Open AccessIdentifying Areas at Greatest Risk for Recent Zika Virus Importation — New York City, 2016
Author(s) -
Sharon K. Greene,
Sungwoo Lim,
Anne Fine
Publication year - 2018
Publication title -
plos currents
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.282
H-Index - 49
ISSN - 2157-3999
DOI - 10.1371/currents.outbreaks.00dd49d24b62731f87f12b0e657aa04c
Subject(s) - census , context (archaeology) , demography , logistic regression , decile , covariate , medicine , geography , statistics , zika virus , receiver operating characteristic , environmental health , population , mathematics , virology , virus , archaeology , sociology
The New York City Department of Health and Mental Hygiene sought to detect and minimize the risk of local, mosquito-borne Zika virus (ZIKV) transmission. We modeled areas at greatest risk for recent ZIKV importation, in the context of spatially biased ZIKV case ascertainment and no data on the local spatial distribution of persons arriving from ZIKV-affected countries.