School of Transportation Management, Jiangxi Vocational and Technical College of Communications, Nanchang, Jiangxi, China.
School of Software, Jiangxi Normal University, Nanchang, Jiangxi, China.
Front Public Health. 2024 Jul 30;12:1344306. doi: 10.3389/fpubh.2024.1344306. eCollection 2024.
The global population influx during the COVID-19 pandemic poses significant challenges to public health, making the prevention and control of infectious diseases a pressing concern. This paper aims to examine the impact of population influx on the spread of infectious diseases, with a specific emphasis on the mediating role of air pollution in this process. A theoretical analysis is conducted to explore the relationship between population influx, air pollution, and infectious diseases. Additionally, we establish a series of econometric models and employ various empirical tests and analytical techniques, including mediation effect test, threshold effect test, and systematic GMM test, to evaluate our hypotheses. The results indicate that: (1) Population influx directly and indirectly impacts infectious diseases. Specifically, population influx not only directly elevates the risk of infectious diseases, but also indirectly increases the incidence rate of infectious diseases by intensifying air pollution. (2) The impact of population inflow on infectious diseases exhibits regional heterogeneity. Compared to central and western China, the eastern regions exhibit a significantly higher risk of infectious diseases, exceeding the national average. (3) External factors influence the relationship between population influx and infectious diseases differently. Personal income and medical resources both help mitigate the risk of infectious diseases due to population influx, with medical resources having a more substantial effect. Contrary to expectations, abundant educational resources have not reduced the risk, instead, they have exacerbated the risk associated with population influx. This paper provides a scientific basis for formulating effective strategies for the prevention and control of infectious diseases.
在 COVID-19 大流行期间,全球人口涌入给公共卫生带来了重大挑战,使传染病的预防和控制成为当务之急。本文旨在探讨人口涌入对传染病传播的影响,特别关注空气污染在这一过程中的中介作用。通过理论分析,探讨了人口涌入、空气污染与传染病之间的关系。此外,我们建立了一系列计量经济学模型,并运用各种实证检验和分析技术,包括中介效应检验、门槛效应检验和系统 GMM 检验,以验证我们的假设。结果表明:(1)人口涌入直接和间接地影响传染病。具体而言,人口涌入不仅直接增加了传染病的风险,还通过加剧空气污染间接增加了传染病的发病率。(2)人口流入对传染病的影响存在区域异质性。与中西部相比,东部地区传染病的风险更高,超过了全国平均水平。(3)外部因素对人口流入与传染病之间的关系的影响不同。个人收入和医疗资源都有助于降低因人口涌入而导致的传染病风险,其中医疗资源的影响更为显著。与预期相反,丰富的教育资源并没有降低风险,反而加剧了人口涌入带来的风险。本文为制定传染病预防和控制的有效策略提供了科学依据。