Hostname: page-component-78c5997874-mlc7c Total loading time: 0 Render date: 2024-11-02T16:02:21.334Z Has data issue: false hasContentIssue false

The politics of flu vaccines: international collaboration and political partisanship

Published online by Cambridge University Press:  25 March 2024

Rigao Liu
Affiliation:
Department of Political Science, University of Kansas, Blake Hall 504, 1541 Lilac Lane, Lawrence, KS 66045, USA
Haruka Nagao*
Affiliation:
Department of Political Science, Oklahoma State University, 201 Social Sciences and Humanities, Stillwater, OK 74078, USA
William Hatungimana
Affiliation:
Department of Political Science, Oklahoma State University, 201 Social Sciences and Humanities, Stillwater, OK 74078, USA
Jiakun Jack Zhang
Affiliation:
Department of Political Science, University of Kansas, Blake Hall 504, 1541 Lilac Lane, Lawrence, KS 66045, USA
John James Kennedy
Affiliation:
Department of Political Science, University of Kansas, Blake Hall 504, 1541 Lilac Lane, Lawrence, KS 66045, USA
*
Corresponding author: Haruka Nagao; Email: hnagao@okstate.edu
Rights & Permissions [Opens in a new window]

Abstract

While vaccine hesitancy has become a salient issue, few studies have examined the influence of international collaboration and vaccine developments on people's attitudes towards vaccines. The international collaboration especially with China has been an integral part of the field of influenza. In recent years, attitudes towards vaccines and China are both heavily politicized in the USA with a deepening partisan divide. Republicans are more likely than Democrats to be vaccine hesitant, and they are also more likely to view China negatively. At the same time, the USA has economic, security, and medical collaboration with Japan and most Americans display a very positive view of the country. Thus, does a more international collaboration or more country-specific vaccine development have an influence on US vaccine hesitancy? This study conducts a survey-embedded question-wording experiment to assess the roles of US–China and US–Japan collaboration and partisanship in people's willingness to get the flu vaccine. Despite the previously successful and effective US–China collaboration, this study finds that respondents especially Republicans are much less likely to receive a US–China flu vaccine than a US–Japan or USA alone. Interestingly, both Democrats and Republicans are as willing to receive a US–Japan vaccine as USA alone. These results point to critical roles of partisanship and international relations.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press

1. Introduction

While the issue of vaccine hesitancy is not new to the USA, it has become particularly salient during the coronavirus disease-2019 (COVID-19) pandemic. Despite the importance of vaccination to public health, a 2020 public opinion survey shows that about a quarter of the respondents were vaccine hesitant (Hamel et al., Reference Hamel, Kirzinger, Muñana and Brodie2020). Of course, anti-vaccine sentiments are not unique to COVID-19 vaccines. They also affect influenza (flu) vaccines (Suryadevara et al., Reference Suryadevara, Bonville, Rosenbaum and Domachowske2014; Abbas et al., Reference Abbas, Kang, Chen, Werre and Marathe2018; Quinn et al., Reference Quinn, Jamison, An, Hancock and Freimuth2019) and childhood vaccines (such as measles, mumps, and rubella vaccine) (Callender, Reference Callender2016; Motta et al., Reference Motta, Callaghan and Sylvester2018; Benecke and DeYoung, Reference Benecke and DeYoung2019; Callaghan et al., Reference Callaghan, Motta, Sylvester, Trujillo and Blackburn2019). In recent years, attitudes towards vaccines have become more politicized along partisan lines (Sylvester et al., Reference Sylvester, Motta, Trujillo and Callaghan2022). Republican supporters are increasingly more likely than Democrats to be vaccine hesitant (Hamel et al., Reference Hamel, Kirzinger, Muñana and Brodie2020; Jones and McDermott, Reference Jones and McDermott2022; Sylvester et al., Reference Sylvester, Motta, Trujillo and Callaghan2022). At the same time, both Republicans and Democrats have demonstrated significant pushback against globalization and international collaboration. Thus, how does partisanship and international collaboration influence vaccine hesitancy?

Recent studies have examined public attitudes towards international vaccines and in general the results show that citizens tend to favour vaccines developed and produced in their own country (Kreps and Kriner, Reference Kreps and Kriner2021; Motta, Reference Motta2021; Barceló et al., Reference Barceló, Sheen, Tung and Wu2022; Papp and Nkansah, Reference Papp and Nkansah2023). National pride and trust in domestic institutions play a role in explaining vaccine nationalism, but other reasons include perceived quality of vaccines coming from countries such as China and Russia as well as trust in international institutions such as the World Health Organization (WHO) (Chiang et al., Reference Chiang, Kuo and Liu2022; Sheen et al., Reference Sheen, Tung, Wu and Wu2023). While these studies have focused on public opinion and foreign vaccine development and production, few studies have examined the roles of international collaboration in shaping people's attitudes towards vaccines. There is a difference between foreign vaccines and international collaboration in the development of vaccines.

Historically, international collaboration has been critical to vaccine development even if the general public is unaware of foreign involvement in vaccine development. For instance, international collaboration has been an integral part of flu vaccine developments for decades (Liu et al., Reference Liu, Cheng, Yan and Ye2018). WHO collaborating centres (CCs) in Australia, China, Japan, UK, and USA collaborate every year to determine virus strains for seasonal flu vaccines (CDC, 2021). The US Centers for Disease Control and Prevention (US CDC) Influenza Division and the Chinese National Influenza Center (CNIC) of the Chinese Center for Disease Control and Prevention (China CDC) are two of the WHO CCs partaking in the collaboration (WHO, 2023). In fact, US CDC and China CDC have a long history of international collaboration in influenza surveillance and research, dating back to 1989 (Shu et al., Reference Shu, Song, Wang, Greene, Moen, Lee, Chen, Xu, McFarland, Xin, Bresee, Zhou, Chen, Zhang and Cox2019), and this collaboration has saved countless lives over the last several decades.

Given the ongoing international collaboration in the field of influenza, how does it impact people's attitudes towards flu vaccines in the USA? When it comes to impacts of international collaboration, people's sentiments towards the particular collaborative countries play a large role (Aydin et al., Reference Aydin, Özer and Köse2021; Kobayashi et al., Reference Kobayashi, Howell, Heinrich and Motta2022). Public attitudes towards East Asian countries vary. For example, 82% of the US public had negative views towards China in 2022 (Silver, Reference Silver2022), and Republicans are more likely to have negative attitudes towards China (Silver et al., Reference Silver, Huang, Clancy and Fagan2023). However, the attitude towards Japan is more positive and bipartisan (Norman, Reference Norman2018). The reasons behind these attitudes reflect both political and economic. The anti-China sentiment reveals negative responses to US–China trade war and trade deficit as well as a national security risk in East Asia and beyond. At the same time, more favourable attitudes towards Japan signal a more positive market interaction and American perceptions of high-quality products as well as East Asian security and US ally.

This study examines the influence of international collaboration on American public's attitudes towards flu vaccines among partisan individuals. We conducted a survey-embedded question-wording experiment to assess the roles of US–China/US–Japan collaboration and partisanship in willingness to get the flu vaccine. The findings suggest that people are less willing to receive a Food and Drug Administration (FDA)-approved flu vaccine developed through US–China collaboration, compared to an FDA-approved flu vaccine developed through US–Japan collaboration or the USA alone. This means that American public express more vaccine hesitancy when a flu vaccine is developed through US–China collaboration even if it is approved by the US FDA.

The results further suggest that predisposed perceptions of countries (in this case China and Japan) and partisanship influence attitudes towards vaccine collaboration. All respondents, irrespective of political affiliation, are more willing to receive a vaccine developed from Japan–US than China–US collaboration. Moreover, Republicans are significantly less likely to accept an FDA-approved flu vaccine developed through US–China collaboration than a flu vaccine developed through US–Japan collaboration or the USA alone. Among the Democrats, there is no statistically significant difference between the acceptance of an US–China collaborative vaccine and the acceptance of a vaccine developed by the USA alone. Although there is a partisan divide regarding Japan–US collaboration, it is much narrower division compared to China–US collaboration. These results point to the influence of elite cues on public opinion (Zaller, Reference Zaller1992).

2. International collaboration in the influenza field

While average citizens are unaware of the positive historical vaccine collaboration between USA and other countries including China, it is important to summarize collaboration. The USA has a long history of international collaboration in the field of influenza. After WHO recommended the establishment of influenza centres globally, the USA was invited to participate in the programme in 1947 (Culbertson, Reference Culbertson1949). The goal was to isolate new strains of virus and use them to develop vaccine before they reached other parts of the world where they had not spread (Culbertson, Reference Culbertson1949). Currently, the CDC serves as a CC in the WHO Global Influenza Surveillance and Response System (GISRS) (Chow et al., Reference Chow, Davis, Abd Elal, Alabi, Azziz-Baumgartner, Barnes, Blanton, Brammer, Budd, Burns, Davis, Dugan, Fry, Garten, Grohskopf, Gubareva, Jang, Jones, Kniss, Lindstrom, Mustaquim, Porter, Rolfes, Sessions, Taylor, Wentworth, Xu, Zanders, Katz and Jernigan2018). With other international partners, they monitored and characterized viruses (Chow et al., Reference Chow, Davis, Abd Elal, Alabi, Azziz-Baumgartner, Barnes, Blanton, Brammer, Budd, Burns, Davis, Dugan, Fry, Garten, Grohskopf, Gubareva, Jang, Jones, Kniss, Lindstrom, Mustaquim, Porter, Rolfes, Sessions, Taylor, Wentworth, Xu, Zanders, Katz and Jernigan2018).

US–China collaboration dates back to 1989, when the US CDC and the CNIC of the China CDC signed a cooperative agreement (Shu et al., Reference Shu, Song, Wang, Greene, Moen, Lee, Chen, Xu, McFarland, Xin, Bresee, Zhou, Chen, Zhang and Cox2019). Since the agreement, US CDC and CNIC collaborated on influenza surveillance,Footnote 1 and the staff from both agencies visited each other for collaborative research (Shu et al., Reference Shu, Song, Wang, Greene, Moen, Lee, Chen, Xu, McFarland, Xin, Bresee, Zhou, Chen, Zhang and Cox2019). The collaboration deepened during the 2009 and 2013 influenza outbreaks (Shu et al., Reference Shu, Song, Wang, Greene, Moen, Lee, Chen, Xu, McFarland, Xin, Bresee, Zhou, Chen, Zhang and Cox2019; Bouey, Reference Bouey2020). During the 2009 H1N1 flu pandemic, US CDC and China CDC worked closely together and shared data with each other to develop testing kits (Shu et al., Reference Shu, Song, Wang, Greene, Moen, Lee, Chen, Xu, McFarland, Xin, Bresee, Zhou, Chen, Zhang and Cox2019) and a vaccine (Bouey, Reference Bouey2020). During the 2013 H7N9 flu outbreaks, they also worked together on researching the virus (Shu et al., Reference Shu, Song, Wang, Greene, Moen, Lee, Chen, Xu, McFarland, Xin, Bresee, Zhou, Chen, Zhang and Cox2019; Bouey, Reference Bouey2020). The USA and China continued to work together on seasonal flu vaccine developments through the WHO GISRS, and these efforts resulted in the FDA-approved annual flu vaccines in the USA.

Japan is also an active participant in international collaboration on flu vaccine developments as a WHO CC. The USA and Japan established the US–Japan Cooperative Medical Sciences Program in 1965, and held an annual conference titled ‘International Conference on Emerging Infectious Diseases in the Pacific Rim’ to promote scientific collaboration for more than 25 years (Doi et al., Reference Doi, Ishii, Nishizono, Nanbo, Urata, Kurane, Celebrado, Depatillo, Bandola, Griffin, Park, McDonald, Lu, Bernabe and Handley2021; Lu et al., Reference Lu, Yamamoto, McDonald, Li, Tan, Moi, Park, Yoshimatsu, Ricciardone, Hildesheim, Totsuka, Nanbo, Putcharoen, Suwanpimolkul, Jantarabenjakul, Paitoonpong, Handley, Bernabe, Sonoda, Brennan, Griffin and Kurane2021). The programme has facilitated international collaborations on vaccine developments for cholera, hepatitis B, and rotaviruses.Footnote 2

3. Vaccine hesitancy and partisanship in the USA

Prior to the COVID-19 pandemic, few studies examined the influence of partisanship on vaccine hesitancy. Among the few studies, the analyses of 2009 surveys find that Democrats were more willing to get flu vaccines because they had greater trust in the Democrat government's ability to handle the 2009–2010 swine flu outbreak (Mesch and Schwirian, Reference Mesch and Schwirian2015a, Reference Mesch and Schwirian2015b). Joslyn and Sylvester (Reference Joslyn and Sylvester2019) analyse 2015 surveys and find a partisan effect on misbeliefs linking vaccines and autism among educated partisans. Educated Democrats are more likely to have an accurate belief because it aligns well with their partisan inclination to support government programmes and science (Joslyn and Sylvester, Reference Joslyn and Sylvester2019). Yet, historically, anti-vaccine attitudes existed on both sides of the ideological spectrum (Voyles, Reference Voyles2020). In fact, existing studies on flu shots demonstrate that vaccine hesitancy is based on non-partisan issues such as concerns over safety and efficacy (Suryadevara et al., Reference Suryadevara, Bonville, Rosenbaum and Domachowske2014; Abbas et al., Reference Abbas, Kang, Chen, Werre and Marathe2018; Quinn et al., Reference Quinn, Jamison, An, Hancock and Freimuth2019).

Vaccine attitudes have only become more politicized and a partisan issue in the recent years. During the 2016 presidential debates, the Republican presidential candidate Donald Trump promoted misinformation regarding the false link between vaccines and autism (Callender, Reference Callender2016; Suryadevara et al., Reference Suryadevara, Bonville, Cibula, Domachowske and Suryadevara2019). The partisan divide intensified during the COVID-19 pandemic; a survey by the Kaiser Family Foundation finds that vaccine hesitancy was higher among Republicans (42%) than Democrats (12%) in 2020 (Hamel et al., Reference Hamel, Kirzinger, Muñana and Brodie2020). Other studies also show consistent results that Republicans are more likely than Democrats to be vaccine hesitant (Jones and McDermott, Reference Jones and McDermott2022; Sylvester et al., Reference Sylvester, Motta, Trujillo and Callaghan2022). Sylvester et al. (Reference Sylvester, Motta, Trujillo and Callaghan2022) refer to this partisan divide in vaccine hesitancy as ‘asymmetric vaccine hesitancy’. They find that Republicans with a moderate level of party attachment become more willing to get COVID-19 vaccines when they hear that Republican politicians have received the vaccines (Sylvester et al., Reference Sylvester, Motta, Trujillo and Callaghan2022). This suggests that elite cues impact public attitudes (Zaller, Reference Zaller1992).

While the partisan divide in vaccine hesitancy is clear, what remains unclear is how international collaboration in vaccine development influences partisan individuals' vaccination intentions. Current studies on the influence of international collaboration on COVID-19 vaccination intentions are not conclusive. Although many studies suggest citizens prefer domestically developed vaccines (Kreps and Kriner, Reference Kreps and Kriner2021; Motta, Reference Motta2021; Barceló et al., Reference Barceló, Sheen, Tung and Wu2022; Papp and Nkansah, Reference Papp and Nkansah2023), there are favourable foreign vaccines. Wong et al. (Reference Wong, Alias, Danaee, Ahmed, Lachyan, Cai, Lin, Hu, Tan, Lu, Cai, Nguyen, Seheli, Alhammadi, Madhale, Atapattu, Quazi-Bodhanya, Mohajer, Zimet and Zhao2021) find that about 75% of survey respondents in the USA would only take a COVID-19 vaccine that is produced by certain countries. Kobayashi et al. (Reference Kobayashi, Howell and Heinrich2021) find that the American survey respondents' vaccination intention does not differ between COVID-19 vaccines produced in the USA and Germany. Thus, it remains unclear how the US–China or US–Japan collaboration on flu vaccine impacts people's vaccination intention in the USA. The public perception of a bilateral relationship and partisan positions on such a relationship is key to understanding the impact of the international collaboration on vaccine hesitancy among partisan individuals.

4. Public opinion on international collaborations: China and Japan

The percentage of Americans with unfavourable views of China hits a new high of 82% in April 2022, and the shift towards unfavourable views is especially pronounced among Republicans (Silver, Reference Silver2022). While the current level of negative sentiment towards China is likely fuelled by the US–China Trade War and hostile rhetoric during the COVID-19 pandemic, the partisan divide in US public opinion of China is not new. Research by Peter Gries and co-authors showed that Republicans and self-identified ‘conservatives’ perceive a greater threat from China and support a tougher US foreign policy towards China than Democrats and self-identified ‘liberals’ did in 2008 (Gries and Crowson, Reference Gries and Crowson2010). In a 2011 survey, Gries further establishes that this partisan divide stems from conservatives having less favorable views than liberals towards communist countries and China, combining racial prejudice with ideological antagonism (Gries, Reference Gries2014). Thus, Republicans may be less likely to get the flu vaccine from a US–China collaboration than Democrats.

US–Japan collaboration can serve as a point of reference. While Japan is another East Asian country that also participates in the international collaboration in flu vaccine developments, American perceptions of Japan are drastically different from those of China. American citizens have had consistently favourable views of Japan since the late 1990s,Footnote 3 and the favourable view exceeded 80% in 2023.Footnote 4 The steadily favourable views stem from Americans' positive image of Japanese and the US–Japan bilateral allyship (Nam, Reference Nam2019). This level of favourability is constant regardless of age, gender, income, education, or political views (Norman, Reference Norman2018). In other words, unlike the case of China, there is no partisan divide in Americans' attitudes towards Japan (Nam, Reference Nam2019). Both Republicans and Democrats view Japan positively. Thus, American citizens may prefer US–Japan collaboration over US–China collaboration with an absence of a partisan divide towards US–Japan collaboration.

Nonetheless, when it comes to vaccines, we expect strong preference for domestically developed vaccines. Barceló et al. (Reference Barceló, Sheen, Tung and Wu2022) suggest that ‘vaccine nationalism’ should be prevalent in nations that trust the quality and integrity of their own medical establishment. This includes trust in government institutions such as the CDC and FDA.

This leads to three hypotheses. If respondents are averse to international collaboration due to xenophobia or nationalism alone, then respondents may feel averse to both US–China and US–Japan collaboration in flu vaccines. This international collaboration and vaccine nationalism hypothesis reflects American aversion to global or regional (East Asian) health-related collaboration and a stronger connection with American medical institutions and companies.

However, respondents may be more sensitive to specific countries rather than general international or regional collaboration. Indeed, Kobayashi et al. (Reference Kobayashi, Howell, Heinrich and Motta2022) find that having a history of conflicts with a country negatively impacts attitudes towards vaccines that come from the country. An image of a country impacts public perceptions of vaccines from the country (Aydin et al., Reference Aydin, Özer and Köse2021). Given the general public predispositions towards China and Japan, we expect less willingness to receive a vaccine through US–China collaboration than US–Japan vaccine development.

Partisanship is also an important factor that may influence vaccine hesitancy and international collaboration. Republicans tend to be less accepting of international collaboration as opposed to Democrats especially with China. The partisan hypothesis proposes a significant partisan division regarding the willingness to receive vaccines developed through international collaboration.

Vaccine nationalism (H1): The majority of respondents prefer domestically developed (USA alone) vaccines over vaccines developed through US–China and US–Japan collaboration.

Country-specific hypothesis (H2): Respondents are more willing to receive a US–Japan vaccine than a US–China.

Partisan hypothesis (H3): Respondents display significant partisan division regarding the willingness to receive vaccines developed through international collaboration.

5. Research design and measures

To test the hypotheses, we employ a survey-embedded question-wording experiment in which respondents were asked whether they would get the FDA-approved flu vaccine developed through different channels. Dynata implemented the survey experiment in August 2022. Dynata uses a voluntary online panel of respondents selected to match the US adult population demographics. It is a non-probability sample, but they are more representative of the broader US adult populations than other convenience samples (e.g. students). Besides, online-convenient samples are indistinguishable from population-based samples when inferring treatment effects (Coppock et al., Reference Coppock, Leeper and Mullinix2018). Sample demographics are available in the Supplementary materials.

In our sample of 1,334 adults, respondents were randomly assigned to one of the three questions about their willingness to get the flu vaccine that was developed by the USA alone (control group, N = 449), US–China collaboration (N = 439), or US–Japan collaboration (N = 446). We selected China and Japan as the country-specific examples for several reasons. First, both countries are ethnically and culturally different from the USA. For many Americans, China and Japan are very different from the USA regarding language, food, customs, and history. This reflects the foreign and international aspects of the study. Second, while both countries are Asian, they have very different political systems. Japan is much closer to the USA than China including democratic political system as well as US military presence and security interests. At the same time, political differences and tensions have defined US–China relations for decades. These similarities and differences make Japan and China critical cases for this study.

Thus, our experimental manipulation is the international collaboration/origin of the FDA-approved flu vaccine (see the Supplementary materials for more details). Survey questions have the response options of ‘Yes’, ‘No’, or ‘Don't Know’. Respondents' answers to the questions about their willingness to get vaccinated constitute the dependent variable. The dependent variable, vaccination willingness, is coded as a categorical variable: 0 = No; 1 = Don't Know; 2 = Yes. Multinomial logistic regression models are used to test our hypotheses, as suggested by Kleinberg and Fordham (Reference Kleinberg and Fordham2017).Footnote 5

As discussed earlier, partisanship affects vaccine hesitancy (Joslyn and Sylvester, Reference Joslyn and Sylvester2019; Suryadevara et al., Reference Suryadevara, Bonville, Cibula, Domachowske and Suryadevara2019; Jones and McDermott, Reference Jones and McDermott2022; Sylvester et al., Reference Sylvester, Motta, Trujillo and Callaghan2022) and views towards China and US–China relationship (Gries and Crowson, Reference Gries and Crowson2010; Gries, Reference Gries2014). Thus, this suggests heterogeneity in the effect of international collaboration on vaccine hesitancy across partisanship.Footnote 6 This survey assesses partisanship by a standard 7-point measure ranging from strong Democrat to strong Republican. We code partisanship as a dichotomous variable (0 = Democrat or 1 = Republican) (‘leaners’ is coded as partisans, those who claim Independent or other party are dropped). Supplementary materials show the results of partisanship including Independents and supporters of other parties.

A random assignment of international collaboration stimuli is used in our experimental design, but partisanship is not randomly assigned. According to Kam and Trussler (Reference Kam and Trussler2017), control variables should be added for testing heterogeneous treatment effects if moderating variables are not randomly assigned. Thus, we control for age, gender, race, education, income, and political knowledge.

6. Results

Table 1 shows the percentage of respondents who would get the FDA-approved flu vaccine by experimental condition. Fifty-three per cent of respondents would get the vaccine developed by the US–Japan collaboration, and 48% would receive the vaccine developed by the USA alone. In contrast, only 40% would get the vaccine from the US–China collaboration. The predicted probabilities show that people who would get the vaccine from the US–Japan collaboration and the USA alone are 0.47 and 0.53. It drops to 0.40 when the vaccine is from the US–China collaboration. It shows that all respondents are less inclined to receive a flu vaccine from the US–China collaboration. The significant difference between China and Japan suggests vaccine hesitancy is county specific rather than a broader based anti-foreign attitude. This supports the county-specific hypothesis (H2).

Table 1. Respondents' vaccination willingness by experimental condition

Note: % Yes refers to the raw percentage getting the vaccine this year; predicted probabilities are based on a logistic regression model (model 1 of Table 3-3 in the Supplementary materials) and the 95% confidence intervals are enclosed within square brackets; Z-scores are from difference-in-proportions tests comparing treatments to control.

*P < 0.05.

The Z-score from difference-in-proportions tests comparing the US–China collaboration group to the USA alone is −2.54 (P = 0.011). It attains the α = 0.05 level of statistical significance. This indicates that the percentage of respondents willing to receive the flu vaccine from the US–China collaboration is significantly lower than that of respondents willing to receive the vaccine developed by USA alone. However, there is no statistically significant difference between the percentages of respondents willing to receive the flu vaccine from the US–Japan collaboration and the USA alone (Z-score = 1.51, P = 0.132).

Since the country-specific hypothesis (H2) expects a distinction between US–China and US–Japan collaboration, there is also a need to conduct a difference-in-proportions test comparing the US–China collaboration group to the US–Japan collaboration group. The Z-score from the test is −4.03 and it attains the α = 0.005 level of statistical significance. Combined with the results from Table 1, this means that the US–China collaboration is less preferred than both USA alone and US–Japan collaboration. Therefore, the results are consistent with the country-specific hypothesis (H2) that respondents are less willing to receive a flu vaccine from the US–China collaboration than from the US–Japan collaboration.

Table 2 shows the percentage of respondents willing to receive the FDA-approved vaccine by experimental condition and partisanship. The existing research suggests that partisanship affects vaccination rate and vaccine hesitancy (Joslyn and Sylvester, Reference Joslyn and Sylvester2019; Suryadevara et al., Reference Suryadevara, Bonville, Cibula, Domachowske and Suryadevara2019; Jones and McDermott, Reference Jones and McDermott2022; Sylvester et al., Reference Sylvester, Motta, Trujillo and Callaghan2022). This study's result is in line with the previous studies' findings that Republicans are more vaccine hesitant (Jones and McDermott, Reference Jones and McDermott2022; Sylvester et al., Reference Sylvester, Motta, Trujillo and Callaghan2022). A higher percentage of Democrats (than Republicans) would receive the FDA-approved flu vaccine under all three conditions. For example, 59.28% of Democrats would receive the flu vaccine developed by the USA alone, but only 38.1% of Republicans would receive the same vaccine.

Table 2. Respondents' vaccination willingness by condition and partisanship

Note: % Yes refers to the raw percentage getting the vaccine this year; predicted probabilities are based on a logistic regression model (model 2 of Table 3-3 in the Supplementary materials) and the 95% confidence intervals are enclosed within square brackets; Z-scores are from difference-in-proportions tests comparing treatments to control for each party.

*P < 0.05.

Table 2 also compares respondents' vaccination willingness across different conditions within each party, revealing a notable pattern of partisan responses. Among Democrats, Z-scores from difference-in-proportions tests comparing treatment groups (US–China collaboration and US–Japan collaboration) to the control group (USA alone) do not attain conventional levels of statistical significance. It shows that Democrats do not make a significant preferential distinction between US–China collaboration and USA alone or a distinction between US–Japan collaboration and USA alone.

However, Republicans' responses show a different pattern in Table 2. Among Republicans, 45% of them would get the vaccine from the US–Japan collaboration, and 38% of them would receive the vaccine from the USA alone, but only 27% of them would receive the vaccine from the US–China collaboration. While a higher percentage of Republicans are willing to receive the vaccine from the US–Japan collaboration than the vaccine from the USA alone, the Z-score is not statistically significant (P = 0.250). When it comes to the vaccine from the US–China collaboration, the percentage of Republicans willing to receive the vaccine from the US–China collaboration is significantly lower than the percentage of willingness to receive the vaccine developed by the USA alone (Z-score = −1.98, P = 0.048). The different patterns of partisan responses suggest that there exists heterogeneity in the effect of the indication of US–China collaboration across partisanship and support the partisan hypothesis (H3).

The multinomial regression analyses presented in Table 3 also show consistent results. The baseline comparison group is ‘No’ category for all models. The coefficient for US–China collaboration in model 1 ‘Yes’ category is negative and statistically significant (P = 0.02). The −0.385 coefficient of US–China collaboration under model 1 (‘Yes’ category) suggests that when vaccine origin increases by one unit (i.e. from 0 [USA alone] to 1 [US–China collaboration]), the expected change in the log-odds of getting vaccinated decreases by 0.385 than not getting vaccinated holding all other variables in the model constant. Thus, model 1 indicates that respondents are less willing to receive the FDA-approved flu vaccine from the US–China collaboration compared to the vaccine developed by the USA alone.

Table 3. Multinomial logistic regression on vaccination willingness

The omitted category in the multinomial logit models is ‘No’; robust standard errors in parentheses.

*P < 0.05, **P < 0.01, ***P < 0.001.

One unexpected result is the rejection of the vaccine nationalism hypothesis (H1). The H1 expected the respondents to prefer domestically developed (USA alone) vaccines over vaccines developed through both US–China and US–Japan collaboration. While the respondents evidently prefer USA alone vaccines over US–China collaborative vaccines, the distinction between USA alone vaccines and US–Japan collaborative vaccines is less clear. The results in Table 3, model 1 ‘Yes’ category shows that the log-odds of getting vaccinated increases by 0.347 when a vaccine comes from US–Japan collaboration compared to USA alone. This increase is statistically significant at P-value <0.05. However, this positive relationship is not robust across different measurements of vaccination willingness (see the Supplementary materials). In fact, the result of the difference-in-proportions test in Table 1 showed that there is no statistically significant distinction between US–Japan collaboration and USA alone. Nonetheless, these results at least suggest that respondents prefer a vaccine developed from Japan–US collaboration as much as a vaccine developed by the USA alone.

For the vaccine nationalism hypothesis (H1) to be supported, there must be a statistically significant preference for USA alone over US–Japan collaboration. Yet, this is not the case. The results from Tables 13 consistently suggest that there is no statistically significant distinction in vaccination willingness between USA alone and US–Japan collaboration. Accordingly, the results do not support H1. The greater support for US–Japan collaboration suggests that international vaccine collaboration is acceptable. More discussion follows in the subsequent section.

In order to further examine a heterogeneity in the effect of indicating US–China collaboration across partisanship, model 2 ‘Yes’ category in Table 3 introduces the interaction between experimental conditions and partisanship. The interaction coefficients in model 2 ‘Yes’ category are not statistically significant, but the lack of statistical significance in interaction coefficients does not necessarily mean that there is no interaction effect. To better interpret the interaction effect, Figure 1 plots the change in respondents' vaccination willingness by experimental condition and by the party.

Figure 1. Effect on probability of getting vaccine.

Notes: This figure shows the change in predicted probability of getting vaccine by experimental treatments and partisanship with 95% confidence intervals. The value 0 is the control condition. Positive values indicate an increase and negative values indicate a decrease in probability. The figure is from model 2 (‘Yes’ category) in Table 3.

Figure 1 shows that the indication of US–China collaboration reduces Republicans' willingness to get the vaccine, but US–China collaboration does not make Democrats' willingness to receive the vaccine significantly lower. With the USA alone as a reference category, an indication of a collaboration with China suppresses the vaccination willingness among both Republicans and Democrats, but the effect is statistically significant only among Republicans. An indication of a collaboration with Japan lifts the vaccination willingness for both partisans, but the effect is not statistically significant among either party supporters. In short, there exists heterogeneity in the effect of indicating US–China collaboration across partisanship.

The results of the analysis are robust across different operationalizations of vaccination willingness. The results of robustness check are available in the Supplementary materials. The results are consistent (1) when ‘Don't know’ is dropped, (2) when vaccination willingness is measured as an ordinal variable, and (3) when vaccination willingness is coded as a binary variable where 1 = Yes and 0 = Otherwise.

The models in Table 3 control for age, gender, race, education, income, and political knowledge. Respondents' age, race, and income do not consistently predict their vaccination willingness. Women seem less inclined to receive the flu vaccine. Those with a higher level of education and more political knowledge are more willing to accept the vaccine. Additionally, partisanship in model 1 (‘Yes’ category) is a categorical variable where 0 is coded as Democrat, 1 as Independent, 2 as Republican, and 3 as other party. The results in model 1 (‘Yes’ category) suggest that Democrats are more willing to receive the FDA-approved vaccine than non-Democrats. Models 1 and 2 ‘Don't Know’ category suggest that respondents are not less or more likely to choose ‘Don't Know’ when they were exposed to the FDA-approved flu vaccines from the US–China Collaboration and US–Japan Collaboration.

7. Discussion and conclusion

This study finds that respondents are less willing to get a flu vaccine from the FDA-approved US–China collaboration than a US–Japan and USA alone. The irony is that the USA and China have collaborated for over two decades and have contributed to the annual flu shots among Americans. Indeed, most respondents acknowledged that they have received a flu vaccine in the past and these most likely were the result of US–China collaboration. However, the political landscape has changed in recent years and preconceived notions of China as well as Japan have an influence on perceptions of medical science. In addition, there are strong partisan differences in the degree of willingness. Republican respondents are less willing to receive an FDA-approved flu vaccine developed through US–China collaboration than Democrats. This partisan divide stems from politicized views of China along the partisan line.

The findings also suggest that international vaccine collaboration itself is accepted by the public, and the opposition stems from collaborations with certain countries such as China. Respondents are less willing to get a flu vaccine from US–China collaboration than US–Japan collaboration and USA alone. On the contrary, there is no obvious preference between US–Japan collaborative vaccines and USA alone vaccines. This indicates that the views of medical collaboration do not stem from vaccine nationalism, xenophobia, or general opposition against international collaboration alone. Rather, American citizens are wary of a collaboration with a certain country. Thus, the views of medical collaboration largely stem from images of collaborative countries (see also Aydin et al., Reference Aydin, Özer and Köse2021; Kobayashi et al., Reference Kobayashi, Howell, Heinrich and Motta2022).

For instance, public opinion survey data show that negative attitudes towards China have been deepening among American citizens. After remaining below 50% for much of the 2000s, unfavourable views towards China rose steadily since 2012, accelerating during the Trump administration to 60% unfavourable in 2018 with the launch of the US–China Trade War and attaining 79% unfavourable in 2020 after President Trump repeatedly blamed the COVID-19 on China (Silver, Reference Silver2022). There is a heterogeneity in the views based on partisanship. According to a 2021 survey, 73% of Republicans support restricting US–China collaboration in scientific research, while 59% of Democrats oppose such restrictions (Kafura and Smeltz, Reference Kafura and Smeltz2021).

On the contrary, Americans have a positive view of Japanese, and the result of US–Japan collaboration more favoured than US–China collaboration follow the preconceived positive notion of Japan observed in the broader public opinion survey results. Favourable views towards Japan were 62% in 1998 and remained above 60% during the 2000s. In fact, it has increased since then, with 74% favourable in 2015. In 2019, 71% of Americans stated that the USA should cooperate more with Japan.Footnote 7 According to a 2015 Pew poll, 94% of American respondents believe Japanese are hardworking, 75% said they are inventive, and 71% said the Japanese are honest.Footnote 8 Nam (Reference Nam2019) finds that Americans' trust in Japan is associated with their image of Japanese as honest, inventive, and hardworking.

There is also a market-driven trust based on perceived high quality of Japanese products. Economic factors play roles in building public perception of a country. In the 1980s and early 1990s, anti-Japanese sentiment was high due to the influx of Japanese imports from electronics to cars. According to Gallup polls, American attitudes towards Japan hit a low in 1994 and 1995 with only 46% respondents with a favourable view.Footnote 9 Attitudes towards Japan and Japanese products changed by the late 1990s and continue today due to the acknowledgement of affordable high-quality products. There are many stand out Japanese brands such as Honda and Toyota as well as Sony, Nintendo, and Toshiba. Although many products are made or assembled in China, there are few stand out brands and those that get attention are usually under a negative light such as Huawei. Americans are not only aware of quality Japanese products, but the USA is one of the top Japan's consumers. For example, in 2017, Japanese automakers constitute 40% of the American auto market.Footnote 10 The views of US–Japan collaboration, especially in the field of medical products such as vaccines, may be associated with American perception of Japan's high-tech and quality product reputation. It may also be motivated by the US–Japan security relationship to balance against China.

Yet, the irony is that US–China collaboration is critical to both developments of vaccines in the USA and around the world. As the COVID-19 pandemic demonstrates, public health is a global issue that transcends state borders. In fact, even greater international collaboration is needed in public health issues including vaccine developments. This is also applicable to US–China collaboration. A greater US–China collaboration is critical and beneficial to global public health regardless of the partisan divisions. However, curbing US–China collaboration efforts with vaccines for political reasons will only hurt the American public.

This study sheds light on the political nature of vaccine hesitancy in the USA. This may be contrasted to non-political sources of vaccine hesitancy in some other countries. For instance, vaccine hesitancy is largely based on practical considerations in China (Yang et al., Reference Yang, Penders and Horstman2020). It attributes to vaccine safety concerns that stem from past vaccine-related scandals such as the violation of manufacturing standards by Changchun Changsheng Biotechnology Company in 2018 (Du et al., Reference Du, Chantler, Francis, Sun, Zhang, Han, Rodewald, Yu, Tu, Larson and Hou2020; Yang et al., Reference Yang, Penders and Horstman2020). Future studies can further investigate the differences between political vs practical sources of vaccine hesitancy in China as well as across different country contexts or different societal groups.

The current study has three limitations. First, future studies need to further investigate other factors that underpin individuals' attitudes towards international collaboration in the medical field, including vaccine development. The factors to be further investigated include trust in government institutions and trust in the incumbent government. Second, this study is also a single-year study, and more surveys should be conducted across various time points under different incumbent governments and partisan discourses. Finally, future studies should also consider if certain modes of international collaboration and different degrees of the collaboration's publicity impact vaccine attitudes.

Finally, there are several policy implications for curtailing vaccine hesitancy in the USA. First, since there is a clear partisan effect in vaccine hesitancy, more attention needs to be paid to political roots of vaccine hesitancy including roles of politicians, political parties, and their rhetoric about vaccines. The efforts to curtail vaccine hesitancy need to consider political factors. Second, this study also sheds light on international politics and politicized views of international relations. This includes preconceived notions of other nations rather than international vs domestic perceptions. While global public health requires an even greater international collaboration, a conflation of international politics and global health may hinder people's health around the world. State and international actors need to show a greater commitment to and raise awareness about importance and benefits of international collaboration in the fields of public health.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S1468109924000021. The link to the replication data is: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/BYAFJR

Competing interests

None.

Rigao Liu is a Ph.D. candidate ffrom the Department of Political Science at the University of Kansas. His research interests include social science experiments, social policy, comparative and international political economy.

Haruka Nagao is an assistant professor in the Political Science Department at Oklahoma State University. Her/Their research focuses on Chinese politics, health politics, gender and politics.

William Hatungimana is a visiting assistant professor at Oklahoma State University. His specialization is in comparative politics and international relations (IR). His research interests include migration and immigration politics, China politics, and African politics.

Jiakun Jack Zhang is an assistant professor in the Department of Political Science at the University of Kansas. He also directs the KU Trade War Lab and his research explores the political economy of trade and conflict in East Asia.

John James Kennedy is a professor and chair of the Political Science Department at the University of Kansas. His research covers local governance and social development including local elections, tax reform, family planning, health care, and the cadre management system.

Footnotes

1 See CNIC ‘About CNIC’, https://ivdc.chinacdc.cn/cnic/en/Aboutus/.

2 See National Institute of Allergy and Infectious Diseases (https://www.niaid.nih.gov/research/us-japan-cooperative-medical-sciences-program-organization-and-history) and Japan Agency for Medical Research and Development (https://www.amed.go.jp/program/list/20/01/007.html).

3 Pew Global Attitudes Project survey data, accessible at https://www.pewresearch.org/question-search/.

4 Gallup ‘Canada, Britain Favored Most in U.S.; Russia, N. Korea Least’, https://news.gallup.com/poll/472421/canada-britain-favored-russia-korea-least.aspx.

5 Supplementary materials show the results of vaccination willingness coded as a dichotomous variable with those who choose ‘Don't Know’ dropped, vaccination willingness as an ordinal variable (0 = No, 1 = Don't Know, and 2 = Yes), and vaccination willingness as a binary variable (0 = Otherwise, 1 = Yes).

6 While we expect heterogeneity in the effect of international collaboration across partisanship, we don't assume that partisanship is necessarily the cause of this moderation. In other words, we assume the presence of ‘descriptive moderation’ in terms of treatment-effect heterogeneity, as opposed to ‘causal moderation’ (Bansak, Reference Bansak2021).

7 Pew Global Attitudes Project survey data, accessible at https://www.pewresearch.org/question-search/.

8 See https://www.pewresearch.org/global/2015/04/07/americans-japanese-mutual-respect-70-years-after-the-end-of-wwii/. In addition, the survey shows the Japanese views of Americans are not alike. For example, in the same survey, only 25% of Japanese believe Americans are hardworking and only 37% think they are honest.

References

Abbas, KM, Kang, GJ, Chen, D, Werre, SR and Marathe, A (2018) Demographics, perceptions, and socioeconomic factors affecting influenza vaccination among adults in the United States. PeerJ 6, e5171.CrossRefGoogle ScholarPubMed
Aydin, K, Özer, E and Köse, G (2021) Analyzing attitude towards COVID-19 vaccine in the context of the health industry: the role of country of origin image. Duzce Medical Journal 23 (Special Issue), 122130. https://doi.org/10.18678/dtfd.861952CrossRefGoogle Scholar
Bansak, K (2021) Estimating causal moderation effects with randomized treatments and non-randomized moderators. Journal of the Royal Statistical Society, Series A: Statistics in Society 184, 6586.CrossRefGoogle Scholar
Barceló, J, Sheen, GC-H, Tung, HH and Wu, W-C (2022) Vaccine nationalism among the public: a cross-country experimental evidence of own-country bias towards COVID-19 vaccination. Social Science & Medicine 310, 115278.CrossRefGoogle ScholarPubMed
Benecke, O and DeYoung, SE (2019) Anti-vaccine decision-making and measles resurgence in the United States. Global Pediatric Health 6, 2333794X19862949.CrossRefGoogle ScholarPubMed
Bouey, J (2020) From SARS to 2019-coronavirus (NCoV): U.S.–China collaborations on pandemic response. RAND Corporation. Available at https://www.rand.org/pubs/testimonies/CT523.htmlCrossRefGoogle Scholar
Callaghan, T, Motta, M, Sylvester, S, Trujillo, KL and Blackburn, CC (2019) Parent psychology and the decision to delay childhood vaccination. Social Science & Medicine 238, 112407.CrossRefGoogle ScholarPubMed
Callender, D (2016) Vaccine hesitancy: more than a movement. Human Vaccines & Immunotherapeutics 12, 24642468.CrossRefGoogle Scholar
CDC (2021) CDC's World Health Organization collaborating center. Centers for Disease Control and Prevention. Available at https://www.cdc.gov/flu/weekly/who-collaboration.htmGoogle Scholar
Chiang, C-F, Kuo, J and Liu, J-T (2022) Cueing quality: unpacking country-of-origin effects on intentions to vaccinate against COVID-19 in Taiwan. Social Science & Medicine 314, 115403.CrossRefGoogle Scholar
Chow, EJ, Davis, CT, Abd Elal, AI, Alabi, N, Azziz-Baumgartner, E, Barnes, J, Blanton, L, Brammer, L, Budd, AP, Burns, E, Davis, WW, Dugan, VG, Fry, AM, Garten, R, Grohskopf, LA, Gubareva, L, Jang, Y, Jones, J, Kniss, Krista, Lindstrom, S, Mustaquim, D, Porter, R, Rolfes, M, Sessions, W, Taylor, C, Wentworth, DE, Xu, X, Zanders, N, Katz, J and Jernigan, D (2018) Update: influenza activity – United States and worldwide, May 20–October 13, 2018. Morbidity and Mortality Weekly Report 67, 11781185. https://doi.org/10.15585/mmwr.mm6742a3CrossRefGoogle Scholar
Coppock, A, Leeper, TJ and Mullinix, KJ (2018) Generalizability of heterogeneous treatment effect estimates across samples. Proceedings of the National Academy of Sciences 115, 1244112446.CrossRefGoogle ScholarPubMed
Culbertson, JT (1949) Plans for United States cooperation with the World Health Organization in the international influenza study program. American Journal of Public Health and the Nation's Health 39, 3743. https://doi.org/10.2105/AJPH.39.1.37CrossRefGoogle ScholarPubMed
Doi, Y, Ishii, K, Nishizono, A, Nanbo, A, Urata, S, Kurane, I, Celebrado, JC, Depatillo, JP, Bandola, Z, Griffin, DE, Park, EC, McDonald, D, Lu, K, Bernabe, KG and Handley, G (2021) US–Japan cooperative medical sciences program's virtual workshop on COVID-19. Emerging Infectious Diseases 27, e211779.CrossRefGoogle Scholar
Du, F, Chantler, T, Francis, MR, Sun, FY, Zhang, X, Han, K, Rodewald, L, Yu, H, Tu, S, Larson, H and Hou, Z (2020) The determinants of vaccine hesitancy in China: a cross-sectional study following the Changchun Changsheng vaccine incident. Vaccine 38, 74647471.CrossRefGoogle Scholar
Gries, PH (2014) ‘Red China’ and the ‘yellow peril’: how ideology divides Americans over China. Journal of East Asian Studies 14, 317346.CrossRefGoogle Scholar
Gries, PH and Crowson, HM (2010) Political orientation, party affiliation, and American attitudes towards China. Journal of Chinese Political Science 15, 219244.CrossRefGoogle Scholar
Hamel, L, Kirzinger, A, Muñana, C and Brodie, M (2020) KFF COVID-19 vaccine monitor: December 2020. Kaiser Family Foundation. Available at https://www.kff.org/coronavirus-covid-19/report/kff-covid-19-vaccine-monitor-december-2020/Google Scholar
Jones, DR and McDermott, ML (2022) Partisanship and the politics of COVID vaccine hesitancy. Polity 54, 408434.CrossRefGoogle Scholar
Joslyn, MR and Sylvester, SM (2019) The determinants and consequences of accurate beliefs about childhood vaccinations. American Politics Research 47, 628649.CrossRefGoogle Scholar
Kafura, C and Smeltz, D (2021) Republicans and Democrats split on China policy. Chicago Council on Global Affairs. Available at https://globalaffairs.org/research/public-opinion-survey/republicans-and-democrats-split-china-policyGoogle Scholar
Kam, CD and Trussler, MJ (2017) At the nexus of observational and experimental research: theory, specification, and analysis of experiments with heterogeneous treatment effects. Political Behavior 39, 789815.CrossRefGoogle Scholar
Kleinberg, KB and Fordham, BO (2017) Don't know much about foreign policy: assessing the impact of ‘don't know’ and ‘No opinion’ responses on inferences about foreign policy attitudes. Foreign Policy Analysis 14, 429448. doi: http://academic.oup.com/fpa/advance-article/doi/10.1093/fpa/orw060/3052690Google Scholar
Kobayashi, Y, Howell, C and Heinrich, T (2021) Vaccine hesitancy, state bias, and COVID-19: evidence from a survey experiment using phase-3 results announcement by BioNTech and Pfizer. Social Science & Medicine 282, 114115.CrossRefGoogle Scholar
Kobayashi, Y, Howell, C, Heinrich, T and Motta, M (2022) Investigating how historical legacies of militarized violence can motivate COVID-19 vaccine hesitancy: evidence from global dyadic survey. Social Science & Medicine 311, 115346.CrossRefGoogle ScholarPubMed
Kreps, SE and Kriner, DL (2021) Factors influencing COVID-19 vaccine acceptance across subgroups in the United States: evidence from a conjoint experiment. Vaccine 39, 32503258.CrossRefGoogle ScholarPubMed
Liu, Y, Cheng, Y, Yan, Z and Ye, X (2018) Multilevel analysis of international scientific collaboration network in the influenza virus vaccine field: 2006–2013. Sustainability 10, 1232.CrossRefGoogle Scholar
Lu, KT, Yamamoto, T, McDonald, D, Li, W, Tan, M, Moi, ML, Park, E-C, Yoshimatsu, K, Ricciardone, M, Hildesheim, A, Totsuka, Y, Nanbo, A, Putcharoen, O, Suwanpimolkul, G, Jantarabenjakul, W, Paitoonpong, L, Handley, FG, Bernabe, KG, Sonoda, M, Brennan, P, Griffin, D and Kurane, I (2021) US–Japan cooperative medical sciences program: 22nd international conference on emerging infectious diseases in the Pacific rim. Virology 555, 7177.CrossRefGoogle Scholar
Mesch, GS and Schwirian, KP (2015a) Confidence in government and vaccination willingness in the USA. Health Promotion International 30, 213221.CrossRefGoogle ScholarPubMed
Mesch, GS and Schwirian, KP (2015b) Social and political determinants of vaccine hesitancy: lessons learned from the H1N1 pandemic of 2009–2010. American Journal of Infection Control 43, 11611165.CrossRefGoogle ScholarPubMed
Motta, M (2021) Can a COVID-19 vaccine live up to Americans’ expectations? A conjoint analysis of how vaccine characteristics influence vaccination intentions. Social Science & Medicine 272, 113642.CrossRefGoogle Scholar
Motta, M, Callaghan, T and Sylvester, S (2018) Knowing less but presuming more: dunning-Kruger effects and the endorsement of anti-vaccine policy attitudes. Social Science & Medicine 211, 274281.CrossRefGoogle ScholarPubMed
Nam, T (2019) What makes US citizens trust Japan? Examining the influence of national image, bilateral compatibility, and issue awareness. Asian Perspective 43, 145175.CrossRefGoogle Scholar
Norman, J (2018) Favorable views of Japan, China keep climbing. Gallup. Available at https://news.gallup.com/poll/228638/favorable-views-japan-china-keep-climbing.aspxGoogle Scholar
Papp, Z and Nkansah, GB (2023) The political component of COVID-19 vaccine choice: results from a conjoint experiment. Public Health 217, 3340.CrossRefGoogle ScholarPubMed
Quinn, SC, Jamison, AM, An, J, Hancock, GR and Freimuth, VS (2019) Measuring vaccine hesitancy, confidence, trust and flu vaccine uptake: results of a national survey of white and African American adults. Vaccine 37, 11681173.CrossRefGoogle ScholarPubMed
Sheen, GC-H, Tung, HH, Wu, C-H and Wu, W-C (2023) WHO approves? Relative trust, the WHO, and China's COVID-19 vaccines. The Review of International Organizations 18, 499521.CrossRefGoogle Scholar
Shu, Y, Song, Y, Wang, D, Greene, CM, Moen, A, Lee, CK, Chen, Y, Xu, X, McFarland, J, Xin, L, Bresee, J, Zhou, S, Chen, Tao, Zhang, R and Cox, N (2019) A ten-year China–US laboratory collaboration: improving response to influenza threats in China and the world, 2004–2014. BMC Public Health 19, 520.CrossRefGoogle Scholar
Silver, L (2022) Some Americans’ views of China turned more negative after 2020, but others became more positive. Pew Research Center. Available at https://www.pewresearch.org/fact-tank/2022/09/28/some-americans-views-of-china-turned-more-negative-after-2020-but-others-became-more-positive/Google Scholar
Silver, L, Huang, C, Clancy, L and Fagan, M (2023) Americans are critical of China's global role – as well as its relationship with Russia. Pew Research Center. Available at https://www.pewresearch.org/global/2023/04/12/americans-are-critical-of-chinas-global-role-as-well-as-its-relationship-with-russia/Google Scholar
Suryadevara, M, Bonville, CA, Rosenbaum, PF and Domachowske, JB (2014) Influenza vaccine hesitancy in a low-income community in central New York State. Human Vaccines & Immunotherapeutics 10, 20982103.CrossRefGoogle Scholar
Suryadevara, M, Bonville, CA, Cibula, DA, Domachowske, JB and Suryadevara, AC (2019) Associations between population based voting trends during the 2016 US presidential election and adolescent vaccination rates. Vaccine 37, 11601167.CrossRefGoogle ScholarPubMed
Sylvester, S, Motta, M, Trujillo, KL and Callaghan, T (2022) Vaccinating across the aisle: using co-partisan source cues to encourage COVID-19 vaccine uptake in the ideological right. Journal of Behavioral Medicine 46, 113.Google ScholarPubMed
Voyles, TB (2020) Green Lovin’ Mamas don't Vax! The pseudo-environmentalism of anti-vaccination discourse. Studies in the Humanities 46, 122. Available at https://link.gale.com/apps/doc/A673944090/AONE?u=mysl_we_crmhs&sid=googleScholar&xid=26371995Google Scholar
Wong, LP, Alias, H, Danaee, M, Ahmed, Jamil, Lachyan, A, Cai, CZ, Lin, Y, Hu, Z, Tan, SY, Lu, Y, Cai, G, Nguyen, DK, Seheli, FN, Alhammadi, Fatma, Madhale, MD, Atapattu, M, Quazi-Bodhanya, T, Mohajer, S, Zimet, GD and Zhao, Q (2021) COVID-19 vaccination intention and vaccine characteristics influencing vaccination acceptance: a global survey of 17 countries. Infectious Diseases of Poverty 10, 122.CrossRefGoogle ScholarPubMed
WHO (2023) Global Influenza Surveillance and Response System (GISRS). Available at https://www.who.int/initiatives/global-influenza-surveillance-and-response-systemGoogle Scholar
Yang, R, Penders, B and Horstman, K (2020) Addressing vaccine hesitancy in China: a scoping review of Chinese scholarship. Vaccines 8, 2.CrossRefGoogle Scholar
Zaller, J (1992) The Nature and Origins of Mass Opinion. Cambride: Cambridge University Press.CrossRefGoogle Scholar
Figure 0

Table 1. Respondents' vaccination willingness by experimental condition

Figure 1

Table 2. Respondents' vaccination willingness by condition and partisanship

Figure 2

Table 3. Multinomial logistic regression on vaccination willingness

Figure 3

Figure 1. Effect on probability of getting vaccine.Notes: This figure shows the change in predicted probability of getting vaccine by experimental treatments and partisanship with 95% confidence intervals. The value 0 is the control condition. Positive values indicate an increase and negative values indicate a decrease in probability. The figure is from model 2 (‘Yes’ category) in Table 3.

Supplementary material: File

Liu et al. supplementary material

Liu et al. supplementary material
Download Liu et al. supplementary material(File)
File 68.8 KB