TY - JOUR
T1 - Climatic Variables and transmission of malaria
T2 - a 12-year data analysis in Shuchen County, China
AU - Bi, Peng
AU - Tong, Shilu
AU - Donald, Ken
AU - Parton, Kevin
AU - Ni, Jinfa
N1 - Imported on 12 Apr 2017 - DigiTool details were: Journal title (773t) = Public Health Reports. ISSNs: 0033-3549;
PY - 2003
Y1 - 2003
N2 - OBJECTIVE: The objective of this study was to explore the impact of climate variability on the transmission of malaria, a vector-borne disease, in a county of China and provide suggestions to similar regions for disease prevention. METHODS: A time-series analysis was conducted using data on monthly climatic variables and monthly incidence of malaria in Shuchen County, China, for the period 1980-1991. RESULTS: Spearman's correlation analysis showed that monthly mean maximum and minimum temperatures, two measures of monthly mean relative humidity, and monthly amount of precipitation were positively correlated with the monthly incidence of malaria in the county. Regression analysis suggested that monthly mean minimum temperature and total monthly rainfall, with a one-month lagged effect, were significant climatic variables in the transmission of malaria in Shuchen County. Seasonality was also significant in the regression model and there was a declining secular trend in the incidence of malaria. CONCLUSION: The results indicate that climatic variables should be considered as possible predictors for regions with similar geographic, climatic, and socioeconomic conditions to those of Shuchen County.
AB - OBJECTIVE: The objective of this study was to explore the impact of climate variability on the transmission of malaria, a vector-borne disease, in a county of China and provide suggestions to similar regions for disease prevention. METHODS: A time-series analysis was conducted using data on monthly climatic variables and monthly incidence of malaria in Shuchen County, China, for the period 1980-1991. RESULTS: Spearman's correlation analysis showed that monthly mean maximum and minimum temperatures, two measures of monthly mean relative humidity, and monthly amount of precipitation were positively correlated with the monthly incidence of malaria in the county. Regression analysis suggested that monthly mean minimum temperature and total monthly rainfall, with a one-month lagged effect, were significant climatic variables in the transmission of malaria in Shuchen County. Seasonality was also significant in the regression model and there was a declining secular trend in the incidence of malaria. CONCLUSION: The results indicate that climatic variables should be considered as possible predictors for regions with similar geographic, climatic, and socioeconomic conditions to those of Shuchen County.
M3 - Article
SN - 0033-3549
VL - 118
SP - 65
EP - 71
JO - Public Health Reports
JF - Public Health Reports
IS - 1
ER -
