Estimating the Impact of Statewide Policies to Reduce Spread of Severe Acute Respiratory Syndrome Coronavirus 2 in Real Time, Colorado, USA
| Autor: | jimi adams, Jude Bayham, Olivia Zarella, Meghan N. Buran, Rachel Herlihy, Andrea G. Buchwald, Elizabeth J. Carlton, David M. Bortz, Jonathan M. Samet, Kathryn L. Colborn, Debashis Ghosh |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Microbiology (medical)
medicine.medical_specialty Colorado Epidemiology Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) coronaviruses Disease Infectious and parasitic diseases RC109-216 medicine.disease_cause law.invention respiratory infections law Pandemic medicine Humans viruses Baseline (configuration management) Pandemics Coronavirus real time business.industry SARS-CoV-2 Public health Social distance Research social distancing COVID-19 infectious disease transmission mobility United States zoonoses Infectious Diseases Transmission (mechanics) Policy coronavirus disease Medicine business Estimating the Impact of Statewide Policies to Reduce Spread of Severe Acute Respiratory Syndrome Coronavirus 2 in Real Time Colorado USA mathematical models Demography severe acute respiratory syndrome coronavirus 2 |
| Zdroj: | Emerging Infectious Diseases Emerging Infectious Diseases, Vol 27, Iss 9, Pp 2312-2322 (2021) |
| ISSN: | 1080-6059 1080-6040 |
| Popis: | The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic necessitated rapid local public health response, but studies examining the impact of social distancing policies on SARS-CoV-2 transmission have struggled to capture regional-level dynamics. We developed a susceptible-exposed-infected-recovered transmission model, parameterized to Colorado, USAâspecific data, to estimate the impact of coronavirus diseaseârelated policy measures on mobility and SARS-CoV-2 transmission in real time. During MarchâJune 2020, we estimated unknown parameter values and generated scenario-based projections of future clinical care needs. Early coronavirus disease policy measures, including a stay-at-home order, were accompanied by substantial decreases in mobility and reduced the effective reproductive number well below 1. When some restrictions were eased in late April, mobility increased to near baseline levels, but transmission remained low (effective reproductive number |
| Databáze: | OpenAIRE |
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