Show simple item record

dc.contributor.authorDe Salazar, PM, et al. Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
dc.date.accessioned2020-03-25T11:50:05Z
dc.date.available2020-03-25T11:50:05Z
dc.date.issued2020-03-24
dc.identifier.urihttps://doi.org/10.3201/eid2607.200250en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12663/798
dc.description.abstractCases 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.en_US
dc.languageEnglishen_US
dc.subjectSevere Acute Respiratory Syndrome (SARS)
dc.subjectCOVID-19
dc.subjectCoronavirus
dc.subjectSARS-CoV
dc.subjectInfectious Diseases
dc.subjectInternational Health Regulations
dc.subjectChina
dc.subjectTravelers' Health
dc.titleIdentifying Locations with Possible Undetected Imported Severe Acute Respiratory Syndrome Coronavirus 2 Cases by Using Importation Predictionsen_US
eihealth.countryUnited Statesen_US
eihealth.categoryEpidemiology and epidemiological studiesen_US
eihealth.typePublished Articleen_US
eihealth.maincategorySlow Spread / Reducir la Dispersiónen_US
dc.relation.ispartofjournalEmerg Infect Dis.en_US


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record