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Technical Workflow Development for Integrating Drone Surveys and Entomological Sampling to Characterise Aquatic Larval Habitats of Anopheles funestus in Agricultural Landscapes in Côte d’Ivoire
Land-use practices such as agriculture can impact mosquito vector breeding ecology, resulting in changes in disease transmission. The …
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Technical Workflow Development for Integrating Drone Surveys and Entomological Sampling to Characterise Aquatic Larval Habitats of Anopheles funestus in Agricultural Landscapes in Côte d’Ivoire
Open-Source 3D Printable GPS Tracker to Characterize the Role of Human Population Movement on Malaria Epidemiology in River Networks: A Proof-of-Concept Study in the Peruvian Amazon
Human movement affects malaria epidemiology at multiple geographical levels; however, few studies measure the role of human movement in …
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Open-Source 3D Printable GPS Tracker to Characterize the Role of Human Population Movement on Malaria Epidemiology in River Networks: A Proof-of-Concept Study in the Peruvian Amazon
Travel Time to Health Facilities as a Marker of Geographical Accessibility Across Heterogeneous Land Coverage in Peru
To better estimate the travel time to the most proximate health care facility (HCF) and determine differences across heterogeneous land …
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Travel Time to Health Facilities as a Marker of Geographical Accessibility Across Heterogeneous Land Coverage in Peru
Malaria vector species in Amazonian Peru co-occur in larval habitats but have distinct larval microbial communities
In Amazonian Peru, the primary malaria vector, Nyssorhynchus darlingi (formerly Anopheles darlingi), is difficult to target using …
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Malaria vector species in Amazonian Peru co-occur in larval habitats but have distinct larval microbial communities
High-accuracy detection of malaria vector larval habitats using drone-based multispectral imagery
Interest in larval source management (LSM) as an adjunct intervention to control and eliminate malaria transmission has recently …
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High-accuracy detection of malaria vector larval habitats using drone-based multispectral imagery