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Identifying Locations with Possible Undetected Imported Severe Acute Respiratory Syndrome Coronavirus 2 Cases by Using Importation Predictions.
Emerg Infect Dis. 2020 07; 26(7):1465-1469.EI

Abstract

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.

Authors

No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, N.I.H., Extramural

Language

eng

PubMed ID

32207679

Citation

De Salazar, Pablo Martinez, et al. "Identifying Locations With Possible Undetected Imported Severe Acute Respiratory Syndrome Coronavirus 2 Cases By Using Importation Predictions." Emerging Infectious Diseases, vol. 26, no. 7, 2020, pp. 1465-1469.
De Salazar PM, Niehus R, Taylor A, et al. Identifying Locations with Possible Undetected Imported Severe Acute Respiratory Syndrome Coronavirus 2 Cases by Using Importation Predictions. Emerg Infect Dis. 2020;26(7):1465-1469.
De Salazar, P. M., Niehus, R., Taylor, A., Buckee, C. O., & Lipsitch, M. (2020). Identifying Locations with Possible Undetected Imported Severe Acute Respiratory Syndrome Coronavirus 2 Cases by Using Importation Predictions. Emerging Infectious Diseases, 26(7), 1465-1469. https://doi.org/10.3201/eid2607.200250
De Salazar PM, et al. Identifying Locations With Possible Undetected Imported Severe Acute Respiratory Syndrome Coronavirus 2 Cases By Using Importation Predictions. Emerg Infect Dis. 2020;26(7):1465-1469. PubMed PMID: 32207679.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Identifying Locations with Possible Undetected Imported Severe Acute Respiratory Syndrome Coronavirus 2 Cases by Using Importation Predictions. AU - De Salazar,Pablo Martinez, AU - Niehus,René, AU - Taylor,Aimee, AU - Buckee,Caroline O'Flaherty, AU - Lipsitch,Marc, Y1 - 2020/06/21/ PY - 2020/3/25/pubmed PY - 2020/7/1/medline PY - 2020/3/25/entrez KW - 2019 novel coronavirus disease KW - COVID-19 KW - SARS-CoV-2 KW - coronavirus KW - outbreak KW - pneumonia KW - respiratory infections KW - severe acute respiratory syndrome coronavirus 2 KW - travelers health KW - viruses KW - zoonoses SP - 1465 EP - 1469 JF - Emerging infectious diseases JO - Emerg Infect Dis VL - 26 IS - 7 N2 - 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. SN - 1080-6059 UR - https://www.unboundmedicine.com/medline/citation/32207679/Identifying_Locations_with_Possible_Undetected_Imported_Severe_Acute_Respiratory_Syndrome_Coronavirus_2_Cases_by_Using_Importation_Predictions_ L2 - https://doi.org/10.3201/eid2607.200250 DB - PRIME DP - Unbound Medicine ER -