Literature DB >> 25989000

Epidemics in Ming and Qing China: Impacts of changes of climate and economic well-being.

Qing Pei1, David D Zhang2, Guodong Li3, Bruce Winterhalder4, Harry F Lee2.   

Abstract

We investigated the mechanism of epidemics with the impacts of climate change and socio-economic fluctuations in the Ming and Qing Dynasties in China (AD 1368-1901). Using long-term and high-quality datasets, this study is the first quantitative research that verifies the 'climate change → economy → epidemics' mechanism in historical China by statistical methods that include correlation analysis, Granger causality analysis, ARX, and Poisson-ARX modeling. The analysis provides the evidences that climate change could only fundamentally lead to the epidemics spread and occurrence, but the depressed economic well-being is the direct trigger of epidemics spread and occurrence at the national and long term scale in historical China. Moreover, statistical modeling shows that economic well-being is more important than population pressure in the mechanism of epidemics. However, population pressure remains a key element in determining the social vulnerability of the epidemics occurrence under climate change. Notably, the findings not only support adaptation theories but also enhance our confidence to address climatic shocks if economic buffering capacity can be promoted steadily. The findings can be a basis for scientists and policymakers in addressing global and regional environmental changes.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Climate change; Economic well-being; Epidemics; Ming and Qing China; Population pressure

Mesh:

Year:  2015        PMID: 25989000     DOI: 10.1016/j.socscimed.2015.05.010

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  1 in total

1.  Pre-industrial plague transmission is mediated by the synergistic effect of temperature and aridity index.

Authors:  Ricci P H Yue; Harry F Lee
Journal:  BMC Infect Dis       Date:  2018-03-20       Impact factor: 3.090

  1 in total

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