Impacts of travel duration on urban-rural resident free vaccination behavior: Chinese COVID-19 vaccine booster dose evidence
This study aimed to evaluate how the duration of travel affects the behavior of urban and rural residents regarding free COVID-19 vaccination, and provide scientific evidence for promoting free vaccination and building an immune barrier to cope with future epidemics. From August 3, 2022 to February,...
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creator | Miao, Yudong Zhang, Jingbao Shen, Zhanlei Li, Yi Zhang, Wanliang Bai, Junwen Zhu, Dongfang Ren, Ruizhe Guo, Dan Tarimo, Clifford Silver Dong, Wenyong Zhao, Qiuping Hu, Jianping Li, Miaojun Liu, Rongmei |
description | This study aimed to evaluate how the duration of travel affects the behavior of urban and rural residents regarding free COVID-19 vaccination, and provide scientific evidence for promoting free vaccination and building an immune barrier to cope with future epidemics. From August 3, 2022 to February,18,2023, A follow-up survey was conducted in urban and rural adults in four cities in China to collect information on socio-demographic factors, vaccination status and travel time for vaccination. Propensity score matching (PSM) analysis was deployed to measure the net difference of the enhanced vaccination rate between urban and rural residents in different traffic time distribution. A total of 5780 samples were included in the study. The vaccination rate of the booster dose of COVID-19 vaccine among rural residents was higher than that of urban residents with a significant P-value (69.36% VS 64.49%,p |
doi_str_mv | 10.1080/21645515.2024.2352914 |
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From August 3, 2022 to February,18,2023, A follow-up survey was conducted in urban and rural adults in four cities in China to collect information on socio-demographic factors, vaccination status and travel time for vaccination. Propensity score matching (PSM) analysis was deployed to measure the net difference of the enhanced vaccination rate between urban and rural residents in different traffic time distribution. A total of 5780 samples were included in the study. The vaccination rate of the booster dose of COVID-19 vaccine among rural residents was higher than that of urban residents with a significant P-value (69.36% VS 64.49%,p < .001). The traffic time had a significant negative impact on the COVID-19 booster vaccination behavior of urban and rural residents. There was a significant interaction between the travel time to the vaccination point and the level of trust in doctors. Travel time had a negative impact on the free vaccination behavior of both urban and rural residents. The government should optimize and expand the number of vaccination sites and enhance residents' trust in the medical system. This is crucial for promoting free vaccination and effective epidemic management in the future.</description><identifier>ISSN: 2164-5515</identifier><identifier>ISSN: 2164-554X</identifier><identifier>EISSN: 2164-554X</identifier><identifier>DOI: 10.1080/21645515.2024.2352914</identifier><identifier>PMID: 38845401</identifier><language>eng</language><publisher>United States: Taylor & Francis</publisher><subject><![CDATA[Adult ; Aged ; China ; Coronavirus ; COVID-19 - prevention & control ; COVID-19 Vaccines - administration & dosage ; COVID-19 Vaccines - immunology ; East Asian People ; Female ; Free vaccination behavior ; Humans ; Immunization, Secondary - statistics & numerical data ; interaction analysis ; Male ; Middle Aged ; propensity score matching ; Rural Population - statistics & numerical data ; SARS-CoV-2 - immunology ; Surveys and Questionnaires ; Time Factors ; Travel - statistics & numerical data ; urban and rural ; Urban Population - statistics & numerical data ; Vaccination - psychology ; Vaccination - statistics & numerical data ; Young Adult]]></subject><ispartof>Human vaccines & immunotherapeutics, 2024-12, Vol.20 (1), p.2352914</ispartof><rights>2024 The Author(s). Published with license by Taylor & Francis Group, LLC. 2024</rights><rights>2024 The Author(s). Published with license by Taylor & Francis Group, LLC. 2024 The Author(s)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c413t-d49a2d343f9686c9fd4ca7c83d72a9bbf22aa1c8c0ac3ea595338a96cdb77b3d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.tandfonline.com/doi/pdf/10.1080/21645515.2024.2352914$$EPDF$$P50$$Ginformaworld$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.tandfonline.com/doi/full/10.1080/21645515.2024.2352914$$EHTML$$P50$$Ginformaworld$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,864,885,2101,27501,27923,27924,59142,59143</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38845401$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Miao, Yudong</creatorcontrib><creatorcontrib>Zhang, Jingbao</creatorcontrib><creatorcontrib>Shen, Zhanlei</creatorcontrib><creatorcontrib>Li, Yi</creatorcontrib><creatorcontrib>Zhang, Wanliang</creatorcontrib><creatorcontrib>Bai, Junwen</creatorcontrib><creatorcontrib>Zhu, Dongfang</creatorcontrib><creatorcontrib>Ren, Ruizhe</creatorcontrib><creatorcontrib>Guo, Dan</creatorcontrib><creatorcontrib>Tarimo, Clifford Silver</creatorcontrib><creatorcontrib>Dong, Wenyong</creatorcontrib><creatorcontrib>Zhao, Qiuping</creatorcontrib><creatorcontrib>Hu, Jianping</creatorcontrib><creatorcontrib>Li, Miaojun</creatorcontrib><creatorcontrib>Liu, Rongmei</creatorcontrib><title>Impacts of travel duration on urban-rural resident free vaccination behavior: Chinese COVID-19 vaccine booster dose evidence</title><title>Human vaccines & immunotherapeutics</title><addtitle>Hum Vaccin Immunother</addtitle><description>This study aimed to evaluate how the duration of travel affects the behavior of urban and rural residents regarding free COVID-19 vaccination, and provide scientific evidence for promoting free vaccination and building an immune barrier to cope with future epidemics. From August 3, 2022 to February,18,2023, A follow-up survey was conducted in urban and rural adults in four cities in China to collect information on socio-demographic factors, vaccination status and travel time for vaccination. Propensity score matching (PSM) analysis was deployed to measure the net difference of the enhanced vaccination rate between urban and rural residents in different traffic time distribution. A total of 5780 samples were included in the study. The vaccination rate of the booster dose of COVID-19 vaccine among rural residents was higher than that of urban residents with a significant P-value (69.36% VS 64.49%,p < .001). The traffic time had a significant negative impact on the COVID-19 booster vaccination behavior of urban and rural residents. There was a significant interaction between the travel time to the vaccination point and the level of trust in doctors. Travel time had a negative impact on the free vaccination behavior of both urban and rural residents. The government should optimize and expand the number of vaccination sites and enhance residents' trust in the medical system. This is crucial for promoting free vaccination and effective epidemic management in the future.</description><subject>Adult</subject><subject>Aged</subject><subject>China</subject><subject>Coronavirus</subject><subject>COVID-19 - prevention & control</subject><subject>COVID-19 Vaccines - administration & dosage</subject><subject>COVID-19 Vaccines - immunology</subject><subject>East Asian People</subject><subject>Female</subject><subject>Free vaccination behavior</subject><subject>Humans</subject><subject>Immunization, Secondary - statistics & numerical data</subject><subject>interaction analysis</subject><subject>Male</subject><subject>Middle Aged</subject><subject>propensity score matching</subject><subject>Rural Population - statistics & numerical data</subject><subject>SARS-CoV-2 - immunology</subject><subject>Surveys and Questionnaires</subject><subject>Time Factors</subject><subject>Travel - statistics & numerical data</subject><subject>urban and rural</subject><subject>Urban Population - statistics & numerical data</subject><subject>Vaccination - psychology</subject><subject>Vaccination - statistics & numerical data</subject><subject>Young Adult</subject><issn>2164-5515</issn><issn>2164-554X</issn><issn>2164-554X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>0YH</sourceid><sourceid>EIF</sourceid><sourceid>DOA</sourceid><recordid>eNp9Uk1v1DAQjRCIVqU_AeQjlyzxZxIugJavlSr1AoibNbHHXVfZeLGTVJX48XjJdkUvWJZsvXnzZjTziuIlrVa0aqo3jCohJZUrVjGxYlyyloonxfkBL6UUP5-e_lSeFZcp3Vb51Jmt1PPijDeNkKKi58XvzW4PZkwkODJGmLEndoow-jCQfKfYwVDGjPQkYvIWh5G4iEhmMMYPC7HDLcw-xLdkvfUDJiTr6x-bjyVtjzQkXQhpxEhsyFGcD0IGXxTPHPQJL4_vRfH986dv66_l1fWXzfrDVWkE5WNpRQvMcsFdqxplWmeFgdo03NYM2q5zjAFQ05gKDEeQreS8gVYZ29V1xy2_KDaLrg1wq_fR7yDe6wBe_wVCvNEQR2961B1wo6gTwigpoIaOGQm2Qaac4jVWWevdorWfuh1akweSh_NI9HFk8Ft9E2ZNaV4IYzQrvD4qxPBrwjTqnU8G-x4GDFPSvFKybfJKVabKhWpiSCmiO9WhlT44QT84QR-coI9OyHmv_m3ylPWw90x4vxD84ELcwV2IvdUj3PchugiD8bmP_9f4AztqxSA</recordid><startdate>20241231</startdate><enddate>20241231</enddate><creator>Miao, Yudong</creator><creator>Zhang, Jingbao</creator><creator>Shen, Zhanlei</creator><creator>Li, Yi</creator><creator>Zhang, Wanliang</creator><creator>Bai, Junwen</creator><creator>Zhu, Dongfang</creator><creator>Ren, Ruizhe</creator><creator>Guo, Dan</creator><creator>Tarimo, Clifford Silver</creator><creator>Dong, Wenyong</creator><creator>Zhao, Qiuping</creator><creator>Hu, Jianping</creator><creator>Li, Miaojun</creator><creator>Liu, Rongmei</creator><general>Taylor & Francis</general><general>Taylor & Francis Group</general><scope>0YH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20241231</creationdate><title>Impacts of travel duration on urban-rural resident free vaccination behavior: Chinese COVID-19 vaccine booster dose evidence</title><author>Miao, Yudong ; Zhang, Jingbao ; Shen, Zhanlei ; Li, Yi ; Zhang, Wanliang ; Bai, Junwen ; Zhu, Dongfang ; Ren, Ruizhe ; Guo, Dan ; Tarimo, Clifford Silver ; Dong, Wenyong ; Zhao, Qiuping ; Hu, Jianping ; Li, Miaojun ; Liu, Rongmei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c413t-d49a2d343f9686c9fd4ca7c83d72a9bbf22aa1c8c0ac3ea595338a96cdb77b3d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Aged</topic><topic>China</topic><topic>Coronavirus</topic><topic>COVID-19 - prevention & control</topic><topic>COVID-19 Vaccines - administration & dosage</topic><topic>COVID-19 Vaccines - immunology</topic><topic>East Asian People</topic><topic>Female</topic><topic>Free vaccination behavior</topic><topic>Humans</topic><topic>Immunization, Secondary - statistics & numerical data</topic><topic>interaction analysis</topic><topic>Male</topic><topic>Middle Aged</topic><topic>propensity score matching</topic><topic>Rural Population - statistics & numerical data</topic><topic>SARS-CoV-2 - immunology</topic><topic>Surveys and Questionnaires</topic><topic>Time Factors</topic><topic>Travel - statistics & numerical data</topic><topic>urban and rural</topic><topic>Urban Population - statistics & numerical data</topic><topic>Vaccination - psychology</topic><topic>Vaccination - statistics & numerical data</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Miao, Yudong</creatorcontrib><creatorcontrib>Zhang, Jingbao</creatorcontrib><creatorcontrib>Shen, Zhanlei</creatorcontrib><creatorcontrib>Li, Yi</creatorcontrib><creatorcontrib>Zhang, Wanliang</creatorcontrib><creatorcontrib>Bai, Junwen</creatorcontrib><creatorcontrib>Zhu, Dongfang</creatorcontrib><creatorcontrib>Ren, Ruizhe</creatorcontrib><creatorcontrib>Guo, Dan</creatorcontrib><creatorcontrib>Tarimo, Clifford Silver</creatorcontrib><creatorcontrib>Dong, Wenyong</creatorcontrib><creatorcontrib>Zhao, Qiuping</creatorcontrib><creatorcontrib>Hu, Jianping</creatorcontrib><creatorcontrib>Li, Miaojun</creatorcontrib><creatorcontrib>Liu, Rongmei</creatorcontrib><collection>Taylor & Francis Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Human vaccines & immunotherapeutics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Miao, Yudong</au><au>Zhang, Jingbao</au><au>Shen, Zhanlei</au><au>Li, Yi</au><au>Zhang, Wanliang</au><au>Bai, Junwen</au><au>Zhu, Dongfang</au><au>Ren, Ruizhe</au><au>Guo, Dan</au><au>Tarimo, Clifford Silver</au><au>Dong, Wenyong</au><au>Zhao, Qiuping</au><au>Hu, Jianping</au><au>Li, Miaojun</au><au>Liu, Rongmei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impacts of travel duration on urban-rural resident free vaccination behavior: Chinese COVID-19 vaccine booster dose evidence</atitle><jtitle>Human vaccines & immunotherapeutics</jtitle><addtitle>Hum Vaccin Immunother</addtitle><date>2024-12-31</date><risdate>2024</risdate><volume>20</volume><issue>1</issue><spage>2352914</spage><pages>2352914-</pages><issn>2164-5515</issn><issn>2164-554X</issn><eissn>2164-554X</eissn><abstract>This study aimed to evaluate how the duration of travel affects the behavior of urban and rural residents regarding free COVID-19 vaccination, and provide scientific evidence for promoting free vaccination and building an immune barrier to cope with future epidemics. From August 3, 2022 to February,18,2023, A follow-up survey was conducted in urban and rural adults in four cities in China to collect information on socio-demographic factors, vaccination status and travel time for vaccination. Propensity score matching (PSM) analysis was deployed to measure the net difference of the enhanced vaccination rate between urban and rural residents in different traffic time distribution. A total of 5780 samples were included in the study. The vaccination rate of the booster dose of COVID-19 vaccine among rural residents was higher than that of urban residents with a significant P-value (69.36% VS 64.49%,p < .001). The traffic time had a significant negative impact on the COVID-19 booster vaccination behavior of urban and rural residents. There was a significant interaction between the travel time to the vaccination point and the level of trust in doctors. Travel time had a negative impact on the free vaccination behavior of both urban and rural residents. The government should optimize and expand the number of vaccination sites and enhance residents' trust in the medical system. This is crucial for promoting free vaccination and effective epidemic management in the future.</abstract><cop>United States</cop><pub>Taylor & Francis</pub><pmid>38845401</pmid><doi>10.1080/21645515.2024.2352914</doi><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged China Coronavirus COVID-19 - prevention & control COVID-19 Vaccines - administration & dosage COVID-19 Vaccines - immunology East Asian People Female Free vaccination behavior Humans Immunization, Secondary - statistics & numerical data interaction analysis Male Middle Aged propensity score matching Rural Population - statistics & numerical data SARS-CoV-2 - immunology Surveys and Questionnaires Time Factors Travel - statistics & numerical data urban and rural Urban Population - statistics & numerical data Vaccination - psychology Vaccination - statistics & numerical data Young Adult |
title | Impacts of travel duration on urban-rural resident free vaccination behavior: Chinese COVID-19 vaccine booster dose evidence |
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