About: The Impact of Matching Vaccine Strains and Post-SARS Public Health Efforts on Reducing Influenza-Associated Mortality among the Elderly

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About: The Impact of Matching Vaccine Strains and Post-SARS Public Health Efforts on Reducing Influenza-Associated Mortality among the Elderly 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	The Impact of Matching Vaccine Strains and Post-SARS Public Health Efforts on Reducing Influenza-Associated Mortality among the Elderly
Creator	King, Chwan-Chuen Chan, Ta-Chien Kao, Chuan-Liang Chiang, Po-Huang Lee, Chang-Chun Liu, Chung-Ming Hsiao, Chuhsing
Source	Medline; PMC
abstract	Public health administrators do not have effective models to predict excess influenza-associated mortality and monitor viral changes associated with it. This study evaluated the effect of matching/mismatching vaccine strains, type/subtype pattern changes in Taiwan's influenza viruses, and the impact of post-SARS (severe acute respiratory syndrome) public health efforts on excess influenza-associated mortalities among the elderly. A negative binomial model was developed to estimate Taiwan's monthly influenza-associated mortality among the elderly. We calculated three winter and annual excess influenza-associated mortalities [pneumonia and influenza (P&I), respiratory and circulatory, and all-cause] from the 1999–2000 through the 2006–2007 influenza seasons. Obtaining influenza virus sequences from the months/years in which death from P&I was excessive, we investigated molecular variation in vaccine-mismatched influenza viruses by comparing hemagglutinin 1 (HA1) of the circulating and vaccine strains. We found that the higher the isolation rate of A (H3N2) and vaccine-mismatched influenza viruses, the greater the monthly P&I mortality. However, this significant positive association became negative for higher matching of A (H3N2) and public health efforts with post-SARS effect. Mean excess P&I mortality for winters was significantly higher before 2003 than after that year [mean ± S.D.: 1.44±1.35 vs. 0.35±1.13, p = 0.04]. Further analysis revealed that vaccine-matched circulating influenza A viruses were significantly associated with lower excess P&I mortality during post-SARS winters (i.e., 2005–2007) than during pre-SARS winters [0.03±0.06 vs. 1.57±1.27, p = 0.01]. Stratification of these vaccine-matching and post-SARS effect showed substantial trends toward lower elderly excess P&I mortalities in winters with either mismatching vaccines during the post-SARS period or matching vaccines during the pre-SARS period. Importantly, all three excess mortalities were at their highest in May, 2003, when inter-hospital nosocomial infections were peaking. Furthermore, vaccine-mismatched H3N2 viruses circulating in the years with high excess P&I mortality exhibited both a lower amino acid identity percentage of HA1 between vaccine and circulating strains and a higher numbers of variations at epitope B. Our model can help future decision makers to estimate excess P&I mortality effectively, select and test virus strains for antigenic variation, and evaluate public health strategy effectiveness.
has issue date	2010-06-25(xsd:dateTime)
bibo:doi	10.1371/journal.pone.0011317
bibo:pmid	20592764
has license	cc-by
sha1sum (hex)	18910856b917289b6bb3cc2cef0f78ff82ad4b02
schema:url	https://doi.org/10.1371/journal.pone.0011317
resource representing a document's title	The Impact of Matching Vaccine Strains and Post-SARS Public Health Efforts on Reducing Influenza-Associated Mortality among the Elderly
has PubMed Central identifier	PMC2892467
has PubMed identifier	20592764
schema:publication	PLoS One
resource representing a document's body	covid:18910856b917289b6bb3cc2cef0f78ff82ad4b02#body_text
is schema:about of	named entity 'viral' named entity 'influenza A' named entity 'annual' named entity 'matching' named entity 'influenza' named entity 'peaking' named entity 'mortality' named entity 'strategy' named entity 'elderly' named entity 'substantial' named entity 'respiratory' named entity 'P&I' named entity 'elderly' named entity 'future' named entity 'P&I' named entity 'Impact' named entity 'VACCINE' named entity 'HIGHER' named entity 'CIRCULATING' named entity 'GREATER' named entity 'SEASONS' named entity 'NEGATIVE' named entity 'PEAKING' named entity 'ACUTE' named entity 'LOWER' named entity 'VACCINES' named entity 'PREDICT' named entity 'IMPACT' named entity 'POST' named entity 'EFFECTIVENESS' named entity 'ANTIGENIC VARIATION' named entity 'PERIOD' named entity 'ASSOCIATED WITH' named entity 'TYPE' named entity 'SEQUENCES' named entity 'ELDERLY' named entity 'FUTURE' named entity 'HIGH' named entity 'ASSOCIATION' named entity 'OUR' named entity 'MODEL' named entity 'STUDY' named entity 'EPITOPE' named entity 'PUBLIC HEALTH' named entity 'BINOMIAL MODEL' named entity 'REDUCING' named entity 'ELDERLY' named entity 'MORTALITY' named entity 'ASSOCIATED' named entity 'POST' named entity 'VIRAL' named entity 'ESTIMATE' named entity '28I' named entity '5761' named entity 'ASSOCIATED' named entity 'STRAINS' named entity 'PUBLIC HEALTH' named entity 'INFLUENZA' named entity 'HELP' named entity 'EXCESS' named entity 'AMINO ACID' named entity 'TAIWAN' named entity 'ANNUAL' named entity 'YEAR' named entity 'MODELS' named entity 'PERCENTAGE' named entity '26I' named entity 'INVESTIGATED' named entity 'PATTERN' named entity 'WINTER' named entity '28P' named entity '2000' named entity 'FOUND' named entity 'POSITIVE' named entity 'IMPACT'

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