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Geographical and temporal distribution of the residual clusters of human leptospirosis in China, 2005-2016.
Dhewantara, Pandji Wibawa; Mamun, Abdullah Al; Zhang, Wen-Yi; Yin, Wen-Wu; Ding, Fan; Guo, Danhuai; Hu, Wenbiao; Magalhães, Ricardo J Soares.
Afiliación
  • Dhewantara PW; UQ Spatial Epidemiology Laboratory, School of Veterinary Science, The University of Queensland, Gatton, QLD, 4343, Australia. p.dhewantara@uq.edu.au.
  • Mamun AA; National Institute of Health Research and Development (NIHRD), Ministry of Health of Indonesia, Pangandaran Unit of Health Research and Development, Pangandaran, West Java, 46396, Indonesia. p.dhewantara@uq.edu.au.
  • Zhang WY; Institute for Social Science Research, The University of Queensland, Indooroopilly, QLD, 4068, Australia.
  • Yin WW; Center for Disease Surveillance and Research, Institute of Disease Control and Prevention of PLA, Beijing, 100071, People's Republic of China.
  • Ding F; Chinese Center for Disease Control and Prevention, Beijing, 102206, People's Republic of China. yinww@chinacdc.cn.
  • Guo D; Chinese Center for Disease Control and Prevention, Beijing, 102206, People's Republic of China.
  • Hu W; Computer Network Information Center, Chinese Academy of Sciences, Beijing, 100190, People's Republic of China.
  • Magalhães RJS; School of Public Health and Social Work, Queensland University of Technology, Kelvin Grove, QLD, 4059, Australia.
Sci Rep ; 8(1): 16650, 2018 11 09.
Article en En | MEDLINE | ID: mdl-30413773
ABSTRACT
Human leptospirosis outbreaks still persistently occur in part of China, indicating that leptospirosis remains an important zoonotic disease in the country. Spatiotemporal pattern of the high-risk leptospirosis cluster and the key characteristics of high-risk areas for leptospirosis across the country are still poorly understood. Using spatial analytical approaches, we analyzed 8,158 human leptospirosis cases notified during 2005-2016 across China to explore the geographical distribution of leptospirosis hotspots and to characterize demographical, ecological and socioeconomic conditions of high-risk counties for leptospirosis in China. During the period studied, leptospirosis incidence was geographically clustered with the highest rate observed in the south of the Province of Yunnan. The degree of spatial clustering decreased over time suggesting changes in local risk factors. However, we detected residual high-risk counties for leptospirosis including counties in the southwest, central, and southeast China. High-risk counties differed from low-risk counties in terms of its demographical, ecological and socioeconomic characteristics. In high-risk clusters, leptospirosis was predominantly observed on younger population, more males and farmers. Additionally, high-risk counties are characterized by larger rural and less developed areas, had less livestock density and crops production, and located at higher elevation with higher level of precipitation compare to low-risk counties. In conclusion, leptospirosis distribution in China appears to be highly clustered to a discrete number of counties highlighting opportunities for elimination; hence, public health interventions should be effectively targeted to high-risk counties identified in this study.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Zoonosis / Brotes de Enfermedades / Leptospirosis Tipo de estudio: Etiology_studies / Incidence_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Adult / Animals / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: Sci Rep Año: 2018 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Zoonosis / Brotes de Enfermedades / Leptospirosis Tipo de estudio: Etiology_studies / Incidence_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Adult / Animals / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: Sci Rep Año: 2018 Tipo del documento: Article País de afiliación: Australia