Description du projet
Positionner le téléphone portable pour pister les maladies transmises par les moustiques
Les maladies transmises par les moustiques font peser une charge socioéconomique importante sur de nombreux pays du monde et accroissent les inégalités sociales. Malgré les efforts de recherche, la prise en charge des maladies n’est pas optimale, ce qui souligne la nécessité d’une perspective en sciences sociales et de meilleurs modèles de maladies. Pour atteindre cet objectif, le projet H-MIP, financé par l’UE, utilisera le positionnement des téléphones portables et les empreintes génétiques en parallèle avec des méthodes sociodémographiques traditionnelles pour suivre le flux des maladies transmises par les moustiques. L’objectif consiste à identifier les mécanismes comportementaux, sociodémographiques et environnementaux qui façonnent les réseaux de maladies et à améliorer les modèles dynamiques de maladies. Cela améliorera les politiques actuelles de gestion de santé publique ainsi que les interventions ciblées pour minimiser le risque de maladies transmises par les moustiques.
Objectif
This project will use mobile phone positioning, DNA fingerprinting, and citizen science, combined with traditional socio-demographic methods to trace the host-vector biting networks through which mosquito-borne diseases flow and illuminate the behavioural, socio-demographic, and environmental mechanisms that shape these networks in a spatially explicit manner. It will merge this ground-breaking data with existing datasets on population, urban structure, land cover, and climate, analysing it using network techniques, spatial models, and machine learning to test hypotheses about the determinants of these networks. The results will make it possible to improve dynamic models of mosquito-borne disease and recommend targeted policy interventions for reducing disease risk in Europe and around the world. In doing so, it will address the critical need for greater social science perspective iThis project will use citizen science, mobile phone geo-localization, genetic analysis, surveys, interviews, and cutting-edge modelling techniques to trace the host-vector contact networks through which mosquito-borne diseases flow, illuminate the mobility patterns and other behavioural mechanisms that shape these networks, and evaluate policy interventions aimed at reducing the risk of these diseases in urban and suburban settings. In doing so, it will address the critical need for greater social science perspective in mosquito-borne disease research, making it possible to improve disease models and public health management through a fuller understanding of the socio-ecological context driving dengue, chikungunya, Zika and other mosquito-borne diseases that place enormous burdens on society and exacerbate social inequality across the globe. It will draw on the the PI’s unique interdisciplinary background, straddling socio-demography, public policy, and disease ecology, and his pioneering work on citizen science in public health research and mobile phone tracking in demographic research.
Champ scientifique
- social sciencespolitical sciencespolitical policiespublic policies
- medical and health scienceshealth sciencespublic health
- social sciencessociologysocial issuessocial inequalities
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsmobile phones
- social sciencespolitical sciencespolitical policiescivil society
Programme(s)
Thème(s)
Régime de financement
ERC-STG - Starting GrantInstitution d’accueil
08002 Barcelona
Espagne