Impact of Vaccination and Testing Levels on the Dynamics of the COVID-19 Pandemic and its Cessation

A simple statistical analysis of the accumulated and daily numbers of new COVID-19 cases and deaths per capita was performed with the use of recent datasets for European and some other countries and regions in order to find correlations with the testing and vaccination levels. It was shown that vaccination can significantly reduce the likelihood of deaths. However, existing vaccines do not prevent new infections. It looks that vaccinated individuals can spread the infection as intensely as unvaccinated ones and it is too early to lift quarantine restrictions in Europe and most other countries. The constant appearance of new cases due to re-infection increases the likelihood of new coronavirus strains, including very dangerous. As existing vaccines are not able to prevent this, it remains to increase the number of tests per registered case. If the critical value of the tests per case ratio (around 520) is exceeded, one can hope to stop the occurrence of new cases.

Cardiovascular system and COVID-19

The coronavirus disease 2019 (COVID-19) pandemic has affected health and economies around the globe at an unprecedented scale. Since the fi rst registered case of Covid-19 in December of 2019 until May 2021, more than 167 mil people have been infected and more than 3.5 mil have died. Patients with cardiovascular disease are one of the most affected groups. First, because cardiovascular disease, for example, stable angina or past myocardial infarction, weakens system’s abilities of dealing with stress due to infl ammation. Secondly, because COVID-19 is associated with multiple different mechanisms of cardiovascular injury. Developing COVID-19 related cardiovascular complications is associated with increased morbidity and mortality. The goal of this review is to present the known up to this moment mechanisms of cardiovascular injury and complications after COVID-19.

Effects of testing and vaccination levels on the dynamics of the COVID-19 pandemic and the prospects for its termination

ABSTRACTA simple statistical analysis of the accumulated and daily numbers of new COVID-19 cases and deaths per capita was performed with the use of recent datasets for European and some other countries and regions. It was shown that vaccination can significantly reduce the likelihood of deaths. However, existing vaccines do not prevent new infections, and vaccinated individuals can spread the infection as intensely as unvaccinated ones. Therefore, it is too early to lift quarantine restrictions in Europe and most other countries. The constant appearance of new cases due to re-infection increases the likelihood of new coronavirus strains, including very dangerous. As existing vaccines are not able to prevent this, it remains to increase the number of tests per registered case. If the critical value of 520 is exceeded, one can hope to stop the occurrence of new cases.

Predicting the Disease Outcome in COVID-19 Positive Patients Through Machine Learning: A Retrospective Cohort Study With Brazilian Data

The first officially registered case of COVID-19 in Brazil was on February 26, 2020. Since then, the situation has worsened with more than 672, 000 confirmed cases and at least 36, 000 reported deaths by June 2020. Accurate diagnosis of patients with COVID-19 is extremely important to offer adequate treatment, and avoid overloading the healthcare system. Characteristics of patients such as age, comorbidities and varied clinical symptoms can help in classifying the level of infection severity, predict the disease outcome and the need for hospitalization. Here, we present a study to predict a poor prognosis in positive COVID-19 patients and possible outcomes using machine learning. The study dataset comprises information of 8, 443 patients concerning closed cases due to cure or death. Our experimental results show the disease outcome can be predicted with a Receiver Operating Characteristic AUC of 0.92, Sensitivity of 0.88 and Specificity of 0.82 for the best prediction model. This is a preliminary retrospective study which can be improved with the inclusion of further data. Conclusion: Machine learning techniques fed with demographic and clinical data along with comorbidities of the patients can assist in the prognostic prediction and physician decision-making, allowing a faster response and contributing to the non-overload of healthcare systems.

Overview of the first year of the SARS-CoV-2 pandemic in Serbia and the Pirot County

The SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2, corona virus) pandemic has introduced a sudden and overwhelming change into our everyday lives, which had a significant impact on various vital aspects of our society. The first officially registered case of infection was reported on December 31st, 2019. in Wuhan, China. Since then, its worldwide spread has led to a global pandemic of the respiratory disease COVID-19 (Coronavirus Disease 19). Up to May 31st, 2021, there have been over 169 million officially reported cases of infection in the world, with over 3.5 million deaths. Since the first day of the pandemic, huge efforts have been employed by the health and scientific community to enable most efficient diagnostics, treatment and prevention by development of efficient vaccines. In Serbia, the first official SARS-CoV-2 case was registered on March 6th, 2020. Until May 31st, 2021, the total number of infected people was 712 472, total number of deaths 6 865 and the mortality rate 0.96%. The first antiSARS-CoV-2 vaccine was administered on December 24th, 2020, and by May 31st 2021 over 2 million people were successfully vaccinated in Serbia. If any positive effects of the pandemic can be highlighted, the health institutions of our country have prepared protocols and recommendations which can be modified according to specific needs in the case of future pandemics. Further dynamic of this pandemic will depend in great part on our responsibility for personal and collective health, as well as on global measures undertaken to reach a new eagerly awaited normality.

Predicting the disease outcome in COVID-19 positive patients through Machine Learning: a retrospective cohort study with Brazilian data

The first officially registered case of COVID-19 in Brazil was on February 26, 2020. Since then, the situation has worsened with more than 672, 000 confirmed cases and at least 36, 000 reported deaths at the time of this writing. Accurate diagnosis of patients with COVID-19 is extremely important to offer adequate treatment, and avoid overloading the healthcare system. Characteristics of patients such as age, comorbidities and varied clinical symptoms can help in classifying the level of infection severity, predict the disease outcome and the need for hospitalization. Here, we present a study to predict a poor prognosis in positive COVID-19 patients and possible outcomes using machine learning. The study dataset comprises information of 13, 690 patients concerning closed cases due to cure or death. Our experimental results show the disease outcome can be predicted with a ROC AUC of 0.92, Sensitivity of 0.88 and Specificity of 0.82 for the best prediction model. This is a preliminary retrospective study which can be improved with the inclusion of further data. Conclusion: Machine learning techniques fed with demographic and clinical data along with comorbidities of the patients can assist in the prognostic prediction and physician decision-making, allowing a faster response and contributing to the non-overload of healthcare systems.

Legal Protection Of Heirs Testamenter To Testament Agreement Which Not Registered (Case Study Testamenter Without Heirs)

Law of inheritance only happens because the person died. In BW there are two ways to get wealth, that is: as heirs according to the provisions of law and as a person appointed in the will. What is meant by the will itself according to Article 875 BW is an agreement that make statements about what he wished someone would happen after he died, and that by her to pull back. In general, people make a will before a Public Notary. According to article 1 paragraph 1 of Act No. 2 of 2014 concerning On Notary (now referred to UUJN). Notary is a public official who is authorized to make authentic agreements and other authorities referred to in the Act, where each testament must be shaped agreement in order to obtain certainty law as an authentic agreement binding. With the creation of the will meant that the parties can understand and be able to know the basic result of the offense can be arranged so that the interests of the concerned receive proper protection as known by the Notary.Keywords: Inheritance; Heir; Testament; Authentic Agreement

Analysis of factors of congenital malformations in families where there were cases of infertility in anamnesis

Analyses of clinical, epidemiological, medical and statistical data of source documents over the period of 2010-2013 have been carried out prospectively. The data were selected using the method "case-control", namely, registration forms of couples with infertility cases in anamnesis. For each registered case of infertility "Registration Card of primary infertility" was filled in and, as a control, "Registration card of a couple who gave birth to alive full-term healthy baby" born in the shortest period of time (according to methodical recommendations "The organization of genetic monitoring" [13]. 3 women (10,0 %) with primary infertility who contacted with occupational hazards (masters of tailoring services who suffered from noise and vibration) and no such cases in women in the control group (p<0,05). In women, of the studied group in 66,7 % of cases were observed gynecological diseases: Hydrosalpinx and saktosalpinks – 9 patients (30,0 %), 5 – Ovarian cysts (16,7 %), 3 – Ovarian sklerokistoza (10,0 %) and recorded one case of ovarian tuberculosis (3,3 %), that is statistically different (p<0,05) from the data of the control group – in which only two patients had ovarian cysts (6,7 %). In the studied group 17 women (56,7 %) were treated for infertility, which was statistically different (p<0,05) from the data of the control group, in which only 2 women (6,7 %) received treatment for infertility. Among the relatives of women of the studied group were people with loss of hearing and speech. That was the sister of the woman with primary infertility. And the husband’s sister of the couple with infertility suffered from Down syndrome that is statistically different (p<0,05) from the data of the control group, in which there were no anomalies among the relatives.