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Citing this Article

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Published on 14.11.17 in Vol 3, No 4 (2017): Oct-Dec

This paper is in the following e-collection/theme issue:

Works citing "Will Participatory Syndromic Surveillance Work in Latin America? Piloting a Mobile Approach to Crowdsource Influenza-Like Illness Data in Guatemala"

José Tomás Prieto, Jorge H Jara, Juan Pablo Alvis, Luis R Furlan, Christian Travis Murray, Judith Garcia, Pierre-Jean Benghozi, Susan Cornelia Kaydos-Daniels

JMIR Public Health Surveill 2017 (Nov 14); 3(4):e87 

According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.8610):

(note that this is only a small subset of citations)

  1. Créquit P, Mansouri G, Benchoufi M, Vivot A, Ravaud P. Mapping of Crowdsourcing in Health: Systematic Review. Journal of Medical Internet Research 2018;20(5):e187
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  2. Stewart RJ, Rossow J, Eckel S, Bidol S, Ballew G, Signs K, Conover JT, Burns E, Bresee JS, Fry AM, Olsen SJ, Biggerstaff M. Text-Based Illness Monitoring for Detection of Novel Influenza A Virus Infections During an Influenza A (H3N2)v Virus Outbreak in Michigan, 2016: Surveillance and Survey. JMIR Public Health and Surveillance 2019;5(2):e10842
    CrossRef
  3. . Epidemiologic surveillance for controlling Covid-19 pandemic: types, challenges and implications. Journal of Infection and Public Health 2020;13(11):1630
    CrossRef
  4. Eze E, Gleasure R, Heavin C. Mobile health solutions in developing countries: a stakeholder perspective. Health Systems 2020;9(3):179
    CrossRef
  5. Wirth FN, Johns M, Meurers T, Prasser F. Citizen-Centered Mobile Health Apps Collecting Individual-Level Spatial Data for Infectious Disease Management: Scoping Review. JMIR mHealth and uHealth 2020;8(11):e22594
    CrossRef
  6. Katayama Y, Kiyohara K, Hirose T, Ishida K, Tachino J, Nakao S, Noda T, Ojima M, Kiguchi T, Matsuyama T, Kitamura T. An Association of Influenza Epidemics in Children With Mobile App Data: Population-Based Observational Study in Osaka, Japan. JMIR Formative Research 2022;6(2):e31131
    CrossRef
  7. Karageorgos G, Andreadis I, Psychas K, Mourkousis G, Kiourti A, Lazzi G, Nikita KS. The Promise of Mobile Technologies for the Health Care System in the Developing World: A Systematic Review. IEEE Reviews in Biomedical Engineering 2019;12:100
    CrossRef
  8. Atkins N, Harikar M, Duggan K, Zawiejska A, Vardhan V, Vokey L, Dozier M, de los Godos EF, Mcswiggan E, Mcquillan R, Theodoratou E, Shi T. What are the characteristics of participatory surveillance systems for influenza-like-illness?. Journal of Global Health 2023;13
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  9. Leal Neto O, Paolotti D, Dalton C, Carlson S, Susumpow P, Parker M, Phetra P, Lau EHY, Colizza V, Jan van Hoek A, Kjelsø C, Brownstein JS, Smolinski MS. Enabling Multicentric Participatory Disease Surveillance for Global Health Enhancement: Viewpoint on Global Flu View. JMIR Public Health and Surveillance 2023;9:e46644
    CrossRef
  10. Solis Pino AF, Ruiz PH, Agredo-Delgado V, Mon A, Collazos CA. Bibliometric Analysis of the Research Landscape in Human-Computer Interaction in Ibero-America. TecnoLógicas 2024;27(59):e2907
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  11. Rocha HAL, Solha EZM, Furtado V, Justino FL, Barreto LAL, da Silva RG, de Oliveira M, Bates DW, de Góes Cavalcanti LP, Lima Neto AS, de Oliveira EA. COVID-19 outbreaks surveillance through text mining applied to electronic health records. BMC Infectious Diseases 2024;24(1)
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/publichealth.8610):

  1. . Les impacts durables de la crise sur le management. 2021. :253
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