The effect of state-level stay-at-home orders on COVID-19 infection rates - 25/07/20
, Elena D. Staguhn, BS, Elias Weston-Farber, BS
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Highlights |
• | We examined the effect of state-level stay-at-home orders on COVID-19 diagnoses. |
• | Rates of confirmed cases were tracked before and after orders were put in place. |
• | Logged infection rates were 0.113/day preorder and 0.047/day postorder. |
• | Results were consistent across states supporting the use of stay-at-home orders. |
Résumé |
State-level stay-at-home orders were monitored to determine their effect on the rate of confirmed COVID-19 diagnoses. Confirmed cases were tracked before and after state-level stay-at-home orders were put in place. Linear regression techniques were used to determine slopes for log case count data, and meta analyses were conducted to combine data across states. The results were remarkably consistent across states and support the usefulness of stay-at-home orders in reducing COVID-19 infection rates.
Le texte complet de cet article est disponible en PDF.Key Words : Coronavirus, Nonpharmaceutical intervention, Epidemiology
Plan
| Conflict of Interest: None of the contributing authors have a conflict of interest to declare. |
Vol 48 - N° 8
P. 958-960 - août 2020 Retour au numéro
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