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Conducting risk assessments and case detection in online environments in the scope of fight with COVID-19: A good practice example diabetes: A cross-sectional study
Turkey’s Corona Precaution Application, a web-based and mobile service, has been actively used by the citizens of the Republic of Turkey and foreigners coming to Turkey since March 19, 2020. This article examines the Corona Precaution Application in terms of its success in detecting risky and positi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Health Directorate of Istanbul
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9039637/ https://www.ncbi.nlm.nih.gov/pubmed/35582506 http://dx.doi.org/10.14744/nci.2022.92979 |
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author | Birinci, Suayip Ulgu, Mustafa Mahir Aydin, Sahin Ozcan, Eray |
author_facet | Birinci, Suayip Ulgu, Mustafa Mahir Aydin, Sahin Ozcan, Eray |
author_sort | Birinci, Suayip |
collection | PubMed |
description | Turkey’s Corona Precaution Application, a web-based and mobile service, has been actively used by the citizens of the Republic of Turkey and foreigners coming to Turkey since March 19, 2020. This article examines the Corona Precaution Application in terms of its success in detecting risky and positive cases among users. In this informative process analysis study, which is conducted in the lights of Ministry of Health of Turkey data, the efficiency of Corona Precaution Application in March 2020-August 2020 has been measured through the usage statistics from specific provinces and the effect of the application has been proved. The application was used by a total of 2.159.903 people on mobile and web platforms and risk assessments were made. As a result, 135.277 people who were scored as high risk were referred to health-care facilities, and 12.067 people were hospitalized with a positive diagnosis of COVID-19 in PCR tests or isolated at home. When evaluated cumulatively, Corona Precaution Application is used as an effective tool of the health system in the fight against COVID-19. 12.067 people were found to be positive with the referrals to the healthcare facility made through the application; thus, it has been one of the most effective tools in controlling the spread of the disease. |
format | Online Article Text |
id | pubmed-9039637 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Health Directorate of Istanbul |
record_format | MEDLINE/PubMed |
spelling | pubmed-90396372022-05-16 Conducting risk assessments and case detection in online environments in the scope of fight with COVID-19: A good practice example diabetes: A cross-sectional study Birinci, Suayip Ulgu, Mustafa Mahir Aydin, Sahin Ozcan, Eray North Clin Istanb Review Turkey’s Corona Precaution Application, a web-based and mobile service, has been actively used by the citizens of the Republic of Turkey and foreigners coming to Turkey since March 19, 2020. This article examines the Corona Precaution Application in terms of its success in detecting risky and positive cases among users. In this informative process analysis study, which is conducted in the lights of Ministry of Health of Turkey data, the efficiency of Corona Precaution Application in March 2020-August 2020 has been measured through the usage statistics from specific provinces and the effect of the application has been proved. The application was used by a total of 2.159.903 people on mobile and web platforms and risk assessments were made. As a result, 135.277 people who were scored as high risk were referred to health-care facilities, and 12.067 people were hospitalized with a positive diagnosis of COVID-19 in PCR tests or isolated at home. When evaluated cumulatively, Corona Precaution Application is used as an effective tool of the health system in the fight against COVID-19. 12.067 people were found to be positive with the referrals to the healthcare facility made through the application; thus, it has been one of the most effective tools in controlling the spread of the disease. Health Directorate of Istanbul 2022-04-18 /pmc/articles/PMC9039637/ /pubmed/35582506 http://dx.doi.org/10.14744/nci.2022.92979 Text en Copyright © 2022 by Istanbul Provincial Directorate of Health - Available online at www.northclinist.com https://creativecommons.org/licenses/by/3.0/This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. |
spellingShingle | Review Birinci, Suayip Ulgu, Mustafa Mahir Aydin, Sahin Ozcan, Eray Conducting risk assessments and case detection in online environments in the scope of fight with COVID-19: A good practice example diabetes: A cross-sectional study |
title | Conducting risk assessments and case detection in online environments in the scope of fight with COVID-19: A good practice example diabetes: A cross-sectional study |
title_full | Conducting risk assessments and case detection in online environments in the scope of fight with COVID-19: A good practice example diabetes: A cross-sectional study |
title_fullStr | Conducting risk assessments and case detection in online environments in the scope of fight with COVID-19: A good practice example diabetes: A cross-sectional study |
title_full_unstemmed | Conducting risk assessments and case detection in online environments in the scope of fight with COVID-19: A good practice example diabetes: A cross-sectional study |
title_short | Conducting risk assessments and case detection in online environments in the scope of fight with COVID-19: A good practice example diabetes: A cross-sectional study |
title_sort | conducting risk assessments and case detection in online environments in the scope of fight with covid-19: a good practice example diabetes: a cross-sectional study |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9039637/ https://www.ncbi.nlm.nih.gov/pubmed/35582506 http://dx.doi.org/10.14744/nci.2022.92979 |
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