About: Co-variance nexus between COVID-19 mortality, humidity, and air quality index in Wuhan, China: New insights from partial and multiple wavelet coherence

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About: Co-variance nexus between COVID-19 mortality, humidity, and air quality index in Wuhan, China: New insights from partial and multiple wavelet coherence Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Co-variance nexus between COVID-19 mortality, humidity, and air quality index in Wuhan, China: New insights from partial and multiple wavelet coherence
Creator	Ghulam, Syed Fareed, Zeeshan Hashmi, Haider Iqbal, Najaf Shah, Meran Shahzad, Farrukh Shahzad, Khurram Shahzad, Umar Shujahat, & Zulfiqar, Bushra
topic	covid:76c1c52e448d66137b62e5d9abf43a8ceb903cbf#this
Source	Medline; PMC
abstract	The worldwide outbreak of COVID-19 disease has caused immense damage to our health and economic and social life. This research article helps to determine the impact of climate on the lethality of this disease. Air quality index and average humidity are selected from the family of climate variables, to determine its impact on the daily new cases of COVID-19-related deaths in Wuhan, China. We have used wavelet analysis (wavelet transform coherence (WTC), partial (PWC), and multiple wavelet coherence (MWC), due to its advantages over traditional time series methods, to study the co-movement nexus between our selected data series. Findings suggest a notable coherence between air quality index, humidity, and mortality in Wuhan during a recent outbreak. Humidity is negatively related to the COVID-19-related deaths, and bad air quality leads to an increase in this mortality. These findings are important for policymakers to save precious human lives by better understanding the interaction of the environment with the COVID-19 disease.
has issue date	2020-06-08(xsd:dateTime)
bibo:doi	10.1007/s11869-020-00847-1
bibo:pmid	32837610
has license	no-cc
sha1sum (hex)	76c1c52e448d66137b62e5d9abf43a8ceb903cbf
schema:url	https://doi.org/10.1007/s11869-020-00847-1
resource representing a document's title	Co-variance nexus between COVID-19 mortality, humidity, and air quality index in Wuhan, China: New insights from partial and multiple wavelet coherence
has PubMed Central identifier	PMC7279636
has PubMed identifier	32837610
schema:publication	Air Qual Atmos Health
resource representing a document's body	covid:76c1c52e448d66137b62e5d9abf43a8ceb903cbf#body_text
is http://vocab.deri.ie/void#inDataset of	https://covidontheweb.inria.fr:4443/about/id/http/ns.inria.fr/covid19/76c1c52e448d66137b62e5d9abf43a8ceb903cbf
is schema:about of	named entity 'human' named entity 'wavelet' named entity 'disease' named entity 'insights' named entity 'AVERAGE' named entity 'COHERENCE' named entity 'DUE TO' named entity 'WAVELET ANALYSIS' named entity 'NEW' named entity 'OUTBREAK' named entity 'TRANSFORM' named entity 'ECONOMIC' named entity 'UNDERSTANDING' named entity 'ENVIRONMENT' named entity 'COVID-19' named entity 'BETTER' named entity 'FINDINGS' named entity 'WORLDWIDE' named entity 'USED' named entity 'THESE' named entity 'climate' named entity 'disease' named entity 'WTC' named entity 'data' named entity 'wavelet transform' named entity 'Wuhan' named entity 'PWC' named entity 'Air quality index' named entity 'human lives' named entity 'humidity' named entity 'time series' named entity 'wavelet' named entity 'COVID-19' named entity 'Wuhan' named entity 'worldwide outbreak of COVID-19' named entity 'air quality index' named entity 'humidity' named entity 'COVID-19 disease' named entity 'humidity' named entity 'wavelet' covid:arg/76c1c52e448d66137b62e5d9abf43a8ceb903cbf named entity 'family' named entity 'air quality index' named entity 'IMPORTANT' named entity 'LIVES' named entity 'DETERMINE' named entity 'METHODS' named entity 'wavelet transform' named entity 'Humidity' named entity 'wavelet analysis' named entity 'COVID' named entity 'Co-variance' named entity 'AIR QUALITY INDEX' named entity 'air quality' named entity 'COVID' named entity 'Wuhan' named entity 'HUMAN' named entity 'DAILY' named entity 'OUR' named entity 'SUGGEST' named entity 'HAVE' named entity 'CHINA' named entity 'MORTALITY' named entity 'DEATHS' named entity 'LETHALITY' named entity 'MULTIPLE' named entity 'WUHAN' named entity 'AIR QUALITY INDEX' named entity 'PARTIAL' named entity 'COVID-19'

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