Use of open mobile mapping tool to assess human mobility traceability in rural offline populations with contrasting malaria dynamics

被引:16
作者
Carrasco-Escobar, Gabriel [1 ,2 ]
Castro, Marcia C. [3 ]
Barboza, Jose Luis [1 ]
Ruiz-Cabrejos, Jorge [1 ]
Llanos-Cuentas, Alejandro [4 ]
Vinetz, Joseph M. [4 ,5 ]
Gamboa, Dionicia [1 ,4 ,6 ]
机构
[1] Univ Peruana Cayetano Heredia, Fac Ciencias & Filosofia, Lab ICEMR Amazonia, Labs Invest & Desarrollo, Lima, Peru
[2] Univ Calif San Diego, Dept Med, Div Infect Dis, La Jolla, CA 92093 USA
[3] Harvard TH Chan Sch Publ Hlth, Dept Global Hlth & Populat, Boston, MA USA
[4] Univ Peruana Cayetano Heredia, Inst Med Trop Alexander von Humboldt, Lima, Peru
[5] Yale Univ, Sch Med, Dept Infect Dis, New Haven, CT USA
[6] Univ Peruana Cayetano Heredia, Fac Ciencias & Filosofia, Dept Ciencias Celulares & Mol, Lima, Peru
关键词
Amazon; Human mobility; Contact network; Malaria; Network; Infectious diseases; Epidemics; INFECTIOUS-DISEASES; FOREST; PERFORMANCE; MOVEMENTS; BEHAVIOR; IQUITOS; IMPACT; RISK;
D O I
10.7717/peerj.6298
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Infectious disease dynamics are affected by human mobility more powerfully than previously thought, and thus reliable traceability data are essential. In rural riverine settings, lack of infrastructure and dense tree coverage deter the implementation of cutting-edge technology to collect human mobility data. To overcome this challenge, this study proposed the use of a novel open mobile mapping tool, GeoODK. This study consists of a purposive sampling of 33 participants in six villages with contrasting patterns of malaria transmission that demonstrates a feasible approach to map human mobility. The self-reported traceability data allowed the construction of the first human mobility framework in rural riverine villages in the Peruvian Amazon. The mobility spectrum in these areas resulted in travel profiles ranging from 2 hours to 19 days; and distances between 10 to 167 km. Most Importantly, occupational-related mobility profiles with the highest displacements (in terms of time and distance) were observed in commercial, logging, and hunting activities. These data are consistent with malaria transmission studies in the area that show villages in watersheds with higher human movement are concurrently those with greater malaria risk. The approach we describe represents a potential tool to gather critical information that can facilitate malaria control activities.
引用
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页数:13
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