Open AccessPredicting spatial and temporal responses to non-pharmaceutical interventions on COVID-19 growth rates across 58 counties in New York State: A prospective event-based modeling study on county-level sociological predictors (Preprint)
Author(s) -
Yunyu Xiao
Publication year - 2020
Publication title -
jmir public health and surveillance
Language(s) - English
Resource type - Journals
ISSN - 2369-2960
DOI - 10.2196/22578
Subject(s) - demography , socioeconomic status , psychological intervention , geography , outbreak , geospatial analysis , covid-19 , incidence (geometry) , medicine , cartography , population , sociology , mathematics , disease , geometry , pathology , virology , psychiatry , infectious disease (medical specialty)
Non-pharmaceutical interventions (NPIs) have been implemented in the New York State since the COVID-19 outbreak on March 1, 2020 to control the transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Socioeconomic heterogeneity across counties closely manifests differences in the post-NPIs growth rate of incidence, which is a crucial indicator to guide future infectious control policy making. Few studies, however, examined the geospatial and sociological variations in the epidemic growth across different time points of NPIs.