title: Identification of weather variables sensitive to dysentery in disease-affected county of China.
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.
authors.affiliation: State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China.
authors.forename: Jianing
authors.initials: J
authors.lastname: Liu
authors.affiliation: State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China. Electronic address: wuxx@bnu.edu.cn.
authors.forename: Xiaoxu
authors.initials: X
authors.lastname: Wu
authors.affiliation: State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China.
authors.forename: Chenlu
authors.initials: C
authors.lastname: Li
authors.affiliation: State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China; Center for Earth System Sciences, Tsinghua University, Beijing 100084, China.
authors.forename: Bing
authors.initials: B
authors.lastname: Xu
authors.affiliation: State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China.
authors.forename: Luojia
authors.initials: L
authors.lastname: Hu
authors.affiliation: State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China.
authors.forename: Jin
authors.initials: J
authors.lastname: Chen
authors.affiliation: Center for Earth System Sciences, Tsinghua University, Beijing 100084, China.
authors.forename: Shuang
authors.initials: S
authors.lastname: Dai
mesh_terms: D002681:China / Q000453:epidemiology; D057231:Climate Change; D004403:Dysentery / Q000453:epidemiology*; D006801:Humans; D006813:Humidity; D015994:Incidence; D013696:Temperature; D014887:Weather
keywords: CART; Correlation; Dysentery; PCA; Weather variable