Spatial and spatio-temporal epidemiological approaches to inform COVID-19 surveillance and control: a review protocol
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 tar...
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| Format: | Article |
| Language: | English |
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BMC
2022-07-01
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| Series: | Systematic Reviews |
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| Online Access: | https://doi.org/10.1186/s13643-022-02016-0 |
| _version_ | 1811293587635175424 |
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| author | Julius Nyerere Odhiambo Carrie B. Dolan |
| author_facet | Julius Nyerere Odhiambo Carrie B. Dolan |
| author_sort | Julius Nyerere Odhiambo |
| collection | DOAJ |
| description | 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. Systematic review registration CRD42021279767 |
| first_indexed | 2024-04-13T05:03:39Z |
| format | Article |
| id | doaj.art-9dca0d6424434d399d2758f9ae73b187 |
| institution | Directory Open Access Journal |
| issn | 2046-4053 |
| language | English |
| last_indexed | 2024-04-13T05:03:39Z |
| publishDate | 2022-07-01 |
| publisher | BMC |
| record_format | Article |
| series | Systematic Reviews |
| spelling | doaj.art-9dca0d6424434d399d2758f9ae73b1872022-12-22T03:01:14ZengBMCSystematic Reviews2046-40532022-07-011111610.1186/s13643-022-02016-0Spatial and spatio-temporal epidemiological approaches to inform COVID-19 surveillance and control: a review protocolJulius Nyerere Odhiambo0Carrie B. Dolan1Ignite Global Health Research Lab, Global Research Institute, William and MaryIgnite Global Health Research Lab, Global Research Institute, William and MaryAbstract 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. Systematic review registration CRD42021279767https://doi.org/10.1186/s13643-022-02016-0SpatialSpatio-temporalGeospatial modelingCOVID-19Africa |
| spellingShingle | Julius Nyerere Odhiambo Carrie B. Dolan Spatial and spatio-temporal epidemiological approaches to inform COVID-19 surveillance and control: a review protocol Systematic Reviews Spatial Spatio-temporal Geospatial modeling COVID-19 Africa |
| title | Spatial and spatio-temporal epidemiological approaches to inform COVID-19 surveillance and control: a review protocol |
| title_full | Spatial and spatio-temporal epidemiological approaches to inform COVID-19 surveillance and control: a review protocol |
| title_fullStr | Spatial and spatio-temporal epidemiological approaches to inform COVID-19 surveillance and control: a review protocol |
| title_full_unstemmed | Spatial and spatio-temporal epidemiological approaches to inform COVID-19 surveillance and control: a review protocol |
| title_short | Spatial and spatio-temporal epidemiological approaches to inform COVID-19 surveillance and control: a review protocol |
| title_sort | spatial and spatio temporal epidemiological approaches to inform covid 19 surveillance and control a review protocol |
| topic | Spatial Spatio-temporal Geospatial modeling COVID-19 Africa |
| url | https://doi.org/10.1186/s13643-022-02016-0 |
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