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      The use of drones for mosquito surveillance and control

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          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 vehicles) may play a major role in the success of mosquito surveillance and control programmes in the coming decades since the global landscape of mosquito-borne diseases and disease dynamics fluctuates frequently and there could be serious public health consequences if the issues of insecticide resistance and outdoor transmission are not adequately addressed. For controlling both aquatic and adult stages, for several years now remote sensing data have been used together with predictive modelling for risk, incidence and detection of transmission hot spots and landscape profiles in relation to mosquito-borne pathogens. The field of drone-based remote sensing is under continuous change due to new technology development, operation regulations and innovative applications. In this review we outline the opportunities and challenges for integrating drones into vector surveillance (i.e. identification of breeding sites or mapping micro-environmental composition) and control strategies (i.e. applying larval source management activities or deploying genetically modified agents) across the mosquito life-cycle. We present a five-step systematic environmental mapping strategy that we recommend be undertaken in locations where a drone is expected to be used, outline the key considerations for incorporating drone or other Earth Observation data into vector surveillance and provide two case studies of the advantages of using drones equipped with multispectral cameras. In conclusion, recent developments mean that drones can be effective for accurately conducting surveillance, assessing habitat suitability for larval and/or adult mosquitoes and implementing interventions. In addition, we briefly discuss the need to consider permissions, costs, safety/privacy perceptions and community acceptance for deploying drone activities.

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          The online version contains supplementary material available at 10.1186/s13071-022-05580-5.

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          The effect of malaria control on Plasmodium falciparum in Africa between 2000 and 2015

          Since the year 2000, a concerted campaign against malaria has led to unprecedented levels of intervention coverage across sub-Saharan Africa. Understanding the effect of this control effort is vital to inform future control planning. However, the effect of malaria interventions across the varied epidemiological settings of Africa remains poorly understood owing to the absence of reliable surveillance data and the simplistic approaches underlying current disease estimates. Here we link a large database of malaria field surveys with detailed reconstructions of changing intervention coverage to directly evaluate trends from 2000 to 2015 and quantify the attributable effect of malaria disease control efforts. We found that Plasmodium falciparum infection prevalence in endemic Africa halved and the incidence of clinical disease fell by 40% between 2000 and 2015. We estimate that interventions have averted 663 (542–753 credible interval) million clinical cases since 2000. Insecticide-treated nets, the most widespread intervention, were by far the largest contributor (68% of cases averted). Although still below target levels, current malaria interventions have substantially reduced malaria disease incidence across the continent. Increasing access to these interventions, and maintaining their effectiveness in the face of insecticide and drug resistance, should form a cornerstone of post-2015 control strategies.
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            Contemporary status of insecticide resistance in the major Aedes vectors of arboviruses infecting humans

            Both Aedes aegytpi and Ae. albopictus are major vectors of 5 important arboviruses (namely chikungunya virus, dengue virus, Rift Valley fever virus, yellow fever virus, and Zika virus), making these mosquitoes an important factor in the worldwide burden of infectious disease. Vector control using insecticides coupled with larval source reduction is critical to control the transmission of these viruses to humans but is threatened by the emergence of insecticide resistance. Here, we review the available evidence for the geographical distribution of insecticide resistance in these 2 major vectors worldwide and map the data collated for the 4 main classes of neurotoxic insecticide (carbamates, organochlorines, organophosphates, and pyrethroids). Emerging resistance to all 4 of these insecticide classes has been detected in the Americas, Africa, and Asia. Target-site mutations and increased insecticide detoxification have both been linked to resistance in Ae. aegypti and Ae. albopictus but more work is required to further elucidate metabolic mechanisms and develop robust diagnostic assays. Geographical distributions are provided for the mechanisms that have been shown to be important to date. Estimating insecticide resistance in unsampled locations is hampered by a lack of standardisation in the diagnostic tools used and by a lack of data in a number of regions for both resistance phenotypes and genotypes. The need for increased sampling using standard methods is critical to tackle the issue of emerging insecticide resistance threatening human health. Specifically, diagnostic doses and well-characterised susceptible strains are needed for the full range of insecticides used to control Ae. aegypti and Ae. albopictus to standardise measurement of the resistant phenotype, and calibrated diagnostic assays are needed for the major mechanisms of resistance.
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              Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus

              The global population at risk from mosquito-borne diseases—including dengue, yellow fever, chikungunya and Zika—is expanding in concert with changes in the distribution of two key vectors: Aedes aegypti and Aedes albopictus. The distribution of these species is largely driven by both human movement and the presence of suitable climate. Using statistical mapping techniques, we show that human movement patterns explain the spread of both species in Europe and the United States following their introduction. We find that the spread of Ae. aegypti is characterized by long distance importations, while Ae. albopictus has expanded more along the fringes of its distribution. We describe these processes and predict the future distributions of both species in response to accelerating urbanization, connectivity and climate change. Global surveillance and control efforts that aim to mitigate the spread of chikungunya, dengue, yellow fever and Zika viruses must consider the so far unabated spread of these mosquitos. Our maps and predictions offer an opportunity to strategically target surveillance and control programmes and thereby augment efforts to reduce arbovirus burden in human populations globally.
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                Author and article information

                Contributors
                gabriel.carrasco@upch.pe
                marta.moreno@lshtm.ac.uk
                kimberly.fornace@lshtm.ac.uk
                manuelahv82@gmail.com
                edgar.manrique@upch.pe
                jan.conn@health.ny.gov
                Journal
                Parasit Vectors
                Parasit Vectors
                Parasites & Vectors
                BioMed Central (London )
                1756-3305
                16 December 2022
                16 December 2022
                2022
                : 15
                : 473
                Affiliations
                [1 ]GRID grid.11100.31, ISNI 0000 0001 0673 9488, Health Innovation Laboratory, Institute of Tropical Medicine “Alexander Von Humboldt”, , Universidad Peruana Cayetano Heredia, ; Lima, Peru
                [2 ]GRID grid.266100.3, ISNI 0000 0001 2107 4242, School of Public Health, , University of California San Diego, ; La Jolla, USA
                [3 ]GRID grid.8991.9, ISNI 0000 0004 0425 469X, Faculty of Infectious and Tropical Diseases and Centre for Climate Change and Planetary Health, , London School Hygiene and Tropical Medicine, ; London, UK
                [4 ]GRID grid.8756.c, ISNI 0000 0001 2193 314X, School of Biodiversity, One Health and Veterinary Medicine, , University of Glasgow, ; Glasgow, UK
                [5 ]GRID grid.10689.36, ISNI 0000 0001 0286 3748, Grupo de Investigación en Entomología, Facultad de Medicina, , Universidad Nacional de Colombia, ; Bogotá, Colombia
                [6 ]GRID grid.238491.5, ISNI 0000 0004 0367 6866, The Wadsworth Center, , New York State Department of Health, ; Albany, NY USA
                [7 ]GRID grid.189747.4, ISNI 0000 0000 9554 2494, Department of Biomedical Sciences, School of Public Health, , State University of New York, ; Albany, NY USA
                [8 ]GRID grid.4280.e, ISNI 0000 0001 2180 6431, Saw Swee Hock School of Public Health, , National University of Singapore and National University Health System, ; Singapore, Singapore
                Author information
                http://orcid.org/0000-0002-6945-0419
                Article
                5580
                10.1186/s13071-022-05580-5
                9758801
                36527116
                1e93ba8a-8226-44a3-81d0-881160ac1a27
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 19 January 2022
                : 4 November 2022
                Categories
                Review
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                © The Author(s) 2022

                Parasitology
                drones,uncrewed aerial vehicle,malaria,dengue,control,infectious diseases
                Parasitology
                drones, uncrewed aerial vehicle, malaria, dengue, control, infectious diseases

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