Literature DB >> 23774923

[Analysis of the difference in free influenza vaccination rates between old people in urban and rural areas in Beijing].

Fu-hua Wang1, Zheng Xie, Min Lv, Ying Deng, Tuo-hong Zhang.   

Abstract

OBJECTIVE: To assess the status of free influenza vaccination rates for the elderly in Beijing.
METHODS: A questionnaire survey was carried out among 1 000 old people in Beijing. Random sampling method was employed. Descriptive analysis and Chi square test were used for statistical analysis, and Logistic regression model was used to analyze the difference in free influenza vaccination rates between the urban and rural areas.
RESULTS: The continuous influenza vaccination rate of the elderly from 2007 to 2010 was 46.4%, which was higher in the rural (70.9%) than in the urban (38.3%). The vaccination rate in the rural was 3.859 times that in the urban, after other variables were controlled.
CONCLUSION: The vaccination rate among the elderly in Beijing has been raised after the implementation of free influenza vaccination policy in 2007, especially for the rural people. In the urban areas, concerning about the safety of the vaccine is one of the reasons why people chose not to take free influenza vaccination; while in the rural, the insufficient knowledge about the flu and influenza vaccine plays an important role.

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Year:  2013        PMID: 23774923

Source DB:  PubMed          Journal:  Beijing Da Xue Xue Bao Yi Xue Ban        ISSN: 1671-167X


  4 in total

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3.  Dynamics of influenza-like illness under urbanization procedure and COVID-19 pandemic in the subcenter of Beijing during 2013-2021.

Authors:  Chao Wang; Yan-Na Yang; Lu Xi; Li-Li Yang; Juan Du; Zhong-Song Zhang; Xin-Yao Lian; Yan Cui; Hong-Jun Li; Wan-Xue Zhang; Bei Liu; Fuqiang Cui; Qing-Bin Lu
Journal:  J Med Virol       Date:  2022-04-28       Impact factor: 20.693

4.  The influence of a community intervention on influenza vaccination knowledge and behavior among diabetic patients.

Authors:  Lili Tao; Ming Lu; Xiaoning Wang; Xiaoyan Han; Shuming Li; Haiyan Wang
Journal:  BMC Public Health       Date:  2019-12-27       Impact factor: 3.295

  4 in total

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