Cited by 508Risk Perception and ManagementInfluenza Virus Research StudiesCOVID-19 and Mental Health

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

Perceived risk, anxiety, and behavioural responses of the general public during the early phase of the Influenza A (H1N1) pandemic in the Netherlands: results of three consecutive online surveys

Open access

Bults, Marloes, Beaujean, Desirée JMA, de Zwart, Onno, Kok, Gerjo, van Empelen, Pepijn, van Steenbergen, Jim E, Richardus, Jan Hendrik, Voeten, Hélène ACM·2011·BMC Public Health

DOI 10.1186/1471-2458-11-2PMC PMC3091536

Open this paper in CoChat — free account Open PDF

Abstract

BACKGROUND: Research into risk perception and behavioural responses in case of emerging infectious diseases is still relatively new. The aim of this study was to examine perceptions and behaviours of the general public during the early phase of the Influenza A (H1N1) pandemic in the Netherlands. METHODS: Two cross-sectional and one follow-up online survey (survey 1, 30 April-4 May; survey 2, 15-19 June; survey 3, 11-20 August 2009). Adults aged 18 years and above participating in a representative Internet panel were invited (survey 1, n = 456; survey 2, n = 478; follow-up survey 3, n = 934). Main outcome measures were 1) time trends in risk perception, feelings of anxiety, and behavioural responses (survey 1-3) and 2) factors associated with taking preventive measures and strong intention to comply with government-advised preventive measures in the future (survey 3). RESULTS: Between May and August 2009, the level of knowledge regarding Influenza A (H1N1) increased, while perceived severity of the new flu, perceived self-efficacy, and intention to comply with preventive measures decreased. The perceived reliability of information from the government decreased from May to August (62% versus 45%). Feelings of anxiety decreased from May to June, and remained stable afterwards. From June to August 2009, perceived vulnerability increased and more respondents took preventive measures (14% versus 38%). Taking preventive measures was associated with no children in the household, high anxiety, high self-efficacy, more agreement with statements on avoidance, and paying much attention to media information regarding Influenza A (H1N1). Having a strong intention to comply with government-advised preventive measures in the future was associated with higher age, high perceived severity, high anxiety, high perceived efficacy of measures, high self-efficacy, and finding governmental information to be reliable. CONCLUSIONS: Decreasing trends over time in perceived severity and anxiety are consistent with the reality: the clinical picture of influenza turned out to be mild in course of time. Although (inter)national health authorities initially overestimated the case fatality rate, the public stayed calm and remained to have a relatively high intention to comply with preventive measures.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1186/1471-2458-11-2

Cites

29 of 29 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Health Behavior and Health Education: Theory, Research, and Practice
(1992) · Annals of Internal Medicine · doi:10.7326/0003-4819-116-4-350_1 · Cited by 13,232
The health belief model.
Champion, V. L., & Skinner, C. S. (2008) · Cited by 2,727
Pandemic Potential of a Strain of Influenza A (H1N1): Early Findings
Fraser, C., Donnelly, C. A., Cauchemez, S., Hanage, W. P., Kerkhove, M. D. V., Hollingsworth, T. D., Griffin, J. T., Baggaley, R. F., Jenkins, H. E., Lyons, E., et al. (2009) · Science · doi:10.1126/science.1176062 · Cited by 1,915
Public perceptions, anxiety, and behaviour change in relation to the swine flu outbreak: cross sectional telephone survey
Rubin, G. J., Amlot, R., Page, L., & Wessely, S. (2009) · BMJ · doi:10.1136/bmj.b2651 · Cited by 1,106
Risk perceptions and their relation to risk behavior
Brewer, N. T., Weinstein, N. D., Cuite, C. L., & Herrington, J. E. (2004) · Annals of Behavioral Medicine · doi:10.1207/s15324796abm2702_7 · Cited by 833
Effective Health Risk Communication About Pandemic Influenza for Vulnerable Populations
Vaughan, E., & Tinker, T. (2009) · American Journal of Public Health · doi:10.2105/ajph.2009.162537 · Cited by 532
SARS Risk Perception, Knowledge, Precautions, and Information Sources, the Netherlands
Brug, J., Aro, A. R., Oenema, A., de Zwart, O., Richardus, J. H., & Bishop, G. D. (2004) · Emerging infectious diseases · doi:10.3201/eid1008.040283 · Cited by 524
Self-citation
Monitoring community responses to the SARS epidemic in Hong Kong: from day 10 to day 62
Lau, J. T. F., Yang, X., Tsui, H., & Kim, J. H. (2003) · Journal of Epidemiology & Community Health · doi:10.1136/jech.57.11.864 · Cited by 475
Early Assessment of Anxiety and Behavioral Response to Novel Swine-Origin Influenza A(H1N1)
Jones, J. H., & Salathé, M. (2009) · PLoS ONE · doi:10.1371/journal.pone.0008032 · Cited by 438
Longitudinal assessment of community psychobehavioral responses during and after the 2003 outbreak of severe acute respiratory syndrome in Hong Kong
Leung, G. M., Ho, L.-M., Chan, S. K. K., Ho, S.-Y., Bacon-Shone, J., Choy, R. Y. L., Hedley, A. J., Lam, T.-H., & Fielding, R. (2005) · Clinical Infectious Diseases · doi:10.1086/429923 · Cited by 377

Show all 29 references

Research works printed but not linked: 3

Bosman A, Mulder YM, de Leeuw JRJ, Meijer A, Du Ry van Beest Holle M, Kamst RA, van der Velden PG, Conyn-van Spaendonck MAE, Koopmans MPG, Ruijten MWMM: Avian flu epidemic: public health consequences. Risk factors, health, well-being, health care needs and preventive measures during the H7N7 avian flu outbreak in the Netherlands. 2004, Bilthoven: RIVM/Instituut voor Psychotrauma, Report No.: 630940001/2004, [ http://www.rivm.nl/bibliotheek/rapporten/630940001.html ]
Gelissen R, Vrolings E, Jonkers R: Expected behavioural responses in case of pandemic influenza. Results of a literature review and empirical research among the general public in the Netherland. 2008, Rescon, research & consultancy, in Dutch
Central Committee on Research involving Human Subjects: Manual for the review of medical research involving human subjects. [ http://www.ccmo-online.nl ]

Sorted by citations

Items 101–200 of 502

Risk Communication and Ebola-Specific Knowledge and Behavior during 2014–2015 Outbreak, Sierra Leone
Winters, M., Jalloh, M. F., Sengeh, P., Jalloh, M. B., Conteh, L., Bunnell, R. E., Li, W., Zeebari, Z., & Nordenstedt, H. (2018) · Emerging infectious diseases · doi:10.3201/eid2402.171028 · Cited by 52
A Psychological Network Approach to Attitudes and Preventive Behaviors During Pandemics: A COVID-19 Study in the United Kingdom and the Netherlands
Chambon, M., Dalege, J., Elberse, J., & van Harreveld, F. (2021) · Social Psychological and Personality Science · doi:10.1177/19485506211002420 · Cited by 52
Infodemic vs. Pandemic Factors Associated to Public Anxiety in the Early Stage of the COVID-19 Outbreak: A Cross-Sectional Study in China
Xu, J., & Liu, C. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.723648 · Cited by 55
Polarization and Public Health: Partisan Differences in Social Distancing during COVID-19Preprint
Allcott, H., Boxell, L., Conway, J., Gentzkow, M. A., Thaler, M., & Yang, D. Y. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3570274 · Cited by 52
Perceived threat of COVID ‐19, attitudes towards vaccination, and vaccine hesitancy: A prospective longitudinal study in the UK
Phillips, R., Gillespie, D., Hallingberg, B., Evans, J., Taiyari, K., Torrens‐Burton, A., Cannings-John, R. L., Williams, D., Sheils, E., Ashfield-Watt, P. A. L., et al. (2022) · British Journal of Health Psychology · doi:10.1111/bjhp.12606 · Cited by 50
Spontaneous social distancing in response to a simulated epidemic: a virtual experiment
Kleczkowski, A., Maharaj, S., Rasmussen, S. A., Williams, L., & Cairns, N. (2015) · BMC Public Health · doi:10.1186/s12889-015-2336-7 · Cited by 50
A sociedade de risco midiatizada, o movimento antivacinação e o risco do autismo
Vasconcellos-Silva, P. R., Castiel, L. D., & Griep, R. H. (2015) · Ciência & Saúde Coletiva · doi:10.1590/1413-81232015202.10172014 · Cited by 56
The Role of Sociodemographic and Psychological Variables on Risk Perception of the Flu
Commodari, E. (2017) · SAGE Open · doi:10.1177/2158244017718890 · Cited by 51
Drivers of vaccine decision-making in South Africa: A discrete choice experiment
Verelst, F., Kessels, R., Delva, W., Beutels, P., & Willem, L. (2019) · Vaccine · doi:10.1016/j.vaccine.2019.02.056 · Cited by 49
Attitudes towards COVID-19 Vaccination among Hospital Staff—Understanding What Matters to Hesitant People
Spinewine, A., Pétein, C., Evrard, P., Vastrade, C., Laurent, C., Delaere, B., & Henrard, S. (2021) · Vaccines · doi:10.3390/vaccines9050469 · Cited by 49
Anxiety, perceived control and pandemic behaviour in Thailand during COVID-19: Results from a national survey
Goodwin, R. B., Wiwattanapantuwong, J., Tuicomepee, A., Suttiwan, P., Watakakosol, R., & Ben‐Ezra, M. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2021.01.025 · Cited by 52
Trends in Food Preferences and Sustainable Behavior during the COVID-19 Lockdown: Evidence from Spanish Consumers
Li, S., Kallas, Z., Rahmani, D., & Roig, J. M. G. (2021) · Foods · doi:10.3390/foods10081898 · Cited by 57
The predictors of adaptive and maladaptive coping behavior during the COVID-19 pandemic: The Protection Motivation Theory and the Big Five personality traits
Pilch, I., Wardawy, P., & Probierz, E. (2021) · PLoS ONE · doi:10.1371/journal.pone.0258606 · Cited by 48
Preventive Behavioral Responses to the 2015 Middle East Respiratory Syndrome Coronavirus Outbreak in Korea
Jang, W. M., Cho, S., Jang, D. H., Kim, U.-N., Jung, H., Lee, J. Y., & Eun, S. J. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16122161 · Cited by 46
Anxiety and public responses to covid-19: Early data from Thailand
Goodwin, R. B., Wiwattanapantuwong, J., Tuicomepee, A., Suttiwan, P., & Watakakosol, R. (2020) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2020.06.026 · Cited by 46
Fear of COVID-19 lead to procrastination among Turkish university students: The mediating role of intolerance of uncertainty
Doğanülkü, H. A., Korkmaz, O., Griffiths, M. D., & Pakpour, A. H. (2021) · BMC Psychology · doi:10.1186/s40359-021-00681-9 · Cited by 48
Compliance with recommended protective actions during an H7N9 emergency: a risk perception perspective
Wang, F., Wei, J., & Shi, X. (2017) · Disasters · doi:10.1111/disa.12240 · Cited by 46
Comparing Public Perceptions and Preventive Behaviors During the Early Phase of the COVID-19 Pandemic in Hong Kong and the United Kingdom: Cross-sectional Survey Study
Bowman, L., Kwok, K. O., Redd, R., Yi, Y., Ward, H., Wei, W. I., Atchison, C. J., & Wong, S. Y. S. (2021) · Journal of Medical Internet Research · doi:10.2196/23231 · Cited by 46
Perceptions towards COVID-19 and adoption of preventive measures among the public in Saudi Arabia: a cross sectional study
Alkhaldi, G., Aljuraiban, G. S., Alhurishi, S. A., de Souza, R., Lamahewa, K., Lau, R., & Alshaikh, F. (2021) · BMC Public Health · doi:10.1186/s12889-021-11223-8 · Cited by 44
Understanding the Predictors of Rural Customers’ Continuance Intention toward Mobile Banking Services Applications during the COVID-19 Pandemic
Amin, M. A., Arefin, M. S., Alam, M. S., & Rasul, T. (2022) · Journal of Global Marketing · doi:10.1080/08911762.2021.2018750 · Cited by 44
A Cognitive Behavioral Therapy Chatbot (Otis) for Health Anxiety Management: Mixed Methods Pilot Study
Goonesekera, Y., & Donkin, L. (2022) · JMIR Formative Research · doi:10.2196/37877 · Cited by 43
Knowledge, behavior and precautionary measures related to COVID-19 pandemic among the general public of Punjab province, Pakistan
Haq, S. U., Shahbaz, P., & Boz, İ. (2020) · The Journal of Infection in Developing Countries · doi:10.3855/jidc.12851 · Cited by 43
The relationship between the nomophobic levels of higher education students in Ghana and academic achievement
Essel, H. B., Vlachopoulos, D., & Tachie-Menson, A. (2021) · PLoS ONE · doi:10.1371/journal.pone.0252880 · Cited by 51
Factors influencing H1N1 vaccine behavior among Manitoba Metis in Canada: a qualitative study
Driedger, S. M., Maier, R., Furgal, C. M., & Jardine, C. (2015) · BMC Public Health · doi:10.1186/s12889-015-1482-2 · Cited by 42
Trajectories of public psycho-behavioural responses relating to influenza A(H7N9) over the winter of 2014-15 in Hong Kong
Liao, Q., Wu, P., Lam, W., Cowling, B. J., & Fielding, R. (2018) · Psychology and Health · doi:10.1080/08870446.2018.1515436 · Cited by 43
Design and Psychometric Analysis of the COVID-19 Prevention, Recognition and Home-Management Self-Efficacy Scale
Hernández‐Padilla, J. M., Granero‐Molina, J., Fernández, M. D. R., Dobarrio‐Sanz, I., López‐Rodriguez, M. M., Fernández‐Medina, I. M., Correa‐Casado, M., & Fernández‐Sola, C. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17134653 · Cited by 42
An exploratory qualitative assessment of factors influencing childhood vaccine providers' intention to recommend immunization in the Netherlands
Mollema, L., Staal, J. M., van Steenbergen, J., Paulussen, T. G., & de Melker, H. E. (2012) · BMC Public Health · doi:10.1186/1471-2458-12-128 · Cited by 41
Predictors of Non-Adherence to Public Health Instructions During the COVID-19 Pandemic in the Democratic Republic of the Congo
Nzaji, M. K., Mwamba, G. N., Miema, J. M., Umba, E. K. N., Kangulu, I. B., Ndala, D. B. B., Paul, C. M., Mutombo, D. K., Kabasu, M. C. B., Moise, K. K., et al. (2020) · Journal of Multidisciplinary Healthcare · doi:10.2147/jmdh.s274944 · Cited by 43
Mental Health Status of the Elderly Chinese Population During COVID-19: An Online Cross-Sectional Study
Zhou, R., Chen, H., Zhu, L., Chen, Y., Chen, B., Li, Y., Chen, Z., Zhu, H., & Wang, H. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.645938 · Cited by 41
Perceived risk and sensitivity and their influence on expatriate performance during the COVID‐19 pandemic
Sahoo, A., Leow, N. X., Mostafiz, M. I., & Jayaraman, K. (2022) · Global Business and Organizational Excellence · doi:10.1002/joe.22152 · Cited by 41
Preferential differences in vaccination decision-making for oneself or one’s child in The Netherlands: a discrete choice experiment
Hoogink, J., Verelst, F., Kessels, R., van Hoek, A. J., Timen, A., Willem, L., Beutels, P., Wallinga, J., & de Wit, G. A. (2020) · BMC Public Health · doi:10.1186/s12889-020-08844-w · Cited by 40
Reactions of older Swiss adults to the COVID-19 pandemic: A longitudinal survey on the acceptance of and adherence to public health measures
Bearth, A., Luchsinger, L., & Siegrist, M. (2021) · Social Science & Medicine · doi:10.1016/j.socscimed.2021.114039 · Cited by 41
What Protective Health Measures Are Americans Taking in Response to COVID-19? Results from the COVID Impact Survey
Qeadan, F., Mensah, N. A., Tingey, B., Bern, R., Rees, T., Talboys, S., Singh, T. P., Lacey, S. E., & Shoaf, K. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17176295 · Cited by 39
Examining persuasive message type to encourage staying at home during the COVID-19 pandemic and social lockdown: A randomized controlled study in Japan
Okuhara, T., Okada, H., & Kiuchi, T. (2020) · Patient Education and Counseling · doi:10.1016/j.pec.2020.08.016 · Cited by 39
Stress and worry in the 2020 coronavirus pandemic: Relationships to trust and compliance with preventive measures across 48 countries in the COVIDiSTRESS global surveyPreprint
Lieberoth, A., Lin, S.-Y., Stöckli, S., Han, H., Kowal, M., Chrona, S., Gelpí, R., Tran, T. P., Jeftić, A., Çakal, H., et al. (2021) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/f7ghw · Cited by 39
Determinants of Refusal of A/H1N1 Pandemic Vaccination in a High Risk Population: A Qualitative Approach
d’Alessandro, E., Hubert, D., Launay, O., Bassinet, L., Lortholary, O., Jaffré, Y., & Sermet‐Gaudelus, I. (2012) · PLoS ONE · doi:10.1371/journal.pone.0034054 · Cited by 37
Food handling practices in the era of COVID-19: a mixed-method longitudinal needs assessment of consumers in the United States
Thomas, M. S., & Feng, Y. (2021) · Journal of Food Protection · doi:10.4315/jfp-21-006 · Cited by 36
From anxiety to control: Mask‐wearing, perceived marketplace influence, and emotional well‐being during the COVID‐19 pandemic
Schneider, A. B., & Leonard, B. (2021) · Journal of Consumer Affairs · doi:10.1111/joca.12412 · Cited by 36
Social Distancing during the COVID-19 Pandemic in Switzerland: Health Protective Behavior in the Context of Communication and Perceptions of Efficacy, Norms, and Threat
Friemel, T. N., & Geber, S. (2021) · Health Communication · doi:10.1080/10410236.2021.1976360 · Cited by 36
Health care workers—part of the system or part of the public? Ambivalent risk perception in health care workers
Gesser‐Edelsburg, A., Walter, N., & Green, M. S. (2014) · American Journal of Infection Control · doi:10.1016/j.ajic.2014.04.012 · Cited by 36
Children’s Dental Anxiety during the COVID-19 Pandemic: Polish Experience
Olszewska, A., & Rzymski, P. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9092751 · Cited by 36
The Adoption of Preventive Behaviors during the COVID-19 Pandemic in China and Israel
Liu, X.-J., & Mesch, G. S. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17197170 · Cited by 35
Psychological impact on healthcare workers, general population and affected individuals of SARS and COVID-19: A systematic review and meta-analysis
Cheung, T. C. C., Cheng, C. P. W., Fong, T. K. H., Sharew, N. T., Anders, R. L., Xiang, Y., Lam, S. C., & SR Nursing Working Group (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.1004558 · Cited by 36
Behavioral Responses to Epidemics in an Online Experiment: Using Virtual Diseases to Study Human Behavior
Chen, F., Griffith, A. L., Cottrell, A., & Wong, Y. (2013) · PLoS ONE · doi:10.1371/journal.pone.0052814 · Cited by 35
From Information Exposure to Protective Behaviors: Investigating the Underlying Mechanism in COVID-19 Outbreak Using Social Amplification Theory and Extended Parallel Process Model
Zhao, S., & Wu, X. R. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.631116 · Cited by 36
Development and Preliminary Italian Validation of the Emergency Response and Psychological Adjustment Scale
Diotaiuti, P., Valente, G., & Mancone, S. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.687514 · Cited by 34
Delay discounting of compliance with containment measures during the COVID-19 outbreak: a survey of the Italian population
Nese, M., Riboli, G., Brighetti, G., Sassi, V., Camela, E., Caselli, G., Sassaroli, S., & Borlimi, R. (2020) · Journal of Public Health · doi:10.1007/s10389-020-01317-9 · Cited by 33
Canadian university students’ perceptions of COVID-19 severity, susceptibility, and health behaviours during the early pandemic period
Mant, M. L., Holland, A. J., & Prine, A. (2021) · Public Health in Practice · doi:10.1016/j.puhip.2021.100114 · Cited by 35
Global Trends in the Incidence of Anxiety Disorders From 1990 to 2019: Joinpoint and Age-Period-Cohort Analysis Study
Cao, H., Wu, Y., Yin, H., Sun, Y., Yuan, H., & Tao, M. (2024) · JMIR Public Health and Surveillance · doi:10.2196/49609 · Cited by 33
The usual suspects: do risk tolerance, altruism, and health predict the response to COVID-19?
Sheth, K., & Wright, G. (2020) · Review of Economics of the Household · doi:10.1007/s11150-020-09515-w · Cited by 32
A systematic review of factors affecting intended and actual adherence with antiviral medication as treatment or prophylaxis in seasonal and pandemic flu
Smith, L., D’Antoni, D., Jain, V., Pearce, J. M., Weinman, J. A., & Rubin, G. J. (2016) · Influenza and Other Respiratory Viruses · doi:10.1111/irv.12406 · Cited by 31
COVID-19, Financial Anxiety and the Psychological Well-being of Hotel Workers
Mensah, C., Azila-Gbettor, E. M., Amissah, E. F., & Addison-Akotoye, E. (2022) · International Journal of Hospitality & Tourism Administration · doi:10.1080/15256480.2022.2055692 · Cited by 36
Trends and factors influencing the mental health of college students in the post-pandemic: four consecutive cross-sectional surveys
Chen, Y., Ke, X., Liu, J., Du, J., Zhang, J., Jiang, X. J., Zhou, T., & Xiao, X. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1387983 · Cited by 30
The Impact of Intolerance of Uncertainty on Negative Emotions in COVID-19: Mediation by Pandemic-Focused Time and Moderation by Perceived Efficacy
Dai, W., Meng, G., Zheng, Y., Li, Q., Dai, B., & Liu, X. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18084189 · Cited by 31
Network Analysis of Depressive Symptoms Among Residents of Wuhan in the Later Stage of the COVID-19 Pandemic
Zhao, N., Li, W., Zhang, S.-F., Yang, B. X., Sha, S., Cheung, T. C. C., Jackson, T., Zang, Y., & Xiang, Y. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.735973 · Cited by 32
Promoting COVID-19 Vaccination Using the Health Belief Model: Does Information Acquisition from Divergent Sources Make a Difference?
Yang, X., Wei, L., & Liu, Z. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19073887 · Cited by 30
Predictors of protective behaviours during the Italian Covid-19 pandemic: an application of protection motivation theory
Grano, C., Solorzano, C. S., & Pucchio, A. D. (2022) · Psychology and Health · doi:10.1080/08870446.2022.2062355 · Cited by 30
Does Worker Well‐Being Adapt to a Pandemic? An Event Study Based on High‐Frequency Panel Data
Schmidtke, J., Hetschko, C., Schöb, R., Stephan, G., Eid, M., & Lawes, M. (2021) · Review of Income and Wealth · doi:10.1111/roiw.12668 · Cited by 34
Public knowledge and preventive behavior during a large-scale Salmonella outbreak: results from an online survey in the Netherlands
van Velsen, L., Beaujean, D., van Gemert‐Pijnen, J. E. W. C., van Steenbergen, J., & Timen, A. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-100 · Cited by 30
Self-citation
The “New Public” and the “Good Ol’ Press”: Evaluating Online News Sources During the 2013 Polio Outbreak in Israel
Gesser‐Edelsburg, A., Walter, N., & Shir-Raz, Y. (2016) · Health Communication · doi:10.1080/10410236.2015.1110224 · Cited by 29
Count on trust: the indirect effect of trust in government on policy compliance with health behavior instructions
Goren, T., Vashdi, D. R., & Beeri, I. (2022) · Policy Sciences · doi:10.1007/s11077-022-09481-3 · Cited by 37
The interplay between anxiety, fear, protective behaviors, compassion, and resilience among older adults during a COVID-19 lockdown: a structural equation modeling study
Lim, X. Y., Yap, A. C., Mahendran, R., & Yu, J. (2021) · Translational Behavioral Medicine · doi:10.1093/tbm/ibaa143 · Cited by 29
The Relationship among COVID-19 Information Seeking, News Media Use, and Emotional Distress at the Onset of the Pandemic
Hwang, J., Borah, P., Shah, D., & Brauer, M. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182413198 · Cited by 28
System within systems: challenges and opportunities for the Expanded Programme on Immunisation in Pakistan
Haq, Z. U., Shaikh, B. T., Tran, N. T., Hafeez, A., & Ghaffar, A. (2019) · Health Research Policy and Systems · doi:10.1186/s12961-019-0452-z · Cited by 28
Risk perception as a double-edged sword in policy compliance in COVID-19 pandemic? A two-phase evaluation from Hong Kong
Yue, R. P. H., Lau, B. H. P., Chan, C., & Ng, S. (2021) · Journal of Risk Research · doi:10.1080/13669877.2021.1936612 · Cited by 28
Negative attitude and low intention to vaccinate universally against varicella among public health professionals and parents in the Netherlands: two internet surveys
van Lier, A., Tostmann, A., Harmsen, I. A., de Melker, H. E., Hautvast, J. L. A., & Ruijs, W. L. M. (2016) · BMC Infectious Diseases · doi:10.1186/s12879-016-1442-1 · Cited by 28
Personality in a pandemic: Social norms moderate associations between personality and social distancing behaviors
Ludeke, S. G., Vitriol, J. A., Larsen, E. G., & Gensowski, M. (2021) · Personality and Individual Differences · doi:10.1016/j.paid.2021.110828 · Cited by 28
Stress and perceived discrimination among the Arab population in Israel: the mediation role of the perceived COVID-19 threat and trust in the healthcare system
Satran, C., Saleh, O. A., Mashiach‐Eizenberg, M., & Bord, S. (2021) · Ethnicity and Health · doi:10.1080/13557858.2021.1899139 · Cited by 28
Trends and Factors Associated With Risk Perception, Anxiety, and Behavior From the Early Outbreak Period to the Controlled Period of COVID-19 Epidemic: Four Cross-Sectional Online Surveys in China in 2020
Liu, B., Liu, H., Han, B., Zhao, T., Sun, T., Tan, X., & Cui, F. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2021.768867 · Cited by 28
The role of risk perception and affective response in the COVID-19 preventive behaviours of young adults: a mixed methods study of university students in the Netherlands
Kollmann, J., Kocken, P., Syurina, E. V., & Hilverda, F. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-056288 · Cited by 27
Romanians’ willingness to comply with restrictive measures during the COVID-19 pandemic: evidence from an online survey
Corbu, N., Negrea-Busuioc, E., Udrea, G., & Radu, L. (2021) · Journal of Applied Communication Research · doi:10.1080/00909882.2021.1912378 · Cited by 23
Perceived risks related to unconventional restaurants: A perspective from edible insects and live seafood restaurants
Ali, L., & Ali, F. (2021) · Food Control · doi:10.1016/j.foodcont.2021.108471 · Cited by 26
Remote Work in a Changing World: A Nod to Personal Space, Self-Regulation and Other Health and Wellness Strategies
Geldart, S. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19084873 · Cited by 26
Compliance of healthcare workers with the infection prevention and control guidance in tertiary care hospitals: quantitative findings from an explanatory sequential mixed-methods study in Bangladesh
Salwa, M., Haque, M. A., Islam, S. S., Islam, M. T., Sultana, S., Khan, M. M. H., & Moniruzzaman, S. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-054837 · Cited by 26
Birth preparedness and complication readiness practice and associated factors among pregnant women in Northwest Ethiopia: 2018
Debele, T. Z., Abdo, A. A., Anteneh, K. T., Limenih, M. A., Asaye, M. M., Aynalem, G. L., Ambaw, W. M., Kassie, B. A., & Abebe, S. M. (2021) · PLoS ONE · doi:10.1371/journal.pone.0249083 · Cited by 26
Communication and knowledge as motivators: understanding Singaporean women’s perceived risks of breast cancer and intentions to engage in preventive measures
Lee, E. W. J., Ho, S. S., Chow, J. K., Wu, Y., & Yang, Z. (2013) · Journal of Risk Research · doi:10.1080/13669877.2012.761264 · Cited by 30
Emerging Infectious Disease (EID) Communication During the 2009 H1N1 Influenza Outbreak: Literature Review (2009-2013) of the Methodology Used for EID Communication Analysis
Gesser‐Edelsburg, A., Stolero, N., Mordini, E., Billingsley, M., James, J. J., & Green, M. S. (2015) · Disaster Medicine and Public Health Preparedness · doi:10.1017/dmp.2014.126 · Cited by 25
Factors influencing risk perception during Public Health Emergencies of International Concern (PHEIC): a scoping review
Yin, J. D.-C., & Lui, J. N. M. (2024) · BMC Public Health · doi:10.1186/s12889-024-18832-z · Cited by 25
The influenza A (H1N1) pandemic in Reunion Island: knowledge, perceived risk and precautionary behaviour
Taglioni, F., Cartoux, M., Dellagi, K., Dalban, C., Fianu, A., Carrat, F., & Favier, F. (2013) · BMC Infectious Diseases · doi:10.1186/1471-2334-13-34 · Cited by 24
Rethinking the Role of Affect in Risk Judgment: What We Have Learned From COVID-19 During the First Week of Quarantine in Italy
Barattucci, M., Chirico, A., Kuvačić, G., & Giorgio, A. D. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.554561 · Cited by 24
The impact of perceived risk and disease prevention efficiency on outdoor activities and avoidance behaviors in the urban parks during COVID 19 pandemic
Khozaei, F., Kim, M. J., Nematipour, N., & Ali, A. (2021) · Journal of Facilities Management · doi:10.1108/jfm-09-2020-0065 · Cited by 25
Factors Associated With Highest Symptoms of Anxiety During COVID-19: Cross-Cultural Study of 23 Countries
Burkova, V. N., Butovskaya, M., Randall, A. K., Fedenok, J. N., Ahmadi, K., AlGhraibeh, A. M. A., Allami, F. B. M., Alpaslan, F. S., Al-Zu’bi, M. A. A., Al-Mseidin, K. I., et al. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.805586 · Cited by 25
Predicting COVID-19 vaccination intentions: the roles of threat appraisal, coping appraisal, subjective norms, and negative affect
Xia, Z., Chen, Q., Zhang, Y., & Evans, R. D. (2023) · BMC Public Health · doi:10.1186/s12889-023-15169-x · Cited by 28
An Extensive Search Trends-Based Analysis of Public Attention on Social Media in the Early Outbreak of COVID-19 in China
Xie, T., Tan, T., & Li, J. (2020) · Risk Management and Healthcare Policy · doi:10.2147/rmhp.s257473 · Cited by 24
Understanding terror states of online users in the context of COVID-19: An application of Terror Management Theory
Barnes, S. J. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106967 · Cited by 23
“Previous research has found that more than half of individuals exhibit anxiety during virus-induced epidemics or pandemics (Bults et al., 2011; Goulia et al., 2010).”
Background
The healthcare seeking rate of individuals with influenza like illness: a meta-analysis
Ma, W., Huo, X., & Zhou, M. (2018) · Scandinavian Journal of Infectious Diseases · doi:10.1080/23744235.2018.1472805 · Cited by 23
Pandemic responsiveness: Evidence from social distancing and lockdown policy during COVID-19
Besley, T. J., & Dray, S. (2022) · PLoS ONE · doi:10.1371/journal.pone.0267611 · Cited by 23
Trust in Science and COVID-19
Mousoulidou, M., Christodoulou, A., Argyrides, M., Siakalli, M., & Constantinou, L. (2022) · Encyclopedia · doi:10.3390/encyclopedia2010040 · Cited by 23
The impact of COVID-19 on online product reviews
Kutlubay, O. C., Çiçek, M., & Yayla, S. (2021) · Journal of Product & Brand Management · doi:10.1108/jpbm-12-2020-3281 · Cited by 23
The effects of information-seeking behaviours on prevention behaviours during the COVID-19 pandemic: the mediating effects of anxiety and fear in Korea
Kim, K., Yang, J. S., Jeon, Y. J., Lee, Y. J., Lee, Y., Kim, H. C., Koenen, K. C., Kim, Y., & Jung, S. J. (2021) · Epidemiology and Health · doi:10.4178/epih.e2021085 · Cited by 23
Preventive Behaviors and Information Sources during COVID-19 Pandemic: A Cross-Sectional Study in Japan
Uchibori, M., Ghaznavi, C., Murakami, M., Eguchi, A., Kunishima, H., Kaneko, S., Maruyama‐Sakurai, K., Miyata, H., & Nomura, S. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192114511 · Cited by 21
Does Eating Chicken Feet With Pickled Peppers Cause Avian Influenza? Observational Case Study on Chinese Social Media During the Avian Influenza A (H7N9) Outbreak
Chen, B., Shao, J., Liu, K., Cai, G., Jiang, Z., Huang, Y., Gu, H., & Jiang, J. (2018) · JMIR Public Health and Surveillance · doi:10.2196/publichealth.8198 · Cited by 21
Realistic Expectations and Prosocial Behavioural Intentions to the Early Phase of the COVID-19 Pandemic in the Norwegian Population
Sætrevik, B. (2021) · Collabra Psychology · doi:10.1525/collabra.18698 · Cited by 21
Health Information During the H1N1 Influenza Pandemic: Did the Amount Received Influence Infection Prevention Behaviors?
Etingen, B., LaVela, S. L., Miskevics, S., & Goldstein, B. (2013) · Journal of Community Health · doi:10.1007/s10900-012-9647-8 · Cited by 20
Concerns and adjustments: How the Portuguese population met COVID-19
de Almeida, S. V., Costa, E. P. P. A., Lopes, F. V., Santos, J. V., & Barros, P. P. (2020) · PLoS ONE · doi:10.1371/journal.pone.0240500 · Cited by 21
Critical criteria for enhancing consumption intention in restaurants during COVID-19
Chou, S.-F., Liu, C.-H. S., & Lin, J. (2021) · British Food Journal · doi:10.1108/bfj-05-2021-0532 · Cited by 20
Restaurant patronage during the COVID-19 pandemic and the protection motivation theory: influence of consumers’ socio-demographic, situational, and psychographic factors
Byrd, K., Fan, A., Her, E., Liu, Y., Leitch, S., & Almanza, B. A. (2021) · Journal of Foodservice Business Research · doi:10.1080/15378020.2021.2006036 · Cited by 20
The Portrait of Cyberchondria—A Cross-Sectional Online Study on Factors Related to Health Anxiety and Cyberchondria in Polish Population during SARS-CoV-2 Pandemic
Ciułkowicz, M., Misiak, B., Szcześniak, D. M., Grzebieluch, J., Maciaszek, J., & Rymaszewska, J. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19074347 · Cited by 22
Behavior Responses and Attitude of the Public to COVID-19 Pandemic During Movement Restrictions in Saudi Arabia
Abolfotouh, M. A., Almutairi, A. F., BaniMustafa, A. A., Hagras, S. A. A., & Jeraisy, M. A. (2021) · International Journal of General Medicine · doi:10.2147/ijgm.s296867 · Cited by 20
Changes in fears and worries related to COVID-19 during the pandemic among current employees in Japan: a 5-month longitudinal study
Hidaka, Y., Sasaki, N., Imamura, K., Tsuno, K., Kuroda, R., & Kawakami, N. (2021) · Public Health · doi:10.1016/j.puhe.2021.06.017 · Cited by 20

Authors: Bults, M., Beaujean, D. J., de Zwart, O., Kok, G., van Empelen, P., van Steenbergen, J. E., Richardus, J. H., & Voeten, H. A.
Affiliations: GGD Rotterdam-Rijnmond (NL)
National Institute for Public Health and the Environment (NL)
Maastricht University (NL)
Erasmus MC (NL)
Corresponding author: Bults, Marloes
ORCID: Bults, Marloes
Beaujean, Desirée JMA
Kok, Gerjo
Richardus, Jan Hendrik
Voeten, Hélène ACM
Venue: BMC Public Health
Publisher: Springer Science and Business Media LLC
Published: 2011-01-03
Volume: 11
Issue: 1
Pages: 2-2
ISSN: 1471-2458 (ISSN-L)
DOI: 10.1186/1471-2458-11-2
PMC: PMC3091536
OpenAlex: W2160326461
Cited by: 508
References: 29
Citations by year: 2026: 9 · 2025: 19 · 2024: 30 · 2023: 35 · 2022: 87 · 2021: 125 · 2020: 108 · 2019: 14 · 2018: 9 · 2017: 9 · 2016: 13 · 2015: 10 · 2014: 10 · 2013: 13 · 2012: 14
FWCI: 42.86
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
creativecommons.org/licenses/by/2.0 (tdm)
Locations: BMC Public Health (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
Research Publications (Maastricht University) (publishedVersion, cc-by)
EUR Research Repository (Erasmus University Rotterdam) (submittedVersion, other-oa)
RePub (Erasmus University Rotterdam) (submittedVersion, other-oa)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
RePub (Erasmus University Rotterdam) (submittedVersion)
Rivm Repository (Netherlands National Institute for Public Health and the Environment) (submittedVersion)
Research Publications (Maastricht University) (submittedVersion, other-oa)
Funders: ZonMw
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Topics: Social Sciences › Sociology and Political Science › Risk Perception and Management
Health Sciences › Medicine › Epidemiology › Influenza Virus Research Studies
Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
Keywords: influenza A (H1N1) pandemic, risk perception, anxiety, preventive behavior, self-efficacy, perceived severity, perceived susceptibility, media attention, compliance with preventive measures, emerging infectious diseases, public health communication, temporal trends
MeSH terms: Adult, Aged, Aged, 80 and over, Anxiety, Female, Follow-Up Studies, Humans, Influenza, Human, Health Knowledge, Attitudes, Practice, Male, Middle Aged, Netherlands, Surveys and Questionnaires, Risk, Socioeconomic Factors, Health Behavior, Multivariate Analysis, Logistic Models, Internet, Influenza A Virus, H1N1 Subtype, Pandemics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Perceived risk, anxiety, and behavioural responses of the general public during the early phase of the Influenza A (H1N1) pandemic in the Netherlands: results of three consecutive online surveys

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks