About: Evaluating temperature and humidity gradients of COVID-19 infection rates in light of Non-Pharmaceutical Interventions

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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
title	Evaluating temperature and humidity gradients of COVID-19 infection rates in light of Non-Pharmaceutical Interventions
Creator	Choma, Joshua Correa, Fabio Dahbi, Salah-Eddine Hayasi, Kentaro Lieberman, Benjamin Maslo, Caroline Mellado, Bruce Monnakgotla, Kgomotso Naudé, Jacques Ruan, Xifeng Stevenson, Finn
source	MedRxiv
abstract	We evaluate potential temperature and humidity impact on the infection rate of COVID-19 with a data up to June 10th 2020, which comprises a large geographical footprint. It is critical to analyse data from different countries or regions at similar stages of the pandemic in order to avoid picking up false gradients. The degree of severity of NPIs is found to be a good gauge of the stage of the pandemic for individual countries. Data points are classified according to the stringency index of the NPIs in order to ensure that comparisons between countries are made on equal footing. We find that temperature and relative humidity gradients do not significantly deviate from the zero-gradient hypothesis. Upper limits on the absolute value of the gradients are set. The procedure chosen here yields 6{middle dot}10^-3{degrees}C^-1 and 3.3{middle dot}10^-3(%)^-1 upper limits on the absolute values of the temperature and relative humidity gradients, respectively, with a 95% Confidence Level. These findings do not preclude existence of seasonal effects and are indicative that these are likely to be nuanced.
has issue date	2020-07-25(xsd:dateTime)
bibo:doi	10.1101/2020.07.20.20158071
has license	medrxiv
sha1sum (hex)	88586a4daac17507ac07591a4c2a8efe6c99583e
schema:url	https://doi.org/10.1101/2020.07.20.20158071
resource representing a document's title	Evaluating temperature and humidity gradients of COVID-19 infection rates in light of Non-Pharmaceutical Interventions
resource representing a document's body	covid:88586a4daac17507ac07591a4c2a8efe6c99583e#body_text
is schema:about of	named entity 'geographical' named entity 'absolute values' named entity 'June 10' named entity 'The' named entity 'equal footing' covid:arg/88586a4daac17507ac07591a4c2a8efe6c99583e named entity 'existence' named entity 'procedure' named entity 'relative humidity' named entity 'individual' named entity 'yields' named entity 'gradients' named entity 'order' named entity 'COVID-19' named entity 'potential temperature' named entity 'Data points' named entity 'upper limits' named entity 'COVID-19' named entity 'infection' named entity 'correlation' named entity 'data set' named entity 'global analysis' named entity 'medRxiv' named entity 'relative humidity' named entity 'peer review' named entity 'preprint' named entity 'U 4' named entity 'preprint' named entity 'South America' named entity 'preprint' named entity 'North America' named entity 'preprint' named entity 'peer review' named entity 'preprint' named entity 'relative humidity' named entity 'cardinality' named entity 'medRxiv' named entity 'U 4' named entity 'South America' named entity 'cardinality' named entity 'relative humidity' named entity 'medRxiv' named entity 'relative humidity' named entity 'medRxiv' named entity 'relative humidity' named entity 'peer review' named entity 'Johns Hopkins University' named entity 'medRxiv' named entity 'medRxiv' named entity 'COVID-19' named entity 'data set' named entity 'preprint' named entity 'peer review' named entity 'preprint' named entity 'preprint' named entity 'correlation' named entity 'US States' named entity 'preprint' named entity 'relative humidity' named entity 'preprint' named entity 'data set' named entity 'scopic' named entity 'preprint' named entity 'preprint' named entity 'peer review' named entity 'data set' named entity 'Europe' named entity 'regression analysis' named entity 'Pharmaceutical' named entity 'Confidence Level' named entity 'relative humidity' named entity 'COVID' named entity 'humidity' named entity 'temperature' named entity 'infection rate'

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