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Mugeni R, Ruranga C, Mutezimana E, Nishimwe A, Nzabanita J, Masabo E, Akili V, Twizeyimana L, Bahati O, Uwimana A, Musabanabaganwa C, Semakula M, Rukundo G, Jansen S, Mukamana L, Rubagiza J, Twagirumukiza M. Assessing factors associated with compliance to preventive measures of COVID-19 in Rwanda: a cross-sectional community survey. BMJ Open 2024; 14:e078610. [PMID: 39053965 DOI: 10.1136/bmjopen-2023-078610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/27/2024] Open
Abstract
OBJECTIVE To assess the level of compliance with COVID-19 preventive measures and compliance-associated factors in the Rwanda community. DESIGN Cross-sectional study. SETTINGS Country-wide community survey in Rwanda. PARTICIPANTS 4763 participants were randomly sampled following the sampling frame used for the recent Rwanda Demographic Health Survey. Participants were aged between 22 years and 94 years. OUTCOMES The participants' compliance with three preventive measures (wearing a face mask, washing hands and social distancing) was the main outcome. METHODS From 14 February 2022 to 27 February 2022, a cross-sectional survey using telephone calls was conducted. Study questionnaires included different questions such as participants' demographics and compliance with COVID-19 preventives measures. Verbal consent was obtained from each participant. The compliance on three main preventive measures (wearing a mask, washing hands and social distancing) were the main outcomes. Univariate and multivariable logistic regression analyses were performed to evaluate factors associated with compliance (age, gender, level of education, socioeconomic status). RESULTS Compliance with the three primary preventive measures (washing hands 98%, wearing a mask 97% and observing social distance 98%) was at a rate of 95%. The respondents' mean age was 46±11 SD (range 22-98) years. In addition, 69% were female and 86% had attended primary education. Bivariate and regression analyses indicated a significant association among the three primary preventive measures (p<0.05). The results showed factors associated significantly between the different models (p<0.05): proper mask use and social distancing in the hand washing model; hand washing, social distancing, avoiding handshakes and not attending gatherings in the proper mask use model; hand washing and avoiding handshakes in the social distancing model. CONCLUSION Compliance with the three key preventive measures against COVID-19 was high in the Rwandan community and these measures were interdependent. Therefore, the importance of all three measures should be emphasised for effective disease control.
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Affiliation(s)
- Regine Mugeni
- Kibagabaga Level Two Teaching Hospital, Republic of Rwanda Ministry of Health, Kigali, Rwanda
| | - Charles Ruranga
- University of Rwanda, Kigali, Rwanda
- College of Business and Economics, University of Rwanda, Kigali, Rwanda
- African Centre of Excellence in Data Science, University of Rwanda, Kigali, Rwanda
| | - Elias Mutezimana
- University of Rwanda, Kigali, Rwanda
- African Centre of Excellence in Data Science, University of Rwanda, Kigali, Rwanda
| | - Aurore Nishimwe
- Regional Alliance for Sustainable Development, Kigali, Rwanda
- College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda
| | - Joseph Nzabanita
- University of Rwanda, Kigali, Rwanda
- College of Science and Technology, University of Rwanda, Kigali, Rwanda
| | - Emmanuel Masabo
- University of Rwanda, Kigali, Rwanda
- African Centre of Excellence in Data Science, University of Rwanda, Kigali, Rwanda
- College of Science and Technology, University of Rwanda, Kigali, Rwanda
| | - Viviane Akili
- Regional Alliance for Sustainable Development, Kigali, Rwanda
- Single Project Implementation Unit (SPIU), University of Rwanda, Kigali, Rwanda
| | - Laurence Twizeyimana
- Regional Alliance for Sustainable Development, Kigali, Rwanda
- Single Project Implementation Unit (SPIU), University of Rwanda, Kigali, Rwanda
| | - Odile Bahati
- Regional Alliance for Sustainable Development, Kigali, Rwanda
- Single Project Implementation Unit (SPIU), University of Rwanda, Kigali, Rwanda
| | | | | | - Muhamed Semakula
- Rwanda Biomedical Center, Ministry of Health, Kigali, Rwanda
- Centre for Statistics, Hasselt Biostatistics and statistical Bioinformatics Center, Hasselt University, Diepenbeek, Limburg, Belgium
| | - Gilbert Rukundo
- Rwanda Biomedical Center, Ministry of Health, Kigali, Rwanda
| | - Stefan Jansen
- College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda
| | - Liberata Mukamana
- University of Rwanda, Kigali, Rwanda
- College of Business and Economics, University of Rwanda, Kigali, Rwanda
| | - Jolly Rubagiza
- University of Rwanda, Kigali, Rwanda
- Center for Gender Studies, University of Rwanda, Kigali, Rwanda
| | - Marc Twagirumukiza
- University of Rwanda, Kigali, Rwanda
- College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda
- Faculty of Medicine and Health Sciences, Ghent University, Gent, Belgium
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Gamillscheg P, Mayer S, Pietrzak-Franger M, Hilmar C, Lange A, Simon J, Łaszewska A. Understanding the associations between information sources, sociodemographics, and views on public health measures: evidence from the COVID-19 pandemic in Austria. BMC Public Health 2024; 24:1576. [PMID: 38867264 PMCID: PMC11167807 DOI: 10.1186/s12889-024-19061-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 06/05/2024] [Indexed: 06/14/2024] Open
Abstract
BACKGROUND Throughout the COVID-19 pandemic, it was a key priority for governments globally to ensure agreement with, and subsequently adherence to, imposed public health measures, specifically non-pharmaceutical interventions (NPIs). Prior research in this regard highlighted the role of COVID-19 information sources as well as sociodemographic and other personal characteristics, however, there is only limited evidence including both. To bridge this gap, this study investigated the associations of COVID-19 information sources such as social media and participant characteristics with agreement with and adherence to NPIs during the first lockdown in Austria. METHODS An online survey was conducted in May 2020 among adult Austrian residents asking about their experiences during the first lockdown. Collected data included sociodemographic characteristics, main COVID-19-related information sources, agreement with/adherence to three NPIs (no physical contact to family members not living in the same household, leisurely walks restricted to members of the same household, mandatory face masks) and information about perceived social support using the Multidimensional Scale of Perceived Social Support (MSPSS), anxiety/depression levels using the Hospital Anxiety and Depression Scale (HADS), whether participants felt well advised by the government, and whether participants perceived the pandemic to threaten their income. Ordered and multinomial logistic regression models were employed to achieve the research aims. RESULTS The cross-sectional sample consisted of 559 Austrian residents. Using social media as main COVID-19 information source was consistently associated with lower agreement with NPIs. A positive association with agreement with measures was found for higher educational backgrounds and higher anxiety levels. By contrast, higher levels of depression, not feeling well advised by the government, and perceiving the pandemic as an economic threat were negatively associated with agreement with measures. Moreover, the use of social media as main COVID-19 information source and not feeling well advised by the government were associated with lower adherence to NPIs. By contrast, higher levels of education were associated with higher adherence. CONCLUSIONS This comprehensive analysis emphasizes the associations of COVID-19 information sources as well as sociodemographic and other participant characteristics with agreement with and adherence to NPIs, bearing important implications for future public health crisis communication strategies.
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Affiliation(s)
- Peter Gamillscheg
- Department of Health Economics, Center for Public Health, Medical University of Vienna, Kinderspitalgasse 15/1, Vienna, 1090, Austria
| | - Susanne Mayer
- Department of Health Economics, Center for Public Health, Medical University of Vienna, Kinderspitalgasse 15/1, Vienna, 1090, Austria.
| | - Monika Pietrzak-Franger
- Department of English and American Studies, University of Vienna, Spitalgasse 2, Hof 8.3 (Campus), Vienna, 1090, Austria
| | - Carina Hilmar
- Department of English and American Studies, University of Vienna, Spitalgasse 2, Hof 8.3 (Campus), Vienna, 1090, Austria
| | - Alina Lange
- Department of English and American Studies, University of Vienna, Spitalgasse 2, Hof 8.3 (Campus), Vienna, 1090, Austria
| | - Judit Simon
- Department of Health Economics, Center for Public Health, Medical University of Vienna, Kinderspitalgasse 15/1, Vienna, 1090, Austria
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK
| | - Agata Łaszewska
- Department of Health Economics, Center for Public Health, Medical University of Vienna, Kinderspitalgasse 15/1, Vienna, 1090, Austria
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Beca-Martínez MT, Ayala A, Falcón-Romero M, Rodríguez-Blázquez C, Benito-Llanes A, Forjaz MJ, Romay-Barja M. Characteristics of adults who reported not having had COVID-19 in Spain after the first two years of the pandemic and associated factors. J Infect Public Health 2024; 17:435-442. [PMID: 38262081 DOI: 10.1016/j.jiph.2023.12.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 12/22/2023] [Accepted: 12/31/2023] [Indexed: 01/25/2024] Open
Abstract
BACKGROUND There is little evidence regarding the characteristics of adults who self-reported not having had COVID-19 after two years of the pandemic. This study aimed to analyse the characteristics of no-COVID-19 respondents and the associated factors to better understand which may have conditioned not having had the disease as guidance to help in the design of better public health strategies. METHODS This cross-sectional, observational study was conducted in the Spanish general population in a representative sample of 1051 adults who completed an online survey in September 2022. Multivariable logistic regression was performed to assess which factors were related to reporting not having had COVID-19. RESULTS Almost half of the respondents (47.8%) reported not having ever had COVID-19. Significant differences were found between people who reported having had and not having had COVID-19 according to sex, age, education level, employment and living with children. No-COVID-19 respondents had greater concern and less fear of the disease and were more worried about the new variants. After the multivariable analysis, factors associated with no-COVID-19 respondents were male sex (OR)=1.40; 95% (CI=1.07-1.82), older age (OR=1.01; 95% CI=1.01-1.03), having a greater perception of disease severity if infected (OR=4.71; 95% CI=2.97-7.47), greater adherence to preventive measures (OR=1.02; 95% CI=1.01-1.03), and having received a complete vaccination schedule and booster dose (OR=1.56; 95% CI=1.03-2.36). CONCLUSIONS Analysing the characteristics of people reporting not having had COVID-19 can support public health decision-makers in designing better interventions and facilitating the implementation of effective prevention and control measures to prepare for and respond to a possible future pandemic.
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Affiliation(s)
- María Teresa Beca-Martínez
- Escuela Internacional de Doctorado de la Universidad Nacional de Educación a Distancia (UNED), Programa de Doctorado en Ciencias Biomédicas y Salud Pública, C/ Bravo Murillo, 38, 28015 Madrid, Spain
| | - Alba Ayala
- Unidad de Investigación en Cuidados y Servicios de Salud (Investén-ISCIII), Instituto de Salud Carlos III (ISCIII), Avda. Monforte de Lemos, 5, 28029 Madrid, Spain; Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), Madrid, Spain
| | - María Falcón-Romero
- Departamento de Ciencias Sociales y de la Salud, Medicina Legal y Forense, Universidad de Murcia, Avda. Teniente Flomesta, 5, 30003 Murcia, Spain
| | - Carmen Rodríguez-Blázquez
- Centro Nacional de Epidemiología y Centro de Investigaciones Biomédicas en Red de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III (ISCIII), Avda. Monforte de Lemos, 5, 28029 Madrid, Spain
| | - Agustín Benito-Llanes
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Avda. Monforte de Lemos 5, 28029 Madrid, Spain; Centro Nacional de Medicina Tropical, Instituto de Salud Carlos III (ISCIII), Avda. Monforte de Lemos, 5, 28029 Madrid, Spain
| | - Maria João Forjaz
- Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), Madrid, Spain; Centro Nacional de Epidemiología, Instituto de Salud Carlos III (ISCIII), Avda. Monforte de Lemos, 5, 28029 Madrid, Spain
| | - María Romay-Barja
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Avda. Monforte de Lemos 5, 28029 Madrid, Spain; Centro Nacional de Medicina Tropical, Instituto de Salud Carlos III (ISCIII), Avda. Monforte de Lemos, 5, 28029 Madrid, Spain.
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