Literature DB >> 27742060

Identification of weather variables sensitive to dysentery in disease-affected county of China.

Jianing Liu1, Xiaoxu Wu2, Chenlu Li1, Bing Xu3, Luojia Hu1, Jin Chen4, Shuang Dai5.   

Abstract

Climate change mainly refers to long-term change in weather variables, and it has significant impact on sustainability and spread of infectious diseases. Among three leading infectious diseases in China, dysentery is exclusively sensitive to climate change. Previous researches on weather variables and dysentery mainly focus on determining correlation between dysentery incidence and weather variables. However, the contribution of each variable to dysentery incidence has been rarely clarified. Therefore, we chose a typical county in epidemic of dysentery as the study area. Based on data of dysentery incidence, weather variables (monthly mean temperature, precipitation, wind speed, relative humidity, absolute humidity, maximum temperature, and minimum temperature) and lagged analysis, we used principal component analysis (PCA) and classification and regression trees (CART) to examine the relationships between the incidence of dysentery and weather variables. Principal component analysis showed that temperature, precipitation, and humidity played a key role in determining transmission of dysentery. We further selected weather variables including minimum temperature, precipitation, and relative humidity based on results of PCA, and used CART to clarify contributions of these three weather variables to dysentery incidence. We found when minimum temperature was at a high level, the high incidence of dysentery occurred if relative humidity or precipitation was at a high level. We compared our results with other studies on dysentery incidence and meteorological factors in areas both in China and abroad, and good agreement has been achieved. Yet, some differences remain for three reasons: not identifying all key weather variables, climate condition difference caused by local factors, and human factors that also affect dysentery incidence. This study hopes to shed light on potential early warnings for dysentery transmission as climate change occurs, and provide a theoretical basis for the control and prevention of dysentery.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  CART; Correlation; Dysentery; PCA; Weather variable

Mesh:

Year:  2016        PMID: 27742060     DOI: 10.1016/j.scitotenv.2016.09.153

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  5 in total

1.  Effects of daily mean temperature and other meteorological variables on bacillary dysentery in Beijing-Tianjin-Hebei region, China.

Authors:  Qinxue Chang; Keyun Wang; Honglu Zhang; Changping Li; Yong Wang; Huaiqi Jing; Shanshan Li; Yuming Guo; Zhuang Cui; Wenyi Zhang
Journal:  Environ Health Prev Med       Date:  2022       Impact factor: 4.395

2.  Spatial-temporal detection of risk factors for bacillary dysentery in Beijing, Tianjin and Hebei, China.

Authors:  Chengdong Xu; Yuanyuan Li; Jinfeng Wang; Gexin Xiao
Journal:  BMC Public Health       Date:  2017-09-25       Impact factor: 3.295

Review 3.  [Climate-sensitive diseases in Brazil and the world: systematic reviewEnfermedades sensibles al clima en Brasil y el mundo: revisión sistemática].

Authors:  Tatiane Cristina Moraes de Sousa; Flavia Amancio; Sandra de Sousa Hacon; Christovam Barcellos
Journal:  Rev Panam Salud Publica       Date:  2018-07-20

4.  Epidemiologic features of shigellosis and associated climatic factors in Taiwan.

Authors:  Chian-Ching Chen; Chuan-Yao Lin; Kow-Tong Chen
Journal:  Medicine (Baltimore)       Date:  2019-08       Impact factor: 1.817

5.  Epidemiology of infectious diarrhoea and the relationship with etiological and meteorological factors in Jiangsu Province, China.

Authors:  Xinyu Fang; Jing Ai; Wendong Liu; Hong Ji; Xuefeng Zhang; Zhihang Peng; Ying Wu; Yingying Shi; Wenqi Shen; Changjun Bao
Journal:  Sci Rep       Date:  2019-12-20       Impact factor: 4.379

  5 in total

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