Natural Patterns and Magnetic and Mental Processes of Coronavirus Activation and Neutralization

For twenty years, humanity has seen the third attempt at the transition of coronavirus to humans. The vaccine has been found, but coronavirus transitions will not stop even with the improvement of medicine. Nobel laureate in medicine Professor Luc Montagnier argues that vaccines may not live up to humanity's hopes of getting rid of COVID-19. Collective immunity for coronavirus has not been developed, repeated infections are more and more common, beds of seriously ill people are not empty, and mortality is running high, no one knows what will happen to all of us. In Israel, where vaccination has long been compulsory, and over 60% of the population, including underage children, have been vaccinated, the incidence is not just declining, but still breaking all records. So, the maximum number of cases here was revealed on September 1 - 16,629, which almost caught up with Russia (18,368 confirmed on the same September 1) with our percentage of vaccinated 26.1% of the number of citizens. At the end of September 2021, morbidity and mortality increase, because it is a system. Based on existing monthly pneumonia mortality statistics over the past 15 years, there are three waves each year. Since September 22, there has been a surge of pneumonia, ARI, and even non-communicable diseases. The second wave comes at the end of December - January, it is usually three times larger than the first. Then around March-April there is a third wave. These three waves exist steadily from year to year, their amplitudes can change, then one will be higher, then the other, they are not absolutely hard on schedule, but they are reproduced regularly in other countries. The first wave of the Spanish pandemic covered the world just at the end of September 1918. The coronavirus was the same. The first wave in America is September 2019, an unexplained surge of pneumonia with a rather high mortality rate, which was written off for smoking e-cigarettes and called "vape." Now they decided to watch the surviving tests of patients, and there - COVID-19. In Europe, it was the same.

Conceptualizing The Integration of eHealth With eGovernance in a Developing Country

In Namibia, there is a problem of integration between eHealth and eGovernance. This problem has resulted in the fragmentation, decentralisation, and duplication of processes and patient data. These challenges lead to bigger health problems because diagnoses are duplicated, and rates of mortality increase. From the governance angle, service delivery deteriorates owing to lack of transparency and so accurate evaluation of service quality. This study used an interpretivist perspective to identify the factors that can influence the integration between eHealth and eGovernance in the Namibian environment. A total of 66 papers from the years 2011-2020 were deemed relevant to the study and categorized according to topic and year of publication. Based on the factors identified in the data analysis, the challenges identified were conceptualized in terms of how to address the problem of integration between eHealth and eGovernance in a developing country like Namibia.

Impact of COVID-19 on older adults and role of long-term care facilities during early stages of epidemic in Italy

Older adults are the main victims of the novel COVID-19 coronavirus outbreak and elderly in Long Term Care Facilities (LTCFs) are severely hit in terms of mortality. This paper presents a quantitative study of the impact of COVID-19 outbreak in Italy during first stages of the epidemic, focusing on the effects on mortality increase among older adults over 80 and its correlation with LTCFs. The study of growth patterns shows a power-law scaling regime for the first stage of the pandemic with an uneven behaviour among different regions as well as for the overall mortality increase according to the different impact of COVID-19. However, COVID-19 incidence rate does not fully explain the differences of mortality impact in older adults among different regions. We define a quantitative correlation between mortality in older adults and the number of people in LTCFs confirming the tremendous impact of COVID-19 on LTCFs. In addition a correlation between LTCFs and undiagnosed cases as well as effects of health system dysfunction is also observed. Our results confirm that LTCFs did not play a protective role on older adults during the pandemic, but the higher the number of elderly people living in LTCFs the greater the increase of both general and COVID-19 related mortality. We also observed that the handling of the crises in LTCFs hampered an efficient tracing of COVID-19 spread and promoted the increase of deaths not directly attributed to SARS-CoV-2.

Catheter ablation of supraventricular tachycardia in patients with and without structural heart disease: insights from the German ablation registry

Aim To compare patient characteristics, safety and efficacy of catheter ablation of supraventricular tachycardia (SVT) in patients with and without structural heart disease (SHD) enrolled in the German ablation registry. Methods and results From January 2007 until January 2010, a total of 12,536 patients (37.2% with known SHD) were enrolled and followed for at least one year. Patients with SHD more often underwent ablation for atrial flutter (45.8% vs. 20.9%, p < 0.001), whereas patients without SHD more often underwent ablation for atrioventricular nodal reentrant tachycardia (30.2% vs. 11.8%, p < 0.001) or atrioventricular reentrant tachycardia (9.1% vs. 1.6%, p < 0.001). Atrial fibrillation catheter ablation procedures were performed in a similar proportion of patients with and without SHD (38.1% vs. 36.9%, p = 0.21). Overall, periprocedural success rate was high in both groups. Death, myocardial infarction or stroke occurred in 0.2% and 0.1% of patients with and without SHD (p = 0.066). Major non-fatal complications prior to discharge were rare and did not differ significantly between patients with and without SHD (0.5% vs. 0.4%, p = 0.34). Kaplan–Meier mortality estimate at 1 year demonstrated a significant mortality increase in patients with SHD (2.6% versus 0.7%; p < 0.001). Conclusion Patients with and without SHD undergoing SVT ablation exhibit similar success rates and low major complication rates, despite disadvantageous baseline characteristics in SHD patients. These data highlight the safety and efficacy of SVT ablation in patients with and without SHD. Nevertheless Kaplan–Meier mortality estimates at 1 year demonstrate a significant mortality increase in patients with SHD, highlighting the importance of treating the underlying condition and reliable anticoagulation if indicated.

Excess of all-cause mortality is only partially explained by COVID-19 in Veneto (Italy) during spring outbreak

Background Italy has been the first European country to be affected by the COVID-19 epidemic which started out at the end of February. In this report, we focus our attention on the Veneto Region, in the North-East of Italy, which is one of the areas that were first affected by the rapid spread of SARS-CoV-2. We aim to evaluate the trend of all-cause mortality and to give a description of the characteristics of the studied population. Methods Data used in the analyses were released by the majority of municipalities and cover the 93% of the total population living in the Veneto Region. We evaluated the trend of overall mortality from Jan.01 to Jun.30. 2020. Moreover we compared the COVID-19-related deaths to the overall deaths. Results From March 2020, the overall mortality rate increased exponentially, affecting males and people aged > 76 the most. The confirmed COVID-19-related death rate in the Veneto region between Mar.01 and Apr.302020 is 30 per 100,000 inhabitants. In contrast, the all-cause mortality increase registered in the same months in the municipalities included in the study is 219 per 100,000 inhabitants. Conclusions COVID-19 has a primary role in the increase in mortality but does not entirely explain such a high number of deaths. Strategies need to be developed to reduce this gap in case of future waves of the pandemic.

Short-term Effects of Different PM2.5 Thresholds on Daily All-cause Mortality in Jinan, China

To examine the effects of different PM2.5 limits on daily all-cause mortality, 8,768 all-cause deaths were recorded in the database of the Jinan Center for Disease Control and Prevention. Data on the levels of air pollutants (PM2.5 and O3) were provided by the Jinan Environment Monitoring Center. The Jinan Bureau of Meteorology provided air temperatures and relative humidity. The relative risk of all-cause mortality was assessed using a quasi-Poisson regression model after adjusting Interference factors. There was a significant positive association between exposure concentrations (35 µg/m³, 75 µg/m³, and 150 µg/m³) and all-cause deaths, with a mortality increase of 1.07 (1.01, 1.13), 1.03 (1.00, 1.05), and 1.05 (1.01, 1.08), respectively. It had a significant correlation between all-cause deaths and a PM2.5 limit of 35 µg/m³ in men. All-cause mortality in women and individuals aged ≥ 60 years increased significantly with exposure to PM2.5 levels of 75, 115, and 150 µg/m³. There was no significant relationship between PM2.5 exposure and all-cause deaths in individuals aged < 60 years. Exposure to PM2.5 (35 µg/m³) increased the mortality risk. Women and individuals aged ≥ 60 years were more sensitive to the effects of PM2.5 than men and individuals aged < 60 years.

Clinical and financial burden of hospitalised community-acquired pneumonia in patients with selected underlying comorbidities in England

BackgroundHospitalised pneumonia may have long-term clinical and financial impact in adult patients with underlying comorbidities.MethodsWe conducted a retrospective cohort study using the Hospital Episode Statistics (HES) database to determine the clinical and financial burden over 3 years of hospitalised community-acquired pneumonia (CAP) to England’s National Health Service (NHS). Subjects were adults with six underlying comorbidities (chronic heart disease (CHD); chronic kidney disease (CKD); chronic liver disease (CLD); chronic respiratory disease (CRD); diabetes mellitus (DM) and post bone marrow transplant (post-BMT)) with an inpatient admission in 2012/2013. Patients with CAP in 2013/2014 were followed for 3 years and compared with similarly aged, propensity score-matched adults with the same comorbidity without CAP.FindingsThe RR of hospital admissions increased after CAP, ranging from 1.08 (95% CI 1.04 to 1.12) for CKD to 1.38 (95% CI 1.35 to 1.40) for CRD. This increase was maintained for at least 2 years. Mean difference in hospital healthcare costs (£) was higher for CAP patients in 2013/2014; ranging from £1115 for DM to £8444 for BMT, and remained higher for 4/6 groups for 2 more years, ranging from £1907 (95% CI £1573 to £2240) for DM to £11 167 (95% CI £10 847 to £11 486) for CRD.) The OR for mortality was significantly higher for at least 3 years after CAP, ranging from 4.76 (95% CI 4.12 to 5.51, p<0.0001) for CLD to 7.50 (95%CI 4.71 to 11.92, p<0.0001) for BMT.InterpretationFor patients with selected underlying comorbidities, healthcare utilisation, costs and mortality increase for at least 3 years after being hospitalised CAP.

The Effects of Indias COVID-19 Lockdown on Critical Non-COVID Health Care and Outcomes

Indias COVID-19 lockdown is widely believed to have disrupted critical health services, but its effect on non-COVID health outcomes is largely unknown. Comparing mortality trends among dialysis patients in the eight months around the lockdown with the previous year, we document a 64% increase in mortality between March and May 2020 and an estimated 22-25% total excess mortality through July 2020. The mortality increase is greater among females and disadvantaged groups. Barriers to transportation and disruptions in hospital services appear to be the main drivers of increased morbidity and mortality. The results highlight the unintended consequences of the lockdown on critical and life-saving non-COVID health services that must be taken into account in the implementation of future policy efforts to control the spread of pandemics.

Assessing the Diversity of the Form of Age-Specific Changes in Adult Mortality from Captive Mammalian Populations

Actuarial senescence (i.e., the age-specific increase in mortality rate) is pervasive across mammalian species, but our current understanding of the diversity of forms that actuarial senescence displays across species remains limited. Although several mathematical models have been proposed to model actuarial senescence, there is still no consensus on which model to use, especially when comparing mortality patterns among species. To fill this knowledge gap, we fitted and compared different forms of increase using models commonly used in senescence studies (i.e., Gompertz, Weibull, and logistic) across 61 species of mammalian captive populations using the Bayesian Survival Trajectory Analysis (BaSTA) approach. For as much as 79% of the species, a Gompertz increase of mortality with age was the most parsimonious model that satisfactorily described the shape of age-specific mortality changes in adults. This highlights that the form of the increase in mortality is mostly consistent across mammalian species and follows the Gompertz rule with some rare exceptions. The implications of that result are twofold. First, the Gompertz rate of mortality increase should be used in cross-species comparative analyses of mammals, as already done in some studies. Second, although the Gompertz model accurately describes actuarial senescence in most mammals, there are notable exceptions, and the factors causing this deviation from an exponential mortality increase during the adult stage warrant further investigation.

How Large Was the Mortality Increase Directly and Indirectly Caused by the COVID-19 Epidemic? An Analysis on All-Causes Mortality Data in Italy

Objective: Overall mortality is a relevant indicator of the population burden during an epidemic. It informs on both undiagnosed cases and on the effects of health system disruption. Methods: We aimed at evaluating the extent of the total death excess during the COVID-19 epidemic in Italy. Data from 4433 municipalities providing mortality reports until April 15th, 2020 were included for a total of 34.5 million residents from all Italian regions. Data were analyzed by region, sex and age, and compared to expected from 2015–2019. Results: In both genders, overall mortality was stable until February 2020 and abruptly increased from March 1st onwards. Within the municipalities studied, 77,339 deaths were observed in the period between March 1st to April 15th, 2020, in contrast to the 50,822.6 expected. The rate ratio was 1.11 before age 60 and 1.55 afterwards. Both sexes were affected. The excess was greater in the regions most affected by COVID-19 but always exceeded the deaths attributed to COVID-19. The extrapolation to the total Italian population suggests an excess of 45,033 deaths in the study period, while the number of COVID–19 deaths was 21,046. Conclusion: Our paper shows a large death excess during the COVID-19 epidemic in Italy; greater than the number attributed to it. Possible causes included both the undetected cases and the disruption of the Health Service organization. Timely monitoring of overall mortality based on unbiased nationwide data is an essential tool for epidemic control.