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Статті в журналах з теми "Covid-19 – Vaccination"
Herzeel, Ann, Yassine Aikar, Zakaria Bouzid, Nathalie Clement, and Stéphanie Marheux. "Vaccination Covid-19." International Journal of Integrated Care 23, S1 (December 28, 2023): 790. http://dx.doi.org/10.5334/ijic.icic23640.
Повний текст джерелаRista Dwi Lestari, Dina Safira Putri, Dwi Nuning Anggraeny, and Ririn Puspita Tutiasri. "Persepsi Mahasiswa Terhadap Pemberitaan Vaksinasi Covid-19 Pada Media Sosial Instagram." Jurnal ISIP: Jurnal Ilmu Sosial dan Ilmu Politik 18, no. 2 (September 28, 2023): 101–8. http://dx.doi.org/10.36451/jisip.v18i2.58.
Повний текст джерелаLiew, Xin Wei, Zer Han Malcolm Tang, Yan Qing Cherie Ong, and Kay Choong See. "Hearing Loss after COVID-19 and Non-COVID-19 Vaccination: A Systematic Review." Vaccines 11, no. 12 (December 9, 2023): 1834. http://dx.doi.org/10.3390/vaccines11121834.
Повний текст джерелаTeo, Ryan Xuan Wei, Bernard Pui Lam Leung, Bernard Yu-Hor Thong, Justina Wei Lynn Tan, Grace Yin Lai Chan, and Xin Rong Lim. "Development of immediate and chronic spontaneous urticaria following mRNA COVID-19 vaccination: Tolerability of revaccination and immunological study." Annals of the Academy of Medicine, Singapore 53, no. 1 (January 30, 2024): 57–59. http://dx.doi.org/10.47102/annals-acadmedsg.2023249.
Повний текст джерелаGavin, Regina M., Melanie Countryman, Joseph Musco, Rachel Ricard, Amalia Roberts, and Christine Lees. "Reaching Diverse Communities During a Local Public Health COVID-19 Vaccination Response Through a Mobile Clinic Compared to Mass Vaccination Sites." Journal of Public Health Management & Practice 30, no. 3 (April 10, 2024): 411–15. http://dx.doi.org/10.1097/phh.0000000000001905.
Повний текст джерелаWu, Yufei, Huanjie Li, Yangyang Wang, Ping Huang, Yihui Xu, Mingjie Xu, Qianqian Zhao, et al. "Opinion Polls and Antibody Response Dynamics of Vaccination with COVID-19 Booster Vaccines." Vaccines 10, no. 5 (April 20, 2022): 647. http://dx.doi.org/10.3390/vaccines10050647.
Повний текст джерелаOmae, Yuto, Yohei Kakimoto, Makoto Sasaki, Jun Toyotani, Kazuyuki Hara, Yasuhiro Gon, and Hirotaka Takahashi. "SIRVVD model-based verification of the effect of first and second doses of COVID-19/SARS-CoV-2 vaccination in Japan." Mathematical Biosciences and Engineering 19, no. 1 (2021): 1026–40. http://dx.doi.org/10.3934/mbe.2022047.
Повний текст джерелаIman Murahman, Hizir Sofyan, Marthoenis, Said Usman, Irwan Saputra1, Aryandi Darwis, Riski Muhammad, Mohd. Ichsan, and Nurliana. "Determinants of COVID-19 Vaccine Coverage Aceh in 2021." STRADA Jurnal Ilmiah Kesehatan 11, no. 2 (November 30, 2022): 109–16. http://dx.doi.org/10.30994/sjik.v11i2.900.
Повний текст джерелаKusumo, Bambang Ali, Muhamad Mahrus Setia Wijaksana, Fatma Ulfatun Najicha, Ariesty Fujiastuti, and Abdul Kadir Jaelani. "COVID-19 vaccination service." International journal of health sciences 6, no. 1 (January 24, 2022): 50–60. http://dx.doi.org/10.53730/ijhs.v6n1.2954.
Повний текст джерелаDarmayanti, Putu Ayu Ratna, Ni Komang Sri Ariani, and Wulan Tertiana Santhi. "Pencegahan Pengendalian Infeksi Covid-19 dengan Menjadi Vaksinator Covid-19 Pada Masyarakat di Wilayah Kerja Puskesmas II Denpasar Selatan." Jurnal Pelayanan dan Pengabdian Masyarakat (Pamas) 7, no. 3 (August 31, 2023): 217–27. http://dx.doi.org/10.52643/pamas.v7i3.2316.
Повний текст джерелаДисертації з теми "Covid-19 – Vaccination"
Muzek, Dina. "News dissemination on leading media organisations in Croatia: Covid-19 vaccination affair." Thesis, Malmö universitet, Institutionen för konst, kultur och kommunikation (K3), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-45692.
Повний текст джерелаLindholm, Anton. "VACCINE CITIZENSHIP : Covid-19 vaccination in a semi-rural community of Oaxaca, Mexico." Thesis, Stockholms universitet, Socialantropologiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-195134.
Повний текст джерелаІзотова, К. В. "Мас-медіа в системі боротьби з covid-19: проблемно-тематичні орієнтири та особливості висвітлення". Master's thesis, Сумський державний університет, 2021. https://essuir.sumdu.edu.ua/handle/123456789/86932.
Повний текст джерелаFaucher, Benjamin. "Modélisation de la pandémie de COVID-19 pour reconstruire la dissémination du virus et informer la mise en place d’interventions." Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS269.
Повний текст джерелаEmerging pathogens pose significant challenges to public health authorities. In the context of the COVID-19 pandemic, the SARS-COV-2 and the variants of concern followed a similar pattern. A new virus emerged in one country, spread globally, and then triggered a rapid surge in cases worldwide. To deal with this situation, it is critical to monitor the epidemic, decipher incomplete and incoherent data, and rapidly design interventions. Mathematical models can help interpret heterogeneous surveillance data and inform the design of interventions. In this thesis, we addressed both aspects. First, we developed a mathematical framework to understand how surveillance and epidemic drivers concur in shaping observations. We retrospectively reconstructed the international spread of the Alpha variant in the Fall of 2020 from sequencing and air travel data. In a second work, we focused on intervention. We proposed an agent-based model to quantify the epidemiological impact of a reactive vaccination strategy targeting workplaces and schools where cases are detected. We tested the effectiveness of this strategy to mitigate a general rise in cases and to limit the spread of a new variant
Mezones-Holguin, Edward, Ali Al-kassab-Córdova, Jorge L. Maguiña, and Alfonso J. Rodriguez-Morales. "Vaccination coverage and preventable diseases in Peru: Reflections on the first diphtheria case in two decades during the midst of COVID-19 pandemic." Elsevier Inc, 2021. http://hdl.handle.net/10757/655819.
Повний текст джерелаMarot, Stéphane. "Étude de la réponse humorale lors de l'infection par le SARS-CoV-2." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS722.
Повний текст джерелаAt the beginning of the COVID-19 pandemic, we had limited data on the specific humoral response against SARS-CoV-2, only derived from knowledge of closely related human coronaviruses. The aim of this work was to describe the kinetics of the humoral response and its neutralizing activity following SARS-CoV-2 infection or COVID-19 vaccination. In our first study, we described the kinetics of different isotypes of antibodies directed against different viral antigens in healthcare workers who had experienced mild COVID-19. We observed an early decline in serum neutralizing antibodies (NAbs) after infection, primarily associated with the decrease in serum IgA levels, despite an increase in the neutralization capacity of IgG over time. In our second study, we described the escape of SARS-CoV-2 variants from NAbs, with escape profiles depending on the variant and the type of antibodies elicited (post-infection or post-vaccination). In our latest study, we evaluated surrogate tests for the assessment of NAbs, against different variants of SARS-CoV-2 and various immunological history patterns. We showed a good test performance by adjusting the thresholds based on the specific SARS-CoV-2 variant considered. We also found a significant escape of the Omicron variant from NAbs and showed that NAb titers were highest in individuals with a history of COVID-19 who had received a vaccine dose. Several studies have confirmed that NAbs are good correlates of immune protection against SARS-CoV-2 infection. However, the rapid decline of these antibodies in the natural course of infection or vaccination, coupled with the circulation of variants, as well as individual variability in the immune response, highlight the importance of studying NAbs to continuously reassess correlates of protection in the context of evolving epidemiological situations
Hussein, Aida. "Inställning till vaccination mot covid- 19 i Rinkeby och Tensta, Sverige : Om vaccinationsvilja och tveksamhet i ett socioekonomiskt utsatt område i Sverige." Thesis, Högskolan i Skövde, Institutionen för hälsovetenskaper, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-20031.
Повний текст джерелаIntroduction: Vaccine hesitancy is a phenomenon that is important to study when the fight against covid-19 and other diseases is dependent on the population being vaccinated. Rinkeby-Tensta previously had low vaccination coverage due to concerns about side effects. The aim is to measure the attitude toward vaccination against covid -19 in Rinkeby-Tensta Method: A cross-sectional study was performed with convenience sample. Results: Results show that 72 respondents answered the survey, of which 78 percent of the respondents answered that they either do not want or do not know if they want to get vaccinated. Discussion: Level of education is not associated with willingness to get vaccinated. To postpone vaccinations is perceived as a benefit. Concerns about the side effects of vaccine is a factor in the vaccination decision.
Ganser, Iris. "Utilisation des modèles mathématiques face à la COVID-19 : analyse des effets des interventions en santé publique et de la dynamique immunitaire." Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0351.
Повний текст джерелаThe COVID-19 pandemic, caused by the SARS-CoV-2 virus, has led to significant morbidity and mortality, straining healthcare systems worldwide. Fundamental approaches for controlling viral spread and mitigating its impact are vaccinations and non-pharmaceutical interventions (NPIs). Before vaccines became available, governments relied on NPIs with largely unknown epidemiological and societal impacts. Despite numerous studies, the effectiveness of NPIs on COVID-19 dynamics remained uncertain, especially over multiple pandemic waves. With a gradual roll-out of vaccines, population immunity increased, but this increase in was counteracted by the emergence of immune-escaping variants of concern (VoCs) and waning of both infection- and vaccine-induced immunity. The long-term dynamics of this decline are currently not well characterized, particularly in the context of multiple infections and infections with different VoCs. Given the only partially observed nature of epidemics and their non-linear dynamics, mathematical models are uniquely suited for their analysis. In my thesis, I applied mathematical models to various COVID-19 data, from aggregated population-level data of infections and hospitalizations to antibody (Ab) titers in individuals, with the goal of quantifying the effectiveness of NPIs and vaccines, identifying protective Ab thresholds, and characterizing immunity waning dynamics. Specifically, my first objective was to estimate the effectiveness of NPIs and vaccines in France and explore counterfactual NPI and vaccine implementation scenarios. We developed a population-based mechanistic model, which we fit to epidemiological data in France from March 2020 to October 2021. The model showed a significant reduction in viral transmission by lockdowns, school closures, and curfews, though their effectiveness decreased over time. Simulations demonstrated that vaccines had saved nearly 160k lives over the study period, but an earlier implementation or a faster rollout could have prevented even more deaths. To understand why NPI effectiveness estimates vary across studies, we evaluated two methodologies in my second objective: mechanistic models and a commonly used two-step regression approach. The latter first estimates the reproductive number (Rt) and then regresses it against NPI parameters. Using simulated data of varying complexity, mechanistic models consistently showed minimal bias (0-5%) and high confidence interval (CI) coverage, whereas the two-step regressions had biases up to 20% and much lower CI coverage. The bias stemmed from the depletion of susceptibles and challenges in estimating Rt, indicating that caution is warranted with this method despite its simplicity and speed. Accurate epidemiological models require up-to-date parameters. My third objective was therefore two-fold: 1) to relate SARS-CoV-2 specific Ab levels to the risk of infection and 2) to characterize antibody waning. Using Ab data from over 220k Canadian blood donors between April 2020 and December 2023, we found that both anti-S and anti-N Abs reduced infection risk, with anti-N showing a stronger effect at lower titers. We used biphasic decay models to characterize waning dynamics and estimated that that 51.3% (95% CI 40.6-66.1%) of individuals would drop below detectable anti-N Ab levels within three years after a single infection. The duration of Ab detection increased after subsequent infections. However, antibodies waned within months below thresholds needed to attain substantial protection, even after multiple infections and vaccinations, indicating that continuous vaccine booster doses might be needed to sustain protection. The analyses I conducted in my PhD research highlight the importance of timely interventions and continuous monitoring of immunity to better prepare for future outbreaks. Moreover, I illustrated that mathematical models are a powerful tool to inform public health decision making and strategies
Aldén, Emma, and Caroline Bjurhamn. "Massvaccineringens effekter på rekommenderade beteenden : En fältstudie som undersöker benägenheten att följa Folkhälsomyndighetens rekommendationer före respektive efter vaccinering mot covid-19." Thesis, Linköpings universitet, Nationalekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176317.
Повний текст джерелаStudien ämnar undersöka om inställningen till Folkhälsomyndighetens rekommendationer och uppskattningen av pandemirekommendationernas varaktighet skiljer sig åt före respektive efter vaccination mot covid-19. Deltagarna medverkade i studien genom att svara på ett frågeformulär.En massvaccinering är en sällsynt förekomst och få empiriska studier har genomförts. En risk vidgenomförandet av en massvaccinering är att den kan resultera i en för tidigt avslappnad inställning till rekommendationerna, vilket kan leda till en ökad smittspridning i samhället. Resultatet visade inte på några skillnader i inställningen till rekommendationerna mellan de två grupperna, dock fanns det tendenser till skillnader angående uppskattningen av pandemirekommendationernasvaraktighet. Således, utifrån studiens resultat, påvisades inte någon stor effekt av en avslappnad inställning efter en massvaccinering men det går inte att utesluta mindre effekter. Studiens resultatstyrker inte att strängare rekommendationer bör införas i en vaccinationsfas för att motverka en avslappnad inställning.
Johansson, Tobias, and Tobias Jonsson. "Risk, tillit och vaccinering -En kvalitativ studie om unga vuxnas resonemang kring vaccinationen av Covid-19 i en svensk kontext." Thesis, Örebro universitet, Institutionen för humaniora, utbildnings- och samhällsvetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-92441.
Повний текст джерелаDet första fallet av Covid-19 bekräftades i Sverige i slutet på januari 2020. Vid studiens genomförande har samhället påbörjat vaccineringen mot viruset. Även om majoriteten av befolkningen verkar positivt inställda till vaccinet återstår frågan om vilka faktorer som påverkar detta. Syftet med denna studie är att skapa en förståelse för hur unga vuxna i Sverige resonerar kring Covid-19 viruset och vaccinationen mot det. Syftet besvaras med följande frågeställningar, hur resonerar unga vuxna i Sverige kring risker med Covid-19 viruset och vaccinationen mot det och hur formas unga vuxna i Sveriges resonemang kring vaccinering av den naturliga inställningen och deras förhållningssätt till expertsystem. Tidigare forskning visar att risk och tillit till expertsystem kan vara påverkande faktorer på individers vaccinationsbenägenhet, åtminstone när det gäller barnvaccin eller tidigare influensavaccinationer. Tidigare kvantitativ forskning har även visat på skillnader i vaccinationsbenägenhet mellan åldersgrupper, där unga vuxna var mest troliga att vara negativt inställda. Denna kvalitativa intervjustudie med individer i åldersgruppen unga vuxna visar hur risk och tillit till expertsystem kan influera deras resonemang kring Covid-19 viruset och vaccineringen mot det samt hur deras naturliga inställning kan påverkas av pandemin. Resultatet av studien visar att respondenterna tenderar att se allvarligare på risker med Covid-19 gentemot andra än sig själva, något som kan vara en bidragande faktor till den åldersgruppens inställning till vaccinering. Studien visar även att en hög tillit till expertsystem möjliggör ett positivt resonemang kring vaccineringen och att den naturliga inställningen i pandemins samhälle är förändrad hos respondenterna.
Книги з теми "Covid-19 – Vaccination"
Rossouw, Stephanie, and Talita Greyling. Resistance to COVID-19 Vaccination. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-56529-8.
Повний текст джерелаMuyambo, Tenson, Fortune Sibanda, and Ezra Chitando. Religion and COVID-19 Vaccination in Zimbabwe. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003388630.
Повний текст джерелаAkhtar, Rais, ed. Coronavirus (COVID-19) Outbreaks, Vaccination, Politics and Society. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09432-3.
Повний текст джерелаLópez, Juana Yucra. Percepciones y expectativas sobre las vacunas contra el COVID-19 de los pobladores de Poopó. Poopó-Oruro, Bolivia: Universidad Nacional Siglo XX, Carrera de Enfermería, Extensión Poopó, 2021.
Знайти повний текст джерелаinterviewee, Inoue Masayasu interviewer, ed. Korona to wakuchin no zenbō. Tōkyō: Kabushiki Kaisha Shōgakkan, 2021.
Знайти повний текст джерелаSee, Kay Choong, ed. Impact of COVID-19 and Non-COVID-19 Vaccination in Special Populations. MDPI, 2024. https://doi.org/10.3390/books978-3-7258-2645-2.
Повний текст джерелаPutting Equity First in COVID-19 Vaccination. RAND Corporation, 2022. http://dx.doi.org/10.7249/rba1627-2.
Повний текст джерелаЧастини книг з теми "Covid-19 – Vaccination"
Ghosh, Sadhan Kumar, Anjan Adhikari, Anirudhha Mukhopadhyay, Samprikta Bose, and Komal Sharma. "COVID-19 Vaccination in India." In Health Care Waste Management and COVID 19 Pandemic, 255–78. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9336-6_12.
Повний текст джерелаDujmović, Jozo, and Daniel Tomasevich. "COVID-19 Vaccination Priority Evaluation." In Explainable AI and Other Applications of Fuzzy Techniques, 101–15. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82099-2_10.
Повний текст джерелаOster, Yonatan. "COVID-19 Pandemic and Vaccination." In Hot Topics in Human Reproduction, 17–23. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-24903-7_2.
Повний текст джерелаNyatsanza, Tarsisio M. "COVID-19 Vaccination in Zimbabwe." In Religion and COVID-19 Vaccination in Zimbabwe, 126–39. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003388630-9.
Повний текст джерелаSande, Nomatter, and Silas Nyadzo. "‘Disconcerting Vaccination Voices'." In Religion and COVID-19 Vaccination in Zimbabwe, 155–67. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003388630-11.
Повний текст джерелаNeto, Felippe Lazar, Adrian Ceccato, and Otavio T. Ranzani. "Vaccination against COVID-19 in a post-pandemic era." In COVID-19: An Update, 79–103. Sheffield, United Kingdom: European Respiratory Society, 2024. http://dx.doi.org/10.1183/2312508x.10020223.
Повний текст джерелаJaspal, Rusi, and Glynis M. Breakwell. "The Significance of Ethnicity in Vaccination Uptake." In COVID-19: Surviving a Pandemic, 134–54. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003302698-11.
Повний текст джерелаAgamutu, Kavitha, and P. Agamuthu. "Vaccination for the COVID-19 Pandemic." In Health Care Waste Management and COVID 19 Pandemic, 279–89. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9336-6_13.
Повний текст джерелаChireshe, Excellent, and Mavis Thokozile Macheka. "Vaccination Uptake and Power Dynamics." In Religion and COVID-19 Vaccination in Zimbabwe, 168–87. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003388630-12.
Повний текст джерелаAlexandre Huang, Zhao, and Rudong Zhang. "Understanding China's “intermestic” online vaccination-themed narrative strategy." In COVID-19, Communication and Culture, 52–75. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003276517-6.
Повний текст джерелаТези доповідей конференцій з теми "Covid-19 – Vaccination"
Upadhyay, Siddhartha, Soudeep Chowdhury, Krishanu Nath, and Manas Kumar Bera. "SVAIR: An Approach to Model COVID-19 with Vaccination." In 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT), 1177–82. IEEE, 2024. http://dx.doi.org/10.1109/codit62066.2024.10708109.
Повний текст джерела"Was there a difference in the COVID-19 symptoms among Ghor Elsafi population either before or after receiving the COVID-19 vaccines?" In International Conference on Public Health and Humanitarian Action. International Federation of Medical Students' Associations - Jordan, 2022. http://dx.doi.org/10.56950/pzez3624.
Повний текст джерелаSaraswat, Avani, and Tejal Varekar. "Analyzing the Effectiveness of Vaccination as a Preventive Measure in Combating COVID-19 and Recommendations for Future Health Emergencies in India." In 4th International Conference on Public Health and Well-being. iConferences (Pvt) Ltd, 2023. http://dx.doi.org/10.32789/publichealth.2022.1003.
Повний текст джерелаGomez, D. Vazquez, M. Marques Cami, F. Vilardell Villellas, N. Zaragoza Velasco, I. Miguel Salas, D. C. Bayas Pástor, I. Pascual, L. Verges Aleix, F. González-Huix Lladó, and M. Planella De Rubinat. "COVID-19 vaccination-related intestinal ischaemia." In ESGE Days 2023. Georg Thieme Verlag KG, 2023. http://dx.doi.org/10.1055/s-0043-1765105.
Повний текст джерелаHoerner, R., and R. M. Abdallah. "Hyperimmune Response to COVID-19 Vaccination." In American Thoracic Society 2023 International Conference, May 19-24, 2023 - Washington, DC. American Thoracic Society, 2023. http://dx.doi.org/10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a3379.
Повний текст джерелаJouyandeh, Farzaneh, Sarvnaz Sadeghi, Bahareh Rahmatikargar, and Pooya Moradian Zadeh. "Fake news and COVID-19 vaccination." In ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3487351.3490960.
Повний текст джерелаStošić, Maja, and Marko Veljković. "COVID-19 vaccination among tuberculosis patients in Serbia, 2022." In Proceedings of the International Congress Public Health - Achievements and Challenges, 181. Institute of Public Health of Serbia "Dr Milan Jovanović Batut", 2024. http://dx.doi.org/10.5937/batutphco24133s.
Повний текст джерелаZhao, Junyu, and Calvin Or. "An examination of factors beyond the 5C Model in COVID-19 Vaccine Uptake Decisions." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003480.
Повний текст джерелаMatīse-Van Houtana, Ilze. "Attitudes and Opinions of Veterinary Professionals About Covid-19 Infection and Vaccination Against It." In International scientific conference of the University of Latvia. University of Latvia Press, 2023. http://dx.doi.org/10.22364/ms22.09.
Повний текст джерелаPiddubnyi, Danylo. "IMPACT OF COVID-19 VACCINATION ON PREGNANCY." In THEORETICAL AND PRACTICAL ASPECTS OF MODERN SCIENTIFIC RESEARCH, chair Nataliia Malyk. European Scientific Platform, 2023. http://dx.doi.org/10.36074/logos-24.11.2023.77.
Повний текст джерелаЗвіти організацій з теми "Covid-19 – Vaccination"
Els, Fiona, Yashena Naidoo, and Gillian Maree. COVID-19 vaccination in Gauteng. Gauteng City-Region Observatory, September 2024. http://dx.doi.org/10.36634/wklx7211.
Повний текст джерелаRotenberg, Sara, Matthew B. Downer, Hilary Brown, Jane Cooper, Sabrina Campanella, Yousef Safar, Gabrielle M. Katz, et al. COVID-19 Vaccination for People with Disabilities. Ontario COVID-19 Science Advisory Table, June 2021. http://dx.doi.org/10.47326/ocsat.2021.02.35.1.0.
Повний текст джерелаKaraivanov, Alexander, Dongwoo Kim, Shih En Lu, and Hitoshi Shigeoka. COVID-19 Vaccination Mandates and Vaccine Uptake. Cambridge, MA: National Bureau of Economic Research, December 2021. http://dx.doi.org/10.3386/w29563.
Повний текст джерелаKruger, Philip, Michael Hazen, Sara Pasqualoni, and Laurie Monfiletto. REQUEST FOR MEDICAL EXEMPTION FROM COVID-19 VACCINATION. Office of Scientific and Technical Information (OSTI), September 2021. http://dx.doi.org/10.2172/1821337.
Повний текст джерелаChen, Cheng-Che, and Chung-Jen Chen. New-Onset Inflammatory Arthritis After Covid-19 Vaccination. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, July 2022. http://dx.doi.org/10.37766/inplasy2022.7.0128.
Повний текст джерелаManski, Charles. Vaccination Planning under Uncertainty, with Application to Covid-19. Cambridge, MA: National Bureau of Economic Research, February 2021. http://dx.doi.org/10.3386/w28446.
Повний текст джерелаVagnoni, Cristiana. The future of COVID-19 vaccines. Parliamentary Office of Science and Technology, March 2022. http://dx.doi.org/10.58248/rr79.
Повний текст джерелаLally, Clare. Immunity to Covid-19: March 2023 update. Parliamentary Office of Science and Technology, February 2023. http://dx.doi.org/10.58248/rr08.
Повний текст джерелаDufour-Simard, Xavier, and Pierre-Carl Michaud. COVID-19 Risk (Mis)Perceptions. CIRANO, December 2024. https://doi.org/10.54932/uefw8578.
Повний текст джерелаMishra, Sharmistha, Nathan M. Stall, Huiting Ma, Ayodele Odutayo, Jeffrey C. Kwong, Upton Allen, Kevin A. Brown, et al. A Vaccination Strategy for Ontario COVID-19 Hotspots and Essential Workers. Ontario COVID-19 Science Advisory Table, April 2021. http://dx.doi.org/10.47326/ocsat.2021.02.26.1.0.
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