Ignite Global Health Research Lab, Global Research Institute, William and Mary, Williamsburg, VA, USA.
Department of Health Sciences, William and Mary, Williamsburg, VA, USA.
Syst Rev. 2022 Jul 14;11(1):141. doi: 10.1186/s13643-022-02016-0.
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.
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.
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.
CRD42021279767.
严重急性呼吸系统综合征冠状病毒 2（SARS-CoV-2）感染导致 2019 年冠状病毒病（COVID-19），在全球范围内影响了数百万人。了解其潜在的时空动态有助于确定及时的公共卫生政策，并优化非药物干预和疫苗针对最脆弱人群的靶向性，尤其是在资源有限的环境下。本综述系统总结了应用于非洲 COVID-19 的空间方法的重要方法学方面和特殊性。
将使用主题选择的关键词在以下电子数据库中搜索 2020 年 1 月至 2022 年 2 月的同行评审研究：PubMed、SCOPUS、MEDLINE、CINHAL 和冠状病毒研究数据库。两名独立的综述作者将根据研究的特征、方法学相关性和质量，对照预先设定的纳入标准筛选标题、摘要和全文。在报告过程中，将遵循系统评价和荟萃分析的首选报告项目（PRISMA）2020 程序。
COVID-19 建模仍处于起步阶段，需要研究以描述不确定性并适当验证各种建模方案。预计该综述将有助于进行空间和时空建模决策，以减轻当前和未来的大流行。
CRD42021279767。
