Buzzing Homes: Using Citizen Science Data to Explore the Effects of Urbanization on Indoor Mosquito Communities

Pernat, Nadja; Kampen, Helge; Jeschke, Jonathan M.; Werner, Doreen

doi:10.3390/insects12050374

Cited by 9 publications

(5 citation statements)

References 79 publications

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“…Anthropogenic modifications of land use and land cover create an overabundance of resources and increase the abundance of Ae. aegypti and Culex quinquefasciatus [7], and the dominance of vector-competent species in urban areas poses a potential risk for epidemics of mosquito-borne diseases [8]. México is densely populated, and its population has increased rapidly from 97 million in 2000 to > 120 million in 2020.…”

Section: Introductionmentioning

confidence: 99%

Mapping the Urban Environments of Aedes aegypti Using Drone Technology

Valdez-Delgado,

Garcia-Salazar,

Moo-Llanes

et al. 2023

Drones

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Aedes aegypti is widely distributed worldwide and is the main vector mosquito for dengue, one of the most important infectious diseases in middle- and low-income countries. The landscape composition and vegetation cover determine appropriate environments for this mosquito to breed, and it is fundamental to define the most affordable methodology to understand these landscape variables in urban environments. The proposed methodology integrated drone technologies and traditional entomological surveillance to strengthen our knowledge about areas suitable for Ae. aegypti infestation. We included an analysis using the vegetation indexes, NDVI and NDVIRe, and their association with Ae. aegypti larvae and adults in houses from the El Vergel neighborhood Tapachula, Chiapas, Mexico. We used drone technology to obtain high-resolution photos and performed multispectral orthomosaic constructions for the data of vegetation indexes with a kernel density analysis. A negative binomial regression was performed to determine the association between the numbers of Ae. aegypti larvae and adults with the kernel density based on NDVI and NDVIRe. Medium and high values of kernel density of NDVIRe (both p-value < 0.05) and NDVI (both p-value < 0.05) were associated with a higher amount of mosquito adults per houses. The density of Ae. aegypti larvae per house did not show an association with medium and high values of NDVIRe (both p-value > 0.05) and NDVI (both p-value > 0.05). The vegetation indexes, NDVI and NDVIRe, have potential as precise predictors of Ae. aegypti adult mosquito circulation in urban environments. Drone technology can be used to map and obtain landscape characteristics associated with mosquito abundance in urban environments.

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Section: Introductionmentioning

confidence: 99%

Mapping the Urban Environments of Aedes aegypti Using Drone Technology

Valdez-Delgado,

Garcia-Salazar,

Moo-Llanes

et al. 2023

Drones

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“…The study herein focuses on three mobile apps that are used globally: Mosquito Alert ( , accessed on 30 June 2022), GLOBE Observer ( , accessed on 30 June 2022), and iNaturalist ( , accessed on 30 June 2022). Other mosquito projects are restricted to a single country or region, for example: Argentina (Caza Mosquitos [ 21 ]), Australia (Mozzie Monitors [ 22 ]), France (iMoustique ® [ 23 ]), Germany (Mosquito Mapper [ 24 ] and Mückenatlas [ 25 , 26 , 27 ]), Italy (ZanzaMapp [ 28 ]), the Netherlands (Muggenradar [ 23 ]), Portugal (MosquitoWEB [ 23 ]), Rwanda [ 20 ], Spain (AtrapaelTigre.com [ 23 ]), Tanzania [ 29 ], the UK (Mosquito Reporting Scheme and Mosquito Watch [ 23 ]), and the USA (Mosquito Stoppers [ 30 ], Great Arizona Mosquito Hunt [ 31 ], North American Mosquito Project [ 32 ], and Kidenga [ 33 ]).…”

Section: Introductionmentioning

confidence: 99%

Integrating Global Citizen Science Platforms to Enable Next-Generation Surveillance of Invasive and Vector Mosquitoes

Carney

Mapes

Low

et al. 2022

Insects

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Mosquito-borne diseases continue to ravage humankind with >700 million infections and nearly one million deaths every year. Yet only a small percentage of the >3500 mosquito species transmit diseases, necessitating both extensive surveillance and precise identification. Unfortunately, such efforts are costly, time-consuming, and require entomological expertise. As envisioned by the Global Mosquito Alert Consortium, citizen science can provide a scalable solution. However, disparate data standards across existing platforms have thus far precluded truly global integration. Here, utilizing Open Geospatial Consortium standards, we harmonized four data streams from three established mobile apps—Mosquito Alert, iNaturalist, and GLOBE Observer’s Mosquito Habitat Mapper and Land Cover—to facilitate interoperability and utility for researchers, mosquito control personnel, and policymakers. We also launched coordinated media campaigns that generated unprecedented numbers and types of observations, including successfully capturing the first images of targeted invasive and vector species. Additionally, we leveraged pooled image data to develop a toolset of artificial intelligence algorithms for future deployment in taxonomic and anatomical identification. Ultimately, by harnessing the combined powers of citizen science and artificial intelligence, we establish a next-generation surveillance framework to serve as a united front to combat the ongoing threat of mosquito-borne diseases worldwide.

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“…Although CS projects also require funds for organization, equipment, and data management, voluntary participation greatly reduces the cost for data collection (Dickinson et al, 2010;Kelling et al, 2019). CS projects not only enable gathering data at larger spatial scales, for example nationwide or even globally (Bonney et al, 2009;Brown et al, 2016), but also in locations that are usually difficult to access for researchers, such as private homes and gardens (Pernat et al, 2021). Despite these advantages of CS projects, parts of academia are sceptical about the reliability and utility of citizen-generated data (Lewandowski & Specht, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…CS methods are especially effective for monitoring rare (Tiralongo et al, 2020) and invasive species (Jordt et al, 2016; Pocock et al, 2017) which are typically difficult and costly to monitor (Putman et al, 2021) due to their low abundance or cryptic behaviour (Pernat et al, 2021). CS approaches can also contribute to informing time‐sensitive policy decisions for wildlife conservation.…”

Section: Introductionmentioning

confidence: 99%

Knowledge of returning wildlife species and willingness to participate in citizen science projects among wildlife park visitors in Germany

et al. 2022

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1. Successful conservation efforts have led to recent increases of large mammals such as European bison Bison bonasus, moose Alces alces and grey wolf Canis lupus and their return to former habitats in central Europe. While embraced by some, the recovery of these species is a controversial topic and holds potential for human-wildlife conflicts. Involving the public has been suggested to be an effective method for monitoring wildlife and mitigating associated conflicts. To assess two interrelated prerequisites for engaging people in Citizen Science(CS)-knowledge of returning species and respondents' readiness to participate in CS activities for monitoring and managing these species-we conducted a survey (questionnaire) in two wildlife parks located in different states of Germany.Based on 472 complete questionnaires, we developed generalized linear models to understand how sociodemographic variables and exposure to the species affected visitors' knowledge of each species, and to investigate if sociodemographic variables and knowledge influenced the likelihood of visitors to participate in CS activities.3. Almost all visitors were aware of the returning wolf population, while knowledge and awareness about bison and moose were significantly lower. Knowledge of the two herbivores differed geographically (higher knowledge of moose in the north-eastern state), possibly indicating a positive association between exposure to the species and knowledge. However, models generally performed poorly in predicting knowledge about wildlife, suggesting that such specific knowledge is insufficiently explained by sociodemographic variables. 4. Our model, which explained stated willingness in CS indicated that younger participants and those with higher knowledge scores in the survey were more willing to engage in CS activities.

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Buzzing Homes: Using Citizen Science Data to Explore the Effects of Urbanization on Indoor Mosquito Communities

Cited by 9 publications

References 79 publications

Mapping the Urban Environments of Aedes aegypti Using Drone Technology

Mapping the Urban Environments of Aedes aegypti Using Drone Technology

Integrating Global Citizen Science Platforms to Enable Next-Generation Surveillance of Invasive and Vector Mosquitoes

Knowledge of returning wildlife species and willingness to participate in citizen science projects among wildlife park visitors in Germany

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