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2005 - 2019年斯里兰卡西部省份三种遥相关型与登革热发病率之间的相关性

The Correlation Between Three Teleconnections and Dengue Incidence in the Western Province of Sri Lanka, 2005-2019.

作者信息

Ehelepola N D B, Ariyaratne Kusalika, Ratnayake R M P

机构信息

Teaching (General) Hospital-Peradeniya Peradeniya Sri Lanka.

Lanka Hydraulic Institute Moratuwa Sri Lanka.

出版信息

Geohealth. 2025 Sep 23;9(9):e2024GH001144. doi: 10.1029/2024GH001144. eCollection 2025 Sep.

Abstract

Dengue is an arboviral fever. Weather modulates dengue transmission by influencing the life cycles of vector mosquitoes and the virus. Three teleconnections are known to affect the weather in Sri Lanka. Those are El Nino Southern Oscillation (ENSO), Indian Ocean Dipole (IOD) and ENSO Modoki. We studied correlations between dengue incidence (DI) in the Western Province (WP) of Sri Lanka as a whole and three districts of the province and indices of ENSO, IOD and ENSO Modoki. We used four indices of ENSO and one index each of IOD and ENSO Modoki. We acquired notified dengue cases in WP, population data and monthly indices of three teleconnections for the 2005-2019 period. We used wavelet time series analysis to determine correlations between indices of teleconnections and DI. Two indices of ENSO were correlated with the DI of the WP and all three districts of the WP individually. The other two indices were correlated with the DI of two districts. The index of IOD was correlated with DI of two districts. The index of ENSO Modoki was correlated with the DI of WP and one district of it. Both positive and negative extremes of at least one teleconnection index were followed by the rise of DI in all districts. We concluded that three teleconnections modulate DI of different districts of WP in different ways. Monitoring of indices of these teleconnections and escalating dengue preventive work after extremes of indices can potentially blunt impending dengue peaks.

摘要

登革热是一种虫媒病毒引起的发热疾病。天气通过影响媒介蚊子和病毒的生命周期来调节登革热的传播。已知有三种遥相关影响斯里兰卡的天气。它们是厄尔尼诺南方涛动(ENSO)、印度洋偶极子(IOD)和ENSO Modoki。我们研究了斯里兰卡西部省(WP)整体以及该省三个地区的登革热发病率(DI)与ENSO、IOD和ENSO Modoki指数之间的相关性。我们使用了四个ENSO指数以及各一个IOD和ENSO Modoki指数。我们获取了2005 - 2019年期间WP的登革热通报病例、人口数据以及三种遥相关的月度指数。我们使用小波时间序列分析来确定遥相关指数与DI之间的相关性。两个ENSO指数分别与WP整体以及WP的所有三个地区的DI相关。另外两个指数与两个地区的DI相关。IOD指数与两个地区的DI相关。ENSO Modoki指数与WP及其一个地区的DI相关。至少一种遥相关指数的正负极端情况之后,所有地区的DI都会上升。我们得出结论,三种遥相关以不同方式调节WP不同地区的DI。监测这些遥相关指数,并在指数极端情况后加强登革热预防工作,可能会缓解即将到来的登革热高峰。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbfd/12455246/8ba56545d010/GH2-9-e2024GH001144-g001.jpg

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