Desjardins, Michael R;
Murray, Emily T;
Baranyi, Gergő;
Hobbs, Matthew;
Curtis, Sarah;
(2023)
Improving longitudinal research in geospatial health: An agenda.
Health & Place
, 80
, Article 102994. 10.1016/j.healthplace.2023.102994.
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Abstract
All aspects of public health research require longitudinal analyses to fully capture the dynamics of outcomes and risk factors such as ageing, human mobility, non-communicable diseases (NCDs), climate change, and endemic, emerging, and re-emerging infectious diseases. Studies in geospatial health are often limited to spatial and temporal cross sections. This generates uncertainty in the exposures and behavior of study populations. We discuss a research agenda, including key challenges and opportunities of working with longitudinal geospatial health data. Examples include accounting for residential and human mobility, recruiting new birth cohorts, geoimputation, international and interdisciplinary collaborations, spatial lifecourse studies, and qualitative and mixed-methods approaches.
Type: | Article |
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Title: | Improving longitudinal research in geospatial health: An agenda |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.healthplace.2023.102994 |
Publisher version: | https://doi.org/10.1016/j.healthplace.2023.102994 |
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: | Longitudinal analysis, Health geography, Spatial epidemiology, Lifecourse epidemiology, Public health |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Epidemiology and Public Health |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10165330 |
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