Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Birinci, Suayip, Ulgu, Mustafa Mahir, Aydin, Sahin, Ozcan, Eray
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Health Directorate of Istanbul 2022
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
_version_ 1784694171342209024
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
work_keys_str_mv AT birincisuayip conductingriskassessmentsandcasedetectioninonlineenvironmentsinthescopeoffightwithcovid19agoodpracticeexamplediabetesacrosssectionalstudy
AT ulgumustafamahir conductingriskassessmentsandcasedetectioninonlineenvironmentsinthescopeoffightwithcovid19agoodpracticeexamplediabetesacrosssectionalstudy
AT aydinsahin conductingriskassessmentsandcasedetectioninonlineenvironmentsinthescopeoffightwithcovid19agoodpracticeexamplediabetesacrosssectionalstudy
AT ozcaneray conductingriskassessmentsandcasedetectioninonlineenvironmentsinthescopeoffightwithcovid19agoodpracticeexamplediabetesacrosssectionalstudy