Meteorological factors and normalized difference vegetation index drivers of scrub typhus incidence in Shandong Province based on a 16-year time-frequency analysis

被引:0
|
作者
Ni, Zhisong [1 ]
Li, Shufen [1 ]
Xi, Rui [1 ]
Liang, Kemeng [1 ]
Song, Sihao [1 ]
Cheng, Chuanlong [1 ]
Zuo, Hui [1 ]
Lu, Liang [2 ]
Li, Xiujun [1 ]
机构
[1] Shandong Univ, Cheeloo Coll Med, Sch Publ Hlth, Dept Biostat, Jinan 250012, Shandong, Peoples R China
[2] Chinese Ctr Dis Control & Prevent, Natl Inst Communicable Dis Control & Prevent, Natl Key Lab Intelligent Tracking & Forecasting In, Beijing 102211, Peoples R China
关键词
Scrub typhus; Wavelet analysis; Meteorological factors; NDVI; Interactions; ORIENTIA-TSUTSUGAMUSHI; YUNNAN PROVINCE; CHIGGER MITES; CHINA; INFESTATION; RICKETTSIA;
D O I
10.1186/s12889-025-21987-y
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
ObjectiveScrub typhus, a natural epidemic disease that seriously impacts the health of the population, has imposed a substantial disease burden in Shandong Province. This study aimed to determine the periodicity of the scrub typhus incidence and identify the environmental risk factors affecting scrub typhus to help prevent and control its occurrence in Shandong Province.MethodsMonthly cases of scrub typhus, mean air temperature, relative humidity, cumulative precipitation, and Normalized Difference Vegetation Index (NDVI) data in Shandong Province from 2006 to 2021 were collected. Wavelet analysis was used to determine the incidence period of scrub typhus and to explore the relationships between environmental factors and the incidence of scrub typhus. Additionally, partial wavelet coherence (PWC) was employed to identify whether meteorological factors affect the association between NDVI and scrub typhus incidence.ResultsOur results showed that scrub typhus incidence has a predominantly one-year period, followed by a less powerful six-month period. The wavelet coherence results revealed positive correlations between scrub typhus incidence and temperature, precipitation, relative humidity, and NDVI. Meteorological factors had a lagged effect of approximately 1-2 months (The phase angles of temperature, precipitation, and relative humidity were 59.15 degrees, 56.57 degrees, and 47.17 degrees respectively) on scrub typhus incidence, whereas NDVI showed a lagged effect of approximately 1-2 weeks (The phase angle of NDVI was 18.11 degrees). On the basis of partial wavelet analysis, we found that temperature and precipitation affected the association between NDVI and scrub typhus incidence.ConclusionMeteorological factors and NDVI play important roles in the occurrence of scrub typhus in Shandong Province. Moreover, temperature and precipitation can affect the role of NDVI. This study provides valuable recommendations and resources for the timely detection, mitigation, and management of scrub typhus in Shandong Province.
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页数:13
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