Aldosery, A;
Musah, A;
De Gouveia, BO;
Kostkova, P;
(2024)
Madeira Mosquito Surveillance App (MMSA): Leveraging Mobile Phone Apps for Enhanced Mosquito Surveillance.
In: Rodrigues, N and Badia, SBI and Vilaca, JL and Duque, D and Cameirao, MD and Dias, N and Oliveira, E, (eds.)
2024 IEEE 12th International Conference on Serious Games and Applications for Health (SeGAH).
IEEE: Funchal, Portugal.
Preview |
Text
SeGAH_accepted.pdf - Accepted Version Download (3MB) | Preview |
Abstract
Mosquito surveillance is crucial for understanding the dynamics of mosquito populations, the implementation of public health programme aimed at controlling and preventing the spread of mosquito-borne diseases such as zika, chikungunya and dengue. Environmental surveillance agents, tasked with conducting routine entomological surveys in regions burdened with infective mosquitoes play an essential role in vector surveillance. Digital intervention, through mobile phone technology, offers the potential to augment mosquito surveillance efforts by overcoming the limitations inherent in traditional paper-based data collection methods. This public health informatics study introduces a multi-profile mobile application designed to enhance the process of data collection from mosquito ovitraps, ensure timely reporting, and improve field worker performance in Madeira Island, with an emphasis on user-centred design. The application seeks to boost operational efficiency for field agents and to streamline decision-making processes for health authorities. It explores the technical design, user experience, and architecture, alongside the challenges faced during implementation, including logistical hurdles during adaptation. Crucially, this research considers the varied on-groundchallenges encountered by agents, such as fears of data loss or errors in entry, which add complexity to the digital transition. The transition to a digitised data collection system is poised to have a significant impact which could facilitate the timely use of predictive analytical models to forecast mosquito population dynamics, enabling the early detection of hotspots. This, in turn, would allow fieldworker agents to be alerted to immediate action and direct their efforts to high-risk areas, significantly improving the efficiency of interventions against mosquito-borne diseases.
| Type: | Proceedings paper |
|---|---|
| Title: | Madeira Mosquito Surveillance App (MMSA): Leveraging Mobile Phone Apps for Enhanced Mosquito Surveillance |
| Event: | 2024 IEEE 12th International Conference on Serious Games and Applications for Health (SeGAH) |
| Location: | PORTUGAL, Madeira |
| Dates: | 7 Aug 2024 - 9 Aug 2024 |
| ISBN-13: | 979-8-3503-8439-0 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/SeGAH61285.2024.10639531 |
| Publisher version: | http://dx.doi.org/10.1109/segah61285.2024.10639531 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Surveillance, Data collection, Aerodynamics, Vectors, Real-time systems, Mobile handsets, User experience |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL SLASH UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Geography |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10200733 |
Loading...
Loading...Loading...| 1. |  United States | 13 |
| 2. |  United Kingdom | 7 |
| 3. |  China | 2 |
| 4. |  Thailand | 1 |
| 5. |  Mozambique | 1 |
| 6. |  Portugal | 1 |
| 7. |  Europe | 1 |
| 8. |  Bangladesh | 1 |
Archive Staff Only
 |
View Item |
