Matches in SemOpenAlex for { <https://semopenalex.org/work/W3132139487> ?p ?o ?g. }
- W3132139487 endingPage "105311" @default.
- W3132139487 startingPage "105311" @default.
- W3132139487 abstract "Foot-and-mouth disease (FMD) is a severe infectious disease in animal, which affects regional economies and food security of many countries. A total of 109 FMD outbreaks in China (from 2010 to 2019) were assessed. To investigate whether the FMD outbreaks were significantly aggregated in China, spatio-temporal cluster analysis was performed. A MaxEnt model was established to identify high risk areas for FMD in China and to identify relevant risk factors. As a result, both the FMD serotype A and O had one cluster each. Roads density, isothermality, UV-B seasonality and railways density were identified as important factors that affect the occurrence of FMD serotype A. The minimum temperature of the coldest month contributed most to FMD serotype O outbreak, followed by railways density and markets distribution. This study may provide useful information for decision makers for the tailoring of a risk-based surveillance of FMD in China." @default.
- W3132139487 created "2021-03-01" @default.
- W3132139487 creator A5017901151 @default.
- W3132139487 creator A5064998541 @default.
- W3132139487 date "2021-04-01" @default.
- W3132139487 modified "2023-10-16" @default.
- W3132139487 title "Spatial distribution and risk areas of foot and mouth disease in mainland China" @default.
- W3132139487 cites W1611166732 @default.
- W3132139487 cites W1667103125 @default.
- W3132139487 cites W1966013412 @default.
- W3132139487 cites W1990748933 @default.
- W3132139487 cites W1991370590 @default.
- W3132139487 cites W1991799414 @default.
- W3132139487 cites W2034439306 @default.
- W3132139487 cites W2037691295 @default.
- W3132139487 cites W2078849778 @default.
- W3132139487 cites W2088340842 @default.
- W3132139487 cites W2103738533 @default.
- W3132139487 cites W2109735604 @default.
- W3132139487 cites W2113081318 @default.
- W3132139487 cites W2119721623 @default.
- W3132139487 cites W2133129328 @default.
- W3132139487 cites W2139416101 @default.
- W3132139487 cites W2152795194 @default.
- W3132139487 cites W2163783671 @default.
- W3132139487 cites W2278826276 @default.
- W3132139487 cites W2354447363 @default.
- W3132139487 cites W2520832491 @default.
- W3132139487 cites W2616233624 @default.
- W3132139487 cites W2623517491 @default.
- W3132139487 cites W2753763746 @default.
- W3132139487 cites W2767099096 @default.
- W3132139487 cites W2774653752 @default.
- W3132139487 cites W2777875270 @default.
- W3132139487 cites W2896737943 @default.
- W3132139487 cites W2897400169 @default.
- W3132139487 cites W2913415358 @default.
- W3132139487 cites W2972740100 @default.
- W3132139487 cites W2979864190 @default.
- W3132139487 cites W2990316962 @default.
- W3132139487 cites W3006320613 @default.
- W3132139487 cites W3022692268 @default.
- W3132139487 doi "https://doi.org/10.1016/j.prevetmed.2021.105311" @default.
- W3132139487 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33652349" @default.
- W3132139487 hasPublicationYear "2021" @default.
- W3132139487 type Work @default.
- W3132139487 sameAs 3132139487 @default.
- W3132139487 citedByCount "14" @default.
- W3132139487 countsByYear W31321394872021 @default.
- W3132139487 countsByYear W31321394872022 @default.
- W3132139487 countsByYear W31321394872023 @default.
- W3132139487 crossrefType "journal-article" @default.
- W3132139487 hasAuthorship W3132139487A5017901151 @default.
- W3132139487 hasAuthorship W3132139487A5064998541 @default.
- W3132139487 hasConcept C10389963 @default.
- W3132139487 hasConcept C107029721 @default.
- W3132139487 hasConcept C110121322 @default.
- W3132139487 hasConcept C116675565 @default.
- W3132139487 hasConcept C134306372 @default.
- W3132139487 hasConcept C142724271 @default.
- W3132139487 hasConcept C144024400 @default.
- W3132139487 hasConcept C159047783 @default.
- W3132139487 hasConcept C164866538 @default.
- W3132139487 hasConcept C166957645 @default.
- W3132139487 hasConcept C191935318 @default.
- W3132139487 hasConcept C199360897 @default.
- W3132139487 hasConcept C205649164 @default.
- W3132139487 hasConcept C2776480101 @default.
- W3132139487 hasConcept C2779070877 @default.
- W3132139487 hasConcept C2779134260 @default.
- W3132139487 hasConcept C33923547 @default.
- W3132139487 hasConcept C41008148 @default.
- W3132139487 hasConcept C42972112 @default.
- W3132139487 hasConcept C45355965 @default.
- W3132139487 hasConcept C71924100 @default.
- W3132139487 hasConcept C99454951 @default.
- W3132139487 hasConceptScore W3132139487C10389963 @default.
- W3132139487 hasConceptScore W3132139487C107029721 @default.
- W3132139487 hasConceptScore W3132139487C110121322 @default.
- W3132139487 hasConceptScore W3132139487C116675565 @default.
- W3132139487 hasConceptScore W3132139487C134306372 @default.
- W3132139487 hasConceptScore W3132139487C142724271 @default.
- W3132139487 hasConceptScore W3132139487C144024400 @default.
- W3132139487 hasConceptScore W3132139487C159047783 @default.
- W3132139487 hasConceptScore W3132139487C164866538 @default.
- W3132139487 hasConceptScore W3132139487C166957645 @default.
- W3132139487 hasConceptScore W3132139487C191935318 @default.
- W3132139487 hasConceptScore W3132139487C199360897 @default.
- W3132139487 hasConceptScore W3132139487C205649164 @default.
- W3132139487 hasConceptScore W3132139487C2776480101 @default.
- W3132139487 hasConceptScore W3132139487C2779070877 @default.
- W3132139487 hasConceptScore W3132139487C2779134260 @default.
- W3132139487 hasConceptScore W3132139487C33923547 @default.
- W3132139487 hasConceptScore W3132139487C41008148 @default.
- W3132139487 hasConceptScore W3132139487C42972112 @default.
- W3132139487 hasConceptScore W3132139487C45355965 @default.
- W3132139487 hasConceptScore W3132139487C71924100 @default.
- W3132139487 hasConceptScore W3132139487C99454951 @default.