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移动应用程序(apps)在支持印度 2019 冠状病毒病应对方面的概述。

An overview of mobile applications (apps) to support the coronavirus disease 2019 response in India.

机构信息

The George Institute for Global Health, New Delhi, India.

出版信息

Indian J Med Res. 2020 May;151(5):468-473. doi: 10.4103/ijmr.IJMR_1200_20.


DOI:10.4103/ijmr.IJMR_1200_20
PMID:32474557
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7530460/
Abstract

BACKGROUND & OBJECTIVES: The potential benefits of mobile health (mHealth) initiatives to manage the coronavirus disease 2019 (COVID-19) pandemic have been explored. The Government of India, State governments, and healthcare organizations have developed various mobile apps for the containment of COVID-19. This study was aimed to systematically review COVID-19 related mobile apps and highlight gaps to inform the development of future mHealth initiatives. METHODS: Google Play and the Apple app stores were searched using the terms 'COVID-19', 'coronavirus', 'pandemic', and 'epidemic' in the first week of April 2020. A list of COVID-19-specific functions was compiled based on the review of the selected apps, the literature on epidemic surveillance, and national and international media reports. The World Health Organization guideline on Digital Health Interventions was used to classify the app functions under the categories of the general public, health workers, health system managers, and data services. RESULTS: The search yielded 346 potential COVID-19 apps, of which 50 met the inclusion criteria. Dissemination of untargeted COVID-19-related information on preventative strategies and monitoring the movements of quarantined individuals was the function of 27 (54%) and 19 (32%) apps, respectively. Eight (16%) apps had a contact tracing and hotspot identification function. INTERPRETATION & CONCLUSIONS: Our study highlights the current emphasis on the development of self-testing, quarantine monitoring, and contact tracing apps. India's response to COVID-19 can be strengthened by developing comprehensive mHealth solutions for frontline healthcare workers, rapid response teams and public health authorities. Among this unprecedented global health emergency, the Governments must ensure the necessary but least intrusive measures for disease surveillance.

摘要

背景与目的:移动医疗(mHealth)举措在应对 2019 年冠状病毒病(COVID-19)大流行方面的潜在益处已得到探索。印度政府、邦政府和医疗机构已为 COVID-19 疫情的防控开发了各种移动应用程序。本研究旨在系统审查与 COVID-19 相关的移动应用程序,并突出差距,为未来的 mHealth 举措提供信息。

方法:在 2020 年 4 月的第一周,使用“COVID-19”、“冠状病毒”、“大流行”和“传染病”等术语在 Google Play 和 Apple 应用商店中进行了搜索。根据选定应用程序的审查、传染病监测的文献以及国家和国际媒体报道,编制了一份 COVID-19 特定功能清单。根据世界卫生组织数字健康干预指南,将应用程序功能分为公众、卫生工作者、卫生系统管理者和数据服务四大类。

结果:搜索结果产生了 346 个潜在的 COVID-19 应用程序,其中 50 个符合纳入标准。分别有 27 个(54%)和 19 个(32%)应用程序传播了有关预防策略和监测隔离人员行踪的非针对性 COVID-19 相关信息。有 8 个(16%)应用程序具有接触者追踪和热点识别功能。

解释与结论:本研究强调了当前对自我检测、隔离监测和接触者追踪应用程序开发的重视。通过为一线医护人员、快速反应小组和公共卫生当局开发全面的 mHealth 解决方案,印度可以加强对 COVID-19 的应对。在这场前所未有的全球卫生紧急事件中,各国政府必须确保采取必要但对疾病监测影响最小的措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e7d/7530460/8d4216d631fb/IJMR-151-468-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e7d/7530460/86183e038d26/IJMR-151-468-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e7d/7530460/8d4216d631fb/IJMR-151-468-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e7d/7530460/86183e038d26/IJMR-151-468-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e7d/7530460/8d4216d631fb/IJMR-151-468-g002.jpg

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Indian J Med Res. 2020-5

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[3]
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[4]
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JMIR Public Health Surveill. 2024-5-24

[5]
Healthcare workers' perspectives on the availability and use of mobile health technologies for disease diagnosis and treatment support in the Ashanti Region of Ghana.

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[6]
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Healthcare (Basel). 2024-1-8

[7]
A Situational Analysis of the Impact of the COVID-19 Pandemic on Digital Health Research Initiatives in South Asia.

Cureus. 2023-11-17

[8]
Use of digital technologies for public health surveillance during the COVID-19 pandemic: A scoping review.

Digit Health. 2023-5-17

[9]
User Compliance With the Health Emergency and Disaster Management System: Systematic Literature Review.

J Med Internet Res. 2023-5-5

[10]
CovidBChain: Framework for access-control, authentication, and integrity of Covid-19 data.

Concurr Comput. 2022-12-25

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