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Tracking the effects of COVID-19 in rural China over time

BACKGROUND: China issued strict nationwide guidelines to combat the COVID-19 outbreak in January 2020 and gradually loosened the restrictions on movement in early March. Little is known about how these disease control measures affected the 600 million people who live in rural China. The goal of this...

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Autores principales: Wang, Huan, Zhang, Markus, Li, Robin, Zhong, Oliver, Johnstone, Hannah, Zhou, Huan, Xue, Hao, Sylvia, Sean, Boswell, Matthew, Loyalka, Prashant, Rozelle, Scott
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807215/
https://www.ncbi.nlm.nih.gov/pubmed/33446205
http://dx.doi.org/10.1186/s12939-020-01369-z
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author Wang, Huan
Zhang, Markus
Li, Robin
Zhong, Oliver
Johnstone, Hannah
Zhou, Huan
Xue, Hao
Sylvia, Sean
Boswell, Matthew
Loyalka, Prashant
Rozelle, Scott
author_facet Wang, Huan
Zhang, Markus
Li, Robin
Zhong, Oliver
Johnstone, Hannah
Zhou, Huan
Xue, Hao
Sylvia, Sean
Boswell, Matthew
Loyalka, Prashant
Rozelle, Scott
author_sort Wang, Huan
collection PubMed
description BACKGROUND: China issued strict nationwide guidelines to combat the COVID-19 outbreak in January 2020 and gradually loosened the restrictions on movement in early March. Little is known about how these disease control measures affected the 600 million people who live in rural China. The goal of this paper is to document the quarantine measures implemented in rural China outside the epicenter of Hubei Province and to assess the socioeconomic effect of the measures on rural communities over time. METHODS: We conducted three rounds of interviews with informants from 726 villages in seven provinces, accounting for over 25% of China’s overall rural population. The survey collected data on rural quarantine implementation; COVID-19 infections and deaths in the survey villages; and effects of the quarantine on employment, income, education, health care, and government policies to address any negative impacts. The empirical findings of the work established that strict quarantine measures were implemented in rural villages throughout China in February. RESULTS: There was little spread of COVID-19 in rural communities: an infection rate of 0.001% and zero deaths reported in our sample. However, there were negative social and economic outcomes, including high rates of unemployment, falling household income, rising prices, and disrupted student learning. Health care was generally accessible, but many delayed their non-COVID-19 health care due to the quarantine measures. Only 20% of villagers received any form of local government aid, and only 11% of villages received financial subsidies. There were no reports of national government aid programs that targeted rural villagers in the sample areas. CONCLUSIONS: By examining the economic and social effects of the COVID-19 restrictions in rural communities, this study will help to guide other middle- and low-income countries in their containment and restorative processes. Without consideration for economically vulnerable populations, economic hardships and poverty will likely continue to have a negative impact on the most susceptible communities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-020-01369-z.
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spelling pubmed-78072152021-01-14 Tracking the effects of COVID-19 in rural China over time Wang, Huan Zhang, Markus Li, Robin Zhong, Oliver Johnstone, Hannah Zhou, Huan Xue, Hao Sylvia, Sean Boswell, Matthew Loyalka, Prashant Rozelle, Scott Int J Equity Health Research BACKGROUND: China issued strict nationwide guidelines to combat the COVID-19 outbreak in January 2020 and gradually loosened the restrictions on movement in early March. Little is known about how these disease control measures affected the 600 million people who live in rural China. The goal of this paper is to document the quarantine measures implemented in rural China outside the epicenter of Hubei Province and to assess the socioeconomic effect of the measures on rural communities over time. METHODS: We conducted three rounds of interviews with informants from 726 villages in seven provinces, accounting for over 25% of China’s overall rural population. The survey collected data on rural quarantine implementation; COVID-19 infections and deaths in the survey villages; and effects of the quarantine on employment, income, education, health care, and government policies to address any negative impacts. The empirical findings of the work established that strict quarantine measures were implemented in rural villages throughout China in February. RESULTS: There was little spread of COVID-19 in rural communities: an infection rate of 0.001% and zero deaths reported in our sample. However, there were negative social and economic outcomes, including high rates of unemployment, falling household income, rising prices, and disrupted student learning. Health care was generally accessible, but many delayed their non-COVID-19 health care due to the quarantine measures. Only 20% of villagers received any form of local government aid, and only 11% of villages received financial subsidies. There were no reports of national government aid programs that targeted rural villagers in the sample areas. CONCLUSIONS: By examining the economic and social effects of the COVID-19 restrictions in rural communities, this study will help to guide other middle- and low-income countries in their containment and restorative processes. Without consideration for economically vulnerable populations, economic hardships and poverty will likely continue to have a negative impact on the most susceptible communities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-020-01369-z. BioMed Central 2021-01-14 /pmc/articles/PMC7807215/ /pubmed/33446205 http://dx.doi.org/10.1186/s12939-020-01369-z Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wang, Huan
Zhang, Markus
Li, Robin
Zhong, Oliver
Johnstone, Hannah
Zhou, Huan
Xue, Hao
Sylvia, Sean
Boswell, Matthew
Loyalka, Prashant
Rozelle, Scott
Tracking the effects of COVID-19 in rural China over time
title Tracking the effects of COVID-19 in rural China over time
title_full Tracking the effects of COVID-19 in rural China over time
title_fullStr Tracking the effects of COVID-19 in rural China over time
title_full_unstemmed Tracking the effects of COVID-19 in rural China over time
title_short Tracking the effects of COVID-19 in rural China over time
title_sort tracking the effects of covid-19 in rural china over time
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807215/
https://www.ncbi.nlm.nih.gov/pubmed/33446205
http://dx.doi.org/10.1186/s12939-020-01369-z
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