Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Experiences of participants in ETEC controlled human infection model studies

  • Bettina Wunderlich ,

    Roles Data curation, Formal analysis, Investigation, Software, Visualization, Writing – original draft

    bwunder1@alumni.jh.edu

    Affiliations Center for Immunization Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America

  • Kathryn Chang,

    Roles Data curation, Investigation, Project administration, Software, Writing – review & editing

    Affiliation Center for Immunization Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America

  • Jessica L. Schue,

    Roles Investigation, Writing – review & editing

    Affiliation Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America

  • Lawrence H. Moulton,

    Roles Validation, Writing – review & editing

    Affiliation Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America

  • Nancy Kass,

    Roles Writing – review & editing

    Affiliations Berman Institute of Bioethics, Johns Hopkins University, Baltimore, Maryland, United States of America, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America

  • Ruth A. Karron,

    Roles Writing – review & editing

    Affiliations Center for Immunization Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America

  • Kawsar R. Talaat

    Roles Conceptualization, Funding acquisition, Methodology, Resources, Supervision, Writing – review & editing

    Affiliations Center for Immunization Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America

Abstract

Background

Controlled human infection model (CHIM) studies raise ethical issues due to intentional exposure of healthy volunteers to a pathogen. In this study we examine the experiences of participants who have chosen to participate in enterotoxigenic Escherichia coli (ETEC) CHIM studies in a single research center.

Methods

An interviewer-administered paper-based survey was conducted with participants in an ETEC CHIM study at the Center for Immunization Research (CIR) from 2009–2020. We analyzed participant characteristics, study experiences, and perceived risks before and after study participation.

Results

48 participants in ETEC studies were interviewed. 81.3% of participants identified as Black or African American, 43.8% completed at most high school, and 39.6% of interviewees had incomes of less than $18,500 in the last year. Most respondents enjoyed participating and were glad they joined. Participants most frequently identified interactions with research staff, compensation, and food quality as the most positive aspects of their experiences. There was a significant reduction in the perceived risk of the ETEC study after completing participation compared to perceived risk before joining.

Conclusions

Despite the expected side effects of ETEC CHIM studies, most participants believe the benefits outweigh the risks and would participate again.

Introduction

Controlled human infection model (CHIM) studies, also commonly referred to as human challenge studies, have gained significant traction over the last few years. These studies involve the planned and controlled inoculation of an infectious organism into willing and healthy adult participants [1]. CHIM studies are conducted with pathogens that cause a disease that is treatable or self-limited. Through experimental challenge of susceptible individuals, CHIMs can improve our understanding of the pathophysiology of infectious agents in humans and can be used in preliminary assessments of the efficacy of vaccines or treatment strategies [14]. CHIM studies can produce key safety and efficacy data quickly, and can be used in vaccine development for proof-of-concept, vaccine prioritization, immunogenicity, or disease pathogenesis studies [36].

There are potential risks from deliberate infection to be considered. Symptoms and expected side effects depend on the causative agent; in some CHIM studies participants have minimal symptoms (as is the case with dengue or Zika challenge studies) and may only require evaluation in outpatient settings [7]. On the other hand, particularly with enteric challenge studies (such as enterotoxigenic Escherichia coli (ETEC), Shigella, etc.), participants might experience significant symptoms, including diarrhea, vomiting, and fever, and most participants must stay at an inpatient facility to monitor symptoms and prevent transmission of the infectious agent to the community [8,9]. In addition to the potential side effects caused by the pathogen, there is also risk associated with the experimental intervention (vaccine, therapeutic, or preventative medication) and treatment (i.e., antibiotic) in a CHIM study.

Due to this intentional exposure of healthy volunteers to a pathogen and its associated symptoms, as well as potential risks associated with experimental interventions and treatments, with no prospect of direct benefit to the participants, CHIM studies raise considerable ethical issues [5,10,11]. In particular, questions are raised on whether the individual risks outweigh indirect and societal benefits in these studies, and if consent is sufficiently voluntary and information properly understood to be confident about participants’ intentions, especially in a context where financial remuneration is provided. Consensus has been reached that if these studies are pursued with careful considerations about safety and informed consent, have high benefits to the community, and mitigated risks, they should continue to be conducted [5,12]. However, despite the ethics of these trials being discussed among investigators and ethics committees [1], there is limited literature on how participants perceive healthy volunteer studies [1316], and less so for CHIM studies [17]. This study was designed to begin to fill this gap by examining the experiences of participants who elect to enroll in enterotoxigenic Escherichia coli (ETEC) challenge studies.

Materials and methods

Study design, sampling and data collection

A structured interviewer-administered paper-based survey was conducted with prior participants in CHIM and other inpatient studies at the Johns Hopkins Center for Immunization Research (CIR) between 18/Dec/2009 and 05/May/2020. To be eligible, participants’ last study had to have been completed more than 3 months but no more than 15 months before the structured interview. Participants could only be interviewed once, irrespective of how many studies they had enrolled in. Given the small study sizes, a population census of eligible participants was used to recruit volunteers. This survey was in-person or telephone-based, depending on the interviewee’s preference. Interviews took approximately 45 minutes to complete. Interviewers were trained prior to conducting the survey to increase consistency of interviews and were not involved in the inpatient studies in order to preserve distance between the participants and study team and decrease the potential impact of social desirability bias. The data included in this analysis are from those volunteers who self-reported having last participated in an ETEC CHIM study.

Ethics

This study was approved by the Johns Hopkins Bloomberg School of Public Health Institutional Review Board (IRB # IRB00002353). Oral informed consent was obtained from all participants involved in the study, documented by signature, date, and time of person obtaining consent on an oral consent script.

Statistical analysis

Descriptive statistics regarding participant characteristics, their study experiences, and the perceived risks before and after their ETEC study at the CIR were analyzed. A nonparametric Wilcoxon signed-rank test assessed change in risk perception. StataIC version 16 and R version 4.2.1 were used to conduct all data analysis.

Results

Participants

Out of 152 CIR participants who were interviewed, 48 (31.6%) were participants who had last participated in an ETEC inpatient study. As illustrated in Table 1, 56.2% of these participants were male, 37.5% were 25–34 years old, 81.3% of participants identified as Black or African American, 43.8% completed at most high school, and 39.6% of interviewees earned less than $18,500 in the preceding year. 60.4% of participants were employed at the time of the interview and the same percentage had medical insurance. When asked about prior clinical trials (inpatient or outpatient), just over 20% of participants said this was the first study they participated in, 60.4% of participants had participated in 2–5 studies, 10.4% in 6–10 studies, and 8.3% had participated in over 10 studies.

thumbnail
Table 1. Characteristics of participants in ETEC challenge studies at the CIR between 2010-2020.

https://doi.org/10.1371/journal.pone.0339179.t001

Best and worst aspects of participating

When asked what the best thing was about participating in their most recent ETEC trial at the CIR, 27.1% of participants said the staff were the best part (Fig 1), followed by money at 16.7%, and food at 12.5%.

thumbnail
Fig 1. Best aspect of participating in CIR ETEC inpatient study.

https://doi.org/10.1371/journal.pone.0339179.g001

When asked about the worst aspect of participation (Fig 2), 22.9% of participants said they couldn’t think of any bad aspects to participating. This was followed by 16.7% who said the worst part was the side effects, and 12.5% said it was the other participants. 20.8% of participants said “other”, which included not enough bathrooms, wanting to receive compensation as a lump sum, having to fast, potentially getting addicted to making “easy money”, noise, and the presence of a security guard.

thumbnail
Fig 2. Worst aspect of participating in CIR ETEC inpatient study.

https://doi.org/10.1371/journal.pone.0339179.g002

Other participant perceptions

As shown in Fig 3, most participants either agreed or strongly agreed that they enjoyed participating (96%), that they wanted to participate in their most recent study (94%), that they were glad they joined the study (92%), and that they would do this kind of study again (90%). In terms of the benefits, 90% agreed or strongly agreed that they made a significant contribution to science or medicine, that there were benefits other than pay (88%), that the pay they received was fair (88%), that the benefits outweighed the risks (69%), and that they learned some things about themselves being in the study (69%). 2% of participants agreed or strongly agreed that they were sorry they joined the study, and no one who completed the survey stated that there were too many side effects and problems to think about ever doing this again.

thumbnail
Fig 3. Responses to Likert questions on perceptions of participating in ETEC studies.

https://doi.org/10.1371/journal.pone.0339179.g003

Risks perceived before and after participating in studies

Participants were asked retrospectively about how risky they had thought the ETEC CHIM study was before and after participation, on a scale from “Not at all risky”, “A little risky”, “Somewhat risky”, to “Very risky”. When asked how risky they thought the study would be before they participated, 20 (41.7%) thought it was “Not at all risky”, 17 (35.4%) considered it “A little risky”, 8 (16.7%) said “Somewhat risky”, and 3 (6.2%) “Very risky” (Fig 4 (a)). Following participation, 31 (64.6%) thought it was “Not at all risky”, 8 (16.7%) considered it “A little risky”, 7 (14.6%) said “Somewhat risky”, and 2 (4.2%) “Very risky” (Fig 4 (b)). How participants perceived risk before and after is shown in Fig 5. Of the participants who found it “Somewhat risky” or “Very risky” prior to the study, 4 were first-time participants and 7 were participants who had been in 2–5 studies (S1 Table). None of the participants with more experience (≥ 6 studies) thought it was “Somewhat risky” or “Very risky” prior to the study, although one person thought it was “Somewhat risky” after participation.

thumbnail
Fig 4. (a) Recalled risk level perceived by participants before ETEC study at the CIR; (b) Risk level perceived by participants after ETEC study at the CIR.

https://doi.org/10.1371/journal.pone.0339179.g004

thumbnail
Fig 5. Change in recalled perceived risk before and after participation in ETEC CHIM study.

https://doi.org/10.1371/journal.pone.0339179.g005

Risk perception did change after completing the study. Of the 48 respondents, 17 (35.4%) moved towards feeling the study was less risky, and 4 (8.3%) moved towards more risky. The null hypothesis of no difference between before and after was rejected (p = .007, Wilcoxon matched-pair signed rank test).

Advice to a friend

Participants were also asked what advice they would give a friend who saw an ad for one of the CIR inpatient studies and was thinking of joining for the first time. Responses varied; some said they would urge their friend to join and go for it. Others also brought in the perspective of doing good by participating. Some participants were more practical and discussed logistical considerations like what to pack, impact of confinement, and lack of privacy. Still others took a more cautious approach mentioning that these studies are not for everyone and for those interested to thoroughly know what they are signing up for. Select relevant quotes are displayed in Table 2.

thumbnail
Table 2. Participant’s advice they would give to a friend about a CIR inpatient study.

https://doi.org/10.1371/journal.pone.0339179.t002

Discussion

This study provides the perspective of participants in ETEC CHIM studies at the Center for Immunization Research. Among participants, almost 40% earned less than $18,500 a year, were unemployed, and did not have medical insurance; the majority did not have a college degree, and more than 80% identified as Black or African American. The proportion of Black or African American adults in this study is slightly higher than Baltimore City’s distribution, where 58.4% identify as Black or African American [18]. However, the preponderance of lower income participants adds to and corroborates current research which indicates that participants in early-phase healthy volunteer studies tend to be of lower socioeconomic status when the direct benefit of the study is compensation [16,19]. In situations where there might be an alternative direct benefit (such as access to a vaccine) or when altruistic considerations are high, such as during the COVID-19 pandemic, the participant demographics in a trial has been seen to shift [20,21]. Future CHIM studies might see different participant demographics as more people have the ability to work remotely following COVID-19, and as a result of the promotion of clinical trials by organizations such as 1Day Sooner [22].

This survey study found that aside from money, the food and the staff were considered the best aspects of participating, the latter ranking higher than compensation. As in previous work, when asked about the worst aspect of participating, almost one quarter reported they couldn’t think of any (22.9%) [15]. 16.7% reported the side effects experienced and 12.5% reported the other participants as the worst aspect of the study. Thus, participant interactions with other people including staff and study participants — especially since CHIM studies last several days to weeks — are important to consider when enrolling a cohort, as this plays a strong role in the overall experience of the participant. Our findings validate those of other studies, which have also found that interactions with other people are important in shaping participants’ experiences in similar healthy volunteer studies [15] reinforcing the importance of allocating extra time and effort to ensuring a good environment for the study, especially one which requires long periods of confinement.

We found that in general, participants enjoyed participating in the studies (96%) and perhaps more importantly, they wanted to participate (94%). 92% said they were glad they joined the study and 90% said they would do this kind of study again. Additionally, 90% thought that they made a significant contribution to science or medicine, 88% agreed that there were benefits other than pay, and 69% reported that they learned things about themselves through participating. Thus, despite the fact that many people develop symptoms during the ETEC CHIM, there seems to be a general positive view of participating. Volunteers wanted to participate, would do so again, and found purpose in participating. In fact, for almost 80% of participants, this was not their first research study, and 8% had participated in over 10 studies. 88% of participants also thought that the pay they received was fair, which is an important consideration when trying to avoid undue influence from payments that are too high but also avoid exploitation of participants through low payment [23]. The latter is especially true with CHIM studies because they can be particularly burdensome to healthy adult participants due to intentional infection and the long confinement required [24].

Participants in CHIM studies face many potential risks: those associated with experimental vaccines, risks of exposure to a pathogen, risks of the study procedures, risks associated with the challenge treatment as well as treatment failure, and potential psychological and social harm [25]. A literature review of 308 CHIM studies spanning four decades (1980–2021) conducted by Adams-Phipps et al. found that of 15,046 participants, there were 24 reported serious adverse events, but no reported deaths or cases of permanent sequelae [26]. Despite the real and inherent risk in a study where a significant proportion of volunteers become ill, perceptions of the risks of participating in these studies are also significantly diminished after study completion. When asked after the studies were over their recollection of how risky it seemed to them before the study started, 20 (41.7%) participants considered it not at all risky, and this jumped to 31 (64.6%) following their participation. It is important, however, to consider the inherently subjective nature of risk perception and the role of potential recall limitation due to the retrospective nature of this study and positive study outcome [27]. Risk perception is a person’s subjective assessment of how likely an unfavorable outcome will take place [28]. As stated by Slovic et al., one of the most important underlying assumptions in their psychometric paradigm framework is that risk is inherently subjective and people have invented this concept to better understand and manage the dangers and uncertainties of life [29]. Nevertheless, risk perception is still commonly found in scientific literature and closely tied to integral affects or emotions during decision-making [30,31]. As in this study the perceived risk before and after participating were assessed at the same time following participation completion, their assessment of risk prior to the study may not be accurate. However, prior research has shown that emotions can be recalled fairly accurately, and that their recall may be distorted by their current emotional state (which in this case is weighted towards less risky), suggesting that the difference in risk perception may be even greater [32]. This significant difference in risk perception could imply that there is much unknown risk before the study and that the environment is controlled to minimize potential risks during the inpatient stay [24]. Jao et al. found that controlled human malaria infection studies were mostly unfamiliar to the lay public in low- and middle-income countries, and similarly this might also be the case for CHIMs in higher income countries, potentially increasing the level of initial perceived risk [17]. This is strengthened by the fact that participants who considered the study to be “Somewhat risky” or “Very risky” before the study were those with less clinical trial experience (≤5 studies). In future studies, it would be interesting to look at the perceived burden these studies have on participants, not just whether participants consider themselves at risk. Furthermore, as the word “risky” might be interpreted differently among participants, such wording should be clearly defined in future surveys to increase interpretability.

When asked about what advice they would give a friend who found out about a study, many seemed to have a positive perspective on these trials and would recommend participating. Some mentioned compensation while several others described this as an opportunity that can help others as well. While nobody was strongly against participating, many would recommend ensuring that their friend understood what they were signing up for and what the study entails. As stated by one participant, it is not for everyone, and knowing the details of why it is being done, what is already known, and what can be expected is paramount for these studies. This stresses the importance of the informed consent process and finding ways to communicate the most essential information in an easily digestible format so that participants truly understand the requirements, procedures and risks of study participation.

This study was able to assess the experiences of participants in several ETEC inpatient studies at the CIR and provide valuable information that builds on the small body of existing literature. Nevertheless, there are limitations to the study. First, as only people that participated in CIR ETEC studies were analyzed, some of the results, in particular the best and worst aspects and their overall experiences, may not be generalizable to other locations or to challenge studies with other pathogens. The generalizability is further hindered by the small sample size (48 participants), and that most participants had prior clinical trial experience; this was the first study for only 10 participants. There may also have been non-response selection bias, where participants who could not be reached or decided not to complete the survey were systematically different, and perhaps had worse experiences, than those who did. Another important consideration is social desirability bias; as this was an interviewer-led survey, respondents may have tailored their answers according to social norms and answered what they thought interviewers wanted to hear instead of what they actually believed. Lastly, as this was a cross-sectional study conducted several months after study completion, asking about risk perception from the time prior to study participation was likely influenced by recall limitation and skewed in favor of current perceptions of the participant. To mitigate against recall bias, future studies could perform longitudinal surveys prior to and after study participation.

Conclusions

Despite the side effects expected during ETEC CHIM studies, most participants were glad they chose to participate and said that they would do so again. Interactions with staff, other participants, and food quality can greatly impact participants’ perceptions of their overall experiences and should be taken into consideration when planning a study. The risk perception of participating in such a study was greatly diminished following participation.

Supporting information

S1 Table. Perceived risk before and after by number of studies.

https://doi.org/10.1371/journal.pone.0339179.s001

(DOCX)

Acknowledgments

We would like to acknowledge all of the CIR students and staff who have helped with the study over the years. All authors have read and agreed to the published version of the manuscript.

References

  1. 1. Sharma A, Apte A, Rajappa M, Vaz M, Vaswani V, Goenka S, et al. Perceptions about controlled human infection model (CHIM) studies among members of ethics committees of Indian medical institutions: a qualitative exploration. Wellcome Open Res. 2023;7:209. pmid:36969719
  2. 2. Mitchell VS, Philipose NM, Sanford JP. The children’s vaccine initiative: achieving the vision. In: Stages of vaccine development. Washington (DC): National Academies Press (US); 1993.
  3. 3. Choy RK, Bourgeois AL, Ockenhouse CF, Walker RI, Sheets RL, Flores J. Controlled human infection models to accelerate vaccine development. Clin Microbiol Rev. 2022;35(3):8.
  4. 4. Giersing BK, Porter CK, Kotloff K, Neels P, Cravioto A, MacLennan CA. How can controlled human infection models accelerate clinical development and policy pathways for vaccines against Shigella?. Vaccine. 2019;37(34):4778–83. pmid:31358238
  5. 5. Baay MF, Richie TL, Neels P, Cavaleri M, Chilengi R, Diemert D. Human challenge trials in vaccine development. Biologicals. 2019;61:85–94.
  6. 6. Gordon SB, Rylance J, Luck A, Jambo K, Ferreira DM, Manda-Taylor L, et al. A framework for Controlled Human Infection Model (CHIM) studies in Malawi: report of a Wellcome Trust workshop on CHIM in Low Income Countries held in Blantyre, Malawi. Wellcome Open Res. 2017;2:70. pmid:29018841
  7. 7. Shah SK, Kimmelman J, Lyerly AD, Lynch HF, McCutchan F, Miller FG. Ethical considerations for zika virus human challenge trials. National Institute of Allergy and Infectious Diseases; 2017. https://www.niaid.nih.gov/sites/default/files/EthicsZikaHumanChallengeStudiesReport2017.pdf
  8. 8. Porter CK, Talaat KR, Isidean SD, Kardinaal A, Chakraborty S, Gutiérrez RL. The controlled human infection model for enterotoxigenic Escherichia coli. In: Human challenge studies for vaccine development. 2021. 189–228.
  9. 9. Frenck RW Jr, Dickey M, Suvarnapunya AE, Chandrasekaran L, Kaminski RW, Clarkson KA, et al. Establishment of a controlled human infection model with a lyophilized strain of Shigella sonnei 53G. mSphere. 2020;5(5):e00416-20. pmid:32968005
  10. 10. Miller FG, Grady C. The ethical challenge of infection-inducing challenge experiments. Clin Infect Dis. 2001;33(7):1028–33. pmid:11528576
  11. 11. Grimwade O, Savulescu J, Giubilini A, Oakley J, Osowicki J, Pollard AJ, et al. Payment in challenge studies: ethics, attitudes and a new payment for risk model. J Med Ethics. 2020;46(12):815–26. pmid:32978306
  12. 12. Raymond M, Gibani MM, Day NPJ, Cheah PY. Typhoidal Salmonella human challenge studies: ethical and practical challenges and considerations for low-resource settings. Trials. 2019;20(Suppl 2):704. pmid:31852488
  13. 13. Fisher JA, McManus L, Cottingham MD, Kalbaugh JM, Wood MM, Monahan T, et al. Healthy volunteers’ perceptions of risk in US Phase I clinical trials: a mixed-methods study. PLoS Med. 2018;15(11):e1002698. pmid:30457992
  14. 14. Almeida L, Azevedo B, Nunes T, Vaz-da-Silva M, Soares-da-Silva P. Why healthy subjects volunteer for phase I studies and how they perceive their participation?. Eur J Clin Pharmacol. 2007;63(11):1085–94. pmid:17891536
  15. 15. Kass NE, Myers R, Fuchs EJ, Carson KA, Flexner C. Balancing justice and autonomy in clinical research with healthy volunteers. Clin Pharmacol Ther. 2007;82(2):219–27. pmid:17410122
  16. 16. Fisher JA, McManus L, Wood MM, Cottingham MD, Kalbaugh JM, Monahan T, et al. Healthy volunteers’ perceptions of the benefits of their participation in phase I clinical trials. J Empir Res Hum Res Ethics. 2018;13(5):494–510. pmid:30296882
  17. 17. Jao I, Marsh V, Che Chi P, Kapulu M, Hamaluba M, Molyneux S, et al. Deliberately infecting healthy volunteers with malaria parasites: perceptions and experiences of participants and other stakeholders in a Kenyan-based malaria infection study. Bioethics. 2020;34(8):819–32. pmid:32643809
  18. 18. U.S. Census Bureau. Hispanic or latino origin by race american community survey 1-year estimates. 2023. Accessed 2025 November 22. https://censusreporter.org/profiles/05000US24510-baltimore-city-md/
  19. 19. Grady C, Bedarida G, Sinaii N, Gregorio MA, Emanuel EJ. Motivations, enrollment decisions, and socio-demographic characteristics of healthy volunteers in phase 1 research. Clin Trials. 2017;14(5):526–36. pmid:28783972
  20. 20. Marsh AA, Magalhaes M, Peeler M, Rose SM, Darton TC, Eyal N, et al. Characterizing altruistic motivation in potential volunteers for SARS-CoV-2 challenge trials. PLoS One. 2022;17(11):e0275823. pmid:36322529
  21. 21. Wunderlich B, Feijoo B, Limaye R, Moulton LH, Talaat K. Participant motivators and perceptions of risks and benefits in adult Phase 2/3 COVID-19 vaccine clinical trials. Hum Vaccin Immunother. 2025;21(1):2521192. pmid:40546058
  22. 22. Callaway E. These volunteers want to be infected with disease to aid research - will their altruism help?. Nature. 2023. pmid:38017067
  23. 23. Largent EA, Lynch HF. Paying research participants: the outsized influence of “Undue Influence”. IRB. 2017;39(4):1–9. pmid:29038611
  24. 24. Lynch HF, Darton TC, Levy J, McCormick F, Ogbogu U, Payne RO, et al. Promoting ethical payment in human infection challenge studies. Am J Bioeth. 2021;21(3):11–31. pmid:33541252
  25. 25. World Health Organization. WHO guidance on the ethical conduct of controlled human infection studies. Geneva. 2021. https://iris.who.int/handle/10665/351018
  26. 26. Adams-Phipps J, Toomey D, Więcek W, Schmit V, Wilkinson J, Scholl K, et al. A systematic review of human challenge trials, designs, and safety. Clin Infect Dis. 2023;76(4):609–19. pmid:36219704
  27. 27. Gray PG. The memory factor in social surveys. J Am Stat Assoc. 1955;50(270):344–63.
  28. 28. Paek H-J, Hove T. Risk perceptions and risk characteristics. Oxford research encyclopedia of communication. Oxford University Press; 2017. https://doi.org/10.1093/acrefore/9780190228613.013.283
  29. 29. Slovic P. Perception of risk: reflections on the psychometric paradigm. 1992.
  30. 30. Dickert S, Västfjäll D, Mauro R, Slovic P. The feeling of risk. In: The Sage handbook of risk communication. 2014. 41–54.
  31. 31. Qian D, Li O. The relationship between risk event involvement and risk perception during the COVID-19 outbreak in China. Appl Psychol Health Well Being. 2020;12(4):983–99. pmid:32829535
  32. 32. Levine LJ, Safer MA. Sources of bias in memory for emotions. Curr Dir Psychol Sci. 2002;11(5):169–73.