Willingness to accept a future influenza A(H7N9) vaccine in Beijing, China

Wu, Shanshan; Su, Jianting; Yang, Peng; Zhang, Haiyan; Li, Hongjun; Chu, Yanhui; Hua, Wei; Li, Chao; Tang, Yi; Wang, Quanyi

doi:10.1016/j.vaccine.2017.12.008

Cited by 30 publications

(36 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Related study demonstrated the poultry industry loosed amounted to ¥7.75 billion (USD$1.24 billion) in 10 affected provinces and ¥3.68 billion (USD$0.59 billion) in eight non-affected adjacent provinces in only three months from March to May, 2013, [16] included cost of poultry slaughter, cost of closing LPMs, cost of live poultry sales and cost of market-stall leases. After the H7N9 outbreak in whole of China, reduced to 6% of the household had experience of purchasing poultry [26]. Meanwhile, the proportion of direct medical losses and DALYs losses in the estimate of H7N9 burden was small, but the medical costs per case were extremely high (mean cost for each patient was ¥10 117 (USD$1619) for mild patients, and ¥205 976 (USD$32 956) for severe cases with death).…”

Section: Discussionmentioning

confidence: 99%

Live Poultry Market Closure and Avian Influenza A (H7N9) infection in cities of China, 2013-2017: An ecological study

Chen¹,

Cheng

et al. 2020

Preprint

View full text Add to dashboard Cite

Background Previous studies have proven that the closure of live poultry markets (LPMs) was an effective intervention to reduce human risk of avian influenza A (H7N9) infection, but evidence is limited on the impact of scale and duration of LPMs closure on the transmission of H7N9. Method Five cities (i.e., Shanghai, Suzhou, Shenzhen, Guangzhou and Hangzhou) with the largest number of H7N9 cases in mainland China from 2013-2017 were selected in this study. Data on laboratory-confirmed H7N9 human cases in those five cities were obtained from the Chinese National Influenza Centre. The detailed information of LPMs closure (i.e., area and duration) was obtained from the Ministry of Agriculture. We used a generalized linear model with a Poisson link to estimate the effect of LPMs closure, reported as relative risk reduction (RRR). We used classification and regression trees (CARTs) to select and quantify the dominant factor of H7N9 infection. Results All five cities implemented the LPMs closure, and the risk of H7N9 infection decreased significantly after LPMs closure with RRR ranging from 0.80-0.93. Respectively, a long-term LPMs closure for 10-13 weeks elicited a sustained and highly significant risk reduction of H7N9 infection (RRR = 0.98). Short-time LPMs closure with 2 weeks in every epidemic did not reduce the risk of H7N9 infection (p>0.05). Partially closed LPMs in some suburbs contributed only 35% for reduction rate (RRR=0.35). Shenzhen implemented partial closure for first 3 epidemics (p>0.05) and all closure in the latest 2 epidemic waves (RRR=0.64). Conclusion Our findings suggest that LPMs all closure in whole city can be a highly effective measure comparing with partial closure (i.e. only urban closure, suburb and country remain open). Extend the duration of closure and consider permanently closing the LPMs will help improve the control effect. The effect of LPMs closure is greater than that of meteorology on H7N9 transmission.

show abstract

Section: Discussionmentioning

confidence: 99%

Live Poultry Market Closure and Avian Influenza A (H7N9) infection in cities of China, 2013-2017: An ecological study

Chen¹,

Cheng

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…5,6 As of 17th October 2020, the virus has rapidly spread in the Kingdom, causing a total of 341,495 laboratory-confirmed cases with 5144 deaths. 7 A vaccine is considered to be the most awaiting intervention 2,4,7 and hundreds of global R&D institutions engaged in unprecedented speed to develop the vaccine [7][8][9][10][11] However, public perception towards COVID-19 vaccine uptake is not available. Numerous studies have shown several factors responsible for vaccine acceptancy when a new vaccine is introduced.…”

Section: Introductionmentioning

confidence: 99%

“…18 In Beijing, China, 59.5% of the study participants who had heard of H7N9 were willing to accept a future influenza A (H7N9) Vaccine. 8 Vaccine acceptance and demand are complex in nature and context-specific, varying across time, place, and perceived behavioral nature of the community. [9][10][11][12][13][14][15] A study in Ireland showed that health care workers avoided seasonal influenza vaccination due to their misconception, efficacy, and trust in the vaccine.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

<p>Determinants of COVID-19 Vaccine Acceptance in Saudi Arabia: A Web-Based National Survey</p>

Al-Mohaithef¹,

Padhi²

2020

JMDH

558

107

508

View full text Add to dashboard Cite

Background: Vaccine hesitancy is a potential threat to global public health. Since there is an unprecedented global effort to develop a vaccine against the COVID-19 pandemic, much less is known about its acceptance in the community. Understanding key determinants that influence the preferences and demands of a future vaccine by the community may help to develop strategies for improving the global vaccination program. The aim of this study was to assess the prevalence of the acceptance of COVID-19 vaccine and their determinants among people in Saudi Arabia. Methods: A web-based, cross-sectional study was conducted using snowball sampling strategy under a highly restricted environment. A bilingual, self-administered anonymous questionnaire was designed and sent to the study participants through social media platforms and email. Study participants were recruited across the country, including the four major cities (Riyadh, Dammam, Jeddah, and Abha) in Saudi Arabia. Key determinants that predict vaccine acceptance among respondents were modelled using logistic regression analysis. Of the 1000 survey invitees, 992 responded to the survey. Results: Of the 992 respondents, 642 showed interest to accept the COVID-19 vaccine if it is available. Willingness to accept the future COVID-19 vaccine is relatively high among older age groups, being married participants with education level postgraduate degree or higher (68.8%), non-Saudi (69.1%), employed in government sector (68.9%). In multivariate model, respondents who were above 45 years (aOR: 2.15; 95% CI: 1.08-3.21) and married (aOR: 1.79; 95% CI: 1.28-2.50) were significantly associated with vaccine acceptance (p < 0.05). Conclusion: Addressing sociodemographic determinants relating to the COVID-19 vaccination may help to increase uptake of the global vaccination program to tackle future pandemics. Targeted health education interventions are needed to increase the uptake of the future COVID-19 vaccine.

show abstract

“…An o cial from China's health ministry said on television on 22 August 2020 [30] that This mirrors the vaccination strategy used in response to the 2009 H1N1 pandemic in China, in which priority groups (e.g., older individuals, students, civil servants, etc.) received the vaccine followed by other groups [32]. However, according to modeling results, the priority of targeted vaccination would depend on the effectiveness of future COVID-19 vaccines [23].…”

Section: Discussionmentioning

confidence: 99%

Willingness to Receive Future Covid-19 Vaccines Following the Covid-19 Epidemic In Shanghai, China

Zhou

Zhang²,

et al. 2020

Preprint

View full text Add to dashboard Cite

Background There are no pharmacological interventions currently available to prevent the transmission of SARS-CoV-2 or to treat COVID-19. The development of vaccines against COVID-19 is essential to contain the pandemic. we conducted a cross-sectional survey of Shanghai residents to understand residents' willingness to be vaccinated with any future COVID-19 vaccines and take measures to further improve vaccination coverage. Methods We conducted a cross-sectional survey using self-administered anonymous questionnaires from 1 July to 8 September 2020. The main outcome was willingness of participants, and any children or older individuals living with them, to receive future COVID-19 vaccines. Logistic regression analyses were used to explore potential factors associated with vaccination willingness. Results A total of 1,071 participants were asked about their willingness to receive future COVID-19 vaccines, for themselves and at least 747 children and 375 older individuals (≥ 60 years old) living with them. The highest proportion of willingness to vaccinate was among adults (88.9%), followed by children (85.3%) and older individuals (84.0%). The main reasons for reluctance to vaccinate among 119 participants were doubts regarding vaccine safety (60.0%) and efficacy (28.8%). Participants with a self-reported history of influenza vaccination were more likely to accept COVID-19 vaccines for themselves [adjusted odds ratio (OR) = 1.83; 95% confidence interval (CI): 1.19–2.82], their children (adjusted OR = 2.08; 95%CI: 1.30–3.33), and older individuals in their household (adjusted OR = 2.12; 95%CI: 1.14–3.99). Participants with older individuals in their families were less willing to vaccinate themselves (adjusted OR = 0.59; 95%CI: 0.40–0.87) and their children (adjusted OR = 0.58; 95%CI: 0.38–0.89). Conclusions Participants were more reluctant to accept COVID-19 vaccines for older individuals living with them. The presence of older individuals in the home also affected willingness of participants and their children to be vaccinated.

show abstract

Willingness to accept a future influenza A(H7N9) vaccine in Beijing, China

Cited by 30 publications

References 29 publications

Live Poultry Market Closure and Avian Influenza A (H7N9) infection in cities of China, 2013-2017: An ecological study

Live Poultry Market Closure and Avian Influenza A (H7N9) infection in cities of China, 2013-2017: An ecological study

<p>Determinants of COVID-19 Vaccine Acceptance in Saudi Arabia: A Web-Based National Survey</p>

Willingness to Receive Future Covid-19 Vaccines Following the Covid-19 Epidemic In Shanghai, China

Contact Info

Product

Resources

About