دورية أكاديمية
Understanding COVID-19: comparison of spatio-temporal analysis methods used to study epidemic spread patterns in the United States
العنوان: | Understanding COVID-19: comparison of spatio-temporal analysis methods used to study epidemic spread patterns in the United States |
---|---|
المؤلفون: | Chunhui Liu, Xiaodi Su, Zhaoxuan Dong, Xingyu Liu, Chunxia Qiu |
المصدر: | Geospatial Health, Vol 18, Iss 1 (2023) |
بيانات النشر: | PAGEPress Publications, 2023. |
سنة النشر: | 2023 |
المجموعة: | LCC:Geography (General) |
مصطلحات موضوعية: | COVID-19, spatio-temporal feature analysis, IDW, spatiotemporal scan statistics, Bayesian spatio-temporal model, USA, Geography (General), G1-922 |
الوصف: | This article examines three spatiotemporal methods used for analyzing of infectious diseases, with a focus on COVID-19 in the United States. The methods considered include inverse distance weighting (IDW) interpolation, retrospective spatiotemporal scan statistics and Bayesian spatiotemporal models. The study covers a 12-month period from May 2020 to April 2021, including monthly data from 49 states or regions in the United States. The results show that the spread of COVID-19 pandemic increased rapidly to a high value in winter of 2020, followed by a brief decline that later reverted into another increase. Spatially, the COVID-19 epidemic in the United States exhibited a multi-centre, rapid spread character, with clustering areas represented by states such as New York, North Dakota, Texas and California. By demonstrating the applicability and limitations of different analytical tools in investigating the spatiotemporal dynamics of disease outbreaks, this study contributes to the broader field of epidemiology and helps improve strategies for responding to future major public health events. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 1827-1987 1970-7096 |
العلاقة: | https://geospatialhealth.net/index.php/gh/article/view/1200Test; https://doaj.org/toc/1827-1987Test; https://doaj.org/toc/1970-7096Test |
DOI: | 10.4081/gh.2023.1200 |
الوصول الحر: | https://doaj.org/article/79be83c3c08a4bfeb034cc332425ce33Test |
رقم الانضمام: | edsdoj.79be83c3c08a4bfeb034cc332425ce33 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 18271987 19707096 |
---|---|
DOI: | 10.4081/gh.2023.1200 |