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
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.
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