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印度政府控制 COVID-19 政策的有效性。

Effectiveness of Government Policies in Controlling COVID-19 in India.

机构信息

Institute of Commerce, Nirma University, Ahmedabad, India.

出版信息

Int J Health Serv. 2022 Jan;52(1):30-37. doi: 10.1177/0020731420983749. Epub 2020 Dec 29.

Abstract

The purpose of this study is to find the demographic factors associated with the spread of COVID-19 and to suggest a measure for identifying the effectiveness of government policies in controlling COVID-19. The study hypothesizes that the cumulative number of confirmed COVID-19 patients depends on the urban population, rural population, number of persons older than 50, population density, and poverty rate. A log-linear model is used to test the stated hypothesis, with the cumulative number of confirmed COVID-19 patients up to period as a dependent variable and demographic factors as an independent variable. The policy effectiveness indicator is calculated by taking the difference of the COVID rank of the th state based on the predicted model and the actual COVID rank of the th stateOur study finds that the urban population significantly impacts the spread of COVID-19. On the other hand, demographic factors such as rural population, density, and age structure do not impact the spread of COVID-19 significantly. Thus, people residing in urban areas face a significant threat of COVID-19 as compared to people in rural areas.

摘要

本研究旨在寻找与 COVID-19 传播相关的人口统计学因素,并提出一种评估政府政策控制 COVID-19 效果的方法。研究假设累计确诊 COVID-19 患者数量取决于城市人口、农村人口、50 岁以上人口数量、人口密度和贫困率。本研究使用对数线性模型检验假设,将累计确诊 COVID-19 患者数量作为因变量,人口统计学因素作为自变量。政策有效性指标通过计算基于预测模型的第 th 个州的 COVID 排名与第 th 个州的实际 COVID 排名之间的差值得出。本研究发现城市人口对 COVID-19 的传播有显著影响。另一方面,农村人口、密度和年龄结构等人口统计学因素对 COVID-19 的传播没有显著影响。因此,与农村地区的人相比,城市地区的人面临着更大的 COVID-19 威胁。

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