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Estimating the effectiveness of shielding during pregnancy against SARS-CoV-2 in New York City during the first year of the COVID-19 pandemic
Siyu Chen; Elisabeth A Murphy; Angeline Pendergrass; Ashley C Sukhu; Dorothy Eng; Magdalena Jurkiewicz; Iman Mohammed; Sophie Rand; Lisa J White; Nathaniel Hupert; Yawei Jenny Yang.
Affiliation
  • Siyu Chen; University of Oxford
  • Elisabeth A Murphy; Weill Cornell Medicine
  • Angeline Pendergrass; Cornell University
  • Ashley C Sukhu; New York Presbyterian
  • Dorothy Eng; New York Presbyterian
  • Magdalena Jurkiewicz; Weill Cornell Medicine
  • Iman Mohammed; Weill Cornell Medicine
  • Sophie Rand; Weill Cornell Medicine
  • Lisa J White; Weill Cornell Medicine
  • Nathaniel Hupert; Weill Cornell Medicine
  • Yawei Jenny Yang; Weill Cornell Medicine
Preprint in English | medRxiv | ID: ppmedrxiv-22281049
ABSTRACT
Pregnant patients have increased morbidity and mortality in the setting of SARS-CoV-2 infection. The exposure of pregnant patients in New York City to SARS-CoV-2 is not well understood due to early lack of access to testing and the presence of asymptomatic COVID-19 infections. Before the availability of vaccinations, preventative (shielding) measures, including but not limited to wearing a mask and quarantining at home to limit contact, were recommended for pregnant patients. Using universal testing data from 2196 patients who gave birth from April through December 2020 from one institution in New York City, and in comparison, with infection data of the general population in New York City, we estimated the exposure and real-world effectiveness of shielding in pregnant patients. Our Bayesian model shows that patients already pregnant at the onset of the pandemic had a 50% decrease in exposure compared to those who became pregnant after the onset of the pandemic and to the general population.
License
cc_by_nc_nd
Full text: Available Collection: Preprints Database: medRxiv Type of study: Experimental_studies Language: English Year: 2022 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Experimental_studies Language: English Year: 2022 Document type: Preprint
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