Yang Dongyang, Xu Chengdong, Wang Jinfeng, Zhao Yong
School of Geographic Sciences, East China Normal University, Shanghai, 200241, China.
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Science and Natural Resource Research, Chinese Academy of Sciences, Beijing, 100101, China.
BMC Public Health. 2017 Jan 11;17(1):66. doi: 10.1186/s12889-016-3994-9.
Malaria remains an important public health concern in China and is particularly serious in Yunnan, a China's provincial region of high malaria burden with an incidence of 1.79/10 in 2012. This study aims to examine the epidemiologic profile and spatiotemporal aspects of epidemics of malaria, and to examine risk factors which may influence malaria epidemics in Yunnan Province.
The data of malaria cases in 2012 in 125 counties of Yunnan Province was used in this research. The epidemical characteristics of cases were revealed, and time and space clusters of malaria were detected by applying scan statistics method. In addition, we applied the geographically weighted regression (GWR) model in identifying underlying risk factors.
There was a total of 821 cases of malaria, and male patients accounted for 83.9% (689) of the total cases. The incidence in the group aged 20-30 years was the highest, at 3.00/10. The majority (84.1%) of malaria cases occurred in farmers and migrant workers, according to occupation statistics. On a space-time basis, epidemics of malaria of varying severity occurred in the summer and autumn months, and the high risk regions were mainly distributed in the southwest counties. Annual average temperature, annual cumulative rainfall, rice yield per square kilometer and proportion of rural employees mainly showed a positive association with the malaria incidence rate, according to the GWR model.
Malaria continues to be one of serious public health issues in Yunnan Province, especially in border counties in southwestern Yunnan. Temperature, precipitation, rice cultivation and proportion of rural employees were positively associated with malaria incidence. Individuals, and disease prevention and control departments, should implement more stringent preventative strategies in locations with hot and humid environmental conditions to control malaria.
疟疾仍是中国重要的公共卫生问题,在云南尤为严重,云南是中国疟疾负担较高的省级地区,2012年发病率为1.79/10万。本研究旨在探讨疟疾流行的流行病学特征及时空特征,并研究可能影响云南省疟疾流行的危险因素。
本研究使用了云南省125个县2012年的疟疾病例数据。揭示病例的流行特征,并应用扫描统计方法检测疟疾的时间和空间聚集性。此外,我们应用地理加权回归(GWR)模型来识别潜在的危险因素。
共报告疟疾病例821例,男性患者占总病例数的83.9%(689例)。20 - 30岁年龄组的发病率最高,为3.00/10万。职业统计显示,大多数疟疾病例(84.1%)发生在农民和农民工中。在时空方面,不同严重程度的疟疾流行发生在夏季和秋季,高风险地区主要分布在西南部各县。根据GWR模型,年平均气温、年累计降雨量、每平方公里水稻产量和农村从业人员比例与疟疾发病率主要呈正相关。
疟疾仍然是云南省严重的公共卫生问题之一,特别是在云南西南部的边境县。温度、降水、水稻种植和农村从业人员比例与疟疾发病率呈正相关。个人以及疾病预防控制部门应在湿热环境条件地区实施更严格的预防策略以控制疟疾。