The application framework of big data technology in the COVID-19 epidemic emergency management in local government—a case study of Hainan Province, China
Abstract Background As COVID-19 continues to spread globally, traditional emergency management measures are facing many practical limitations. The application of big data analysis technology provides an opportunity for local governments to conduct the COVID-19 epidemic emergency management more scie...
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oai:doaj.org-article:54defa77c7cf433d858d8fc7d086768e2021-11-08T10:43:34ZThe application framework of big data technology in the COVID-19 epidemic emergency management in local government—a case study of Hainan Province, China10.1186/s12889-021-12065-01471-2458https://doaj.org/article/54defa77c7cf433d858d8fc7d086768e2021-11-01T00:00:00Zhttps://doi.org/10.1186/s12889-021-12065-0https://doaj.org/toc/1471-2458Abstract Background As COVID-19 continues to spread globally, traditional emergency management measures are facing many practical limitations. The application of big data analysis technology provides an opportunity for local governments to conduct the COVID-19 epidemic emergency management more scientifically. The present study, based on emergency management lifecycle theory, includes a comprehensive analysis of the application framework of China’s SARS epidemic emergency management lacked the support of big data technology in 2003. In contrast, this study first proposes a more agile and efficient application framework, supported by big data technology, for the COVID-19 epidemic emergency management and then analyses the differences between the two frameworks. Methods This study takes Hainan Province, China as its case study by using a file content analysis and semistructured interviews to systematically comprehend the strategy and mechanism of Hainan’s application of big data technology in its COVID-19 epidemic emergency management. Results Hainan Province adopted big data technology during the four stages, i.e., migration, preparedness, response, and recovery, of its COVID-19 epidemic emergency management. Hainan Province developed advanced big data management mechanisms and technologies for practical epidemic emergency management, thereby verifying the feasibility and value of the big data technology application framework we propose. Conclusions This study provides empirical evidence for certain aspects of the theory, mechanism, and technology for local governments in different countries and regions to apply, in a precise, agile, and evidence-based manner, big data technology in their formulations of comprehensive COVID-19 epidemic emergency management strategies.Zijun MaoQi ZouHong YaoJingyi WuBMCarticleCOVID-19Emergency managementBig data technologyApplication frameworkLocal governmentHainan ProvincePublic aspects of medicineRA1-1270ENBMC Public Health, Vol 21, Iss 1, Pp 1-19 (2021) |
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COVID-19 Emergency management Big data technology Application framework Local government Hainan Province Public aspects of medicine RA1-1270 |
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COVID-19 Emergency management Big data technology Application framework Local government Hainan Province Public aspects of medicine RA1-1270 Zijun Mao Qi Zou Hong Yao Jingyi Wu The application framework of big data technology in the COVID-19 epidemic emergency management in local government—a case study of Hainan Province, China |
description |
Abstract Background As COVID-19 continues to spread globally, traditional emergency management measures are facing many practical limitations. The application of big data analysis technology provides an opportunity for local governments to conduct the COVID-19 epidemic emergency management more scientifically. The present study, based on emergency management lifecycle theory, includes a comprehensive analysis of the application framework of China’s SARS epidemic emergency management lacked the support of big data technology in 2003. In contrast, this study first proposes a more agile and efficient application framework, supported by big data technology, for the COVID-19 epidemic emergency management and then analyses the differences between the two frameworks. Methods This study takes Hainan Province, China as its case study by using a file content analysis and semistructured interviews to systematically comprehend the strategy and mechanism of Hainan’s application of big data technology in its COVID-19 epidemic emergency management. Results Hainan Province adopted big data technology during the four stages, i.e., migration, preparedness, response, and recovery, of its COVID-19 epidemic emergency management. Hainan Province developed advanced big data management mechanisms and technologies for practical epidemic emergency management, thereby verifying the feasibility and value of the big data technology application framework we propose. Conclusions This study provides empirical evidence for certain aspects of the theory, mechanism, and technology for local governments in different countries and regions to apply, in a precise, agile, and evidence-based manner, big data technology in their formulations of comprehensive COVID-19 epidemic emergency management strategies. |
format |
article |
author |
Zijun Mao Qi Zou Hong Yao Jingyi Wu |
author_facet |
Zijun Mao Qi Zou Hong Yao Jingyi Wu |
author_sort |
Zijun Mao |
title |
The application framework of big data technology in the COVID-19 epidemic emergency management in local government—a case study of Hainan Province, China |
title_short |
The application framework of big data technology in the COVID-19 epidemic emergency management in local government—a case study of Hainan Province, China |
title_full |
The application framework of big data technology in the COVID-19 epidemic emergency management in local government—a case study of Hainan Province, China |
title_fullStr |
The application framework of big data technology in the COVID-19 epidemic emergency management in local government—a case study of Hainan Province, China |
title_full_unstemmed |
The application framework of big data technology in the COVID-19 epidemic emergency management in local government—a case study of Hainan Province, China |
title_sort |
application framework of big data technology in the covid-19 epidemic emergency management in local government—a case study of hainan province, china |
publisher |
BMC |
publishDate |
2021 |
url |
https://doaj.org/article/54defa77c7cf433d858d8fc7d086768e |
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