eprintid: 10200733 rev_number: 10 eprint_status: archive userid: 699 dir: disk0/10/20/07/33 datestamp: 2024-11-27 10:07:24 lastmod: 2024-11-27 10:07:24 status_changed: 2024-11-27 10:07:24 type: proceedings_section metadata_visibility: show sword_depositor: 699 creators_name: Aldosery, A creators_name: Musah, A creators_name: De Gouveia, BO creators_name: Kostkova, P title: Madeira Mosquito Surveillance App (MMSA): Leveraging Mobile Phone Apps for Enhanced Mosquito Surveillance ispublished: pub divisions: UCL divisions: B04 divisions: B03 divisions: C06 divisions: C03 divisions: F26 keywords: Surveillance, Data collection, Aerodynamics, Vectors, Real-time systems, Mobile handsets, User experience note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. 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. date: 2024-08-26 date_type: published publisher: IEEE official_url: http://dx.doi.org/10.1109/segah61285.2024.10639531 oa_status: green full_text_type: other language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 2319518 doi: 10.1109/SeGAH61285.2024.10639531 isbn_13: 979-8-3503-8439-0 lyricists_name: Kostkova, Patricie lyricists_name: Musah, Anwar lyricists_name: Aldosery, Aisha lyricists_id: PKOST97 lyricists_id: AMUSA82 lyricists_id: AAMAL33 actors_name: Aldosery, Aisha actors_id: AAMAL33 actors_role: owner full_text_status: public pres_type: paper series: IEEE International Conference on Serious Games and Applications for Health publication: SeGAH 2024 - 2024 IEEE 12th International Conference on Serious Games and Applications for Health place_of_pub: Funchal, Portugal pages: 8 event_title: 2024 IEEE 12th International Conference on Serious Games and Applications for Health (SeGAH) event_location: PORTUGAL, Madeira event_dates: 7 Aug 2024 - 9 Aug 2024 issn: 2330-5649 book_title: 2024 IEEE 12th International Conference on Serious Games and Applications for Health (SeGAH) editors_name: Rodrigues, N editors_name: Badia, SBI editors_name: Vilaca, JL editors_name: Duque, D editors_name: Cameirao, MD editors_name: Dias, N editors_name: Oliveira, E citation: 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. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10200733/2/SeGAH_accepted.pdf