[Estimation and application of case fatality rate, using the summarizing data].
Identifieur interne : 001525 ( Main/Exploration ); précédent : 001524; suivant : 001526[Estimation and application of case fatality rate, using the summarizing data].
Auteurs : Yanan Zhu [République populaire de Chine] ; Juanjuan Zhang [République populaire de Chine] ; Jingjing Han [République populaire de Chine] ; Huilin Chen [République populaire de Chine] ; Zihang Lu [République populaire de Chine] ; Zheng Chen [République populaire de Chine]Source :
- Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi [ 0254-6450 ] ; 2014.
Descripteurs français
- KwdFr :
- MESH :
- mortalité : Grippe humaine, Syndrome respiratoire aigu sévère.
- épidémiologie : Chine, Hong Kong.
- Analyse de régression, Humains, Sous-type H7N9 du virus de la grippe A.
- Wicri :
- geographic : République populaire de Chine, Hong Kong.
English descriptors
- KwdEn :
- MESH :
- geographic , epidemiology : China, Hong Kong.
- mortality : Influenza, Human, Severe Acute Respiratory Syndrome.
- Humans, Influenza A Virus, H7N9 Subtype, Regression Analysis.
Abstract
To evaluate five methods in the estimation on the rate of case fatality during the epidemics of diseases based on the summarizing data. Case fatality rates, derived from the simulation data, 2003 SARS epidemic data in Hong Kong, Singapore Beijing and the 2013 H7N9 epidemic data in mainland China were analyzed, using these 5 methods. Results from the simulation analysis discovered that the relative errors and the standard deviations of the Chen [7, 8] (method 3), Chen [9] (method 4)were minor with high accuracy. Data from the analysis on 2003 SARS epidemic was noticed that the estimation from method 3, 4 in Hong Kong and Singapore both showing high veracities. Since the case fatality rate reported in Beijing was not a constant value, method 5 showed low accuracy even though it was close to the final case fatality rate. Data from the 2013 H7N9 epidemic showed that the estimations of method 1, 2, 3, 4 were all higher than that in the method 5, suggesting that method 3, 4 could be used to estimate the case fatality rates of epidemics more precisely.
PubMed: 25059378
Affiliations:
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first="Jingjing" last="Han">Jingjing Han</name><affiliation wicri:level="1"><nlm:affiliation>Department of Biostatistics, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou 510515, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Biostatistics, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou 510515</wicri:regionArea><placeName><settlement type="city">Jiangmen</settlement><region type="province">Guangdong</region></placeName></affiliation></author><author><name sortKey="Chen, Huilin" sort="Chen, Huilin" uniqKey="Chen H" first="Huilin" last="Chen">Huilin Chen</name><affiliation wicri:level="1"><nlm:affiliation>Department of Biostatistics, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou 510515, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of 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last="Chen">Zheng Chen</name><affiliation wicri:level="1"><nlm:affiliation>Department of Biostatistics, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou 510515, China. 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Case fatality rates, derived from the simulation data, 2003 SARS epidemic data in Hong Kong, Singapore Beijing and the 2013 H7N9 epidemic data in mainland China were analyzed, using these 5 methods. Results from the simulation analysis discovered that the relative errors and the standard deviations of the Chen [7, 8] (method 3), Chen [9] (method 4)were minor with high accuracy. Data from the analysis on 2003 SARS epidemic was noticed that the estimation from method 3, 4 in Hong Kong and Singapore both showing high veracities. Since the case fatality rate reported in Beijing was not a constant value, method 5 showed low accuracy even though it was close to the final case fatality rate. Data from the 2013 H7N9 epidemic showed that the estimations of method 1, 2, 3, 4 were all higher than that in the method 5, suggesting that method 3, 4 could be used to estimate the case fatality rates of epidemics more precisely. </div></front></TEI><affiliations><list><country><li>République populaire de Chine</li></country><region><li>Guangdong</li></region><settlement><li>Jiangmen</li></settlement></list><tree><country name="République populaire de Chine"><region name="Guangdong"><name sortKey="Zhu, Yanan" sort="Zhu, Yanan" uniqKey="Zhu Y" first="Yanan" last="Zhu">Yanan Zhu</name></region><name sortKey="Chen, Huilin" sort="Chen, Huilin" uniqKey="Chen H" first="Huilin" last="Chen">Huilin Chen</name><name sortKey="Chen, Zheng" sort="Chen, Zheng" uniqKey="Chen Z" first="Zheng" last="Chen">Zheng Chen</name><name sortKey="Han, Jingjing" sort="Han, Jingjing" uniqKey="Han J" first="Jingjing" last="Han">Jingjing Han</name><name sortKey="Lu, Zihang" sort="Lu, Zihang" uniqKey="Lu Z" first="Zihang" last="Lu">Zihang Lu</name><name sortKey="Zhang, Juanjuan" sort="Zhang, Juanjuan" uniqKey="Zhang J" first="Juanjuan" last="Zhang">Juanjuan Zhang</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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