Heterogeneity of the Covid-19 Pandemic in the United States of America
A Geo-Epidemiological Perspective
Bibliographic Data
| ID | 22075065 |
|---|---|
| Authors | Alexandre Vallée (0000-0001-9158-4467, Hôpital Foch, corresponding author) |
| Year | 2022 |
| Volume | 10 |
| Pages | 818989-818989 |
| Publication date | 2022-01-26 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2022.818989 |
| PMID | 35155328 |
| OpenAlex | W4210245442 |
| Language | EN |
| Citations received | 4 |
| References cited | 46 |
The spread of the COVID-19 pandemic has shown great heterogeneity between regions of countries, e. g., in the United States of America (USA). With the growing of the worldwide COVID-19 pandemic, there is a need to better highlight the variability in the trajectory of this disease in different worldwide geographic areas. Indeed, the epidemic trends across areas can display completely different evolution at a given time. Geo-epidemiological analyses using data, that are publicly available, could be a major topic to help governments and public administrations to implement health policies. Geo-epidemiological analyses could provide a basis for the implementation of relevant public health policies. With the COVID-19 pandemic, geo-epidemiological analyses can be readily utilized by policy interventions and USA public health authorities to highlight geographic areas of particular concern and enhance the allocation of resources
Disease · Economic growth · Economics · Environmental health · Geography · Pandemic · Political science · Public health · Public policy · Computer Science · COVID-19 epidemiological studies · Data-Driven Disease Surveillance · Medicine · Zoonotic diseases and public health · Epidemiology
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| Citations per year | 1 |
|---|---|
| Citation span | 2022 - 2025 (4) |
| Highly cited | No |