Matches in SemOpenAlex for { <https://semopenalex.org/work/W3173354266> ?p ?o ?g. }
- W3173354266 endingPage "105962" @default.
- W3173354266 startingPage "105962" @default.
- W3173354266 abstract "The novel Coronavirus disease 2019 (2019-nCoV) outbreak, caused by severe acute respiratory syndrome Coronavirus-2 (SARS-CoV-2), has become the worst serious global risk to humanity in the last century and linked with various risk factors.To find out the risk zone associated with Coronavirus disease among children under-five age using malnourished status, pre-existing morbidity conditions, poor household environmental conditions, and also with case fatality rate (CFR) and active case rate (ACR) of COVID-19 in India.Data was collected from the 4th round of the National Family Health Survey (NFHS)-4, 2015-16, and CFR and ACR of COVID-19 related data collected from the Ministry of Health and Family Welfare (MoHFW) on 18th May 2020. Mean, standard deviation, and Z-score statistical methods have been employed to identify the risk factors zone and Hot Spot analysis (Getis-Ord Gi) has been done.The states and union territories (UTs) which have a high composite vulnerability score (CVS) of COVID-19 among under-five children are in Meghalaya (CVS = 1), Uttar Pradesh (CVS = 0.93), Jharkhand (CVS = 0.86), Bihar (CVS = 0.74), Madhya Pradesh (CVS = 0.74), and Odisha (CVS = 0.55). The states and UTs which have low composite vulnerability score of COVID-19 among under-five children are in Sikkim (CVS = -0.90), Daman & Diu (CVS = -0.76) Lakshadweep (CVS = -0.74), Kerala (CVS = -0.72), Chandigarh (CVS = -0.71). The COVID-19 high-risk zones (hot spot: 99% Confidence interval [CI]) were observed in Madhya Pradesh, Uttar Pradesh, Jharkhand, Bihar, and Meghalaya states of India, which are spatially high clustered and the low-risk zones (cold spot: 95% CI) were observed in Kerala, Mizoram states of India.Well-built public health measures, including rapidly searching in high focus areas and testing of COVID-19, should be performed in vulnerable regions of COVID-19." @default.
- W3173354266 created "2021-07-05" @default.
- W3173354266 creator A5018450563 @default.
- W3173354266 creator A5077419386 @default.
- W3173354266 date "2021-09-01" @default.
- W3173354266 modified "2023-09-27" @default.
- W3173354266 title "Do malnutrition, pre-existing morbidities, and poor household environmental conditions aggravate susceptibility to Coronavirus disease (COVID-19)? A study on under-five children in India" @default.
- W3173354266 cites W1578457266 @default.
- W3173354266 cites W1845799850 @default.
- W3173354266 cites W1973855283 @default.
- W3173354266 cites W2039424710 @default.
- W3173354266 cites W2060081270 @default.
- W3173354266 cites W2060213968 @default.
- W3173354266 cites W2124327916 @default.
- W3173354266 cites W2159888095 @default.
- W3173354266 cites W2161489285 @default.
- W3173354266 cites W2168301383 @default.
- W3173354266 cites W2313852287 @default.
- W3173354266 cites W2507240537 @default.
- W3173354266 cites W2751720941 @default.
- W3173354266 cites W2766461820 @default.
- W3173354266 cites W2793197277 @default.
- W3173354266 cites W2805479712 @default.
- W3173354266 cites W2884618293 @default.
- W3173354266 cites W2913861529 @default.
- W3173354266 cites W2973198471 @default.
- W3173354266 cites W2995106439 @default.
- W3173354266 cites W3002539152 @default.
- W3173354266 cites W3006419170 @default.
- W3173354266 cites W3006645647 @default.
- W3173354266 cites W3007866917 @default.
- W3173354266 cites W3010344499 @default.
- W3173354266 cites W3010699833 @default.
- W3173354266 cites W3013334176 @default.
- W3173354266 cites W3013384067 @default.
- W3173354266 cites W3015019427 @default.
- W3173354266 cites W3015781063 @default.
- W3173354266 cites W3022770671 @default.
- W3173354266 cites W3034537954 @default.
- W3173354266 cites W3043807778 @default.
- W3173354266 cites W3043844971 @default.
- W3173354266 cites W3045431795 @default.
- W3173354266 cites W3110363146 @default.
- W3173354266 doi "https://doi.org/10.1016/j.childyouth.2021.105962" @default.
- W3173354266 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8220865" @default.
- W3173354266 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34177024" @default.
- W3173354266 hasPublicationYear "2021" @default.
- W3173354266 type Work @default.
- W3173354266 sameAs 3173354266 @default.
- W3173354266 citedByCount "5" @default.
- W3173354266 countsByYear W31733542662021 @default.
- W3173354266 countsByYear W31733542662022 @default.
- W3173354266 countsByYear W31733542662023 @default.
- W3173354266 crossrefType "journal-article" @default.
- W3173354266 hasAuthorship W3173354266A5018450563 @default.
- W3173354266 hasAuthorship W3173354266A5077419386 @default.
- W3173354266 hasBestOaLocation W31733542661 @default.
- W3173354266 hasConcept C116675565 @default.
- W3173354266 hasConcept C126322002 @default.
- W3173354266 hasConcept C138885662 @default.
- W3173354266 hasConcept C144024400 @default.
- W3173354266 hasConcept C149923435 @default.
- W3173354266 hasConcept C159047783 @default.
- W3173354266 hasConcept C187316915 @default.
- W3173354266 hasConcept C205649164 @default.
- W3173354266 hasConcept C27206212 @default.
- W3173354266 hasConcept C2779134260 @default.
- W3173354266 hasConcept C2908647359 @default.
- W3173354266 hasConcept C3008058167 @default.
- W3173354266 hasConcept C42972112 @default.
- W3173354266 hasConcept C45355965 @default.
- W3173354266 hasConcept C521751864 @default.
- W3173354266 hasConcept C524204448 @default.
- W3173354266 hasConcept C71924100 @default.
- W3173354266 hasConcept C99454951 @default.
- W3173354266 hasConceptScore W3173354266C116675565 @default.
- W3173354266 hasConceptScore W3173354266C126322002 @default.
- W3173354266 hasConceptScore W3173354266C138885662 @default.
- W3173354266 hasConceptScore W3173354266C144024400 @default.
- W3173354266 hasConceptScore W3173354266C149923435 @default.
- W3173354266 hasConceptScore W3173354266C159047783 @default.
- W3173354266 hasConceptScore W3173354266C187316915 @default.
- W3173354266 hasConceptScore W3173354266C205649164 @default.
- W3173354266 hasConceptScore W3173354266C27206212 @default.
- W3173354266 hasConceptScore W3173354266C2779134260 @default.
- W3173354266 hasConceptScore W3173354266C2908647359 @default.
- W3173354266 hasConceptScore W3173354266C3008058167 @default.
- W3173354266 hasConceptScore W3173354266C42972112 @default.
- W3173354266 hasConceptScore W3173354266C45355965 @default.
- W3173354266 hasConceptScore W3173354266C521751864 @default.
- W3173354266 hasConceptScore W3173354266C524204448 @default.
- W3173354266 hasConceptScore W3173354266C71924100 @default.
- W3173354266 hasConceptScore W3173354266C99454951 @default.
- W3173354266 hasLocation W31733542661 @default.
- W3173354266 hasLocation W31733542662 @default.
- W3173354266 hasLocation W31733542663 @default.
- W3173354266 hasOpenAccess W3173354266 @default.
- W3173354266 hasPrimaryLocation W31733542661 @default.