Identifying Locations with Possible Undetected Imported Severe Acute Respiratory Syndrome Coronavirus 2 Cases by Using Importation Predictions.

Título

Identifying Locations with Possible Undetected Imported Severe Acute Respiratory Syndrome Coronavirus 2 Cases by Using Importation Predictions.

Autor

Pablo Martinez de Salazar, Rene Niehus, Marc Lipsitch, Aimee Taylor, Caroline O'Flaherty Buckee

Descripción

Cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection exported from mainland China could lead to self-sustained outbreaks in other countries. By February 2020, several countries were reporting imported SARS-CoV-2 cases. To contain the virus, early detection of imported SARS-CoV-2 cases is critical. We used air travel volume estimates from Wuhan, China, to international destinations and a generalized linear regression model to identify locations that could have undetected imported cases. Our model can be adjusted to account for exportation of cases from other locations as the virus spreads and more information on importations and transmission becomes available. Early detection and appropriate control measures can reduce the risk for transmission in all locations.

Fecha

2020

Materia

Outbreak, Pneumonia, Respiratory Infections, Viruses, Zoonoses, coronavirus, Travelers' health, SARS-CoV-2, COVID-19, Severe Acute Respiratory Syndrome Coronavirus 2, 2019 novel coronavirus disease

Identificador

DOI: 10.3201/eid2607.200250

Fuente

Emerging Infectious Diseases

Editor

Centers for Disease Control and Prevention

Archivos

https://socictopen.socict.org/files/to_import/pdfs/4964934.pdf

Colección

Citación

Pablo Martinez de Salazar, Rene Niehus, Marc Lipsitch, Aimee Taylor, Caroline O'Flaherty Buckee, “Identifying Locations with Possible Undetected Imported Severe Acute Respiratory Syndrome Coronavirus 2 Cases by Using Importation Predictions.,” SOCICT Open, consulta 18 de abril de 2026, https://www.socictopen.socict.org/items/show/2687.

Formatos de Salida

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