Epidemiological characteristics and initial spatiotemporal visualisation of Covid-19 in a major city in the Middle East
Bibliographic Data
| ID | 15371306 |
|---|---|
| Authors | Shahab MohammadEbrahimi (0000-0002-1494-1544, Mashhad University of Medical Sciences), Alireza Mohammadi (0000-0002-3327-0942, University of Mohaghegh Ardabili, corresponding author), Robert Bergquist (0000-0002-0190-1084, World Health Organization), Fatemeh Dolatkhah (0000-0002-8342-6618, Mashhad University of Medical Sciences), Mahsa Olia (0000-0002-5013-7000, Shahid Sadoughi University of Medical Sciences and Health Services), Ayoub Tavakolian (0000-0002-4884-8524, Sabzevar University of Medical Sciences), Elahe Pishgar (0000-0001-7217-2598, Shahid Beheshti University), Behzad Kiani (0000-0002-8816-328X, Mashhad University of Medical Sciences, corresponding author) |
| Year | 2021 |
| Volume | 21 |
| Issue | 1 |
| Pages | 1373-1373 |
| Publication date | 2021-07-12 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | BMC Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1471-2458 • E-ISSN: 1471-2458 |
| Publisher | BioMed Central (PUBLISHER • GB) |
| DOI | 10.1186/s12889-021-11326-2 |
| PMID | 34247616 |
| OpenAlex | W3182121392 |
| Language | EN |
| Citations received | 3 |
| References cited | 65 |
Older adults and people with severe co-morbidities were at higher risk for developing serious complications due to COVID-19. Applying spatiotemporal methods to identify the transmission trends and high-risk areas can rapidly be documented, thereby assisting policymakers in designing and implementing tailored interventions to control and prevent not only COVID-19 but also other rapidly spreading epidemics/pandemics
2019-20 coronavirus outbreak · Biostatistics · Coronavirus disease 2019 (COVID-19 · Coronavirus Infections · Disease · Environmental health · Geography · Infectious disease (medical specialty · Middle East · Outbreak · Pandemic · Pathology · Public health · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · COVID-19 and healthcare impacts · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Medicine · Epidemiology · Virology
GeoDa
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| Unique citing works | 3 |
|---|---|
| Citations per year | 0.75 |
| Citation span | 2022 - 2023 (2) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 3 |