Published on in Vol 3 , No 4 (2017) :Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/7373, first published .
A Smartphone App (AfyaData) for Innovative One Health Disease Surveillance from Community to National Levels in Africa: Intervention in Disease Surveillance

A Smartphone App (AfyaData) for Innovative One Health Disease Surveillance from Community to National Levels in Africa: Intervention in Disease Surveillance

A Smartphone App (AfyaData) for Innovative One Health Disease Surveillance from Community to National Levels in Africa: Intervention in Disease Surveillance

Journals

  1. Udugama B, Kadhiresan P, Kozlowski H, Malekjahani A, Osborne M, Li V, Chen H, Mubareka S, Gubbay J, Chan W. Diagnosing COVID-19: The Disease and Tools for Detection. ACS Nano 2020;14(4):3822 View
  2. Leal Neto O, Cruz O, Albuquerque J, Nacarato de Sousa M, Smolinski M, Pessoa Cesse E, Libel M, Vieira de Souza W. Participatory Surveillance Based on Crowdsourcing During the Rio 2016 Olympic Games Using the Guardians of Health Platform: Descriptive Study. JMIR Public Health and Surveillance 2020;6(2):e16119 View
  3. Wilkes M, Papageorgiou S, Kim T, Baldrias L, Aguilar E, Kelly T, Tee M. One Health workers: innovations in early detection of human, animal, and plant disease outbreaks. Journal of Global Health Reports 2019;3 View
  4. Yavlinsky A, Lule S, Burns R, Zumla A, McHugh T, Ntoumi F, Masanja H, Mwakasungula S, Abubakar I, Aldridge R. Mobile-based and open-source case detection and infectious disease outbreak management systems: a review. Wellcome Open Research 2020;5:37 View
  5. Moulahoum H, Ghorbanizamani F, Zihnioglu F, Turhan K, Timur S. How should diagnostic kits development adapt quickly in COVID 19-like pandemic models? Pros and cons of sensory platforms used in COVID-19 sensing. Talanta 2021;222:121534 View
  6. Perscheid C, Benzler J, Hermann C, Janke M, Moyer D, Laedtke T, Adeoye O, Denecke K, Kirchner G, Beermann S, Schwarz N, Tom-Aba D, Krause G. Ebola Outbreak Containment: Real-Time Task and Resource Coordination With SORMAS. Frontiers in ICT 2018;5 View
  7. Mandala S, Cai Di T, Sunar M, Adiwijaya , Pappalardo F. ECG-based prediction algorithm for imminent malignant ventricular arrhythmias using decision tree. PLOS ONE 2020;15(5):e0231635 View
  8. da Silva P, dos Santos Fonseca Junior G, Ambrozio R, Tiburcio M, Machado G, de Carvalho S, de Oliveira E, de Almeida Silva Teixeira L, Jorge D. Development of a software for mobile devices designed to help with the management of individuals with neglected tropical diseases. Research on Biomedical Engineering 2020;36(4):527 View
  9. Zaror C, Espinoza-Espinoza G, Atala-Acevedo C, Muñoz-Millán P, Li Y, Clarke K, Onetto J, Díaz J, Hallet K, Manton D, Mariño R. Validation and usability of a mobile phone application for epidemiological surveillance of traumatic dental injuries. Dental Traumatology 2019;35(1):33 View
  10. George J, Häsler B, Mremi I, Sindato C, Mboera L, Rweyemamu M, Mlangwa J. A systematic review on integration mechanisms in human and animal health surveillance systems with a view to addressing global health security threats. One Health Outlook 2020;2(1) View
  11. S. P, Velan B, S. C, F.V. J, P. V, K. J. Mobile technologies for contact tracing and prevention of COVID-19 positive cases: a cross- sectional study. International Journal of Pervasive Computing and Communications 2020;ahead-of-print(ahead-of-print) View
  12. Ghodake G, Shinde S, Kadam A, Saratale R, Saratale G, Syed A, Elgorban A, Marraiki N, Kim D. Biological characteristics and biomarkers of novel SARS-CoV-2 facilitated rapid development and implementation of diagnostic tools and surveillance measures. Biosensors and Bioelectronics 2021;177:112969 View
  13. Zinsstag J, Utzinger J, Probst-Hensch N, Shan L, Zhou X. Towards integrated surveillance-response systems for the prevention of future pandemics. Infectious Diseases of Poverty 2020;9(1) View
  14. Griffith E, Pius L, Manzano P, Jost C. COVID-19 in pastoral contexts in the greater Horn of Africa: Implications and recommendations. Pastoralism 2020;10(1) View
  15. Sampath Kumar N, Chintagunta A, Jeevan Kumar S, Roy S, Kumar M. Immunotherapeutics for Covid-19 and post vaccination surveillance. 3 Biotech 2020;10(12) View
  16. Sindato C, Mboera L, Katale B, Frumence G, Kimera S, Clark T, Legido-Quigley H, Mshana S, Rweyemamu M, Matee M. Knowledge, attitudes and practices regarding antimicrobial use and resistance among communities of Ilala, Kilosa and Kibaha districts of Tanzania. Antimicrobial Resistance & Infection Control 2020;9(1) View
  17. Eftekhari A, Alipour M, Chodari L, Maleki Dizaj S, Ardalan M, Samiei M, Sharifi S, Zununi Vahed S, Huseynova I, Khalilov R, Ahmadian E, Cucchiarini M. A Comprehensive Review of Detection Methods for SARS-CoV-2. Microorganisms 2021;9(2):232 View
  18. Kimera Z, Frumence G, Mboera L, Rweyemamu M, Mshana S, Matee M. Assessment of Drivers of Antimicrobial Use and Resistance in Poultry and Domestic Pig Farming in the Msimbazi River Basin in Tanzania. Antibiotics 2020;9(12):838 View
  19. Zimmerling A, Chen X. Innovation and possible long-term impact driven by COVID-19: Manufacturing, personal protective equipment and digital technologies. Technology in Society 2021;65:101541 View
  20. Ahn E, Liu N, Parekh T, Patel R, Baldacchino T, Mullavey T, Robinson A, Kim J. A Mobile App and Dashboard for Early Detection of Infectious Disease Outbreaks: Development Study. JMIR Public Health and Surveillance 2021;7(3):e14837 View
  21. Dheyab M, Khaniabadi P, Aziz A, Jameel M, Mehrdel B, Oglat A, Khaleel H. Focused role of nanoparticles against COVID-19: Diagnosis and treatment. Photodiagnosis and Photodynamic Therapy 2021;34:102287 View
  22. George J, Häsler B, Komba E, Sindato C, Rweyemamu M, Mlangwa J. Towards an integrated animal health surveillance system in Tanzania: making better use of existing and potential data sources for early warning surveillance. BMC Veterinary Research 2021;17(1) View
  23. Samison L, Gaya R, Griene B, Nejmi M, Laatar A, Moreira C, Kouassi B, Serrie A. Les applications des appareils intelligents pourraient-elles être un outil éducatif approprié pour lutter contre la douleur en Afrique ?. Douleurs : Évaluation - Diagnostic - Traitement 2021;22(3):111 View
  24. Thomas L, Rushton J, Bukachi S, Falzon L, Howland O, Fèvre E. Cross-Sectoral Zoonotic Disease Surveillance in Western Kenya: Identifying Drivers and Barriers Within a Resource Constrained Setting. Frontiers in Veterinary Science 2021;8 View
  25. Rugarabamu S, Mwanyika G, Rumisha S, Sindato C, Lim H, Misinzo G, Mboera L. Seroprevalence and associated risk factors of selected zoonotic viral hemorrhagic fevers in Tanzania. International Journal of Infectious Diseases 2021;109:174 View

Books/Policy Documents

  1. Vayena E, Feretti A. Global Health. View
  2. Jori F, De Nys H, Faye B, Molia S. Diseases at the Wildlife - Livestock Interface. View