| Autor: |
Kushan Tharuka Lulbadda, Dhanushka Kobbekaduwa, Malika Lakmali Guruge |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Clinical Epidemiology and Global Health, Vol 9, Iss , Pp 231-236 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2213-3984 |
| DOI: |
10.1016/j.cegh.2020.09.004 |
| Popis: |
Objectives: This study aims to explore the association between the spread of COVID-19 and external parameters. In this regard, temperature, population size, median age, and health care facilities of 58 different countries are considered as external factors. Methods: A negative binomial regression model was fitted to identify the associations between the factors and cases of COVID-19 during the study periods. Results: The temperature, population size, and median age are positively associated with the spreading rate of COVID-19. There is no evidence supporting that case counts of COVID-19 could decline in countries with better health care facilities. Also, an empirical model was presented to estimate the number of cases within a country using the external parameters. Conclusions: It is impossible to express the change in the number of cases for a unit increase in each of the variables because a change in a single variable depends on different values of other variables. However, the findings of this study provide useful implications for the authorities and decision-makers to take specific precautionary measures. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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Full Text from ScienceDirect