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印度新冠疫情的决定因素:对印度各邦和地区的探索性研究

Determinants of COVID-19 pandemic in India: an exploratory study of Indian states and districts.

作者信息

Pandey Arvind, Prakash Aseem, Agur Rajeev, Maruvada Ganesh

机构信息

School of Public Policy and Governance, Tata Institute of Social Sciences, Hyderabad, India.

Independent Public Policy Researcher, Hyderabad, India.

出版信息

J Soc Econ Dev. 2021;23(Suppl 2):248-279. doi: 10.1007/s40847-021-00154-0. Epub 2021 May 7.

Abstract

The countries across the globe are facing one of the worst infectious diseases in modern times in the form of COVID-19 pandemic. Different measures have been taken to control and manage the outbreak of COVID-19 in these countries. There are two propositions in context of effective control and management of a pandemic like COVID-19. First, a strong and effective public health care system is essential for managing the public health crisis and the uneven responses to COVID-19 are mainly because of inadequate health infrastructure. Second, the spread of COVID-19 depends on the interplay of other social determinants at local level, and therefore, addressing the gaps in social determinants of COVID-19 at local level is critical to control and manage this pandemic. The present paper attempts to examine these two propositions in Indian context at states and districts level, respectively. Using the cross-sectional data and constructing composite indices of COVID-19 intensity and level of health infrastructure at state level, the results show that there is no robust relationship between level of health infrastructure and management of COVID-19 at state level as the states with better health infrastructure are also struggling to combat against COVID-19. The district-level analysis indicates a significant relationship between concentration of COVID-19 and social determinants as majority of the districts with higher concentration of COVID-19 are those which have social determinants below national average.

摘要

全球各国都面临着现代以来最严重的传染病之一,即新冠疫情。这些国家已采取不同措施来控制和管理新冠疫情的爆发。在有效控制和管理像新冠疫情这样的大流行方面存在两个观点。第一,强大且有效的公共卫生保健系统对于应对公共卫生危机至关重要,而对新冠疫情的应对不均衡主要是由于卫生基础设施不足。第二,新冠疫情的传播取决于地方层面其他社会决定因素的相互作用,因此,在地方层面解决新冠疫情社会决定因素方面的差距对于控制和管理这一疫情至关重要。本文试图分别在印度的邦和地区层面审视这两个观点。利用横断面数据并构建邦层面新冠疫情强度和卫生基础设施水平的综合指数,结果表明,邦层面的卫生基础设施水平与新冠疫情管理之间不存在稳健的关系,因为卫生基础设施较好的邦也在努力抗击新冠疫情。地区层面的分析表明,新冠疫情的集中程度与社会决定因素之间存在显著关系,因为新冠疫情集中程度较高的大多数地区,其社会决定因素低于全国平均水平。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f513/8104459/80f0d0b9a6f8/40847_2021_154_Fig1_HTML.jpg

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