2022
DOI: 10.1186/s13071-022-05580-5
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The use of drones for mosquito surveillance and control

Abstract: In recent years, global health security has been threatened by the geographical expansion of vector-borne infectious diseases such as malaria, dengue, yellow fever, Zika and chikungunya. For a range of these vector-borne diseases, an increase in residual (exophagic) transmission together with ecological heterogeneity in everything from weather to local human migration and housing to mosquito species’ behaviours presents many challenges to effective mosquito control. The novel use of drones (or uncrewed aerial … Show more

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Cited by 36 publications
(20 citation statements)
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“…Remote sensors and geographic information systems can analyze factors associated with malaria transmission and Anopheles species development in rural and semi-urban environments [41,[51][52][53][54][55]. Recently, some studies have recommended using a high spatial resolution to better identify and characterize Anopheles mosquitoes' breeding sites [16,41]. Home recipients, such as plastic and tin buckets and disposable plastic containers with a diameter of 20-30 cm, can be detected by high-resolution drone imagery [19]; these containers hold water and can function as breeding sites, playing a crucial role in Ae.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…Remote sensors and geographic information systems can analyze factors associated with malaria transmission and Anopheles species development in rural and semi-urban environments [41,[51][52][53][54][55]. Recently, some studies have recommended using a high spatial resolution to better identify and characterize Anopheles mosquitoes' breeding sites [16,41]. Home recipients, such as plastic and tin buckets and disposable plastic containers with a diameter of 20-30 cm, can be detected by high-resolution drone imagery [19]; these containers hold water and can function as breeding sites, playing a crucial role in Ae.…”
Section: Discussionmentioning
confidence: 99%
“…The technology offered by drones allows for higher resolution images to be taken than those obtained with traditional means, such as satellites and manned aircraft. Through the review of scientific literature, Carrasco et al [16] documented evidence of the use of unmanned aerial vehicles (UAVs) in entomological surveillance activities and mosquito control in different countries worldwide. In America, a few studies used drones to identify breeding sites for Anopheles darlingi larvae in Peru [17] and breeding sites of Ae.…”
Section: Introductionmentioning
confidence: 99%
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“…Wolbachia-based control, also known as endosymbiotic control, involves releasing mosquitoes infected with Wolbachia, a genus of obligate intracellular bacteria that while colonizing A. aegypti mosquitoes, these insects become less susceptible to variety of arboviruses infection, thereby reducing the potential for disease transmission (73,74). In addition to these techniques, wearable devices and smartphone apps are being explored as tools for outbreak tracking and prediction, as well as, the use of drones and other aerial vehicles to deliver insecticides and other control measures has been explored (71). While these technologies offer exciting possibilities for vector control, there are also challenges and limitations that must be considered.…”
Section: Prevention/vaccinesmentioning
confidence: 99%
“…Remote sensing technology enables the mapping of environmental and weather information over extensive regions, and remote sensing derived datasets have become readily available over the past years. Despite challenges related to integrating in-situ data with satellite-based estimates, such as data quality and model complexities, the improved integration of geospatial and remote sensing expertise into VBD control programs has notably advanced global research on the environmental and weather factors that affect disease vector abundance (Kalluri et al, 2007;Dlamini et al, 2019;Palaniyandi et al, 2021;Carrasco-Escobar et al, 2022;Mechan et al, 2023). In addition, the rapid evolution of technology has led to the development of increasingly sophisticated predictive modelling methodologies, particularly through the utilization of machine learning (Kaur et al, 2021(Kaur et al, , 2022Keshavamurthy et al, 2022;Yu et al, 2022), offering an advantage over traditional geostatistical methods by facilitating the capturing of intricate non-linear interactions among variables (Taconet et al, 2021).…”
Section: Introductionmentioning
confidence: 99%