A Systematic Review of Joint Spatial and Spatiotemporal Models in Health Research.

disease mapping geographic information system joint spatiotemporal analysis public health shared component models spatial analysis systematic review

Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
28 03 2023
Historique:
received: 16 01 2023
revised: 13 03 2023
accepted: 24 03 2023
medline: 14 4 2023
entrez: 13 4 2023
pubmed: 14 4 2023
Statut: epublish

Résumé

With the advancement of spatial analysis approaches, methodological research addressing the technical and statistical issues related to joint spatial and spatiotemporal models has increased. Despite the benefits of spatial modelling of several interrelated outcomes simultaneously, there has been no published systematic review on this topic, specifically when such models would be useful. This systematic review therefore aimed at reviewing health research published using joint spatial and spatiotemporal models. A systematic search of published studies that applied joint spatial and spatiotemporal models was performed using six electronic databases without geographic restriction. A search with the developed search terms yielded 4077 studies, from which 43 studies were included for the systematic review, including 15 studies focused on infectious diseases and 11 on cancer. Most of the studies (81.40%) were performed based on the Bayesian framework. Different joint spatial and spatiotemporal models were applied based on the nature of the data, population size, the incidence of outcomes, and assumptions. This review found that when the outcome is rare or the population is small, joint spatial and spatiotemporal models provide better performance by borrowing strength from related health outcomes which have a higher prevalence. A framework for the design, analysis, and reporting of such studies is also needed.

Identifiants

pubmed: 37047911
pii: ijerph20075295
doi: 10.3390/ijerph20075295
pmc: PMC10094468
pii:
doi:

Types de publication

Systematic Review Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Getayeneh Antehunegn Tesema (GA)

School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.
Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar 196, Ethiopia.

Zemenu Tadesse Tessema (ZT)

School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.
Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar 196, Ethiopia.

Stephane Heritier (S)

School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.

Rob G Stirling (RG)

Department of Respiratory Medicine, Alfred Health, Melbourne, VIC 3004, Australia.
Faculty of Medicine, Nursing and Health Sciences, Central Clinical School, Monash University, Melbourne, VIC 3004, Australia.

Arul Earnest (A)

School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.

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Classifications MeSH