Evaluation of the CoronApp Colombia Digital Surveillance System, Epidemiological Periods VII to X of 2020.

Authors

  • Franklyn Edwin Prieto Alvarado Instituto Nacional de Salud
  • Maritza Adegnis González Duarte Instituto Nacional de Salud
  • Catalina Arias Instituto Nacional de Salud
  • Giomar Sichacá Instituto Nacional de Salud
  • Paola Elena León Velasco Instituto Nacional de Salud
  • Claudia Marcella Huguett Aragón Instituto Nacional de Salud

DOI:

https://doi.org/10.33610/28059611.185

Keywords:

Public health surveillance, information technology, Covid-19, RT-PCR, SARS-CoV2

Abstract

Introduction. Evaluation of surveillance systems provides evidence for the usefulness of disease control information. Public health surveillance requires implementing alternatives that enable community participation. We had an interactive surveillance system that promotes population connectivity through information technologies in order to provide relevant data within the context of the COVID-19 pandemic. The objective of this study was to estimate the attributes of the digital surveillance system CoronApp Colombia, specifically its sensitivity and positive predictive value during Epidemiological Periods (EP) VII to X of 2020. Materials and methods. This study summarizes an evaluation of the digital surveillance system conducted as part of innovative surveillance strategies based on the evaluation attributes of the public health surveillance systems considered by CDC. The study population included cases registered in SisMuestras and CoronApp during EP VII to X of 2020 with RT-PCR or antigen laboratory confirmation for SARS-CoV-2. Results. During EP VII to X of 2020, 3 595 412 users were registered in CoronApp. According to the classification of cases in CoronApp and the results of RT-PCR and antigen tests, the CoronApp application demonstrated a sensitivity ranging from 97.1% to 98.6%. The highest sensitivity was observed in period VII. The positive predictive value during the study period was estimated between 35.3% and 42.5%. Conclusions. The estimated sensitivity during 2020 EP VII to X was higher than 95%, which can be considered optimal for a public health surveillance system.

References

CDC. Updated Guidelines for Evaluating Public Health Surveillance Systems Recommendations from the Guidelines Working Group. MMWR Recomm reports / Centers Dis Control. [Online].; 2001 [cited 2020 agosto 13]. Available from: http://www.cdc.gov/mmwr/preview/mmwrhtml/rr5013a1.htm

Instituto Nacional de Salud. Orientaciones para la Vigilancia en Salud Pública de la COVID-19. [Online]; 2020 [cited 2020 Octubre 10].

Instituto Nacional de Salud. Estrategia de vigilancia participativa mediante dispositivos móviles Guardianes de la Salud: visita del Papa Francisco a Colombia, septiembre de 2017, IQEN (22); 22,30 nov de 2017. [Online]. Available from: http://www.ins.gov.co/buscador-eventos/IQEN/IQEN%20vol%2022%202017%20num%2022.pdf

Ministerio de Tecnologías de la Información y las Comunicaciones de Colombia. Decreto 614 de 2020. [Online].; 2020 [cited 2021 febrero 23. Available from:https://dapre.presidencia.gov.co/normativa/normativa/DECRETO%20614%20DEL%2030%20DE%20ABRIL%20DE%202020.pdf

Presidencia de Colombia - CORONAPP. [Online]; 2020. Available from: https://coronaviruscolombia/

Agencia Nacional Digital. Ministerio de Tecnologías de la Información y las Comunicaciones. Así funciona CoronApp Colombia, aplicación para detectar y monitorear casos de covid-19 [Online].; 2020 [cited 2020 agosto 12]. Available from: https://www.mintic.gov.co/portal/inicio/Sala-de-Prensa/MinTIC-en-los-Medios/135648:Asi-funciona-CoronApp-Colombia-aplicacion-para-detectar-y-monitorear-casos-de-covid-19

Ministerio de Tecnologias de la información y las comunicaciones. Así funciona CoronAppPasos CoronApp. [Online].; 2020 [cited 2020 noviembre 23]. Available from: https://mintic.gov.co/portal/inicio/Sala-de-prensa/MinTIC-en-los-medios/135648:Asi-funciona-CoronApp-Colombia-aplicacion-para-detectar-y-monitorear-casos-de-covid-19

McCall B. COVID-19 and artificial intelligence: protecting health-care workers and curbing the spread. Lancet Digit Health; 2020 April. 2(4): p. 166, 167.

Centers for Disease Control and Prevention. MMWR. Recommendations and Reports. [Online].; 2012 [cited 2019 08 12. Available from:

http://www.cdc.gov/mmwr/preview/mmwrhtml/rr5013a1.htm

CDC. Updated Guidelines for Evaluating Public Health Surveillance Systems Recommendations from the Guidelines Working Group. MMWR Recomm reports / Centers Dis Control. [Online].; 2012 [cited 2020 agosto 13]. Available from: https://www.cdc.gov/mmwr/preview/mmwrhtml/rr5013a1.htm10

Ministerio de tecnologías de la información y las comunicaciones. Decreto 414 del 30 de abril de 2020. [Online].; 2020 [cited 2021 octubre 12]. Available from: https://pjg.com.co/wp-content/ uploads/2020/05/DECRETO-614-DEL-30-DE-ABRIL-DE-2020.pdf.

Instituto Nacional de Salud. Informe de monitoreo SisMuestras. [Online].; 2020 [cited 2020 diciembre 12. Available from: https://apps.ins.gov.co/sismuestras

Ministerio de Salud y Protección Social. Lineamientos para el uso de pruebas diagnósticas para SARS-CoV-2 en Colombia, julio de 2020. [Online].; 2020 [cited 2021 febrero 18. Available from: http://acin.org/images/guias/coronavirus/GIPS21_LINEAMIENTO_DE-PRUEBAS_22_07_2020.pdf

INS. Generalidades de pruebas serológicas para la detección de anticuerpos contra SARS-CoV-2. [Online].; 2020 [cited 2021 marzo 23]. Available from: https://www.laboratoriobolivar.com/mediateca/Documento-general-pruebas-serologicas%2013-06-2020.pdf

Raman R, Achuthan K, Vinuesa R, Nedungadi P.. COVIDTAS COVID-19 Tracing App Scale—An Evaluation Framework. Sustainability; 2021; 13.

Imran A, Posokhova I, Muhammad SR, Kamran A, et al.. AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough. Informatics in Medicine Unlocked; 2020.

J. Han et al. Exploring Automatic COVID-19 Diagnosis via Voice and Symptoms from Crowdsourced Data. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP); 2021 junio 6; 6: p. pp. 8328-8332.

Koo J R, Cook A, Park M, Sun Y, Sun H, Tao J. Tam C, Dickens B. Interventions to mitigate early spread of SARS-CoV-2 in Singapore: a modelling study. [Online] 2020 [cited 2021 marzo 23]. Available from: https://doi.org/10.1016/S1473-3099(20)30162-6

McCall B. COVID-19 and artificial intelligence: protecting health-care. [Online].; 2020 - ( 2). 4, pg 166-167. Available from: DOI: https://doi.org/10.1016/S2589-7500(20)30054-6

Ming L, Noorazrina U, Aliudin N, Norliza O, Nurolaini K, Ching S, et al. Mobile Health Apps on COVID-19 Launched in the Early Days of the Pandemic: Content Analysis and Review. [Online].; 2020 - JMIR MHEALTH AND UHEALTH. Available from: https://mhealth.jmir.org/2020/9/e19796/PDF

Budd, J., Miller, B.S., Manning, E.M. et al. Digital technologies in the public-health response to COVID-19. Nat Med 26, 1183–1192; 2020. https://doi.org/10.1038/s41591-020-1011-4

Secretaría de salud de Bogotá. Observatorio de Salud de Bogotá -SaluData. Covid 19 en Bogotá. [Online].; 2020 [cited 2024 septiembre 16]. Available from: https://saludata.saludcapital.gov.co/osb/indicadores/covid-19/

Instituto Nacional de Salud. Geovisores Covid 19. [Online].; 2021 [cited 2023 agosto 12]. Available from: https://www.ins.gov.co/Noticias/Paginas/Coronavirus.aspx

Hoyos J, León-Velasco P, Mantilla Meluk H, Reyes N, Franco E, Soler-Tovar D. Recomendación 5. Generación de un sistema integrado de gestión del riesgo (mitigación y adaptación basada en la naturaleza) en la triada: cambios antropogénicos–biodiversidad–salud. Acta Biológica colombiana. 2024; XXVI–Acta Biol Colomb, 29(3) Septiembre–Diciembre. 24. [Online] 2024 [cited 2024 diciembre 12]. Disponible en: https://revistas.unal.edu.co/index.php/actabiol/article/view/117024 https://doi.org/10.15446/abc.v29n3.117024

How to Cite

1.
Prieto Alvarado FE, González Duarte MA, Arias C, Sichacá G, León Velasco PE, Huguett Aragón CM. Evaluation of the CoronApp Colombia Digital Surveillance System, Epidemiological Periods VII to X of 2020. Rep. epidemiol. nac. [Internet]. 2025 Mar. 30 [cited 2026 Mar. 14];7(1):1-13. Available from: https://epidemiologiainsorg.biteca.online/index.php/ren/article/view/185

Downloads

Download data is not yet available.

Published

2025-03-30

Issue

Section

Artículos