Back to Search
Start Over
Forecasting the impact of coronavirus disease during delivery hospitalization: an aid for resource utilization.
- Source :
-
American journal of obstetrics & gynecology MFM [Am J Obstet Gynecol MFM] 2020 Aug; Vol. 2 (3), pp. 100127. Date of Electronic Publication: 2020 Apr 25. - Publication Year :
- 2020
-
Abstract
- Background: The ongoing coronavirus disease 2019 pandemic has severely affected the United States. During infectious disease outbreaks, forecasting models are often developed to inform resource utilization. Pregnancy and delivery pose unique challenges, given the altered maternal immune system and the fact that most American women choose to deliver in the hospital setting.<br />Objective: This study aimed to forecast the first pandemic wave of coronavirus disease 2019 in the general population and the incidence of severe, critical, and fatal coronavirus disease 2019 cases during delivery hospitalization in the United States.<br />Study Design: We used a phenomenological model to forecast the incidence of the first wave of coronavirus disease 2019 in the United States. Incidence data from March 1, 2020, to April 14, 2020, were used to calibrate the generalized logistic growth model. Subsequently, Monte Carlo simulation was performed for each week from March 1, 2020, to estimate the incidence of coronavirus disease 2019 for delivery hospitalizations during the first pandemic wave using the available data estimate.<br />Results: From March 1, 2020, our model forecasted a total of 860,475 cases of coronavirus disease 2019 in the general population across the United States for the first pandemic wave. The cumulative incidence of coronavirus disease 2019 during delivery hospitalization is anticipated to be 16,601 (95% confidence interval, 9711-23,491) cases, 3308 (95% confidence interval, 1755-4861) cases of which are expected to be severe, 681 (95% confidence interval, 1324-1038) critical, and 52 (95% confidence interval, 23-81) fatal. Assuming similar baseline maternal mortality rate as the year 2018, we projected an increase in maternal mortality rate in the United States to at least 18.7 (95% confidence interval, 18.0-19.5) deaths per 100,000 live births as a direct result of coronavirus disease 2019.<br />Conclusion: Coronavirus disease 2019 in pregnant women is expected to severely affect obstetrical care. From March 1, 2020, we forecast 3308 severe and 681 critical cases with about 52 coronavirus disease 2019-related maternal mortalities during delivery hospitalization for the first pandemic wave in the United States. These results are significant for informing counseling and resource allocation.<br /> (© 2020 Elsevier Inc. All rights reserved.)
- Subjects :
- Adult
Female
Forecasting
Humans
Incidence
Maternal Mortality trends
Monte Carlo Method
Patient Acceptance of Health Care
Pregnancy
SARS-CoV-2
United States epidemiology
COVID-19 epidemiology
COVID-19 prevention & control
Delivery, Obstetric methods
Delivery, Obstetric statistics & numerical data
Delivery, Obstetric trends
Health Care Rationing methods
Health Care Rationing trends
Hospitalization statistics & numerical data
Hospitalization trends
Obstetrics organization & administration
Obstetrics statistics & numerical data
Obstetrics trends
Pregnancy Complications, Infectious epidemiology
Pregnancy Complications, Infectious prevention & control
Resource Allocation methods
Resource Allocation trends
Subjects
Details
- Language :
- English
- ISSN :
- 2589-9333
- Volume :
- 2
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- American journal of obstetrics & gynecology MFM
- Publication Type :
- Academic Journal
- Accession number :
- 32342041
- Full Text :
- https://doi.org/10.1016/j.ajogmf.2020.100127