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 re...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.展开更多
基金This work was supported by Scientific Project of Shanghai Municipal Commission of Health and Family Planning(No.20164Y0047).
文摘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.
