Project description
Μobile phone positioning to trace mosquito-borne diseases
Mosquito-borne diseases pose a significant socioeconomic burden on many countries around the world and increase social inequality. Despite research efforts, disease management is suboptimal, underscoring the need for a social science perspective and better disease models. Towards this goal, the EU-funded H-MIP project will employ mobile phone positioning and DNA fingerprinting alongside traditional socio-demographic methods to trace the flow of mosquito-borne diseases. The goal is to identify the behavioural, socio-demographic and environmental mechanisms shaping disease networks and improve dynamic models of diseases. This will improve current public health management policies as well as targeted interventions to minimise the risk of mosquito-borne diseases.
Objective
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.
Fields of science
- 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)
Topic(s)
Funding Scheme
ERC-STG - Starting GrantHost institution
08002 Barcelona
Spain