{"id":2270,"date":"2020-11-19T15:40:55","date_gmt":"2020-11-19T23:40:55","guid":{"rendered":"https:\/\/depts.washington.edu\/pandemicalliance\/?p=2270"},"modified":"2020-11-20T15:42:54","modified_gmt":"2020-11-20T23:42:54","slug":"predicting-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-so","status":"publish","type":"post","link":"https:\/\/depts.washington.edu\/pandemicalliance\/2020\/11\/19\/predicting-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-so\/","title":{"rendered":"Predicting 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"},"content":{"rendered":"<ul>\n<li>Analysis of county-level predictors over 16 time points in New York State showed that as COVID-19 incidence peaked in March and declined through June 2020, areas with the highest infection growth rates shifted from the New York metropolitan areas toward the western and northern areas. Counties with higher proportions of people age 45+ years, people living alone in residential houses, and crowded residential houses were associated with growing incidence.<\/li>\n<\/ul>\n<p>Xiao. (Nov 19, 2020). Predicting 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. JMIR Public Health and Surveillance. <a href=\"https:\/\/doi.org\/10.2196\/22578\">https:\/\/doi.org\/10.2196\/22578<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Analysis of county-level predictors over 16 time points in New York State showed that as COVID-19 incidence peaked in March and declined through June 2020, areas with the highest infection growth rates shifted from the New York metropolitan areas toward the western and northern areas. Counties with higher proportions of people age 45+ years, people&#8230;<\/p>\n<div><a class=\"more\" href=\"https:\/\/depts.washington.edu\/pandemicalliance\/2020\/11\/19\/predicting-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-so\/\">Read more<\/a><\/div>\n","protected":false},"author":5,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[6],"tags":[37],"topic":[24],"class_list":["post-2270","post","type-post","status-publish","format-standard","hentry","category-article-summary","tag-non-pharm-interventions","topic-geographic-spread"],"_links":{"self":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/2270","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/comments?post=2270"}],"version-history":[{"count":1,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/2270\/revisions"}],"predecessor-version":[{"id":2271,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/2270\/revisions\/2271"}],"wp:attachment":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/media?parent=2270"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/categories?post=2270"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/tags?post=2270"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/topic?post=2270"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}