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Mobile population dynamics and malaria vulnerability: a modelling study in the China-Myanmar border region of Yunnan Province, China.
Chen, Tian-Mu; Zhang, Shao-Sen; Feng, Jun; Xia, Zhi-Gui; Luo, Chun-Hai; Zeng, Xu-Can; Guo, Xiang-Rui; Lin, Zu-Rui; Zhou, Hong-Ning; Zhou, Shui-Sen.
Afiliación
  • Chen TM; Department of Malaria, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, 207 Rui Jin Er Road, Shanghai, 200025, People's Republic of China.
  • Zhang SS; WHO Collaborating Centre for Tropical Diseases, 207 Rui Jin Er Road, Shanghai, 200025, People's Republic of China.
  • Feng J; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, 207 Rui Jin Er Road, Shanghai, 200025, People's Republic of China.
  • Xia ZG; Key Laboratory of Parasite and Vector Biology, Ministry of Health, 207 Rui Jin Er Road, Shanghai, 200025, People's Republic of China.
  • Luo CH; Department of Malaria, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, 207 Rui Jin Er Road, Shanghai, 200025, People's Republic of China.
  • Zeng XC; WHO Collaborating Centre for Tropical Diseases, 207 Rui Jin Er Road, Shanghai, 200025, People's Republic of China.
  • Guo XR; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, 207 Rui Jin Er Road, Shanghai, 200025, People's Republic of China.
  • Lin ZR; Key Laboratory of Parasite and Vector Biology, Ministry of Health, 207 Rui Jin Er Road, Shanghai, 200025, People's Republic of China.
  • Zhou HN; Department of Malaria, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, 207 Rui Jin Er Road, Shanghai, 200025, People's Republic of China.
  • Zhou SS; WHO Collaborating Centre for Tropical Diseases, 207 Rui Jin Er Road, Shanghai, 200025, People's Republic of China.
Infect Dis Poverty ; 7(1): 36, 2018 Apr 29.
Article en En | MEDLINE | ID: mdl-29704895
ABSTRACT

BACKGROUND:

The China-Myanmar border region presents a great challenge in malaria elimination in China, and it is essential to understand the relationship between malaria vulnerability and population mobility in this region.

METHODS:

A community-based, cross-sectional survey was performed in five villages of Yingjiang county during September 2016. Finger-prick blood samples were obtained to identify asymptomatic infections, and imported cases were identified in each village (between January 2013 and September 2016). A stochastic simulation model (SSM) was used to test the relationship between population mobility and malaria vulnerability, according to the mechanisms of malaria importation.

RESULTS:

Thirty-two imported cases were identified in the five villages, with a 4-year average of 1 case/year (range 0-5 cases/year). No parasites were detected in the 353 blood samples from 2016. The median density of malaria vulnerability was 0.012 (range 0.000-0.033). The average proportion of mobile members of the study population was 32.56% (range 28.38-71.95%). Most mobile individuals lived indoors at night with mosquito protection. The SSM model fit the investigated data (χ2 = 0.487, P = 0.485). The average probability of infection in the members of the population that moved to Myanmar was 0.011 (range 0.0048-0.1585). The values for simulated vulnerability increased with greater population mobility in each village.

CONCLUSIONS:

A high proportion of population mobility was associated with greater malaria vulnerability in the China-Myanmar border region. Mobile population-specific measures should be used to decrease the risk of malaria re-establishment in China.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Dinámica Poblacional / Malaria Tipo de estudio: Observational_studies / Prevalence_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: Infect Dis Poverty Año: 2018 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Dinámica Poblacional / Malaria Tipo de estudio: Observational_studies / Prevalence_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: Infect Dis Poverty Año: 2018 Tipo del documento: Article