Machine Learning and Laboratory Values in the Diagnosis, Prognosis and Vaccination Strategy of COVID-19

In March 2020, the World Health Organization (WHO) declared a pandemic status for COVID-19 disease caused by SARS-CoV-2 infection. Early diagnosis undoubtedly plays a fundamental role in the management of emergencies for the treatment of infected patients, whose prognosis may benefit from early treatment and containment of contagions in asymptomatic or pauci-symptomatic subjects. To date, the gold-standard technique for diagnosing SARS-CoV-2 infection is the identification of viral genomic material (RNA) by molecular diagnosis. To improve the pandemic management, the need for enhanced diagnostic capacity for SARS-CoV-2 infections soon emerged, with rapid, accurate, and easily accessible methods. Machine learning (ML) models could help define the diagnosis and, in some cases, even the prognosis of COVID-19 patients. This chapter describes ML models based on laboratory tests combined with other biometric parameters;the applications aimed at optimizing diagnosis and prognosis were mainly described. Finally, the vaccination campaign against SARS-CoV-2. The fields most considered were the heterogeneity in patient selection, laboratory parameters used, the machine learning models and their validation and implementation. Furthermore, we briefly describe artificial intelligence's potentialities in planning different strategies for the vaccination campaigns against SARS-COV-2 through laboratory tests. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

COVID-19 vaccination roll-outs in eleven small countries within the WHO European region; Lessons learned.

The development and administration of COVID-19 vaccines has been an essential element in controlling the COVID-19 pandemic. However, countries worldwide have faced challenges in planning and implementing vaccination strategies. The aim of the current paper is to describe the situation faced by small countries in the WHO European Region in implementing their national vaccination strategies during the first stages of the planned roll-out (up to May 2021). This paper uses information from the WHO Small Countries Initiative (SCI), which includes a network of 11 countries with populations of ≤ 2 million (Andorra, Cyprus, Estonia, Iceland, Latvia, Luxembourg, Malta, Monaco, Montenegro, San Marino, and Slovenia). The SCI countries faced many challenges including: a lack of appropriate vaccination centers, adequate workforce, and registration/booking systems to cope with the unprecedented vaccine storage and administration demands; difficulties for high-risk groups (e.g., older individuals and those with health problems or cognitive impairment) to access vaccination sites or use digital registration/booking systems; vaccine wastage due to canceled appointments; and inequalities in vaccine uptake. Innovative programmatic interventions were implemented to facilitate the vaccination uptake of the populations such as: the creation of non-medical vaccination sites and mobile vaccination units; on-site vaccination of people in long-term residential facilities and long-term medical wards; diversifying health workforce like redeployment of healthcare professionals and use of medical students and retired medical professionals; campaigns with clear information to the general public (in multiple languages where necessary) both offline and online; use of digital registration/booking systems and alternative (non-digital) registration/booking systems for relevant individuals; and administration of excess vaccine doses to non-priority groups to avoid wastage.

Has vaccination alleviated the strain on hospitals due to COVID-19? A combined difference-in-difference and simulation approach.

BACKGROUND: Serious measures, including mass vaccination, have been taken to ensure sufficient hospital capacity during the COVID-19 pandemic. Due to high hospitalization risk in the oldest age groups, most countries prioritized elderly for vaccines. The aim of this study is to broaden the understanding of how vaccination in younger age groups relieved the strain on hospitals during the pandemic. METHODS: To determine the impact of vaccination on hospitalization, we relied on individual level data on health care use and vaccination from the Norwegian Emergency Preparedness Register Beredt C19. Using a pre-post design, we estimated the increase in hospitalization days from before to after confirmed COVID-19 for individuals aged 18-64 who were fully vaccinated (N=2 419) or unvaccinated (N=55 168) with comparison groups of vaccinated (N=4 818) and unvaccinated (N= 97 126) individuals without COVID-19. To evaluate whether vaccination itself contributed to a strain in hospitals, we use a similar design to study hospitalization rates before and after vaccination by comparing individuals vaccinated with the first dose (N=67 687) to unvaccinated individuals (N=130 769). These estimates were incorporated into a simulation of hospitalization days with different vaccine scenarios to show how the estimated results might have mattered for the hospitals and their capacity. RESULTS: Hospitalization days increased by 0.96 percentage point each day during the first week and 1.57 percentage points during the second week after testing positive for COVID-19 for unvaccinated individuals. The corresponding increase was 0.46 and 0.32 for vaccinated individuals, i.e., a substantial difference. The increase was significantly higher for those aged 45-64 than for those aged 18-25. We find no increase in hospitalization days due to vaccination. Simulation results show that vaccination reduced hospitalization days by 25 percent, mainly driven by age 45-64. CONCLUSION: Our findings indicate that vaccination of individuals aged 18-64 did alleviate pressure on hospitals. Whereas there was a substantial relieve from vaccinating the 45-64 age group, there was no such contribution from vaccinating the 18-25 age group. Our study highlights how simulation models can be useful when evaluating alternative vaccine strategies.

Impact of Covid Vaccination: A Machine Learning Approach

The speed with which the COVID-19 pandemic has spread is astounding, but the global response is based on lessons learned from earlier sickness outbreaks in recent years. In a human test immunization study, solid volunteers are given a test antibody and afterward intentionally presented to the life from making the sickness check whether the antibody works or not. Nonetheless, there are significant moral contemplations that should be tended to especially for another infection like COVID-19, which perhaps not yet completely comprehend as yet it tends to figure out how to treat. It could be hard for the clinical local area and expected volunteers to appropriately appraise the possible dangers of taking an interest in a COVID-19 human test study. The investigation is completed utilizing managed AI calculations where it has been attempted to foresee the yield with greatest exactness. © The Electrochemical Society

Current vaccine strategies against SARS-CoV-2: Promises and challenges.

In the years since the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic began and spread across the globe, lessons have been learned about the challenges and opportunities that a pandemic brings to humankind. Researchers have produced many vaccines at unprecedented speed to protect people, but they have also been cognizant of the challenges presented by a new and unexpected infectious disease. The scope of this review is to examine the path of vaccine discovery so far and identify potential targets. Here, we provide insight into the leading vaccines and their advantages and challenges. We discuss the emerging mutations within the SARS-CoV-2 spike protein and other issues that need to be addressed to overcome coronavirus disease 2019 (COVID-19) completely. Future research is needed to develop a cheap, temperature-stable vaccine providing long-term immunity that protects the upper respiratory tract.

The COVID-19 vaccine development: A pandemic paradigm.

COVID-19 pandemic has resulted in millions of deaths and a social-economic crisis. A worldwide effort was made to develop efficient vaccines for this disease. A vaccine should produce immune responses with specific and neutralizing antibodies, and without harmful effects such as the antibody-dependent enhancement that may be associated with severe acute respiratory syndrome. Vaccine design involves the selection of platforms that includes viral, viral-vector, protein, nucleic acid, or trained immunity-based strategies. Its development initiates at a pre-clinical stage, followed by clinical trials when successful. Only if clinical trials show no significant evidence of safety concerns, vaccines can be manufactured, stored, and distributed to immunize the population. So far, regulatory authorities from many countries have approved nine vaccines with phase 3 results. In the current pandemic, a paradigm for the COVID-19 vaccine development has arisen, as many challenges must be overcome. Mass-production and cold-chain storage to immunize large human populations should be feasible and fast, and a combination of different vaccines may boost logistics and immunization. In silico trials is an emerging and innovative field that can be applied to predict and simulate immune, molecular, clinical, and epidemiological outcomes of vaccines to refine, reduce, and partially replace steps in vaccine development. Vaccine-resistant variants of SARS-CoV-2 might emerge, leading to the necessity of updates. A globally fair vaccine distribution system must prevail over vaccine nationalism for the world to return to its pre-pandemic status.

Off-Label Use of COVID-19 Vaccines from Ethical Issues to Medico-Legal Aspects: An Italian Perspective.

During the COVID-19 outbreak, the lack of official recommendations on the treatment has led healthcare workers to use multiple drugs not specifically tested and approved for the new insidious disease. After the availability of the first COVID-19 vaccines (Comirnaty Pfizer-BioNTech and Moderna COVID19 vaccine), an authorization was issued by national and international Drug Regulatory Agencies in order to speed up their introduction on the market and their administration on a large scale. Despite the authorization, the off-label use of these vaccines may still be possible especially to answer specific concerns as the lack of vaccine doses, the delay in the delivery of planned doses or the pressure from public opinion and political influence also in relation to the evolution of the pandemic. This paper aims to assess the possible off-label use of COVID-19 vaccines and the ethical and medico-legal implications of this eventuality. The scope of this paper is to point out the possible consequences of off-label use of COVID-19 vaccines and possible mitigation and preventive measures to be taken by healthcare workers involved in vaccination procedures.