Mosquitoes and Public Health: Improving Data Validation of Citizen Science Contributions Using Computer Vision

Muñoz, J. Pablo; Boger, Rebecca; Dexter, Scott; Low, Russanne

doi:10.1007/978-3-030-17347-0_23

Cited by 10 publications

(9 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…New projects benefit from the experience of activities already carried out and can accordingly develop tailor‐made solutions or build on existing infrastructures [e.g. the adaptation of the ‘Mosquito Alert’ app in Hongkong (Cheung, 2017) and the ‘Mückenatlas’ in New Zealand (Museum of New Zealand, 2020) or Globe's Mosquito Mapper Tool (Muñoz et al., 2020)]. Considering the increasing number of projects, an international consortium called ‘Global Mosquito Alert’ seeks to keep the big picture and provides information and tools for all scales of mosquito surveillance (He & Tyson, 2017; Tyson et al., 2018).…”

Section: Introductionmentioning

confidence: 99%

Citizen science versus professional data collection: Comparison of approaches to mosquito monitoring in Germany

Pernat

Kampen

Jeschke

et al. 2020

Journal of Applied Ecology

View full text Add to dashboard Cite

The invasion of non-endemic regions by mosquito vector species is driven by globalization and, in part, climate change and holds serious implications for human health. For instance, the Asian tiger mosquito Aedes albopictus, a species originating from tropical and subtropical regions in Southeast-Asia and the Pacific and an efficient vector of numerous pathogens (Gratz, 2004; Paupy et al., 2009), has been

show abstract

Section: Introductionmentioning

confidence: 99%

Citizen science versus professional data collection: Comparison of approaches to mosquito monitoring in Germany

Pernat

Kampen

Jeschke

et al. 2020

Journal of Applied Ecology

View full text Add to dashboard Cite

show abstract

“…PesTrapp is potential to be customised for different animal trapping studies such as flies, rats and squirrels by adjusting the number of animal species and density index. Further research to integrate PesTrapp with other technologies, ranging from the digital eggs counting 38 , larval image identification 39 , species identification 40 , QR code/barcode 41 and climate data 42,43 are anticipated to improve and extend its capabilities. Nevertheless, there should be a balance of cost and benefit in applying new technologies to the existing low-cost intervention.…”

Section: Discussionmentioning

confidence: 99%

PesTrapp mobile app: A trap setting application for real-time entomological field and laboratory study

Cheong

Rasli

Ibrahim

et al. 2021

Preprint

View full text Add to dashboard Cite

Zoonotic diseases such as malaria, dengue, Zika and chikungunya remain endemic in many countries. Setting and deploying trap to capture the host/vector species are fundamental to understand their density and distribution. Human effort to manage the trap data accurately and timely is an exhaustive endeavor when the study area expands and study period prolongs. One stop mobile app to manage and monitor the process of animal trapping, from field to laboratory level is still scarce. We developed a new mobile app named ″PesTrapp″ especially for medical entomologists to acquire the vector density index based on the mobile updates of ovitraps and species information in field and laboratory. This study aimed to highlight the mobile app′s development and design, describe the user experience and evaluate the preliminary user assessment of the mobile app. The mobile app was developed using mobile framework and database. User evaluation of the mobile app was based on the adjusted Mobile App Rating Scale and Standardized User Experience Percentile Rank Questionnaire. The process flows of system design and detailed screen layouts were described. The user experiences of using the app in a project to study Aedes surveillance in six study sites in Selangor, Malaysia were described. The overall mean user evaluation score of the mobile app was 4.0 (SD=0.6), which showed its acceptability by the users. The PesTrapp, a one-stop solution, is anticipated to improve the entomological surveillance work processes. This new mobile app can contribute as a tool in the vector control countermeasure strategies.

show abstract

“…PesTrapp is potential to be customised for different animal trapping studies such as flies, rats and squirrels by adjusting the number of animal species and density indices. Further research to integrate PesTrapp with other technologies, ranging from the digital eggs counting (Brasil et al, 2015), larval image identification (Muñoz et al, 2020), species identification (Sharma et al, 2019), QR code/barcode (Boob et al, 2014) and climate data (Cheong et al, 2013;Jain et al, 2019) are anticipated to improve and extend its capabilities. Nevertheless, there should be a balance of cost and benefit in applying new technologies to the existing low-cost intervention.…”

Section: Discussionmentioning

confidence: 99%

PesTrapp mobile app: A trap setting application for real-time entomological field and laboratory study

et al. 2021

View full text Add to dashboard Cite

Mosquitoes and Public Health: Improving Data Validation of Citizen Science Contributions Using Computer Vision

Cited by 10 publications

References 32 publications

Citizen science versus professional data collection: Comparison of approaches to mosquito monitoring in Germany

Citizen science versus professional data collection: Comparison of approaches to mosquito monitoring in Germany

PesTrapp mobile app: A trap setting application for real-time entomological field and laboratory study

PesTrapp mobile app: A trap setting application for real-time entomological field and laboratory study

Contact Info

Product

Resources

About