Author(s) and year (reference no.) | Country (-ies) | Epidemic-prone disease (s) under study | Study population(s) | Study aim | Conceptual framework | Definition of risk perception | Methods (study design, type of data collected, data collection method(s), methods for assessing/measuring risk perception) |
---|---|---|---|---|---|---|---|
Abdi et al. 2015 [45] | Kenya | Rift Valley Fever (RVF) | General adult population | To assess the knowledge, attitudes, and practices regarding RVF among a pastoralist community | KAP | Perceived severity (RVF is a dangerous disease) Perceived likelihood (you are at a risk of RVF infection) | Cross-sectional study; quantitative data; interviewer-administered questionnaire; 5-point Likert-type scale |
Abou-Abbas et al. 2020 [73] | Lebanon | COVID-19 | Health professionals | To assess the knowledge and practices of physicians regarding COVID-19, and to evaluate their fear towards COVID-19 and their perceptions regarding policies/actions implemented by the government and their health care settings in handling COVID-19 pandemic | None | Affective response (fear towards COVID-19) | Cross-sectional study; quantitative data; self-administered questionnaire; 3-point Likert-type scale |
Adhena and Hidru 2020 [64] | Ethiopia | COVID-19 | General adult population | To assess the knowledge, attitude, and practice of high-risk age groups towards COVID-19 prevention and control | KAP | Perceived likelihood (think he/she is at risk of getting sick with the new coronavirus) | Cross-sectional study; quantitative data; interviewer-administered questionnaire; yes/no response options |
Akalu et al. 2020 [57] | Ethiopia | COVID-19 | General adult population | To determine the knowledge, attitudes, and practices towards COVID-19 and associated factors of poor knowledge and practice among chronic disease patients | KAP | Perceived likelihood (risk of infection with COVID-19) | Cross-sectional study; quantitative data; interviewer-administered questionnaire; 4-point Likert-type scale |
Akram et al. 2015 [40] | Pakistan | Cutaneous leishmaniasis | General adult population | To assess the level of knowledge, attitude and practices of the community related to cutaneous leishmaniasis | KAP | Perceived severity (seriousness of the disease as compared to dengue fever) | Cross-sectional study; quantitative data; interviewer-administered questionnaire; choice of two comparative statements: Leishmaniasis is more serious than dengue fever OR dengue fever is more serious than leishmaniasis |
Alyousefi et al. 2016 [51] | Yemen | Dengue fever | General adult population | To describe the knowledge, attitudes, and practices of local urban communities towards dengue fever | KAP | Perceived severity (dengue fever is a serious disease) Perceived likelihood (I am at risk of dengue fever) | Cross-sectional study; quantitative data; interviewer-administered questionnaire; 4-point Likert-type scale |
Asnakew et al. 2020 [62] | Ethiopia | COVID-19 | General adult population | To assess the community’s level of risk perception of COVID-19, precautionary behaviour, and intention to comply with the nonpharmaceutical preventive measures | None | Perceived likelihood (likelihood of being infected with the COVID-19 at any point in the future/likelihood of families or friends will be infected with the COVID-19 at any point in the future/likelihood they will contract COVID-19 from families or friends) Perceived severity (subjective: chance of having recovering from COVID-19/chance of surviving if infected with COVID-19/chance of having no symptoms if infected with COVID-19/the chance of having mild disease if infected with COVID-19 i.e. e.g. can go about daily tasks normally)—(objective: perceived seriousness of COVID-19) Affective perception (their level of worry due to COVID-19) | Cross-sectional study; quantitative data; self-administered questionnaire; 5-point Likert-type scale |
Ayegbusi et al. 2016 [67] | Nigeria | Ebola virus disease | General adult population | To examine the perception of the target population on their vulnerability to EVD and the prevention practices they observe to guard against being infected | Weberian social action theory | Perceived likelihood (to be infected to COVID-19) | Cross-sectional study; qualitative data; in-depth interviews; cannot be discerned from paper |
Bell et al. 2017 [72] | Liberia | Ebola virus disease | Health professionals | To explore healthcare providers’ perceptions and reactions to the EVD epidemic | None | Affective perception (tell us about your biggest fears for yourself as a community health worker because of Ebola) | Cross-sectional study; qualitative data; semi-structured focus group discussions; open-ended question |
Berman et al. 2017 [58] | Liberia | Ebola virus disease | General adult population | To rapidly collect information from communities on the front lines of the outbreak | The ideation metatheory | Perceived likelihood (how likely are you to be infected?) | Cross-sectional study; quantitative data; SMS-based survey; 3-point Likert-type scale |
Blum et al. 2014 [39] | Malawi | Typhoid fever | General adult population | To investigate factors associated with the acceptability of typhoid vaccine in response to this ongoing typhoid outbreak | None | Perceived severity (perceived severity of typhoid compared with other common illnesses) | Cross-sectional; qualitative data; freelisting exercises, in-depth interviews; free listing and open-ended questions |
Chaudhary et al. 2020 [74] | Pakistan | COVID-19 | Health professionals | To evaluate/contrast the clinical and non-clinical oral healthcare workers’ concerns, perceived impact, and preparedness for the COVID-19 pandemic | None | Perceived susceptibility to infection (the job risks an exposure to COVID-19) Affective response (fear of getting infected by COVID-19) | Cross-sectional study; quantitative data; self-administered questionnaire; 6-point Likert-type scale |
Claude et al. 2019 [107] | Democratic Republic of Congo | Ebola virus disease | General adult population | To explore social resistance to EVD control efforts during the current persistent outbreak | None | Perceived likelihood (participants were asked to identify whether they felt they were at high, intermediate or low risk of contracting EVD) | Cross-sectional study; mixed methods; focus group discussions, interviewer-administered questionnaire; 3-point Likert-type scale |
Coulibaly et al. 2013 [108] | Ivory Coast | Pandemic influenza A (H1N1) | Health professionals | To determine health professionals’ level of knowledge about the influenza pandemic and their willingness to be vaccinated | None | Perceived likelihood (feel at risk of contracting pH1N1) Affective response (fear of becoming infected with pH1N1 AND fear of becoming influenza infected at the hospital) | Cross-sectional study; quantitative data; interviewer-administered questionnaire; yes/no response options |
Echoru et al. 2020 [43] | Uganda | COVID-19 | General adult population | To determine the knowledge, attitudes, and preparedness/practices of lecturers and students in the fight against COVID-19 | None | Perceived severity (COVID-19 is dangerous and can kill) Perceived likelihood (anyone can get COVID-19) | Cross-sectional study; quantitative data; self-administered questionnaire; yes/no response options |
Ekra et al. 2017 [81] | Ivory Coast | Dengue fever | Health professionals | To identify the determinants of good practices in the diagnosis of dengue among healthcare workers | None | Perceived severity (perception of the seriousness of the disease) Perceived likelihood (their perception of the fact that Cote d’Ivoire can be at risk of dengue) | Cross-sectional study; quantitative data; interviewer-administered questionnaire; yes/no response options |
Englert et al. 2019 [76] | Uganda | Ebola virus disease Marburg virus disease | Health professionals | To describe the perspectives and actions of health workers in three filovirus outbreaks between 2000 and 2012 | The social process theory | Affective perception (how concerned were you for your own well-being?—did you ever experience fear, anxiety or depression from the outbreaks?) | Cross-sectional; qualitative data; in-depth interviews; Open-ended question |
Ernst et al. 2016 [47] | Kenya | Malaria | General adult population | To determine factors associated with household-level ownership of bed nets factors associated with not using all available bed nets | The health belief model | Perceived likelihood (family at risk of malaria) Perceived severity (malaria is serious) Perceived susceptibility (children are more at risk than adults) | Cross-sectional study; quantitative data; interviewer-administered questionnaire; unable to ascertain from paper |
Fatiregun et al. 2012 [78] | Nigeria | Pandemic influenza A (H1N1) | Health professionals | To determine the willingness of doctors and nurses working in health facilities to receive the pandemic A vaccine and to identify factors associated with their willingness to receive the vaccination | None | Perceived likelihood (perception of risk of contracting the infection) | Cross-sectional study; quantitative data; self-administered questionnaire; risk perception of contracting infection was scored based on 13 questions from the risk perception section. Each correct perception was awarded one point while the wrong perception was awarded no points. Scores < 7 were categorised as low risk perception, and those with and scores ≥ 7 were categorised as high risk perception |
Ghazi et al. 2020 [63] | Iraq | COVID-19 | General adult population | To assess knowledge, attitude, and practice toward COVID-19 | KAP | Perceived severity (I think COVID-19 is contagious and can lead to death/cannot lead to death AND I feel COVID-19 is dangerous/very dangerous/seriously dangerous/not dangerous) | Cross-sectional study; quantitative data; self-administered questionnaire; choice of two comparative statements: contagious and cannot lead to death OR contagious and can lead to death, 4-point Likert-type scale |
Gidado et al. 2015 [59] | Nigeria | Ebola virus disease | General adult population | To assess public knowledge, perception and adequacy of information on EVD | None | Perceived likelihood (risk of contracting infection) | Cross-sectional study; quantitative data; interviewer-administered questionnaire; unable to ascertain from paper |
Girma et al. 2020 [75] | Ethiopia | COVID-19 | Health professionals | To assess health professionals’ risk perception and their precautionary behavioural responses | None | Perceived likelihood (perception of risk of contracting the infection) Perceived severity Perceived susceptibility (perceived vulnerability to infection, and respondents’ self-efficacy) | Cross-sectional study; quantitative data; self-administered questionnaire; 5-point Likert-type scale |
Girum et al. 2017 [48] | Ethiopia | Malaria | General adult population | To identify factors affecting prevention and control of malaria | None | Perceived severity (I think that malaria is a life-threatening disease) Perceived likelihood (I am sure that anyone can get malaria) Perceived susceptibility (In my opinion, children and pregnant women are at higher risk of malaria) | Cross-sectional study; quantitative data; interviewer-administered questionnaire; 4-point Likert-type scale |
Hakim et al. 2020 [109] | Pakistan | COVID-19 | Health professionals | To assess self-reported access to PPE, whether adequate information was provided about the use of PPE, COVID-19 risk perceptions, and the ability to perform donning and doffing of PPE | None | Perceived likelihood (risk perception of contracting the disease during professional duty and daily life) | Cross-sectional study; quantitative data; self-administered questionnaire; 4-point Likert-type scale |
Idris et al. 2015 [79] | Nigeria | Ebola virus disease | Health professionals | To determine and compare what two subgroups of the health community know, what their beliefs are, and what their current practices are with regards to EVD | None | Perceived likelihood (risk of contracting infection) | Cross-sectional study; quantitative data; interviewer-administered questionnaire; 5-point Likert-type scale |
Ilesanmi and Afolabi 2020 [53] | Nigeria | COVID-19 | General adult population | To assess the perception and practices of community members in urban areas regarding COVID-19 | None | Perceived likelihood (risk of contracting infection) perceived severity (It is a deadly disease) | Cross-sectional study; quantitative data; interviewer-administered questionnaire; yes/no response options |
Iliyasu et al. 2015 [77] | Nigeria | Ebola virus disease | General adult population, health professionals | To ascertain the knowledge, attitude and practice of EVD in three states of Nigeria | KAP | Affective perception (fear of getting EVD) Perceived severity (Ebola is a serious disease) | Cross-sectional study; quantitative data; self-administered questionnaire; perceived likelihood: 10-point Likert-type scale, perceived severity: 4-point Likert-type scale |
Iorfa et al. 2020 [69] | Nigeria | COVID-19 | General adult population | To explore the relationship between COVID-19 knowledge, risk perception, and precautionary behaviour, and to determine whether this relationship differed for men and women | The moderated mediation model | Affective perception (worry about contracting COVID-19) | Cross-sectional study; quantitative data; self-administered questionnaire; 7-point Likert-type scale |
Irwin et al. 2017 [110] | Guinea | Ebola virus disease | General adult population | To assess attitudes about Ebola vaccines | None | Perceived likelihood (self-rated risk of contracting Ebola) | Cross-sectional study; quantitative data; interviewer-administered questionnaire; 3-point Likert-type scale |
Jalloh et al. 2018 [111] | Sierra Leone | Ebola virus disease | General adult population | To estimate prevalence of mental health symptoms and factors associated with having symptoms | None | Affective perception (perceived threat of Ebola to country, district, community, household) | Cross-sectional study; quantitative data; interviewer-administered questionnaire; 4-point Likert-type scale |
Jiang et al. 2016 [60] | Sierra Leone | Ebola virus disease | General adult population | To understand the knowledge, attitudes, practices, and perceived risk of EVD among the public | None | Perceived likelihood (risk of contracting infection) | Cross-sectional study; quantitative data; interviewer-administered questionnaire; 3-point Likert-type scale |
Kabito et al. 2020 [54] | Ethiopia | COVID-19 | General adult population | To analyse the prevalence and factors associated with risk perception of COVID-19 infections | None | Perceived susceptibility (how likely one considered oneself (his/her families) would be infected with COVID-19 if no preventive measure will be taken) Perceived severity (proxied by how one rated the seriousness of symptoms caused by COVID-19, their perceived chance of having COVID-19 cured and that of survival if infected) | Cross-sectional study; quantitative data; interviewer-administered questionnaire; 5-point Likert-type scale |
Kamara et al. 2020 [38] | Sierra Leone | Disease resembling COVID-19 Disease resembling Ebola virus disease | General adult population | To gain insight into how rural people faced with Covid-19 assess epidemic infection risks | None | perceived likelihood (chance of being infected or not) Perceived severity (chance of dying or surviving the diseases) | Cross-sectional; Qualitative data; An experimental game devised to encourage villagers to talk comparatively about infection risks; preference for one of two scenarios of diseases with likelihood of infection and death |
Kaponda et al. 2019 [66] | Malawi | Cholera | General adult population | To investigate drinking water source quality compared with water treatment, risk perception and cholera knowledge for patients who had reported to a health centre for treatment | None | Perceived likelihood (personal risk for contracting cholera in the future) | Cross-sectional study; quantitative data; interviewer-administered questionnaire; 3-point Likert-type scale |
Kasereka and Hawkes 2019 [50] | Democratic Republic of Congo | Ebola virus disease | General adult population, health professionals | To probe community beliefs around Ebola and its origins | None | Affective perception (‘Are you worried about Ebola?’) | Cross-sectional study; mixed methods; focus group discussions, Interviewer-administered questionnaire; yes/no response options |
Kasereka et al. 2019 [70] | Democratic Republic of Congo | Ebola virus disease | General adult population | To describe patient-reported side effect profiles and vaccination experiences, attitudes towards the vaccine, as well as desires for personal and community vaccination | None | Affective perception (‘Are you worried about Ebola?’) Perceived likelihood (personal risk of contracting EVD) | Cross-sectional study; quantitative data; interviewer-administered questionnaire; affective perception: yes/no response options, perceived likelihood: 4-point Likert-type scale |
Khowaja et al. 2011 [71] | Pakistan | Pandemic influenza A (H1N1) | Health professionals | To assess student awareness of the H1N1 pandemic | None | Affective perception (worried about current global outbreak) Perceived severity (severity of disease) | Cross-sectional study; Quantitative data; Self-administered questionnaire; 5-point Likert-type scale |
Mohamed et al. 2017 [112] | Sudan | Ebola virus disease | General adult population | To explore the knowledge, attitude and practices of rural residents in Sudan regarding Ebola haemorrhagic fever | None | Perceived severity (severity of disease) | Cross-sectional study; quantitative data; interviewer-administered questionnaire; 6-point Likert-type scale |
Murele et al. 2014 [113] | Nigeria | Poliomyelitis | General adult population | To explore and document the perceptions of vaccine among care givers who accept or refuse the immunization of their children against polio virus | The health belief model | Perceived susceptibility to polio virus infection | Cross-sectional; qualitative data; in-depth interviews; open-ended question |
Ogoina et al. 2016 [83] | Nigeria | Ebola virus disease | Health professionals | To report the opinions and behaviours of healthcare workers during an EVD outbreak | None | Affective perception (affective response: “how would you rate your fear of Ebola?”) | Cross-sectional study; quantitative data; self-administered questionnaire;10-point Likert-type scale |
Olowookere et al. 2015 [80] | Nigeria | Ebola virus disease | Health professionals | To assess the preparedness of health workers in the control and management of EVD | None | Perceived susceptibility (of self: Consider self to be at risk—of others: health workers are prone to having EVD) | Cross-sectional study; quantitative data; self-administered questionnaire; 3-point Likert-type scale |
Ozioko et al. 2018 [56] | Nigeria | Zoonotic infections | General adult population | To evaluate bushmeat dealers’ knowledge and attitudes about zoonotic infections and the risk of transmission to humans | None | Perceived likelihood (contracting a work-related zoonosis) | Cross-sectional study; quantitative data; interviewer-administered questionnaire; yes/no response options |
Philavong et al. 2020 [65] | Lao | Zoonotic infections | Ge#neral adult population | To establish baseline characteristics of market traders (demography, geographical origins) and their perception, behaviours and practices in regard to disease risk in markets | None | Perceived likelihood (risk to self of contracting disease from items sold—risk to others in same vendor group from items sold—risk of disease transmission due to occupation) | Cross-sectional study; quantitative data; interviewer-administered questionnaire; yes/no/unsure response options |
Rizwan et al. 2020 [42] | Pakistan | COVID-19 | General adult population | To determine the knowledge, risk perception and behavioural response of COVID-19 | Perceived likelihood (risk of contracting infection to self—to family member—to average Pakistani) Perceived severity (of disease in general—of disease if personally contracted infection—of disease if family member contracted infection) | Cross-sectional study; quantitative data; interviewer-administered questionnaire; 5-point Likert-type scale | |
Schaetti et al. 2013 [41] | Democratic Republic of Congo Kenya Tanzania (Zanzibar) | Cholera | General adult population | To review and systematically compare local cholera-related recognition, risk perceptions, experience, and meaning in endemic settings | Explanatory Model Interview Catalogue framework | Perceived likelihood (risk to different population groups) Perceived severity (perceived seriousness of cholera—potential fatality of cholera) | Cross-sectional study; quantitative data; interviewer-administered questionnaire; Perceived likelihood: categorical response options + open-ended question for justification of choice (males or females? adults or children? rich or poor people?), Perceived severity: 4-point Likert-type scale + open-ended question for justification of choice |
Schmidt-Hellerau et al. 2020 [61] | Sierra Leone | Ebola virus disease | General adult population | To obtain a contextual understanding of intended and reported protective measures when caring for suspected Ebola patients at home during an outbreak | KAP | Perceived likelihood (perceived risk of contracting EVD in the next 6 months) | Cross-sectional study; mixed methods; interviewer-administered questionnaire, in-depth interviews; 5-point Likert-type scale |
Sengeh et al. 2020 [114] | Sierra Leone | COVID-19 | General adult population | To assess the public’s knowledge, attitudes and practices about the novel coronavirus | KAP | Perceived likelihood (risk of contracting infection in the next 6 months) | Cross-sectional study; quantitative data; interviewer-administered questionnaire; unable to ascertain from paper |
Shabani et al. 2015 [46] | Tanzania | Rift Valley Fever (RVF) | General adult population | To determine perceived risk of RVF among community members | None | Perceived likelihood (perceived risk of contracting RVF) Perceived severity (RVF is a serious disease) | Cross-sectional study; quantitative data; interviewer-administered questionnaire; 5-point Likert-type scale |
Shakeel et al. 2020 [82] | Pakistan | COVID-19 | Health professionals | To evaluate the knowledge, attitude, and precautionary practices of healthcare providers towards COVID-19 | None | Perceived severity (COVID-19 is a dangerous disease) | Cross-sectional study; quantitative data; self-administered questionnaire; 5-point Likert-type scale |
Tadesse et al. 2020 [115] | Ethiopia | COVID-19 | Health professionals | To investigate knowledge, attitudes and practices, and psychological response towards COVID-19 among nurses | None | Perceived likelihood (risk of infection to self—risk of infection to family members) Affective response (worried that one of your family members will get an infection) | Cross-sectional study; quantitative data; self-administered questionnaire; 5-point Likert-type scale |
ul Haq et al. 2020 [116] | Pakistan | COVID-19 | General adult population | To assess the knowledge of the general public both rural and urban about COVID-19; to determine precautionary measures taken by rural and urban people to avoid COVID-19; to determine the factors affecting precautionary measures; to assess the behaviour of rural and urban people towards COVID-19; to check the availability and affordability of essential protective items for rural and urban people | Developed by authors | Perceived severity (how risky is COVID-19 in your view?) | Cross-sectional study; quantitative data; self-administered questionnaire; 5-point Likert-type scale |
Usifoh et al. 2019 [49] | Nigeria | Lassa fever | General adult population | To assess the perceived stigmatization associated with LF outbreaks among university staff and students | None | Perceived likelihood (possibility of Lassa fever infection) perceived severity (how serious is Lassa fever?) | Cross-sectional study; quantitative data; self-administered questionnaire; perceived likelihood: 4-point Likert-type scale, perceived severity: 5-point Likert-type scale |
Usuwa et al. 2020 [44] | Nigeria | Lassa fever | General adult population | To investigate the knowledge and risk perception of residents towards LF and determine the factors influencing their risk perception in communities that have reported confirmed cases of LF | The health belief model | perceived susceptibility (if you do not take any preventive measures) Perceived severity (seriousness of illness in general and if contracted by respondent) | Cross-sectional study; quantitative data; interviewer-administered questionnaire; 5-point Likert-type scale |
Winters et al. 2020 [68] | Sierra Leone | Ebola virus disease | General adult population | To determine how exposure to information sources, knowledge and behaviours potentially influenced risk perceptions during an Ebola Virus Disease outbreak i | KAP | Perceived likelihood (level of risk in getting Ebola in the next 6 months) | Longitudinal study (3 cross-sectional surveys, different respondents in each survey); quantitative data; interviewer-administered questionnaire; 4-point Likert-type scale |
Xu et al. 2019 [55] | Myanmar | Dengue fever | General adult population | To investigate the health beliefs, knowledge and perception about dengue fever | None | Perceived likelihood (perceived risk of contracting dengue fever) Perceived severity (dengue fever is a serious illness—dengue fever is a deadly disease) | Cross-sectional study; mixed methods; interviewer-administered questionnaire, in-depth interviews; Unable to ascertain from paper |
Xu et al. 2020 [52] | Myanmar | Dengue fever | General adult population | To understand health beliefs in general, and knowledge and treatment-seeking and prevention behaviours related to dengue fever | None | Perceived likelihood (perceived risk of contracting dengue fever) Perceived severity (dengue fever is a serious illness—dengue fever is a deadly disease) | Cross-sectional study; mixed methods; interviewer-administered questionnaire, in-depth interviews; unable to ascertain from paper |