About: Estimation of the National Disease Burden of Influenza-Associated Severe Acute Respiratory Illness in Kenya and Guatemala: A Novel Methodology

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About: Estimation of the National Disease Burden of Influenza-Associated Severe Acute Respiratory Illness in Kenya and Guatemala: A Novel Methodology Goto Sponge NotDistinct Permalink

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Estimation of the National Disease Burden of Influenza-Associated Severe Acute Respiratory Illness in Kenya and Guatemala: A Novel Methodology
Creator	Kazungu, Sidi Widdowson, Marc-Alain Feikin, Daniel Mott, Joshua Arvelo, Wences Emukule, Gideon Khagayi, Sammy Linares-Perez, Nivaldo Ngama, Mwanajuma Njuguna, Henry Summers, Aimee Fuller, James Olsen, Sonja Katz, Mark Lindblade, Kim Mccracken, John Nokes, D
Source	PMC
abstract	BACKGROUND: Knowing the national disease burden of severe influenza in low-income countries can inform policy decisions around influenza treatment and prevention. We present a novel methodology using locally generated data for estimating this burden. METHODS AND FINDINGS: This method begins with calculating the hospitalized severe acute respiratory illness (SARI) incidence for children <5 years old and persons ≥5 years old from population-based surveillance in one province. This base rate of SARI is then adjusted for each province based on the prevalence of risk factors and healthcare-seeking behavior. The percentage of SARI with influenza virus detected is determined from provincial-level sentinel surveillance and applied to the adjusted provincial rates of hospitalized SARI. Healthcare-seeking data from healthcare utilization surveys is used to estimate non-hospitalized influenza-associated SARI. Rates of hospitalized and non-hospitalized influenza-associated SARI are applied to census data to calculate the national number of cases. The method was field-tested in Kenya, and validated in Guatemala, using data from August 2009–July 2011. In Kenya (2009 population 38.6 million persons), the annual number of hospitalized influenza-associated SARI cases ranged from 17,129–27,659 for children <5 years old (2.9–4.7 per 1,000 persons) and 6,882–7,836 for persons ≥5 years old (0.21–0.24 per 1,000 persons), depending on year and base rate used. In Guatemala (2011 population 14.7 million persons), the annual number of hospitalized cases of influenza-associated pneumonia ranged from 1,065–2,259 (0.5–1.0 per 1,000 persons) among children <5 years old and 779–2,252 cases (0.1–0.2 per 1,000 persons) for persons ≥5 years old, depending on year and base rate used. In both countries, the number of non-hospitalized influenza-associated cases was several-fold higher than the hospitalized cases. CONCLUSIONS: Influenza virus was associated with a substantial amount of severe disease in Kenya and Guatemala. This method can be performed in most low and lower-middle income countries.
has issue date	2013-02-27(xsd:dateTime)
bibo:doi	10.1371/journal.pone.0056882
bibo:pmid	23573177
has license	cc0
sha1sum (hex)	ebb05424e38f5e17460ce65e2ccd5a7ad4f73b42
schema:url	https://doi.org/10.1371/journal.pone.0056882
resource representing a document's title	Estimation of the National Disease Burden of Influenza-Associated Severe Acute Respiratory Illness in Kenya and Guatemala: A Novel Methodology
has PubMed Central identifier	PMC3584100
has PubMed identifier	23573177
schema:publication	PLoS One
resource representing a document's body	covid:ebb05424e38f5e17460ce65e2ccd5a7ad4f73b42#body_text
is schema:about of	named entity 'Methodology' named entity 'INFLUENZA' named entity 'GUATEMALA' named entity 'LOCALLY' named entity 'KENYA' named entity 'ACUTE RESPIRATORY ILLNESS' named entity 'ASSOCIATED' named entity 'NATIONAL' named entity 'USING' named entity 'NOVEL' named entity 'DISEASE' named entity 'METHODOLOGY' named entity 'SEVERE' named entity 'ESTIMATION' named entity 'COUNTRIES' named entity 'NATIONAL' named entity 'METHODOLOGY' named entity 'GENERATED' named entity 'DECISIONS' named entity 'DATA' named entity 'INFLUENZA' named entity 'NOVEL' named entity 'INFORM' named entity 'BACKGROUND' named entity 'INCOME' named entity 'PRESENT' named entity 'DISEASE' named entity 'LOW' named entity 'BURDEN' named entity 'BURDEN' named entity 'TREATMENT' named entity 'PREVENTION' named entity 'POLICY' named entity 'SEVERE' named entity 'ESTIMATING' named entity 'severe' named entity 'influenza' named entity 'disease burden' named entity 'Guatemala' named entity '2009 influenza pandemic' named entity 'breastfeeding' named entity 'Coast province' named entity 'Influenza vaccine' named entity 'cost-effectiveness' named entity 'respiratory illness' named entity 'low birth weight' named entity 'pneumonia' named entity 'SARI' named entity 'Guatemala' named entity 'SARI' named entity 'SARI' named entity 'SARI' named entity 'respiratory illness' named entity 'malnutrition' named entity '0.21' named entity 'Risk factors' named entity 'Confidence intervals' named entity 'middle income countries' named entity 'middle income countries' named entity 'influenza' named entity 'SARI' named entity 'Quetzaltenango' named entity 'SARI' named entity 'influenza' named entity 'University of the Valley of Guatemala'

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