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Spatiotemporal dynamics and environmental determinants of scrub typhus in Anhui Province, China, 2010-2020.
Wei, Xianyu; He, Junyu; Yin, Wenwu; Soares Magalhaes, Ricardo J; Wang, Yanding; Xu, Yuanyong; Wen, Liang; Sun, Yehuan; Zhang, Wenyi; Sun, Hailong.
Affiliation
  • Wei X; Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.
  • He J; Chinese PLA Center for Disease Control and Prevention, Beijing, China.
  • Yin W; Ocean College, Zhejiang University, Zhoushan, China.
  • Soares Magalhaes RJ; Ocean Academy, Zhejiang University, Zhoushan, China.
  • Wang Y; Chinese Center for Disease Control and Prevention, Beijing, China.
  • Xu Y; Spatial Epidemiology Laboratory, School of Veterinary Science, The University of Queensland, Brisbane, Australia.
  • Wen L; Child Health Research Center, The University of Queensland, Brisbane, Australia.
  • Sun Y; Chinese PLA Center for Disease Control and Prevention, Beijing, China.
  • Zhang W; Chinese PLA Center for Disease Control and Prevention, Beijing, China.
  • Sun H; Chinese PLA Center for Disease Control and Prevention, Beijing, China.
Sci Rep ; 13(1): 2131, 2023 02 06.
Article in En | MEDLINE | ID: mdl-36747027
ABSTRACT
This study aims to describe the epidemiological characteristics of scrub typhus, detect the spatio-temporal patterns of scrub typhus at county level, and explore the associations between the environmental variables and scrub typhus cases in Anhui Province. Time-series analysis, spatial autocorrelation analysis, and space-time scan statistics were used to explore the characteristics and spatiotemporal patterns of the scrub typhus in Anhui Province. Negative binomial regression analysis was used to explore the association between scrub typhus and environmental variables. A total of 16,568 clinically diagnosed and laboratory-confirmed cases were reported from 104 counties of 16 prefecture-level cities. The number of female cases was higher than male cases, with a proportion of 1.321. And the proportion of cases over 65 years old was the highest, accounting for 33.8% of the total cases. Two primary and five secondary high-risk clusters were detected in the northwestern, northeastern, and central-eastern parts of Anhui Province. The number of cases in primary and secondary high-risk clusters accounted for 60.27% and 3.00%, respectively. Scrub typhus incidence in Anhui Province was positively correlated with the population density, normalized difference vegetation index, and several meteorological variables. The mean monthly sunshine duration with 3 lags (SSD_lag3), mean monthly ground surface temperature with 1 lag (GST_lag1), and mean monthly relative humidity with 3 lags (RHU_lag3) had the most significant association with increased cases of scrub typhus. Our findings indicate that public health interventions need to be focused on the elderly farmers in north of the Huai River in Anhui Province.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Scrub Typhus Type of study: Diagnostic_studies / Incidence_studies / Prognostic_studies Limits: Aged / Female / Humans / Male Country/Region as subject: Asia Language: En Journal: Sci Rep Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Scrub Typhus Type of study: Diagnostic_studies / Incidence_studies / Prognostic_studies Limits: Aged / Female / Humans / Male Country/Region as subject: Asia Language: En Journal: Sci Rep Year: 2023 Document type: Article