Vaccine Dissemination Research Articles

Fear of COVID-19 after Vaccination Dissemination and Its Relationship with Multidimensional Health Literacy among Patients on Maintenance Hemodialysis

Fear of COVID-19 after Vaccination Dissemination and Its Relationship with Multidimensional Health Literacy among Patients on Maintenance Hemodialysis

Understanding herpes zoster vaccine hesitancy and information asymmetry: a qualitative study in China.

Herpes zoster is more prevalent among the older adult due to the age-related immune decline, leading to significant pain and complications. Although vaccination effectively prevents viral infections, vaccine hesitancy remains a major barrier to achieving high vaccination rates.To address this, we conducted a qualitative survey using Vaccine Hesitancy Determinants Matrix and 5C model to understand and improve vaccination rates in this group. Descriptive qualitative research design based on the philosophical underpinnings of naturalistic inquiry and purposive sampling methodology was conducted on adults aged 50 and above, as well as community health workers. Data were collected through semi-structured, in-depth personal interviews. The interview outline was constructed following a comprehensive review of the literature and consideration of the theoretical framework. Seventeen adults over 50 years and four community healthcare workers were included in this study. The study found that information asymmetry in immunization planning was evident at all stages of vaccine supply, dissemination and demand. The main manifestations included limited access to authoritative information, insufficient community awareness of herpes zoster as a route of vaccination, insufficient vocational training, significant gaps in vaccine knowledge, and high levels of complacency among individual residents. Herpes zoster vaccine hesitancy is prevalent among middle-aged and older adults in China due to information asymmetry, vaccine complacency, inadequate community services, and other multiple layers of factors. Public health strategies should aim to reduce cognitive biases and information gaps by disseminating diverse and credible vaccine information through social media, medical institutions, and offline channels to promote higher vaccination rates.

Application of machine learning with large-scale data for an effective vaccination against classical swine fever for wild boar in Japan

Classical swine fever has been spreading across the country since its re-emergence in Japan in 2018. Gifu Prefecture has been working diligently to control the disease through the oral vaccine dissemination targeting wild boars. Although vaccines were sprayed at 14,000 locations between 2019 and 2020, vaccine ingestion by wild boars was only confirmed at 30% of the locations. Here, we predicted the vaccine ingestion rate at each point by Random Forest modeling based on vaccine dissemination data and created prediction surfaces for the probability of vaccine ingestion by wild boar using spatial interpolation techniques. Consequently, the distance from the vaccination point to the water source was the most important variable, followed by elevation, season, road density, and slope. The area under the curve, model accuracy, sensitivity, and specificity for model evaluation were 0.760, 0.678, 0.661, and 0.685, respectively. Areas with high probability of wild boar vaccination were predicted in northern, eastern, and western part of Gifu. Leave-One-Out Cross Validation results showed that Kriging approach was more accurate than the Inverse distance weighting method. We emphasize that effective vaccination strategies based on epidemiological data are essential for disease control and that our proposed tool is also applicable for other wildlife diseases.

Exploring the impact of COVID-19 Pandemic and Vaccine Dissemination on Airbnb's Popularity and Sentiment on Twitter

Exploring the impact of COVID-19 Pandemic and Vaccine Dissemination on Airbnb's Popularity and Sentiment on Twitter

美国新冠疫苗推广的实践及启示

The global outbreak of the COVID-19 pandemic stands as one of the most significant health events of the 21st century, presenting substantial challenges worldwide and profoundly impacting socio-economic dynamics. The development and dissemination of vaccines have emerged as critical strategies for pandemic control. As the COVID-19 pandemic swept across the globe, it also affected all 50 states within the United States.Utilizing the United States as a case study for COVID-19 vaccine distribution practices, this study undertakes a comprehensive review and analysis of the experiences and insights gained from promoting COVID-19 vaccines within the U.S. context. Expanding on this groundwork and considering the current state of international public health and specific concerns, the paper contends that effective promotion of COVID-19 vaccines requires reinforced international cooperation, exchange of experiences, and fostering collaborative research endeavors. Confronting global pandemic challenges collectively has become an increasingly urgent imperative, offering the potential to bolster a more resilient global public health framework and facilitate sustainable social and economic progress.

The impact of geo-political socio-economic factors on vaccine dissemination trends: a case-study on COVID-19 vaccination strategies

BackgroundThe world in recent years has seen a pandemic of global scale. To counter the widespread loss of life and severe repercussions, researchers developed vaccinations at a fast pace to immunize the population. While the vaccines were developed and tested through extensive human trials, historically vaccines have been known to evoke mixed sentiments among the generic demographics. In the proposed study, we aim to reveal the impact of political and socio-economic factors on SARS-Cov-2 vaccination trends observed in two hundred and seventeen countries spread across the six continents.MethodsThe study had hypothesized that the citizens who have lower trust in their government would be less inclined towards vaccination programs. To test this hypothesis, vaccination trends of nations under authoritarian rule were compared against democratic nations. Further, the study was synthesized with Cov-2 vaccination data which was sourced from Our World Data repository, which was sampled among 217 countries spread across the 6 continents. The study was analyzed with exploratory data analysis and proposed with relevance and impacting factor that was considered for vaccine dissemination in comparison with the literacy rate of the nations. Another impacting factor the study focused on for the vaccination dissemination trends was the health expenses of different nations. The study has been synthesized on political and socio-economic factors where the features were ardently study in retrospect of varied socio- economic features which may include country wise literacy rate, overall GDP rate, further we substantiated the work to address the political factors which are discussed as the country status of democratic or having other status.ResultsThe comparison of trends showed that dissemination of SARS-Cov-2 vaccines had been comparable between the two-opposing types of governance. The major impact factor behind the wide acceptance of the SARS-Cov-2 vaccine was the expenditure done by a country on healthcare. These nations used a large number of vaccines to administer to their population and the trends showed positive growth. The overall percentage of vaccine utilized by countries in quantitative terms are Pfizer/BioNTech (17.55%), Sputnik V (7.08%), Sinovac (6.98%), Sinopharm/Beijing (10.04%), Oxford/AstraZeneca (19.56%), CanSino (2.85%), Moderna (12.05%), Covaxin (3.28%), JohnsonandJohnson (10.89%), Sputnik Light (3.07%), Novavax (3.49%). While the nations with the lowest healthcare expenses failed to keep up with the demand and depended on vaccines donated by other countries to protect their population.ConclusionsThe analysis revealed strong indicators that the nations which spend more on healthcare were the ones that had the best SARS-Cov-2 vaccination rollout. To further support decision-making in the future, countries should address the trust and sentiment of their citizens towards vaccination. For this, expenses need to be made to develop and promote vaccines and project them as positive health tools.

Epidemic Vulnerability Index for Effective Vaccine Distribution Against Pandemic.

COVID-19 vaccine distribution route directly impacts the community's mortality and infection rate. Therefore, optimal vaccination dissemination would appreciably lower the death and infection rates. This paper proposes the Epidemic Vulnerability Index (EVI) that quantitatively evaluates the subject's potential risk. Our primary aim for the suggested index is to diminish both infection rate and death rate efficiently. EVI was accordingly designed with clinical factors determining the mortality and social factors incorporating the infection rate. Through statistical COVID-19 patient dataset analysis and social network analysis with an agent-based model that is analogous to a real-world system, we define and experimentally validate the capability of EVI. Our experiments consist of nine vaccination distribution scenarios, including existing indexes which estimate the risk and stochastically proliferate the contagion and vaccine in a 300,000 agent-based graph network. We compared the outcome and variation of the three metrics in the experiments: infection case, death case, and death rate. Through this assessment, vaccination by the descending order of EVI has shown to have a significant outcome with an average of 5.0% lower infection cases, 9.4% lower death cases, and 3.5% lower death rate than other vaccine distribution routes.

Self-reported COVID-19 symptoms and perceived likelihood of suicide attempt among Latinx individuals who experience acculturative stress

The impact of COVID-19 has led to a substantial economic and psychosocial burden on the Latinx population. However, few studies have evaluated how COVID-19 symptoms may exacerbate suicide risk indicators among Latinx persons, or the particular social determinants of health facilitating such detrimental effects. The present study examined the association between self-reported COVID-19 symptoms and suicide likelihood (i.e., self-reported perceived likelihood that one will attempt suicide in the future) among Latinx individuals within a timeframe involving high COVID-19 contagion before the onset of vaccine dissemination. Further, the possible moderating role of acculturative stress in the association between COVID-19 symptoms and suicide likelihood was examined. The sample included 200 Latinx participants (67.5% male, Mage = 34.67 years, SD = 9.15) who completed self-report measures on COVID-19 symptoms, suicide likelihood, acculturative stress, depressive symptoms, trauma symptoms, somatic symptoms, and general COVID-19 emotional impact. Findings indicated that self-reported COVID-19 symptoms were positively associated with suicide likelihood. Further, the association between COVID-19 symptoms and suicide likelihood was moderated by acculturative stress, such that the association was only statistically significant at mean or higher levels of acculturative stress but was not significant among participants with lower acculturative stress. The moderation effect was statistically significant after controlling for sociodemographic factors, depressive symptoms, trauma symptoms, somatic symptoms, and the general emotional impact of the COVID-19 pandemic. The current findings indicate that, among Latinx individuals, acculturative stress is a key social determinant of health for marked psychological distress in the context of the COVID-19 pandemic.

Operation Remote Immunity: exploring the impact of a service-learning elective in remote Indigenous communities

BackgroundThe novel coronavirus, COVID-19, emerged in December 2019. Shortly after, vaccines against the virus were distributed in Canada for public use, but the remoteness of many northern Indigenous communities in Ontario posed a challenge for vaccine distribution and dissemination. The Ministry of Health partnered with the Northern Ontario School of Medicine University (NOSMU) and the air ambulance service, Ornge, to assist in delivering the vaccination doses to 31 fly-in communities in the Nishnawbe Aski Nation and Moosonee, all within Ontario. These deployments were considered “service-learning electives” for Undergraduate and Postgraduate medical learners from NOSMU who joined the operation in two-week deployments. NOSMU is renowned for its social accountability mandate and gives its medical learners opportunities to participate in service-learning to enhance their medical skills and cultural sensitivity. The purpose of this study is to examine the relationship between social accountability and medical learners’ experiences during a service-learning elective in northern Indigenous communities in Ontario during the COVID-19 pandemic.MethodsData were collected through a planned post-placement activity completed by eighteen Undergraduate and Postgraduate medical learners, who participated in the vaccine deployment. The activity consisted of a 500-word reflective response passage. Thematic analysis was used to identify, analyze, and report the themes within the collected data.ResultsTwo themes were identified by the authors, which formed a concise overview of the collected data: (1) confronting the realities of working in Indigenous communities; and (2) service-learning as a path to social accountability.ConclusionsThese vaccine deployments were an opportunity for medical learners to engage in service-learning and engage with Indigenous communities in Northern Ontario. Service-learning is an exceptional method which provides an opportunity to expand knowledge on the social determinants of health, social justice, and social accountability. The medical learners in this study reiterated the idea that learning medicine through a service-learning model leads to a greater depth of knowledge on Indigenous health and culture, and enhances medical knowledge compared to classroom learning.

Recent Developments and Future Perspectives of Vaccines and Therapeutic Agents against SARS-CoV2 Using the BCOV_S1_CTD of the S Protein.

Since the onset of the coronavirus disease 2019 (COVID-19) pandemic, the virus kept developing and mutating into different variants over time, which also gained increased transmissibility and spread in populations at a higher pace, culminating in successive waves of COVID-19 cases. The scientific community has developed vaccines and antiviral agents against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease. Realizing that growing SARS-CoV-2 variations significantly impact the efficacy of antiviral therapies and vaccines, we summarize the appearance and attributes of SARS-CoV-2 variants for future perspectives in drug design, providing up-to-date insights for developing therapeutic agents targeting the variants. The Omicron variant is among the most mutated form; its strong transmissibility and immune resistance capacity have prompted international worry. Most mutation sites currently being studied are in the BCOV_S1_CTD of the S protein. Despite this, several hurdles remain, such as developing vaccination and pharmacological treatment efficacies for emerging mutants of SARS-CoV-2 strains. In this review, we present an updated viewpoint on the current issues faced by the emergence of various SARS-CoV-2 variants. Furthermore, we discuss the clinical studies conducted to assist the development and dissemination of vaccines, small molecule therapeutics, and therapeutic antibodies having broad-spectrum action against SARS-CoV-2 strains.

Sources of bias in observational studies of covid-19 vaccine effectiveness.

Sources of bias in observational studies of covid-19 vaccine effectiveness.

Politics of COVID-19 vaccination in Japan: how governing incumbents’ representation affected regional rollout variation

BackgroundDespite initial delay, Japan’s COVID-19 vaccination accelerated remarkably from May to September 2021 under the leadership of Prime Minister Yoshihide Suga. His “campaign” for vaccination, however, did not yield uniform results nationwide.MethodsTo highlight political determinants for the regional variation, we employ ordinary least squares regression analyses to investigate how the share/presence of incumbent politicians belonging to the governing parties, the Liberal Democratic Party and Komei Party, influenced the varying progress of rollouts across prefectures as well as across cities/towns/villages. The data on the vaccination rate for all 47 prefectures was obtained from Government Chief Information Officer (CIO)’s Portal, Japan (GCPJ) approximately one month prior to the anticipated general election, the national election for the more important House of Representatives of Japan’s bicameral parliament (Diet). The data for lower administrative units, though its availability was limited to only three prefectures, was obtained from the respective governments of Kagawa and Ehime and from a local newspaper in Gifu.ResultsThe findings reveal that at both prefectural and sub-prefectural administrative levels, the share/presence of the governing parties’ representation in the national parliament had a positive and statistically significant effect on the region’s vaccination progress, after controlling for the local proliferation of COVID-19 and demographic characteristics.ConclusionOur findings contribute insights into the understudied area of the contemporary COVID-19 health environment, namely how the political dynamics of democracy affect the pattern of vaccine dissemination in Japan.Trial registration: Not applicable.

Development of an Effective Oral Vaccine Dissemination Strategy against Classical Swine Fever for Wild Boar in Gifu Prefecture, Japan

In September 2018, classical swine fever (CSF) reemerged in Japan after more than a quarter of a century. After the first notification on a pig farm, wild boars positive for CSF were found continuously in the surrounding area. Gifu was the first prefecture in Japan to disseminate oral vaccines to wild boars in March 2019, with vaccines spread to approximately 14,000 sites between 2019 and 2020. While these diligent measures seemed to have shown some effectiveness, several vaccine spray sites remained without wild boar emergence. Based on the vaccine dissemination records from these periods, this study conducted a statistical analysis to propose more effective vaccine dissemination sites. First, a generalized linear mixed model was used to identify factors correlated with wild boar emergence. Then, two spatial interpolation methods, inverse distance weighted (IDW) and Kriging, were adopted to create a probability map of wild boar emergence for the entire Gifu Prefecture. The analysis showed a positive correlation between wild boar emergence and the appearance of raccoons, raccoon dogs, and crows as well as road density and wild boar distribution index. In particular, raccoon (OR: 1.83, 95%CI: 1.25–2.68, p < 0.001), raccoon dog (OR: 1.81, 95%CI: 1.25–2.66, p < 0.001), and medium level road density (OR: 1.56, 95%CI: 1.04–2.39, p = 0.04) were strongly correlated with wild boar emergence. The spatial interpolation approach resulted in better prediction accuracy for the Kriging method than for IDW by the root mean square error, but both approaches identified a high wild boar appearance probability area in southeastern Gifu and a low appearance probability area in central Gifu. Here we have demonstrated a tool to effectively disperse oral vaccine to wildlife.

Vaccine properties of Brucella melitensis 16MΔwzm and reactivation of placental infection in pregnant sheep.

Brucellosis, a worldwide zoonotic disease, is endemic in many developing countries. Besides causing significant economic losses for the livestock industry, it has severe consequences for human health. In endemic regions, small ruminants infected by Brucella melitensis are the main source of human brucellosis. Rev1, the only vaccine currently recommended to control the disease in sheep and goats, has several drawbacks. Rough lipopolysaccharide (R-LPS) mutants have been tested as alternatives, but most lack efficacy. Those in the Wzm/Wzt system responsible for O-polysaccharide export to the periplasm have been proposed as promising vaccine candidates, although to date they have been scarcely investigated in the natural host. In the present work, we studied the biological properties of a 16MΔwzm in-frame deletion mutant, including its safety in pregnant mice and sheep. In mice, 16MΔwzm prevented placental and fetal infections before parturition and protected against B. melitensis and Brucella ovis infections. In sheep, 16MΔwzm was equally safe in lambs, rams, and non-pregnant ewes, inducing some transient Rose Bengal reactions (<7 weeks). The serological reactions occurred earlier and more strongly in pregnant than in non-pregnant ewes and were significantly reduced when conjunctival rather than subcutaneous vaccination was used. In ewes vaccinated at mid-pregnancy, 16MΔwzm was not shed in vaginal discharges during the pregnancy and did not induce abortions/stillbirths. However, some ewes showed a transitory reactivation of infection in placentas and/or milk at parturition, accompanied by a seroconversion in smooth LPS (S-LPS) and/or R-LPS tests. Overall, 16MΔwzm can be considered as a safe vaccine for lambs, rams, and non-pregnant ewes, but its use at mid-pregnancy should be avoided to prevent vaccine dissemination at parturition. If the efficacy results against B. melitensis and B. ovis observed in mice are confirmed by further studies in the natural host, 16MΔwzm could constitute a useful vaccine.

How was the coronavirus vaccine accepted on Twitter? A computational analysis using big data in Japan

Purpose This study aims to reveal how the COVID-19 vaccine was accepted in the Japanese Twitter-sphere. This study explores how the topics related to the vaccine promotion project changed on Twitter and how the topics that were likely to spread changed during the vaccine promotion project. Design/methodology/approach The computational social science methodology was adopted. This study collected all tweets containing the word “vaccine” using the Twitter API from March to October 2021 and conducted the following analysis: analyzing frequent words and identifying topics likely to spread through the cosine similarity and Tobit model. Findings First, vaccine hesitancy–related words were frequently mentioned during the vaccine introduction and dissemination periods and had diffusing power only during the former period. Second, vaccine administration–related words were frequently mentioned and diffused through April to May and had diffusing power throughout the period. The background to these findings is that the sentiment of longing for vaccines outweighed that of hesitancy toward vaccines during this period. Originality/value This study finds that the timing of the rise in vaccine hesitation sentiment and the timing of the start of vaccine supply were misaligned. This is one of the reasons that Japan, which originally exhibited strong vaccine hesitancy, did not face vaccine hesitancy in the COVID-19 vaccine promotion project.

THE IMPORTANCE OF SOCIETY’S KNOWLEDGE ABOUT VACCINATION: FAKE NEWS, HISTORICAL CONTEXT, AND LITERATURE REVIEW

Vaccination is the most efficient and economical way to prevent diseases, so greater investment in this methodology is essential, both in research and in the dissemination of true information about its importance. In Brazil, the National Immunization Program (PNI) and the Ministry of Health (MS) are fundamental bodies in the distribution and dissemination of vaccines, however due to social difficulties, political problems and denial of science, Brazil has suffered a great wave of denial against vaccines and difficulties in immunizing against COVID-19 during the pandemic. OBJECTIVE: Finding ideas, pertinent facts, and discussions around fake news and vaccinations in scientific literature can help researchers determine how much the public is aware of vaccination and the effects of false information on low vaccination coverage. METHODOLOGY: Literature review using the main internet databases to select articles. CONCLUSIONS: Vaccines have a great impact on disease control, but since society is aware of this, vaccine coverage has decreased mainly due to the spread of false news.

Knowledge, attitudes and behaviors of family physicians about childhood vaccinations that are not in the routine vaccination schedule: a cross-sectional study.

In our country, there are childhood vaccinations that are not included in the routine vaccination schedule and that families have to buy and have for a fee. In addition to income level, family physicians' recommendations also play a major role in getting these vaccines.Our study was planned to determine the level of knowledge, attitudes and behaviors of family physicians about rotavirus, HPV and meningococcal vaccines, which are not included in the routine vaccination scheme of the Ministry of Health. Our cross-sectional and descriptive study was carried out between May and July 2019. The population of our study consists of approximately 30000 family physicians working as Family Physicians in Turkey. When the sample size is calculated with 5% margin of error and 95% confidence interval, it turns out to be 381. A 15-question questionnaire prepared by scanning the literature and including socio-demographic characteristics was presented to the participants. The Likert scale, which includes 12 questions about rotavirus, meningococcus, HPV and vaccines developed for these microorganisms, was administered to physicians either face-to-face or via the internet. In our study, the statistical significance level was accepted as P < 0.05, and the SPSS statistical package program was used in the calculations. 81 Research Assistants, 62 Family Medicine Specialists and 234 Family Physicians participated in our study, and the participants were determined by simple random sampling method. The mean age of the participating physicians was 37.96 ± 9.3 (min: 25 and max: 68). 50.9% of the physicians were women, 79.8% were married, 85.1% were in the city center, and 62.1% were practicing family medicine as general practitioners. 74.82% of the participating physicians recommend rotavirus and 56.2% HPV vaccines to their patients. 10.6% (40 people) of the physicians participating in our study did not recommend any of the rotavirus, HPV, meningococcal, influenza and adult pertussis vaccines to their patients. In the evaluation of the reason for this, 58.7% (27 people) of physicians who did not recommend special vaccines state that they did not recommend vaccines because they are not included in the routine vaccination schedule of the Ministry of Health. Another important reason was that the vaccines are paid (30.4%, 14 people). To the question of having sufficient information about special vaccines that are not included in the routine vaccination schedule, 26% of the participants stated that they have sufficient knowledge, and 56.5% stated that they have partial knowledge. The Likert knowledge questions total score of those who recommended at least one vaccine to their patients was significantly higher than those who did not recommend it at all. Likert knowledge questions total score of those who had at least one vaccination was significantly higher than those who never had it (P = 0.001). In general, as the level of knowledge about private vaccines decreases, the rates of self-vaccination, recommending it to their patients, and asking it to be included in the national vaccine schedule decrease. For this reason, increasing the knowledge of physicians about vaccines not included in the national vaccination schedule will contribute to the dissemination of vaccines, thus increasing immunity and reducing mortality and morbidity.

What impact does the attitude toward COVID-19 vaccination have on physicians as vaccine providers? A cross sectional study from the German outpatient sector.

COVID-19 vaccination is recognized as a key component in addressing the COVID-19 pandemic. Physicians' attitudes toward vaccination are known to play a defining role in the management and dissemination of medical advice to patients. In Germany, outpatient practitioners are predominantly responsible for the dissemination of vaccines. Using a cross-sectional online survey, 932 outpatient general practitioners, gynecologists, and pediatricians in Germany were asked in fall, 2021, about their attitude toward COVID-19 vaccination and - among others - their communication in vaccine discussions, their assessment of vaccine safety, and reporting of suspected adverse events. Physicians were divided into two groups along their attitudes toward COVID-19 vaccination. In addition, multivariate linear regression models were constructed to assess differences in communication strategies. 92% of physicians had a positive or very positive attitude toward COVID-19 vaccination. Own vaccination status, practice-based vaccination delivery, and estimated vaccination coverage among patients were significantly associated with the attitude toward vaccination. Confidence in vaccine safety was significantly lower among physicians with negative attitudes. There were no differences between the two groups in self-assessment of the ability to detect suspected adverse events, but there were differences in the observing and reporting of adverse events. For the linear regression models, we found that a more negative attitude toward COVID-19 vaccination was significantly associated with increased acceptance of patient refusal of COVID-19 vaccination and empathic behavior for patient concerns. In contrast, willingness to engage in a detailed persuasion consultation was significantly lower. Pediatricians showed significantly higher empathy for patient-side concerns compared to general practitioners, whereas gynecologists showed less empathy than general practitioners. The physician's attitude toward COVID-19 vaccination influences the physician's practices as a vaccine provider. However, when providing medical advice and healthcare, the physician should focus on the actual needs of the patient.

Changes in the characteristics and outcomes of COVID-19 patients from the early pandemic to the delta variant epidemic: a nationwide population-based study

ABSTRACT The coronavirus disease 2019 (COVID-19) pandemic has dramatically changed because of virus mutations, vaccine dissemination, treatment development and policies, among other factors. These factors have a dynamic and complex effect on the characteristics and outcomes of patients. Therefore, there is an urgent need to understand those changes and update the evidence. We used a large-scale real-world data set of 937,758 patients with COVID-19 from a nationwide claims database that included outpatients and inpatients in Japan to investigate the changes in their characteristics, outcomes and risk factors for severity/mortality from the early pandemic to the delta variant-predominant waves. The severity of COVID-19 was defined according to the modified World Health Organization clinical-progression ordinal scale. With changing waves, mean patient age decreased, and proportion of patients with comorbidities decreased. The incidences of “severe COVID-19 or death (i.e. ≥severe COVID-19)” and “death” markedly declined (5.0% and 2.9%, wild-type-predominant; 4.6% and 2.2%, alpha variant-predominant and 1.4% and 0.4%, delta variant-predominant waves, respectively). Across the wave shift, risk factors for ≥ severe COVID-19 and death, including older age, male, malignancy, congestive heart failure and chronic obstructive pulmonary disease, were largely consistent. The significance of some factors, such as liver disease, varied as per the wave. This study, one of the largest population-based studies on COVID-19, showed that patient characteristics and outcomes changed during the waves. Risk factors for severity/mortality were similar across all waves, but some factors were inconsistent. These data suggest that the clinical status of COVID-19 will change further with the coming epidemic wave.

Machine learning for optimizing daily COVID-19 vaccine dissemination to combat the pandemic

IntroductionVaccines are the most important instrument for bringing the pandemic to a close and saving lives and helping to reduce the risks of infection. It is important that everyone has equal access to immunizations that are both safe and effective. There is no one who is safe until everyone gets vaccinated. COVID-19 vaccinations are a game-changer in the fight against diseases. In addition to examining attitudes toward these vaccines in Africa, Asia, Oceania, Europe, North America, and South America, the purpose of this paper is to predict the acceptability of COVID-19 vaccines and study their predictors.Materials and methodsKaggle datasets are used to estimate the prediction outcomes of the daily COVID-19 vaccination to prevent a pandemic. The Kaggle data sets are classified into training and testing datasets. The training dataset is comprised of COVID-19 daily data from the 13th of December 2020 to the 13th of June 2021, while the testing dataset is comprised of COVID-19 daily data from the 14th of June 2021 to the 14th of October 2021. For the prediction of daily COVID-19 vaccination, four well-known machine learning algorithms were described and used in this study: CUBIST, Gaussian Process (GAUSS), Elastic Net (ENET), Spikes, and Slab (SPIKES).ResultsAmong the models considered in this paper, CUBIST has the best prediction accuracy in terms of Mean Absolute Scaled Error (MASE) of 9.7368 for Asia, 2.8901 for America, 13.2169 for Oceania, and 3.9510 for South America respectively.ConclusionThis research shows that machine learning can be of great benefit for optimizing daily immunization of citizens across the globe. And if used properly, it can help decision makers and health administrators to comprehend immunization rates and create strategies to enhance them.