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.
WHO Collaborating Centre for Tropical Diseases, 207 Rui Jin Er Road, Shanghai, 200025, People's Republic of China.
Infect Dis Poverty. 2018 Apr 29;7(1):36. doi: 10.1186/s40249-018-0423-6.
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.
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.
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 (χ = 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.
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.
中缅边境地区对中国消除疟疾构成了巨大挑战，了解该地区疟疾脆弱性与人口流动之间的关系至关重要。
2016 年 9 月，在盈江县的五个村庄进行了一项基于社区的横断面调查。采集指血样本以确定无症状感染，在每个村庄（2013 年 1 月至 2016 年 9 月）确定输入性病例。根据疟疾输入的机制，使用随机模拟模型（SSM）检验人口流动与疟疾脆弱性之间的关系。
在五个村庄共发现 32 例输入性病例，4 年平均每年 1 例（范围：0-5 例/年）。2016 年采集的 353 份血样中未检测到寄生虫。疟疾脆弱性中位数密度为 0.012（范围：0.000-0.033）。研究人群中流动成员的平均比例为 32.56%（范围：28.38-71.95%）。大多数流动人口夜间在室内居住，并采取了防蚊措施。SSM 模型拟合了调查数据（χ²=0.487，P=0.485）。流动人口感染的平均概率为 0.011（范围：0.0048-0.1585）。每个村庄的人口流动量越大，模拟脆弱性值越高。
高比例的人口流动与中缅边境地区较高的疟疾脆弱性相关。应针对流动人口采取特定措施，以降低疟疾在中国重新流行的风险。
Zotero 插件
