med Internet Res SP - e20046 VL - 23 IS - 11 KW - social robots KW - robotics KW - health care sector KW - health personnel KW - ethics KW - forecasting KW - trends KW - technology KW - digital transformation KW - professional caregiving N2 - Background: Interest in digital technologies in the health care sector is growing and can be a way to reduce the burden on professional caregivers while helping people to become more independent. Social robots are regarded as a special form of technology that can be usefully applied in professional caregiving with the potential to focus on interpersonal contact. While implementation is progressing slowly, a debate on the concepts and applications of social robots in future care is necessary. Objective: In addition to existing studies with a focus on societal attitudes toward social robots, there is a need to understand the views of professional caregivers and patients. This study used desired future scenarios to collate the perspectives of experts and analyze the significance for developing the place of social robots in care. Methods: In February 2020, an expert workshop was held with 88 participants (health professionals and educators; [PhD] students of medicine, health care, professional care, and technology; patient advocates; software developers; government representatives; and research fellows) from Austria, Germany, and Switzerland. Using the scenario methodology, the possibilities of analog professional care (Analog Care), fully robotic professional care (Robotic Care), teams of robots and professional caregivers (Deep Care), and professional caregivers supported by robots (Smart Care) were discussed. The scenarios were used as a stimulus for the development of ideas about future professional caregiving. The discussion was evaluated using qualitative content analysis. Results: The majority of the experts were in favor of care in which people are supported by technology (Deep Care) and developed similar scenarios with a focus on dignity-centeredness. The discussions then focused on the steps necessary for its implementation, highlighting a strong need for the development of eHealth competence in society, a change in the training of professional caregivers, and cross-sectoral concepts. The experts also saw user acceptance as crucial to the use of robotics. This involves the acceptance of both professional caregivers and care recipients. Conclusions: The literature review and subsequent workshop revealed how decision-making about the value of social robots depends on personal characteristics related to experience and values. There is therefore a strong need to recognize individual perspectives of care before social robots become an integrated part of care in the future. UR - https://www.jmir.org/2021/11/e20046 UR - http://dx.doi.org/10.2196/20046 UR - http://www.ncbi.nlm.nih.gov/pubmed/34757318 ID - info:doi/10.2196/20046 ER - TY - JOUR AU - Pisani, Elizabeth AU - Hasnida, Amalia AU - Rahmi, Mawaddati AU - Kok, Olivier Maarten AU - Harsono, Steven AU - Anggriani, Yusi PY - 2021/8/16 TI - Substandard and Falsified Medicines: Proposed Methods for Case Finding and Sentinel Surveillance JO - JMIR Public Health Surveill SP - e29309 VL - 7 IS - 8 KW - substandard drugs KW - falsified medicine KW - counterfeit medicine KW - medicine quality KW - sentinel surveillance KW - public health surveillance KW - substandard KW - pharmaceuticals KW - surveillance KW - public health UR - https://publichealth.jmir.org/2021/8/e29309 UR - http://dx.doi.org/10.2196/29309 UR - http://www.ncbi.nlm.nih.gov/pubmed/34181563 ID - info:doi/10.2196/29309 ER - TY - JOUR AU - Donida, Bruna AU - da Costa, André Cristiano AU - Scherer, Nichterwitz Juliana PY - 2021/6/29 TI - Making the COVID-19 Pandemic a Driver for Digital Health: Brazilian Strategies JO - JMIR Public Health Surveill SP - e28643 VL - 7 IS - 6 KW - COVID-19 KW - digital technology KW - Brazil KW - public health KW - medical informatics KW - digital health KW - strategy KW - outbreak KW - system KW - data KW - health data KW - implementation KW - monitoring UR - https://publichealth.jmir.org/2021/6/e28643 UR - http://dx.doi.org/10.2196/28643 UR - http://www.ncbi.nlm.nih.gov/pubmed/34101613 ID - info:doi/10.2196/28643 ER - TY - JOUR AU - Fukunaga, Rena AU - Lowrance, David AU - MacNeil, Adam AU - Al-Samarrai, Teeb AU - Cavanaugh, Joseph AU - Baddeley, Annabel AU - Nichols, Catherine AU - Peterson, Meaghan AU - Ahmedov, Sevim AU - Singh, Vindi AU - Edwards, Gracia Celeste AU - Jain, Suman AU - Date, Anand AU - Maloney, A. Susan PY - 2021/4/30 TI - Collect Once, Use Many Times: Attaining Unified Metrics for Tuberculosis Preventive Treatment for People Living With HIV JO - JMIR Public Health Surveill SP - e27013 VL - 7 IS - 4 KW - tuberculosis preventive treatment KW - monitoring and evaluation KW - people living with HIV KW - HIV KW - TB KW - infectious disease KW - preventative treatment UR - https://publichealth.jmir.org/2021/4/e27013 UR - http://dx.doi.org/10.2196/27013 UR - http://www.ncbi.nlm.nih.gov/pubmed/33929335 ID - info:doi/10.2196/27013 ER - TY - JOUR AU - Utunen, Heini AU - Van Kerkhove, D. Maria AU - Tokar, Anna AU - O'Connell, Gillian AU - Gamhewage, M. Gaya AU - Fall, Socé Ibrahima PY - 2021/4/21 TI - One Year of Pandemic Learning Response: Benefits of Massive Online Delivery of the World Health Organization?s Technical Guidance JO - JMIR Public Health Surveill SP - e28945 VL - 7 IS - 4 KW - COVID-19 KW - e-learning KW - massive open web-based courses KW - OpenWHO KW - pandemic KW - public health KW - web-based learning KW - World Health Organization UR - https://publichealth.jmir.org/2021/4/e28945 UR - http://dx.doi.org/10.2196/28945 UR - http://www.ncbi.nlm.nih.gov/pubmed/33881404 ID - info:doi/10.2196/28945 ER - TY - JOUR AU - Cerqueira-Silva, Thiago AU - Carreiro, Roberto AU - Nunes, Victor AU - Passos, Louran AU - Canedo, F. Bernardo AU - Andrade, Sofia AU - Ramos, P. Pablo Ivan AU - Khouri, Ricardo AU - Santos, Souza Carolina Barbosa AU - Nascimento, Santos Jedson Dos AU - Paste, Angélica Aurea AU - Paiva Filho, Mattos Ivan De AU - Santini-Oliveira, Marília AU - Cruz, Álvaro AU - Barral-Netto, Manoel AU - Boaventura, Viviane PY - 2021/3/4 TI - Bridging Learning in Medicine and Citizenship During the COVID-19 Pandemic: A Telehealth-Based Case Study JO - JMIR Public Health Surveill SP - e24795 VL - 7 IS - 3 KW - medical education KW - surveillance KW - COVID-19 KW - education KW - telehealth KW - training KW - impact KW - medical student KW - triage KW - epidemiology KW - monitoring N2 - Background: COVID-19 presented great challenges for not only those in the field of health care but also those undergoing medical training. The burden on health care services worldwide has limited the educational opportunities available for medical students due to social distancing requirements. Objective: In this paper, we describe a strategy that combines telehealth and medical training to mitigate the adverse effects of the COVID-19 pandemic. Methods: A toll-free telescreening service, Telecoronavirus, began operations in March 2020. This service was operated remotely by supervised medical students and was offered across all 417 municipalities (14.8 million inhabitants) in the Brazilian state of Bahia. Students recorded clinical and sociodemographic data by using a web-based application that was simultaneously accessed by medical volunteers for supervision purposes, as well as by state health authorities who conducted epidemiological surveillance and health management efforts. In parallel, students received up-to-date scientific information about COVID-19 via short educational videos prepared by professors. A continuously updated triage algorithm was conceived to provide consistent service. Results: The program operated for approximately 4 months, engaging 1396 medical students and 133 physicians. In total, 111,965 individuals residing in 343 municipalities used this service. Almost 70,000 individuals were advised to stay at home, and they received guidance to avoid disease transmission, potentially contributing to localized reductions in the spread of COVID-19. Additionally, the program promoted citizenship education for medical students, who were engaged in a real-life opportunity to fight the pandemic within their own communities. The objectives of the education, organization, and assistance domains of the Telecoronavirus program were successfully achieved according to the results of a web-based post-project survey that assessed physicians? and students? perceptions. Conclusions: In a prolonged pandemic scenario, a combination of remote tools and medical supervision via telehealth services may constitute a useful strategy for maintaining social distancing measures while preserving some practical aspects of medical education. A low-cost tool such as the Telecoronavirus program could be especially valuable in resource-limited health care scenarios, in addition to offering support for epidemiological surveillance actions. UR - https://publichealth.jmir.org/2021/3/e24795 UR - http://dx.doi.org/10.2196/24795 UR - http://www.ncbi.nlm.nih.gov/pubmed/33630746 ID - info:doi/10.2196/24795 ER - TY - JOUR AU - Alqutob, Raeda AU - Al Nsour, Mohannad AU - Tarawneh, Rasoul Mohammed AU - Ajlouni, Musa AU - Khader, Yousef AU - Aqel, Ibrahim AU - Kharabsheh, Saad AU - Obeidat, Nathir PY - 2020/7/7 TI - COVID-19 Crisis in Jordan: Response, Scenarios, Strategies, and Recommendations JO - JMIR Public Health Surveill SP - e19332 VL - 6 IS - 3 KW - infection KW - prevention KW - public health KW - pandemic KW - Jordan KW - virus KW - COVID-19 UR - https://publichealth.jmir.org/2020/3/e19332 UR - http://dx.doi.org/10.2196/19332 UR - http://www.ncbi.nlm.nih.gov/pubmed/32407289 ID - info:doi/10.2196/19332 ER - TY - JOUR AU - Inkster, Becky AU - O?Brien, Ross AU - Selby, Emma AU - Joshi, Smriti AU - Subramanian, Vinod AU - Kadaba, Madhura AU - Schroeder, Knut AU - Godson, Suzi AU - Comley, Kerstyn AU - Vollmer, J. Sebastian AU - Mateen, A. Bilal PY - 2020/7/6 TI - Digital Health Management During and Beyond the COVID-19 Pandemic: Opportunities, Barriers, and Recommendations JO - JMIR Ment Health SP - e19246 VL - 7 IS - 7 KW - digital mental health KW - call to action KW - due diligence KW - data insights KW - COVID-19 UR - https://mental.jmir.org/2020/7/e19246 UR - http://dx.doi.org/10.2196/19246 UR - http://www.ncbi.nlm.nih.gov/pubmed/32484783 ID - info:doi/10.2196/19246 ER - TY - JOUR AU - Guest, L. Jodie AU - del Rio, Carlos AU - Sanchez, Travis PY - 2020/4/6 TI - The Three Steps Needed to End the COVID-19 Pandemic: Bold Public Health Leadership, Rapid Innovations, and Courageous Political Will JO - JMIR Public Health Surveill SP - e19043 VL - 6 IS - 2 KW - COVID-19 KW - coronavirus KW - SARS-CoV-2 UR - https://publichealth.jmir.org/2020/2/e19043 UR - http://dx.doi.org/10.2196/19043 UR - http://www.ncbi.nlm.nih.gov/pubmed/32240972 ID - info:doi/10.2196/19043 ER - TY - JOUR AU - Emmanuel, Faran AU - Persaud, Navindra AU - Weir, S. Sharon AU - Bhattacharjee, Parinita AU - Isac, Shajy PY - 2019/06/06 TI - Programmatic Mapping: Providing Evidence for High Impact HIV Prevention Programs for Female Sex Workers JO - JMIR Public Health Surveill SP - e12636 VL - 5 IS - 2 KW - programmatic mapping KW - PLACE KW - size estimation KW - female sex workers KW - HIV prevention KW - microplanning KW - key populations UR - http://publichealth.jmir.org/2019/2/e12636/ UR - http://dx.doi.org/10.2196/12636 UR - http://www.ncbi.nlm.nih.gov/pubmed/31172964 ID - info:doi/10.2196/12636 ER - TY - JOUR AU - Borodovsky, T. Jacob AU - Marsch, A. Lisa AU - Budney, J. Alan PY - 2018/05/02 TI - Studying Cannabis Use Behaviors With Facebook and Web Surveys: Methods and Insights JO - JMIR Public Health Surveill SP - e48 VL - 4 IS - 2 KW - epidemiology KW - cross-sectional studies KW - sampling studies KW - social media KW - data collection KW - cannabis KW - surveys UR - http://publichealth.jmir.org/2018/2/e48/ UR - http://dx.doi.org/10.2196/publichealth.9408 UR - http://www.ncbi.nlm.nih.gov/pubmed/29720366 ID - info:doi/10.2196/publichealth.9408 ER - TY - JOUR AU - Conn, Cath AU - Nayar, Shoba AU - Lubis, Dinar AU - Maibvisira, Carol AU - Modderman, Kristel PY - 2017/08/14 TI - Vulnerable Youth as Prosumers in HIV Prevention: Studies Using Participatory Action Research JO - JMIR Public Health Surveill SP - e53 VL - 3 IS - 3 KW - community participation KW - social environments N2 - Background: Stigma, voicelessness, and legislative and rights barriers, coupled with top-down decision making, are the common experiences of vulnerable youth populations that limit their opportunities to participate in vital health promotion efforts such as HIV prevention. Objective: To consider new opportunities arising from a digital society for youth to creatively shape HIV prevention. Methods: Drawing on research with vulnerable youth in Busoga, Uganda; Bulawayo, Zimbabwe; Bangkok, Thailand; and Bali, Indonesia, we explore current youth participation, in theory and practice, while considering new opportunities arising from a digital society for youth to creatively shape HIV prevention. Results: Collaborative commons and prosumer models are defined as people employing new technology to codesign toward a common goal. Within the context of a diminishing role of the traditional institution and the rise of digitized networks, such models offer exciting new directions for youth as electronic health promotion prosumers to participate in difficult challenges such as HIV prevention in the 21st century. Conclusions: It is time for institutions to embrace such opportunities, especially in areas where access to technology is widening, while continuing to champion youth and advocate for supportive social environments. UR - http://publichealth.jmir.org/2017/3/e53/ UR - http://dx.doi.org/10.2196/publichealth.7812 UR - http://www.ncbi.nlm.nih.gov/pubmed/28807890 ID - info:doi/10.2196/publichealth.7812 ER - TY - JOUR AU - Kesse-Guyot, Emmanuelle AU - Assmann, Karen AU - Andreeva, Valentina AU - Castetbon, Katia AU - Méjean, Caroline AU - Touvier, Mathilde AU - Salanave, Benoît AU - Deschamps, Valérie AU - Péneau, Sandrine AU - Fezeu, Léopold AU - Julia, Chantal AU - Allès, Benjamin AU - Galan, Pilar AU - Hercberg, Serge PY - 2016/10/18 TI - Lessons Learned From Methodological Validation Research in E-Epidemiology JO - JMIR Public Health Surveill SP - e160 VL - 2 IS - 2 KW - cohort studies KW - bias, epidemiology N2 - Background: Traditional epidemiological research methods exhibit limitations leading to high logistics, human, and financial burden. The continued development of innovative digital tools has the potential to overcome many of the existing methodological issues. Nonetheless, Web-based studies remain relatively uncommon, partly due to persistent concerns about validity and generalizability. Objective: The objective of this viewpoint is to summarize findings from methodological studies carried out in the NutriNet-Santé study, a French Web-based cohort study. Methods: On the basis of the previous findings from the NutriNet-Santé e-cohort (>150,000 participants are currently included), we synthesized e-epidemiological knowledge on sample representativeness, advantageous recruitment strategies, and data quality. Results: Overall, the reported findings support the usefulness of Web-based studies in overcoming common methodological deficiencies in epidemiological research, in particular with regard to data quality (eg, the concordance for body mass index [BMI] classification was 93%), reduced social desirability bias, and access to a wide range of participant profiles, including the hard-to-reach subgroups such as young (12.30% [15,118/122,912], <25 years) and old people (6.60% [8112/122,912], ?65 years), unemployed or homemaker (12.60% [15,487/122,912]), and low educated (38.50% [47,312/122,912]) people. However, some selection bias remained (78.00% (95,871/122,912) of the participants were women, and 61.50% (75,590/122,912) had postsecondary education), which is an inherent aspect of cohort study inclusion; other specific types of bias may also have occurred. Conclusions: Given the rapidly growing access to the Internet across social strata, the recruitment of participants with diverse socioeconomic profiles and health risk exposures was highly feasible. Continued efforts concerning the identification of specific biases in e-cohorts and the collection of comprehensive and valid data are still needed. This summary of methodological findings from the NutriNet-Santé cohort may help researchers in the development of the next generation of high-quality Web-based epidemiological studies. UR - http://publichealth.jmir.org/2016/2/e160/ UR - http://dx.doi.org/10.2196/publichealth.5880 UR - http://www.ncbi.nlm.nih.gov/pubmed/27756715 ID - info:doi/10.2196/publichealth.5880 ER - TY - JOUR AU - Hart, Mark AU - Stetten, Nichole AU - Castaneda, Gail PY - 2016/02/24 TI - Considerations for Public Health Organizations Attempting to Implement a Social Media Presence: A Qualitative Study JO - JMIR Public Health Surveill SP - e6 VL - 2 IS - 1 KW - public health KW - social networking sites KW - professional development KW - training centers KW - Facebook KW - Twitter N2 - Background: In the past decade, social media has become an integral part of our everyday lives, but research on how this tool is used by public health workers and organizations is still developing. Budget cuts and staff reduction in county departments have required employees to take on more responsibilities. These reductions have caused a reduction in the time for training or collaborating with others in the field. To make up for the loss, many employees are seeking collaboration through social media sites but are unable to do so because state departments block these Internet sites. Objective: This study sought to highlight the key considerations and decision-making process for a public health organization deciding whether to implement a social media presence for their organization. Methods: Using 3 structured interviews, 15 stakeholders were questioned on their personal experience with social media, experience within the context of public health, and their thoughts on implementation for their center. Interviews were coded using constant comparative qualitative methods. Results: The following themes emerged from the interviews: (1) personal experience with technology and social networking sites, (2) use of social networking sites in public health, (3) use of social networking sites in work environments, (4) social networking sites access, (5) ways the Rural South Public Health Training Center could use social networking sites, and (6) perceived outcomes of social networking site usage for the Rural South Public Health Training Center (positive and negative). Conclusions: The collective voice of the center showed a positive perceived perception of social media implementation, with the benefits outweighing the risks. Despite the benefits, there is a cautious skepticism of the importance of social networking site use. UR - http://publichealth.jmir.org/2016/1/e6/ UR - http://dx.doi.org/10.2196/publichealth.5032 UR - http://www.ncbi.nlm.nih.gov/pubmed/27227160 ID - info:doi/10.2196/publichealth.5032 ER -