About: Changes in testing rates could mask the novel coronavirus disease (COVID-19) growth rate

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Changes in testing rates could mask the novel coronavirus disease (COVID-19) growth rate
Creator	Mizumoto, Kenji Chowell, Gerardo Omori, Ryosuke Kyoto, Sakyo-Ku University, Yoshida-Nakaadachi-Cho
Source	Elsevier; Medline; PMC
abstract	Since the novel coronavirus disease (COVID-19) emerged in December 2019 in China, it has rapidly propagated to around the world, leading to one of the most significant pandemic events of recent history. Deriving reliable estimates of the COVID-19 epidemic growth rate is quite important to guide the timing and intensity of intervention strategies. Indeed, many studies have quantified the epidemic growth rate using time-series of reported cases during the early phase of the outbreak to estimate the basic reproduction number, R(0). Using daily time series of COVID-19 incidence, we illustrate how epidemic curves of reported cases may not always reflect the true epidemic growth rate due to changes in testing rates, which could be influenced by limited diagnostic testing capacity during the early epidemic phase.
has issue date	2020-04-19(xsd:dateTime)
bibo:doi	10.1016/j.ijid.2020.04.021
bibo:pmid	32320809
has license	no-cc
sha1sum (hex)	7bd9387120184b5000590e4b374cac6757a2f7e0
schema:url	https://doi.org/10.1016/j.ijid.2020.04.021
resource representing a document's title	Changes in testing rates could mask the novel coronavirus disease (COVID-19) growth rate
has PubMed Central identifier	PMC7167222
has PubMed identifier	32320809
schema:publication	Int J Infect Dis
resource representing a document's body	covid:7bd9387120184b5000590e4b374cac6757a2f7e0#body_text
is schema:about of	named entity 'COVID-19' named entity 'TYPE' named entity 'PROMOTION' named entity 'SHORT' named entity 'ICU' named entity 'epidemic' named entity 'testing' named entity 'Title' named entity 'Word count' named entity 'COVID-19' named entity 'reported cases' named entity 'Japan' named entity 'Reported cases' named entity 'epidemic' named entity 'epidemic' named entity 'testing rate' named entity 'time-series' named entity 'Japan' named entity 'COVID-19' named entity 'China' named entity 'reported cases' named entity 'epidemic' named entity 'epidemic' named entity 'diagnostic testing' named entity 'epidemic' named entity 'diagnostic testing' named entity 'exponential growth' named entity 'epidemics' named entity 'Linear growth' named entity 'probability' named entity 'epidemic' named entity 'reported cases' named entity 'United States' named entity 'ascertainment bias' named entity 'epidemic' named entity 'time series' named entity 'public health' named entity 'Italy' named entity 'epidemic' named entity 'exponential growth phase' named entity 'growth phase' named entity 'California' named entity 'epidemic' named entity 'Case series' named entity 'basic reproduction number' named entity 'epidemic' named entity 'specific testing' named entity 'linear growth' named entity 'exponential growth' named entity 'basic reproduction number' named entity 'linear growth' named entity 'epidemic' named entity 'COVID-19' named entity 'COVID-19' named entity 'Japan' named entity 'COVID-19' named entity 'case series' named entity 'linear growth' named entity 'effective reproduction number' named entity 'COVID-19' named entity 'infection' named entity 'epidemic' named entity 'epidemic' named entity 'coronavirus disease' named entity 'epidemiological' named entity 'timeseries' named entity 'COVID-19' named entity 'epidemic' named entity 'JSPS' named entity 'N A' named entity 'SUPPORT' named entity '800' named entity 'COMMUNICATION' named entity 'WORD' named entity 'Japan Society for the Promotion of Science' named entity 'coronavirus disease' named entity 'SOCIETY'

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