Improving longitudinal research in geospatial health: An agenda

Michael R. Desjardins; Emily T. Murray; Gergő Baranyi; Matthew Hobbs; Sarah Curtis

doi:10.1016/j.healthplace.2023.102994

Improving longitudinal research in geospatial health: An agenda

Michael R. Desjardins, Emily T. Murray, Gergő Baranyi, Matthew Hobbs, Sarah Curtis

Bloomberg School of Public Health

Research output: Contribution to journal › Article › peer-review

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.

Original language	English (US)
Article number	102994
Journal	Health and Place
Volume	80
DOIs	https://doi.org/10.1016/j.healthplace.2023.102994
State	Published - Mar 2023

Keywords

Health geography
Lifecourse epidemiology
Longitudinal analysis
Public health
Spatial epidemiology

ASJC Scopus subject areas

Health(social science)
Life-span and Life-course Studies
Sociology and Political Science

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10.1016/j.healthplace.2023.102994

Cite this

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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.",

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AU - Hobbs, Matthew

AU - Curtis, Sarah

PY - 2023/3

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AB - 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.

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KW - Lifecourse epidemiology

KW - Longitudinal analysis

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KW - Spatial epidemiology

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Improving longitudinal research in geospatial health: An agenda

Abstract

Keywords

ASJC Scopus subject areas

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