Characterizing and quantifying human movement patterns using GPS data loggers in an area approaching malaria elimination in rural southern Zambia.

Characterizing and quantifying human movement patterns using GPS data loggers in an area approaching malaria elimination in rural southern Zambia.
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DOI:
10.1098/rsos.170046
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发表时间:
2017-05
影响因子:
3.5
通讯作者:
Moss WJ
Moss WJ
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Searle KM;Lubinda J;Hamapumbu H;Shields TM;Curriero FC;Smith DL;Thuma PE;Moss WJ

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在接近消灭疟疾的地区,人员流动模式对于确定疟疾病例中输入病例或低水平地方性传播病例的比例十分重要。在赞比亚南部省Choma区Macha医院的集水区进行的一项纵向队列研究中,选择参与者的便利样本,从2013年10月至2014年8月携带GPS数据记录仪一个月。建立了密度图和活动空间图,以评估季节性运动模式。计算了按蚊叮咬期间在家庭大院外度过的时间,以及在疟疾高风险和低风险地区度过的时间。有证据表明存在季节性迁移模式,旱季长途迁移增加。中位数为10.6%(四分位距(IQR):5.8-23.8)的时间是在远离家庭的地方度过的,在按蚊叮咬时间期间下降到5.6%(IQR:1.7-14.9)。居住在高风险地区的参与者在疟疾高风险地区度过的时间百分比范围为83.2%至100%,但居住在低风险地区的参与者仅为0.0%至36.7%。针对家庭的干预措施可能更有效,因为雨季期间行动受到限制,高风险地区和低风险地区之间的行动有限。
In areas approaching malaria elimination, human mobility patterns are important in determining the proportion of malaria cases that are imported or the result of low-level, endemic transmission. A convenience sample of participants enrolled in a longitudinal cohort study in the catchment area of Macha Hospital in Choma District, Southern Province, Zambia, was selected to carry a GPS data logger for one month from October 2013 to August 2014. Density maps and activity space plots were created to evaluate seasonal movement patterns. Time spent outside the household compound during anopheline biting times, and time spent in malaria high- and low-risk areas, were calculated. There was evidence of seasonal movement patterns, with increased long-distance movement during the dry season. A median of 10.6% (interquartile range (IQR): 5.8–23.8) of time was spent away from the household, which decreased during anopheline biting times to 5.6% (IQR: 1.7–14.9). The per cent of time spent in malaria high-risk areas for participants residing in high-risk areas ranged from 83.2% to 100%, but ranged from only 0.0% to 36.7% for participants residing in low-risk areas. Interventions targeted at the household may be more effective because of restricted movement during the rainy season, with limited movement between high- and low-risk areas.