4
views
0
recommends
+1 Recommend
3 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found

      Vaccine hesitancy among communities in ten countries in Asia, Africa, and South America during the COVID-19 pandemic

      1 , 2 , 3 , 4 , 5 , 6 , 7 , 1 , 1 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 15 , 16 , 15 , 17 , 17 , 18 , 19 , 20 , 21 , 19 , 22 , 23 , 24 , 24 , 25 , 26 , 27 , 27 , 27 , 27 , 27 , 28 , 29 , 30 , 31 , 32 , 29 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 1 , 2 , 3
      Pathogens and Global Health
      Informa UK Limited

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references43

          • Record: found
          • Abstract: found
          • Article: not found
          Is Open Access

          Vaccine hesitancy: Definition, scope and determinants.

          The SAGE Working Group on Vaccine Hesitancy concluded that vaccine hesitancy refers to delay in acceptance or refusal of vaccination despite availability of vaccination services. Vaccine hesitancy is complex and context specific, varying across time, place and vaccines. It is influenced by factors such as complacency, convenience and confidence. The Working Group retained the term 'vaccine' rather than 'vaccination' hesitancy, although the latter more correctly implies the broader range of immunization concerns, as vaccine hesitancy is the more commonly used term. While high levels of hesitancy lead to low vaccine demand, low levels of hesitancy do not necessarily mean high vaccine demand. The Vaccine Hesitancy Determinants Matrix displays the factors influencing the behavioral decision to accept, delay or reject some or all vaccines under three categories: contextual, individual and group, and vaccine/vaccination-specific influences.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Clinical, laboratory and imaging features of COVID-19: A systematic review and meta-analysis

            Introduction An epidemic of Coronavirus Disease 2019 (COVID-19) began in December 2019 in China leading to a Public Health Emergency of International Concern (PHEIC). Clinical, laboratory, and imaging features have been partially characterized in some observational studies. No systematic reviews on COVID-19 have been published to date. Methods We performed a systematic literature review with meta-analysis, using three databases to assess clinical, laboratory, imaging features, and outcomes of COVID-19 confirmed cases. Observational studies and also case reports, were included, and analyzed separately. We performed a random-effects model meta-analysis to calculate pooled prevalences and 95% confidence intervals (95%CI). Results 660 articles were retrieved for the time frame (1/1/2020-2/23/2020). After screening, 27 articles were selected for full-text assessment, 19 being finally included for qualitative and quantitative analyses. Additionally, 39 case report articles were included and analyzed separately. For 656 patients, fever (88.7%, 95%CI 84.5–92.9%), cough (57.6%, 95%CI 40.8–74.4%) and dyspnea (45.6%, 95%CI 10.9–80.4%) were the most prevalent manifestations. Among the patients, 20.3% (95%CI 10.0–30.6%) required intensive care unit (ICU), 32.8% presented with acute respiratory distress syndrome (ARDS) (95%CI 13.7–51.8), 6.2% (95%CI 3.1–9.3) with shock. Some 13.9% (95%CI 6.2–21.5%) of hospitalized patients had fatal outcomes (case fatality rate, CFR). Conclusion COVID-19 brings a huge burden to healthcare facilities, especially in patients with comorbidities. ICU was required for approximately 20% of polymorbid, COVID-19 infected patients and hospitalization was associated with a CFR of >13%. As this virus spreads globally, countries need to urgently prepare human resources, infrastructure and facilities to treat severe COVID-19.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Determinants of COVID-19 vaccine acceptance in the US

              Background The COVID-19 pandemic continues to adversely affect the U.S., which leads globally in total cases and deaths. As COVID-19 vaccines are under development, public health officials and policymakers need to create strategic vaccine-acceptance messaging to effectively control the pandemic and prevent thousands of additional deaths. Methods Using an online platform, we surveyed the U.S. adult population in May 2020 to understand risk perceptions about the COVID-19 pandemic, acceptance of a COVID-19 vaccine, and trust in sources of information. These factors were compared across basic demographics. Findings Of the 672 participants surveyed, 450 (67%) said they would accept a COVID-19 vaccine if it is recommended for them. Males (72%) compared to females, older adults (≥55 years; 78%) compared to younger adults, Asians (81%) compared to other racial and ethnic groups, and college and/or graduate degree holders (75%) compared to people with less than a college degree were more likely to accept the vaccine. When comparing reported influenza vaccine uptake to reported acceptance of the COVID-19 vaccine: 1) participants who did not complete high school had a very low influenza vaccine uptake (10%), while 60% of the same group said they would accept the COVID-19 vaccine; 2) unemployed participants reported lower influenza uptake and lower COVID-19 vaccine acceptance when compared to those employed or retired; and, 3) Black Americans reported lower influenza vaccine uptake and lower COVID-19 vaccine acceptance than all other racial groups reported in our study. Lastly, we identified geographic differences with Department of Health and Human Services (DHHS) regions 2 (New York) and 5 (Chicago) reporting less than 50 percent COVID-19 vaccine acceptance. Interpretation Although our study found a 67% acceptance of a COVID-19 vaccine, there were noticeable demographic and geographical disparities in vaccine acceptance. Before a COVID-19 vaccine is introduced to the U.S., public health officials and policymakers must prioritize effective COVID-19 vaccine-acceptance messaging for all Americans, especially those who are most vulnerable.
                Bookmark

                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Pathogens and Global Health
                Pathogens and Global Health
                Informa UK Limited
                2047-7724
                2047-7732
                May 19 2022
                December 20 2021
                May 19 2022
                : 116
                : 4
                : 236-243
                Affiliations
                [1 ]Medical Research Unit, School of Medicine, Universitas Syiah Kuala, Banda Aceh, Indonesia
                [2 ]Tabriz Health Services Management Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
                [3 ]Department of Microbiology, School of Medicine, Universitas Syiah Kuala, Banda Aceh, Indonesia
                [4 ]Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala, Banda Aceh, Indonesia
                [5 ]Department of Family Medicine, School of Medicine, Universitas Syiah Kuala, Banda Aceh, Indonesia
                [6 ]Division of Surgery, ICAR-Indian Veterinary Research Institute, Bareilly, India
                [7 ]Department of Abdominal Surgery, Vladimir City Emergency Hospital, Vladimir, Russia
                [8 ]Master Program of Biology, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala, Banda Aceh, Indonesia
                [9 ]Faculty of Medicine and General Surgery, Sudan University of Science and Technology, Sudan
                [10 ]Faculty of Medicine, University of Bahri, Sudan
                [11 ]Omdurman Teaching Hospital, Sudan
                [12 ]Faculty of Medicine, University of Khartoum, Omdurman, Sudan
                [13 ]Faculty of Medicine, Alzaiem Alazhari University, Sudan
                [14 ]Department of Internal Medicine, Faculty of Medicine, Sudan International University, Sudan
                [15 ]Department of Emergency Medicine, Faculty of Medicine of Tunis, University Tunis El Manar, Tunisia
                [16 ]Department of Internal Medicine, Faculty of Medicine of Tunis, University of Tunis El Manar, Tunis, Tunisia
                [17 ]Faculty of Dental medicine, University of Monastir, Tunisia
                [18 ]Faculty of Medicine, Zagazig University, Egypt
                [19 ]Faculty of Medicine, Ain Shams University, Nasr City, Cairo, Egypt
                [20 ]Faculty of Medicine, Alexandria University, Egypt
                [21 ]Faculty of Medicine, Assiut University, Assiut, Egypt
                [22 ]Department of Public Health Dentistry, Indira Gandhi Institute of Dental Sciences, India
                [23 ]Department of General Medicine, Smt. Kashibai Navale Medical College and General Hospital, Pune, India
                [24 ]Division of Veterinary Parasitology, ICAR-Indian Veterinary Research Institute, Bareilly, India
                [25 ]Department of Orthopedic Surgery, Yanan Hospital Affiliated to Kunming Medical University, Kunming, Yunnan, China
                [26 ]Department of Public Health and Postgraduate Program in Applied Health Sciences, Faculty of Medicine, Western Paraná State University, Brazil
                [27 ]Faculty of Medicine, University of La Frontera, Temuco, Chile
                [28 ]Department of Biochemistry, Faculty of Life Sciences, Ahmadu Bello University, Zaria, Nigeria
                [29 ]Babcock University, Ibadan, Nigeria
                [30 ]Afe Babalola University, Ado Ekiti, Nigeria
                [31 ]Covenant University Medical Center, Ota, Nigeria
                [32 ]Department of Medical Laboratory Sciences, Faculty of Health Sciences & Technology University of Nigeria, Nigeria
                [33 ]Research Fellow, Mayo Clinic, Rochester, NY, USA
                [34 ]Iranian Center of Excellence in Health Management, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran
                [35 ]Department of Psychology, University of Sargodha, Sargodha, Pakistan
                [36 ]Department of Internal Medicine, Kabir Medical College, Gandhara University, Peshawar, Pakistan
                [37 ]Department of Public Health and Infectious Disease, Sapienza-University of Rome, Rome, Italy
                [38 ]Department of Pharmacy, Bgc Trust University Bangladesh, Bangladesh
                [39 ]Department of Life Sciences, Faculty of Medicine, Western Paraná State University, Brazil
                [40 ]Social Determinants of Health Research Center, Birjand University of Medical Sciences, Birjand, Iran
                [41 ]Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
                Article
                10.1080/20477724.2021.2011580
                34928187
                11cbdd9a-dff1-4688-9c70-9ed1b73c6548
                © 2022
                History

                Comments

                Comment on this article