FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4310249170> ?p ?o ?g. }

• W4310249170 abstract "This paper revisits the debate around the link between population density and the severity of COVID-19 spread in the USA. We do so by conducting an empirical analysis based on graphical evidence, regression analysis and instrumental variable strategies borrowed from the agglomeration literature. Studying the period between the start of the epidemic and the beginning of the vaccination campaign at the end of 2020, we find that the cross-sectional relationship between density and COVID-19 deaths changed as the year evolved. Initially, denser counties experienced more COVID-19 deaths. Yet, by December, the relationship between COVID deaths and urban density was completely flat. This is consistent with evidence indicating density affected the timing of the outbreak-with denser locations more likely to have an early outbreak-yet had no influence on time-adjusted COVID-19 cases and deaths. Using data from Google, Facebook, the US Census and other sources, we investigate potential mechanisms behind these findings." @default.
• W4310249170 created "2022-11-30" @default.
• W4310249170 creator A5017353566 @default.
• W4310249170 creator A5034536241 @default.
• W4310249170 creator A5055884081 @default.
• W4310249170 date "2022-11-28" @default.
• W4310249170 modified "2023-10-05" @default.
• W4310249170 title "Urban density and COVID-19: understanding the US experience" @default.
• W4310249170 cites W1479713626 @default.
• W4310249170 cites W1583734310 @default.
• W4310249170 cites W1924499587 @default.
• W4310249170 cites W2000192806 @default.
• W4310249170 cites W2037844075 @default.
• W4310249170 cites W2065069831 @default.
• W4310249170 cites W2090164911 @default.
• W4310249170 cites W2146985262 @default.
• W4310249170 cites W2887089210 @default.
• W4310249170 cites W2899322254 @default.
• W4310249170 cites W2960549172 @default.
• W4310249170 cites W3009885589 @default.
• W4310249170 cites W3015474178 @default.
• W4310249170 cites W3015740662 @default.
• W4310249170 cites W3016427142 @default.
• W4310249170 cites W3016993957 @default.
• W4310249170 cites W3018408778 @default.
• W4310249170 cites W3019015634 @default.
• W4310249170 cites W3027676305 @default.
• W4310249170 cites W3032962362 @default.
• W4310249170 cites W3034590454 @default.
• W4310249170 cites W3034911428 @default.
• W4310249170 cites W3036107358 @default.
• W4310249170 cites W3082103495 @default.
• W4310249170 cites W3092679561 @default.
• W4310249170 cites W3092708851 @default.
• W4310249170 cites W3094586281 @default.
• W4310249170 cites W3095349481 @default.
• W4310249170 cites W3095870552 @default.
• W4310249170 cites W3099182428 @default.
• W4310249170 cites W3122342076 @default.
• W4310249170 cites W3122671518 @default.
• W4310249170 cites W3125070302 @default.
• W4310249170 cites W3125816847 @default.
• W4310249170 cites W3126789700 @default.
• W4310249170 cites W3134615276 @default.
• W4310249170 cites W3161539687 @default.
• W4310249170 cites W3167928015 @default.
• W4310249170 cites W3170225441 @default.
• W4310249170 cites W3170985760 @default.
• W4310249170 cites W3171587621 @default.
• W4310249170 cites W3213800059 @default.
• W4310249170 cites W4224300544 @default.
• W4310249170 cites W4229034567 @default.
• W4310249170 cites W4248863881 @default.
• W4310249170 cites W4250401101 @default.
• W4310249170 cites W4252337395 @default.
• W4310249170 cites W3112202882 @default.
• W4310249170 doi "https://doi.org/10.1007/s00168-022-01193-z" @default.
• W4310249170 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36465997" @default.
• W4310249170 hasPublicationYear "2022" @default.
• W4310249170 type Work @default.
• W4310249170 citedByCount "9" @default.
• W4310249170 countsByYear W43102491702021 @default.
• W4310249170 countsByYear W43102491702022 @default.
• W4310249170 countsByYear W43102491702023 @default.
• W4310249170 crossrefType "journal-article" @default.
• W4310249170 hasAuthorship W4310249170A5017353566 @default.
• W4310249170 hasAuthorship W4310249170A5034536241 @default.
• W4310249170 hasAuthorship W4310249170A5055884081 @default.
• W4310249170 hasBestOaLocation W43102491701 @default.
• W4310249170 hasConcept C116675565 @default.
• W4310249170 hasConcept C142724271 @default.
• W4310249170 hasConcept C144024400 @default.
• W4310249170 hasConcept C149923435 @default.
• W4310249170 hasConcept C159047783 @default.
• W4310249170 hasConcept C199733313 @default.
• W4310249170 hasConcept C205649164 @default.
• W4310249170 hasConcept C26271046 @default.
• W4310249170 hasConcept C2779134260 @default.
• W4310249170 hasConcept C2908647359 @default.
• W4310249170 hasConcept C3006700255 @default.
• W4310249170 hasConcept C3007834351 @default.
• W4310249170 hasConcept C3008058167 @default.
• W4310249170 hasConcept C52130261 @default.
• W4310249170 hasConcept C524204448 @default.
• W4310249170 hasConcept C71924100 @default.
• W4310249170 hasConceptScore W4310249170C116675565 @default.
• W4310249170 hasConceptScore W4310249170C142724271 @default.
• W4310249170 hasConceptScore W4310249170C144024400 @default.
• W4310249170 hasConceptScore W4310249170C149923435 @default.
• W4310249170 hasConceptScore W4310249170C159047783 @default.
• W4310249170 hasConceptScore W4310249170C199733313 @default.
• W4310249170 hasConceptScore W4310249170C205649164 @default.
• W4310249170 hasConceptScore W4310249170C26271046 @default.
• W4310249170 hasConceptScore W4310249170C2779134260 @default.
• W4310249170 hasConceptScore W4310249170C2908647359 @default.
• W4310249170 hasConceptScore W4310249170C3006700255 @default.
• W4310249170 hasConceptScore W4310249170C3007834351 @default.
• W4310249170 hasConceptScore W4310249170C3008058167 @default.
• W4310249170 hasConceptScore W4310249170C52130261 @default.
• W4310249170 hasConceptScore W4310249170C524204448 @default.

• next