Matches in SemOpenAlex for { <https://semopenalex.org/work/W4205280450> ?p ?o ?g. }
- W4205280450 abstract "Spatiotemporal modelling of infectious diseases such as coronavirus disease 2019 (COVID-19) involves using a variety of epidemiological metrics such as regional proportion of cases and/or regional positivity rates. Although observing changes of these indices over time is critical to estimate the regional disease burden, the dynamical properties of these measures, as well as crossrelationships, are usually not systematically given or explained. Here we provide a spatiotemporal framework composed of six commonly used and newly constructed epidemiological metrics and conduct a case study evaluation. We introduce a refined risk estimate that is biased neither by variation in population size nor by the spatial heterogeneity of testing. In particular, the proposed methodology would be useful for unbiased identification of time periods with elevated COVID-19 risk without sensitivity to spatial heterogeneity of neither population nor testing coverage.We offer a case study in Poland that shows improvement over the bias of currently used methods. Our results also provide insights regarding regional prioritisation of testing and the consequences of potential synchronisation of epidemics between regions. The approach should apply to other infectious diseases and other geographical areas." @default.
- W4205280450 created "2022-01-26" @default.
- W4205280450 creator A5000740131 @default.
- W4205280450 creator A5002861026 @default.
- W4205280450 creator A5027284198 @default.
- W4205280450 creator A5040442738 @default.
- W4205280450 creator A5062423139 @default.
- W4205280450 creator A5067079399 @default.
- W4205280450 creator A5089052045 @default.
- W4205280450 date "2022-01-14" @default.
- W4205280450 modified "2023-10-01" @default.
- W4205280450 title "Reducing bias in risk indices for COVID-19" @default.
- W4205280450 cites W1549716303 @default.
- W4205280450 cites W2016674662 @default.
- W4205280450 cites W2052611179 @default.
- W4205280450 cites W2128599926 @default.
- W4205280450 cites W2156349196 @default.
- W4205280450 cites W2478338686 @default.
- W4205280450 cites W2801687149 @default.
- W4205280450 cites W2804233742 @default.
- W4205280450 cites W2894751401 @default.
- W4205280450 cites W2904514348 @default.
- W4205280450 cites W3008696669 @default.
- W4205280450 cites W3010131837 @default.
- W4205280450 cites W3012284084 @default.
- W4205280450 cites W3014667363 @default.
- W4205280450 cites W3014680059 @default.
- W4205280450 cites W3014778362 @default.
- W4205280450 cites W3015460309 @default.
- W4205280450 cites W3016200652 @default.
- W4205280450 cites W3016972386 @default.
- W4205280450 cites W3018303981 @default.
- W4205280450 cites W3018691224 @default.
- W4205280450 cites W3019445951 @default.
- W4205280450 cites W3019643748 @default.
- W4205280450 cites W3020001547 @default.
- W4205280450 cites W3025195557 @default.
- W4205280450 cites W3026587320 @default.
- W4205280450 cites W3030051221 @default.
- W4205280450 cites W3033503930 @default.
- W4205280450 cites W3034119728 @default.
- W4205280450 cites W3034590454 @default.
- W4205280450 cites W3035035302 @default.
- W4205280450 cites W3035468097 @default.
- W4205280450 cites W3036656409 @default.
- W4205280450 cites W3037259757 @default.
- W4205280450 cites W3037420717 @default.
- W4205280450 cites W3037582125 @default.
- W4205280450 cites W3080785764 @default.
- W4205280450 cites W3102940901 @default.
- W4205280450 cites W3124568063 @default.
- W4205280450 cites W4233363311 @default.
- W4205280450 cites W4254687493 @default.
- W4205280450 doi "https://doi.org/10.4081/gh.2022.1013" @default.
- W4205280450 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35147012" @default.
- W4205280450 hasPublicationYear "2022" @default.
- W4205280450 type Work @default.
- W4205280450 citedByCount "1" @default.
- W4205280450 countsByYear W42052804502022 @default.
- W4205280450 crossrefType "journal-article" @default.
- W4205280450 hasAuthorship W4205280450A5000740131 @default.
- W4205280450 hasAuthorship W4205280450A5002861026 @default.
- W4205280450 hasAuthorship W4205280450A5027284198 @default.
- W4205280450 hasAuthorship W4205280450A5040442738 @default.
- W4205280450 hasAuthorship W4205280450A5062423139 @default.
- W4205280450 hasAuthorship W4205280450A5067079399 @default.
- W4205280450 hasAuthorship W4205280450A5089052045 @default.
- W4205280450 hasBestOaLocation W42052804501 @default.
- W4205280450 hasConcept C105795698 @default.
- W4205280450 hasConcept C107130276 @default.
- W4205280450 hasConcept C116675565 @default.
- W4205280450 hasConcept C116834253 @default.
- W4205280450 hasConcept C12174686 @default.
- W4205280450 hasConcept C126322002 @default.
- W4205280450 hasConcept C142724271 @default.
- W4205280450 hasConcept C149782125 @default.
- W4205280450 hasConcept C159047783 @default.
- W4205280450 hasConcept C169733012 @default.
- W4205280450 hasConcept C180478619 @default.
- W4205280450 hasConcept C186744025 @default.
- W4205280450 hasConcept C18903297 @default.
- W4205280450 hasConcept C205649164 @default.
- W4205280450 hasConcept C2779134260 @default.
- W4205280450 hasConcept C2908647359 @default.
- W4205280450 hasConcept C3006700255 @default.
- W4205280450 hasConcept C3007834351 @default.
- W4205280450 hasConcept C3008058167 @default.
- W4205280450 hasConcept C33923547 @default.
- W4205280450 hasConcept C38652104 @default.
- W4205280450 hasConcept C41008148 @default.
- W4205280450 hasConcept C524204448 @default.
- W4205280450 hasConcept C71924100 @default.
- W4205280450 hasConcept C86803240 @default.
- W4205280450 hasConcept C99454951 @default.
- W4205280450 hasConceptScore W4205280450C105795698 @default.
- W4205280450 hasConceptScore W4205280450C107130276 @default.
- W4205280450 hasConceptScore W4205280450C116675565 @default.
- W4205280450 hasConceptScore W4205280450C116834253 @default.
- W4205280450 hasConceptScore W4205280450C12174686 @default.
- W4205280450 hasConceptScore W4205280450C126322002 @default.