Meteorological linkage of Malaria cases in the eastern state of India

被引:5
|
作者
Kumar, Praveen [1 ]
Pisudde, Pravin [2 ]
Sarthi, Pradhan Parth [3 ]
机构
[1] Minist Earth Sci, India Meteorol Dept, Numer Weather Predict Div, New Delhi 110003, India
[2] ESIC Med Coll & Hosp, Dept Community Med, Hyderabad 500038, India
[3] Cent Univ South Bihar, Sch Earth Biol & Environm Sci, Dept Life Sci, Gaya 824236, India
来源
JOURNAL OF CLIMATE CHANGE AND HEALTH | 2022年 / 5卷
关键词
Vector -borne diseases; Malaria; bihar; Regression modelling; Climate; Weather; CLIMATE-CHANGE; IMPACT; OUTBREAK;
D O I
10.1016/j.joclim.2021.100064
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Changing climate patterns impact sectors such as agriculture, hydrology, health, and others. Malaria is a vector-borne disease signi ficantly associated with changing climate, rampant in Bihar State, India. Hence, the current study aimed to analyse the status and trends of malaria in Bihar with meteorological covariates. It is observed that the maximum cases are reported in the monsoon and post-monsoon phases of the year. Purnia district shows the maximum load. Males of more than 15 years of age are commonly affected. The monthly maximal, minimal, and average temperature, relative humidity, and rainfall were associated with malaria cases with a signi ficant lag effect of 3, 1, 2, 0, and 1 month, respectively. It is depicted that one month before rainfall (i.e. lag 1), two months before (i.e. lag 2) average temperature and the current month for humidity predicts the incidence of malaria occurrence. (c) 2021 The Author(s). Published by Elsevier Masson SAS. This is an open access article under the CC BY-NCND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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页数:7
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