About: Reporting errors in infectious disease outbreaks, with an application to Pandemic Influenza A/H1N1

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About: Reporting errors in infectious disease outbreaks, with an application to Pandemic Influenza A/H1N1 Goto Sponge NotDistinct Permalink

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	Reporting errors in infectious disease outbreaks, with an application to Pandemic Influenza A/H1N1
Creator	Pagano, Marcello White, Laura
Source	PMC
abstract	BACKGROUND: Effectively responding to infectious disease outbreaks requires a well-informed response. Quantitative methods for analyzing outbreak data and estimating key parameters to characterize the spread of the outbreak, including the reproductive number and the serial interval, often assume that the data collected is complete. In reality reporting delays, undetected cases or lack of sensitive and specific tests to diagnose disease lead to reporting errors in the case counts. Here we provide insight on the impact that such reporting errors might have on the estimation of these key parameters. RESULTS: We show that when the proportion of cases reported is changing through the study period, the estimates of key epidemiological parameters are biased. Using data from the Influenza A/H1N1 outbreak in La Gloria, Mexico, we provide estimates of these parameters, accounting for possible reporting errors, and show that they can be biased by as much as 33%, if reporting issues are not accounted for. CONCLUSIONS: Failure to account for missing data can lead to misleading and inaccurate estimates of epidemic parameters.
has issue date	2010-12-15(xsd:dateTime)
bibo:doi	10.1186/1742-5573-7-12
bibo:pmid	21159178
has license	cc-by
sha1sum (hex)	d6631a0f06bb98c73bfde3c98faf886c8be05522
schema:url	https://doi.org/10.1186/1742-5573-7-12
resource representing a document's title	Reporting errors in infectious disease outbreaks, with an application to Pandemic Influenza A/H1N1
has PubMed Central identifier	PMC3018365
has PubMed identifier	21159178
schema:publication	Epidemiol Perspect Innov
resource representing a document's body	covid:d6631a0f06bb98c73bfde3c98faf886c8be05522#body_text
is schema:about of	named entity 'INCLUDING' named entity 'INFLUENZA A' named entity 'ERRORS' named entity 'USING' named entity 'ACCOUNT' named entity 'IMPACT' named entity 'FAILURE' named entity 'DISEASE OUTBREAKS' named entity 'PERIOD' named entity 'RESPONSE' named entity 'TESTS' named entity 'POSSIBLE' named entity 'DISEASE OUTBREAKS' named entity 'specific' named entity 'changing' named entity 'infectious disease' named entity 'EPIDEMIOLOGICAL' named entity 'INFECTIOUS DISEASE' named entity 'OUTBREAK' named entity 'MEXICO' named entity 'LEAD' named entity 'SPECIFIC' named entity 'REPORTING' named entity 'INFORMED' named entity 'CONCLUSIONS' named entity 'ACCOUNTING' named entity 'BIASED' named entity 'REPRODUCTIVE' named entity 'TO CHARACTERIZE' named entity 'EPIDEMIC' named entity 'STUDY' named entity 'AS 33' named entity 'COUNTS' named entity 'PANDEMIC' named entity 'INFLUENZA A' named entity 'INFECTIOUS DISEASE' named entity 'REPORTING' named entity 'ERRORS' named entity 'APPLICATION' named entity 'SPREAD' named entity 'REALITY' named entity 'CASES' named entity 'HERE' named entity 'QUANTITATIVE METHODS' named entity 'PROVIDE' named entity 'MUCH' named entity 'DATA COLLECTED' named entity 'INACCURATE' named entity 'LACK' named entity 'CHANGING' named entity 'ANALYZING' named entity 'HAVE' named entity 'DATA' named entity 'COMPLETE' named entity 'PARAMETERS' named entity 'MISSING DATA' named entity 'RESULTS' named entity 'ESTIMATING' named entity 'KEY' named entity 'BACKGROUND' named entity 'DIAGNOSE DISEASE' named entity 'THESE' named entity 'INSIGHT' named entity 'CASES REPORTED' named entity 'NUMBER' named entity 'SENSITIVE' named entity 'SERIAL' named entity 'CASE' named entity 'ISSUES' named entity 'ESTIMATES' named entity 'ESTIMATION' named entity 'INTERVAL' named entity 'PROPORTION' covid:arg/d6631a0f06bb98c73bfde3c98faf886c8be05522 named entity 'data' named entity 'Quantitative methods' named entity 'insight' named entity 'Influenza A/H1N1' named entity 'estimation' named entity 'estimating'

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