Published on in Vol 6, No 2 (2020): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18795, first published .
A Case for Participatory Disease Surveillance of the COVID-19 Pandemic in India

A Case for Participatory Disease Surveillance of the COVID-19 Pandemic in India

A Case for Participatory Disease Surveillance of the COVID-19 Pandemic in India

Journals

  1. Wang S, Ding S, Xiong L. A New System for Surveillance and Digital Contact Tracing for COVID-19: Spatiotemporal Reporting Over Network and GPS. JMIR mHealth and uHealth 2020;8(6):e19457 View
  2. Chanda A. COVID-19 in India: transmission dynamics, epidemiological characteristics, testing, recovery and effect of weather. Epidemiology and Infection 2020;148 View
  3. Braithwaite I, Callender T, Bullock M, Aldridge R. Automated and partly automated contact tracing: a systematic review to inform the control of COVID-19. The Lancet Digital Health 2020;2(11):e607 View
  4. Leal-Neto O, Santos F, Lee J, Albuquerque J, Souza W. Prioritizing COVID-19 tests based on participatory surveillance and spatial scanning. International Journal of Medical Informatics 2020;143:104263 View
  5. Shrivastava S, Shrivastava P. Significance of surveillance in COVID-19 pandemic and adoption of innovative strategies for its strengthening. Matrix Science Medica 2020;4(4):134 View
  6. Masthi R, Jahan A, Bharathi D, Abhilash P, Kaniyarakkal V, TV S, Gowda G, TS R, Goud R, Rao S, Hegde A. Postcode based participatory disease surveillance systems : a comparison with traditional risk-based surveillance and its application in the COVID-19 pandemic (Preprint). JMIR Public Health and Surveillance 2020 View
  7. Banerjee D, Vajawat B, Varshney P, Rao T. Perceptions, Experiences, and Challenges of Physicians Involved in Dementia Care During the COVID-19 Lockdown in India: A Qualitative Study. Frontiers in Psychiatry 2021;11 View
  8. Lopreite M, Panzarasa P, Puliga M, Riccaboni M. Early warnings of COVID-19 outbreaks across Europe from social media. Scientific Reports 2021;11(1) View
  9. Nakamoto I, Jiang M, Zhang J, Zhuang W, Guo Y, Jin M, Huang Y, Tang K. Evaluation of the Design and Implementation of a Peer-To-Peer COVID-19 Contact Tracing Mobile App (COCOA) in Japan. JMIR mHealth and uHealth 2020;8(12):e22098 View
  10. Tayal P, Bharathi. S V. Reliability and trust perception of users on social media posts related to the ongoing COVID-19 pandemic. Journal of Human Behavior in the Social Environment 2021;31(1-4):325 View
  11. Franchini M, Pieroni S, Martini N, Ripoli A, Chiappino D, Denoth F, Liebman M, Molinaro S, Della Latta D. Shifting the Paradigm: The Dress-COV Telegram Bot as a Tool for Participatory Medicine. International Journal of Environmental Research and Public Health 2020;17(23):8786 View
  12. Runkle J, Sugg M, Graham G, Hodge B, March T, Mullendore J, Tove F, Salyers M, Valeika S, Vaughan E. Participatory COVID-19 Surveillance Tool in Rural Appalachia. Public Health Reports 2021;136(3):327 View
  13. Golinelli D, Boetto E, Carullo G, Nuzzolese A, Landini M, Fantini M. Adoption of Digital Technologies in Health Care During the COVID-19 Pandemic: Systematic Review of Early Scientific Literature. Journal of Medical Internet Research 2020;22(11):e22280 View
  14. BASU S. Effective Contact Tracing for COVID-19 Using Mobile Phones: An Ethical Analysis of the Mandatory Use of the Aarogya Setu Application in India. Cambridge Quarterly of Healthcare Ethics 2021;30(2):262 View
  15. Almalki M, Giannicchi A. Health Apps for Combating COVID-19: Descriptive Review and Taxonomy. JMIR mHealth and uHealth 2021;9(3):e24322 View
  16. Wu J, Leung K, Lam T, Ni M, Wong C, Peiris J, Leung G. Nowcasting epidemics of novel pathogens: lessons from COVID-19. Nature Medicine 2021;27(3):388 View
  17. ANGIN M, ANGIN P. COVID-19 Tracking Applications: A Human-Centric Analysis. European Journal of Science and Technology 2021 View
  18. Maccaro A, Piaggio D, Pagliara S, Pecchia L. The role of ethics in science: a systematic literature review from the first wave of COVID-19. Health and Technology 2021 View
  19. Lan L, Sun W, Xu D, Yu M, Xiao F, Hu H, Xu H, Wang X. Artificial intelligence-based approaches for COVID-19 patient management. Intelligent Medicine 2021;1(1):10 View
  20. Prado N, Biscarde D, Pinto Junior E, Santos H, Mota S, Menezes E, Oliveira J, Santos A. Ações de vigilância à saúde integradas à Atenção Primária à Saúde diante da pandemia da COVID-19: contribuições para o debate. Ciência & Saúde Coletiva 2021;26(7):2843 View
  21. Bava N, Sreekumar S, Mathew G, Sushan A, Sheeja A, Parvathy P. Strategies for COVID-19 control among migrant labourers in a developing country setting: Pathanamthitta model from Kerala. Journal of Family Medicine and Primary Care 2021;10(6):2342 View
  22. Soldano G, Fraire J, Finochietto J, Quiroga R. COVID-19 mitigation by digital contact tracing and contact prevention (app-based social exposure warnings). Scientific Reports 2021;11(1) View
  23. Roy D, Das M, Deshbandhu A. Postcolonial pandemic publics: examining social media health promotion in India during the COVID-19 crisis. Health Promotion International 2021 View

Books/Policy Documents

  1. Ashu , Mahajan R, Zafar S. Data Analytics and Management. View
  2. Ahmad S, Chitkara P, Khan F, Kishan A, Alok V, Ramlal A, Mehta S. Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis. View
  3. Verma A. Intelligent Data Analysis for COVID-19 Pandemic. View