Document Type
Article
Department/Program
Kinesiology & Health Sciences
Journal Title
Systematic Reviews
Pub Date
7-14-2022
Volume
11
Issue
141
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Abstract
Introduction
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection that cause coronavirus disease 2019 (COVID-19) have afflicted millions worldwide. Understanding the underlying spatial and temporal dynamics can help orient timely public health policies and optimize the targeting of non-pharmaceutical interventions and vaccines to the most vulnerable populations, particularly in resource-constrained settings. The review systematically summarises important methodological aspects and specificities of spatial approaches applied to COVID-19 in Africa.
Methods
Thematically selected keywords will be used to search for refereed studies in the following electronic databases PubMed, SCOPUS, MEDLINE, CINHAL, and Coronavirus Research Database from January 2020 to February 2022. Two independent reviewers will screen the title, abstracts, and full texts against predefined eligibility criteria based on the study’s characteristics, methodological relevance, and quality. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) 2020 procedures will be adhered to during the reporting process.
Discussion
COVID-19 modeling remains in its infancy, and research is needed to characterize uncertainty and validate various modeling regimes appropriately. It is anticipated that the review will aid spatial, spatio-temporal modeling decisions necessary for mitigating the current and future pandemics.
Recommended Citation
Odhiambo, Julius Nyerere, and Carrie B. Dolan. "Spatial and spatio-temporal epidemiological approaches to inform COVID-19 surveillance and control: a review protocol." Systematic reviews 11, no. 1 (2022): 1-6. https://doi.org/10.1186/s13643-022-02016-0
DOI
https://doi.org/10.1186/s13643-022-02016-0
