Forecasting COVID-19 Hospital Census: A Multivariate Time-Series Model Based on Local Infection Incidence
BackgroundCOVID-19 has been one of the most serious global health crises in world history. During the pandemic, health care systems require accurate forecasts for key resources to guide preparation for patient surges. Forecasting the COVID-19 hospital census is among the most...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2021-08-01
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| Series: | JMIR Public Health and Surveillance |
| Online Access: | https://publichealth.jmir.org/2021/8/e28195 |