Sociodemographic and COVID-Related Predictors for Mental Health Condition of Mainland Chinese in Canada Amidst the Pandemic.

The current study investigates the mental health condition of Mainland Chinese in Canada and identifies the associated sociodemographic and COVID-19-related predictors. A sample of 471 Mainland Chinese aged 18 or older completed an online survey that collected information on demographics, experience, cognition, and behaviours related to the COVID-19 pandemic and mental health condition. Mental health condition was assessed with the Depression, Anxiety, and Stress Scale-21 (DASS-21) for the depression, anxiety, and stress levels of Mainland Chinese during the pandemic. Moderate to severe depression, anxiety, and stress levels were respectively reported by 11.30%, 10.83%, and 5.10% of respondents. Univariate analysis of variance models (ANOVAs) were conducted to assess mental health condition variance as stratified by independent sociodemographic- or COVID-19-related explanatory variables, to identify possible predictors to be entered into the subsequent regression models. The regression models identified age, income level, health status, and perceived discrimination as significant sociodemographic predictors (absolute value of ßs = 1.19-7.11, ps < 0.05), whereas self-infection worry, attitude towards Canadian measures, information confusion, food/goods stocking, and room cleaning/sanitizing were identified as significant COVID-19-reltaed predictors (absolute value of ßs = 1.33-3.45, ps < 0.05) for mental health outcomes. The results shed light on our understanding of the major factors associated with the mental health condition of Mainland Chinese in Canada during the COVID-19 pandemic.

A threefold approach including quantum chemical, molecular docking and molecular dynamic studies to explore the natural compounds from Centaurea jacea as the potential inhibitors for COVID-19.

In the current report, we studied the possible inhibitors of COVID-19 from bioactive constituents of Centaurea jacea using a threefold approach consisting of quantum chemical, molecular docking and molecular dynamic techniques. Centaurea jacea is a perennial herb often used in folk medicines of dermatological complaints and fever. Moreover, anticancer, antioxidant, antibacterial and antiviral properties of its bioactive compounds are also reported. The Mpro (Main proteases) was docked with different compounds of Centaurea jacea through molecular docking. All the studied compounds including apigenin, axillarin, Centaureidin, Cirsiliol, Eupatorin and Isokaempferide, show suitable binding affinities to the binding site of SARS-CoV-2 main protease with their binding energies -6.7 kcal/mol, -7.4 kcal/mol, -7.0 kcal/mol, -5.8 kcal/mol, -6.2 kcal/mol and -6.8 kcal/mol, respectively. Among all studied compounds, axillarin was found to have maximum inhibitor efficiency followed by Centaureidin, Isokaempferide, Apigenin, Eupatorin and Cirsiliol. Our results suggested that axillarin binds with the most crucial catalytic residues CYS145 and HIS41 of the Mpro, moreover axillarin shows 5 hydrogen bond interactions and 5 hydrophobic interactions with various residues of Mpro. Furthermore, the molecular dynamic calculations over 60 ns (6×106 femtosecond) time scale also shown significant insights into the binding effects of axillarin with Mpro of SARS-CoV-2 by imitating protein like aqueous environment. From molecular dynamic calculations, the RMSD and RMSF computations indicate the stability and dynamics of the best docked complex in aqueous environment. The ADME properties and toxicity prediction analysis of axillarin also recommended it as safe drug candidate. Further, in vivo and in vitro investigations are essential to ensure the anti SARS-CoV-2 activity of all bioactive compounds particularly axillarin to encourage preventive use of Centaurea jacea against COVID-19 infections.

Analysis of the excess mortality and factors associated with deaths from COVID-19 versus other causes in Central Tuscany (Italy) in 2020.

OBJECTIVES: to assess the extent of the excess mortality from all causes in 2020 compared to 2015-2019 in Central Tuscany (Italy) as a proxy to estimate COVID-19-related excess mortality and to identify demographic and clinical differences between subjects who died from COVID-19 and those who died from other causes in 2020. DESIGN: descriptive analysis of the temporal trend of general mortality. SETTING AND PARTICIPANTS: the study population is represented by the 1.6 million residents living in the territory of the Central Tuscany Healthcare Authority in Central Italy, i.e., little less than half of the population of Tuscany, in an area of just over one fifth of the entire region, where the provinces of Florence, Pistoia, and Prato are comprised. MAIN OUTCOME MEASURES: using the Italian National Resident Population Registry (ANPR) as a source of mortality data, standardized mortality ratios with 95% confidence intervals were calculated to compare the number of deaths in 2020 with the number of deaths expected on the basis of mortality data from 2015 to 2019. Furthermore, after record linkage with data from the integrated surveillance of cases of SARS-CoV-2 virus infection and with the MaCro dataset of comorbidities, the characteristics of subjects who died from COVID-19 were compared with those of patients who died from other causes using a multivariate logistic regression model; odds ratios with 95% confidence intervals were calculated. RESULTS: a statistically significant excess mortality was observed during the first pandemic wave in March and April, and during the second wave in the fall; it ranged between +9% in March and +51% in November. On the contrary, in January, February, and May, all-cause mortality was significantly lower than in previous years. The male gender, dyslipidaemia, and dementia were positively associated with death from COVID-19 rather than from all other causes. On the contrary, heart failure and recent tumours were more represented among deaths from other causes. CONCLUSIONS: much of the over-mortality observed in spring is attributable to the harvesting effect COVID-19 exerted on a segment of population with serious underlying chronic conditions and who in the previous months had survived a mild winter and a flu season of medium intensity. In the second pandemic wave, in autumn, the impact of both direct and indirect effects of COVID-19 was substantially higher. Consistently with the available evidence, death from COVID-19 was related to the male gender and to clinical conditions such as dyslipidaemia and dementia.

Death caused by covid-19 in top ten countries in Asia affected by covid-19 pandemic with special reference to Pakistan.

The COVID-19 is a contagious viral disease, was first emerged in Wuhan, China in December 2019 and became the whole world on alert. The mortality rate in top most countries in Asia with special reference to Pakistan has been focused. Since February 26 to September 2020 the total confirmed cases and mortality rate was measured through Wikipedia and the notable journals. Iran is the only country having highest number of deaths (5.73%) followed by Indonesia (3.77%) while Saudi Arabia shows the lowest number of deaths as 1.39%. In Pakistan the first case was confirmed in 26th February, 2020. The nCov-19 has closely related to severe acute respiratory syndrome (SARS) hence SARS COV-2 was named. This virus is responsible for more than 33.9 million deaths in over all the world as of 20th September, 2020. The number of new cases is increasing time to time. Sindh province of Pakistan has reported the highest number of cases till September, 20, 2020 as compared to other parts of the country and has the highest number of death followed by Khyber Pakhtunkhwa. Because of the person to person contact the disease is spreading rapidly. The individuals who has already infected with other diseases like cancer or diabetic etc. are vulnerable. The nCOV-19 is the most contagious due to its mode of transmission. There is still no vaccine is available for the treatment of disease caused by nCoV-2019. It is therefore the only option to control this pandemic is to adopt effective preventive measures.

Current understanding of an Emerging Coronavirus using in silico approach: Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2).

Novel coronavirus (nCoV) namely "SARS-CoV-2" is being found responsible for current PANDEMIC commenced from Wuhan (China) since December 2019 and has been described with epidemiological linkage to China in about 221 countries and territories until now. In this study we have characterized the genetic lineage of SARS-CoV-2 and report the recombination within the genus and subgenus of coronaviruses. Phylogenetic relationship of thirty nine coronaviruses belonging to its four genera and five subgenera was analyzed by using the Neighbor-joining method using MEGA 6.0. Phylogenetic trees of full length genome, various proteins (spike, envelope, membrane and nucleocapsid) nucleotide sequences were constructed separately. Putative recombination was probed via RDP4. Our analysis describes that the "SARS-CoV-2" although shows great similarity to Bat-SARS-CoVs sequences through whole genome (giving sequence similarity 89%), exhibits conflicting grouping with the Bat-SARS-like coronavirus sequences (MG772933 and MG772934). Furthermore, seven recombination events were observed in SARS-CoV-2 (NC_045512) by RDP4. But not a single recombination event fulfills the high level of certainty. Recombination mostly housed in spike protein genes than rest of the genome indicating breakpoint cluster arises beyond the 95% and 99% breakpoint density intervals. Genetic similarity levels observed among "SARS-CoV-2" and Bat-SARS-CoVs advocated that the latter did not exhibit the specific variant that cause outbreak in humans, proposing a suggestion that "SARS-CoV-2" has originated possibly from bats. These genomic features and their probable association with virus characteristics along with virulence in humans require further consideration.

[The wave train of COVID-19 infections]. / COVID-19: il treno di onde dei contagi.

The present work studies the epidemic curve of COVID-19 in Italy between September 2020 and mid-June 2021 in terms of poussées, that is successive waves. There is obviously only one pandemic, although the virus has spread in the form of several variants, but the daily incidence trend can also be read in terms of overlapping of events that are different from each other or, in any case, induced by various phenomena. It can be hypothesized that in this way a succession of various waves was generated, which are modelled here using appropriate adaptation curves used in the study of epidemic data. Each curve corresponds approximately to the situation that would have occurred if no element had intervened to prevent the decrease of infections after the relative peak, while their overlap is considered to describe the subsequent increases. This interpolation has no predictive purpose, being purely descriptive over the time window under consideration. The discrepancies between the superposition of the modelling curves and the real epidemic curve are therefore also highlighted, especially in the transition periods between the various poussées. Finally, the analysis carried out allows to match the trend of the epidemic in the period considered with, on one hand, the series of events and, on the other, with the containment measures adopted which may have determined the succession of increases and decreases in the incidence of infections.

Gender-based incidence, recovery period, and mortality rate of COVID-19 among the population of district Attock, Pakistan.

COVID-19 is reported as an extremely contagious disease with common symptoms of fever, dry cough, sore throat, and tiredness. The published literature on incidence and gender-wise prevalence of COVID-19 is scarce in Pakistan. Therefore, the present study was designed to compare the distribution, incubation period and mortality rate of COVID-19 among the male and female population of district Attock. The data were collected between 01 April 2020 and 07 December 2020 from the population of district Attock, Pakistan. A total of 22,962 individuals were screened and 843 were found positive for RT-qPCR for SARS-CoV-2. The confirmed positive cases were monitored carefully. Among the positive cases, the incidence of COVID-19 was 61.7% among males and 38.2% among females. The average recovery period of males was 18.89±7.75 days and females were 19±8.40 days from SARS-CoV-2. The overall mortality rate was 8.06%. The death rate of male patients was significantly higher (P<0.05) compared to female patients. Also, the mortality rate was higher (P<0.05) in male patients of 40-60 years of age compared to female patients of the same age group. Moreover, the mortality rate significantly increased (P<0.05) with the increase of age irrespective of gender. In conclusion, the incidence and mortality rate of COVID-19 is higher in males compared to the female population. Moreover, irrespective of gender the mortality rate was significantly lower among patients aged <40 years.

[Effects of the COVID-19 pandemic on health inequalities and mental health: effective public policies]. / Gli effetti della pandemia COVID-19 sulle disuguaglianze di salute e salute mentale: politiche pubbliche efficaci.

The aim of this article is to examine the effects of the COVID-19 pandemic on health inequalities and mental disorders and to analyse the most effective public policies in containing them. COVID-19, in addition to causing the worst health crisis since World War II, has generated a severe economic recession and a rise in unemployment. The poorer socioeconomic classes have been most affected by infections and deaths caused by the SARS-CoV-2 virus due to inequalities in working, housing and area of ​​residence conditions, psychosocial factors, and unequal access to health care. The pandemic crisis, in addition to causing psychiatric and neurological problems in people who have been hospitalized, appears to have increased the risk of psychological problems through various mechanisms such as social distancing, loss of a loved one, unemployment, and economic difficulties. In many countries, however, there was no significant increase in suicides in 2020 and there have even been decreasing temporal trends. It is possible that the crisis, in addition to creating stress and social isolation, may have promoted reciprocity, interpersonal help, and greater motivation to take care of one's health.The most effective policies in reducing COVID-19 mortality have the potential to limit the most adverse effects of the pandemic on health inequalities and mental health. Thanks to vigorous preventive interventions on the territory, based on testing, tracing, isolating, timely, countries who managed best the pandemic avoided prolonged and repeated lockdowns, protected public health and the economy. However, more vigorous social protection measures are needed in favour of those populations most affected by the health crisis and its socioeconomic effects. This pandemic offers the opportunity to learn lessons on the protection of public health and stress the need to adopt a syndemic model oriented towards prevention.

COVID in Africa, one year later.

This paper presents an update of last year analysis of COVID in sub-Sahara Africa (SSA). The number of confirmed cases and deaths has dramatically increased, partially driven by the expanded diagnostic capacity, but it is an unknown undercount of people infected: we are blind with respect to the real size of the pandemic. The aggregate numbers mask a substantial heterogeneity: South Africa accounts for almost half of the cases in the region; Ethiopia, the second top country in the ranking, follows from afar, with only 6% of reported cases. There are signs that the third wave of COVID, driven by the more transmissible Delta variant, is easing off.The concerns that the pandemic would have affected more severely the most vulnerable populations (refugees and internally displaced persons) have not been confirmed: there is no evidence of hospitals overwhelmed nor of high mortality in humanitarian settings, a pattern that has not found an explanation.As of now, only 1% of African has been vaccinated, a sign of vaccine inequity and of 'a catastrophic moral failure' of rich countries, which have secured a surplus of hundred million COVID vaccines that they cannot use.The combined effects of the pandemic and control measures have been particularly severe in SSA economies, where underemployment and job insecurity prevail. Reduced export of commodities, collapse of tourism and agriculture, decline of foreign investment, aid, and remittances have driven million Africans in extreme poverty. The international financial institutions have shifted their strategies from austerity to a strong package of grants and concessional loans to support poor countries, including those in SSA, to cope with the immediate consequences of the pandemic, under the lemma 'vaccine policy is the most important economic policy'.

[The COVID-19 Epidemic: the experience in the Social and Health Care Center of the Mantua District (Lombardy Region, Northern Italy)]. / Epidemia di COVID-19: l'esperienza della struttura socio sanitaria territoriale provinciale di Mantova.

OBJECTIVES: to describe the course of COVID-19 epidemic in the hospitals of the ASST of Mantua (Lombrady Region, Northern Italy) from February 2020 to April 2021. DESIGN: observational study. SETTING AND PARTICIPANTS: data from hospital discharging chart of all patients admitted to the hospitals of ASST were collected from 26.02.2020 to 30.04.2021 with COVID-19 diagnosis. Data from Emergency Rooms for patients evaluated but not admitted to departments were also collected. MAIN OUTCOME MEASURES: the data from hospital discharging were crossed for diagnosis with data from laboratory. The department were classified into 'low intensity' and 'middle/high intensity'. The comparison was according to the different periods of epidemic. RESULTS: patients admitted to the hospitals were 2,738: 510 died (17.3%) and 1,736 patients were evaluated in the Emergency Rooms but not admitted to departments. Among these patients, 166 died (9.6%). The prevailing age class were >=65 years, with a trend to reduction in the third wave. The proportion of admission in middle/high intensity departments was significantly higher in the second wave than in the first. N. 510 deaths by 2,738 (17.3%) were observed, with significant reduction in the second and third waves in the low intensity departments (from 21.9% to 14.3% and 12.7%) (p<0.001), while mortality was substantially unchanged in the middle/high intensity departments (28.0%, 29.6%, and 28.3%). The mortality for patients with >=65 years was 26.7%. Females showed lower mortality (OR 0.690; CI95% 0.560-0.840) and lower incidence of admissions in middle/high intensity departments (OR 0.556; CI95% 0.459-0.673) in the three waves. Finally, including also the patients not admitted, the general mortality was 15.1%. CONCLUSIONS: a worse outcome by mortality and severity of disease was observed for male gender compared to female and for older age classes. Moreover, a significant improvement of outcomes in the second and third waves, compared to the first, was pointed out.

Impact of COVID-19 pandemic waves on changes in surgical urgency volumes and severity in the regional hospital network of Trento (Northern Italy): a descriptive epidemiological analysis.

OBJECTIVES: to analyse both direct and indirect impacts on surgical admissions, surgical rates, and clinical picture severity of the two COVID-19 pandemic waves in a hospital network covering an entire province (Trento, located in Trentino-Alto Adige Region, Northern Italy). DESIGN: retrospective epidemiological study. SETTING AND PARTICIPANTS: data regarding the patient load of the Surgical Urgencies/Emergencies flows (SUEs) of the Local Health Authority of the Autonomous Province of Trento derived from the Hospital Discharge Record (HDR) information flow. The population in study was that of patients hospitalized in the entire Province of Trento. This study compares the volume and characteristics of urgent/emergency surgery during the 2020 COVID-19 pandemic with the homologous period in 2019, subdividing the analysed pandemic period in 3 separated groups: • phase I (March-May 2020); • phase II (June-August 2020); • phase III (October-December 2020). The 3 groups represent, respectively: the 1st pandemic wave proclamation of national lockdown from 9 March to 18 May; the summer pandemic remission; the 2nd pandemic wave with partial restrictions on circulation and commercial activities. Clinical and surgical records of SUE population among these 3 periods (March-May; June-August; October-December) of both 2020 and 2019 were analyzed and compared. MAIN OUTCOME MEASURES: the overall number of admissions and surgical rates for SUEs in the study periods were chosen as primary outcomes. The same outcomes were analysed for the most represented diagnoses in the SUEs population: diverticulitis, intestinal obstruction, appendicitis, cholecystitis, gastrointestinal (GI) perforations, pancreatitis, traumas. To assess the degree of clinical picture severity, variables coming from the hospital discharging charts, commonly associated to worst outcomes in term of mortality and morbidity, such as age, length of hospital stay, DRG weight, and patients not discharged at home were extrapolated from the electronic database. A numerical weight was then assigned to each variable, obtaining a scoring system from 0 to 15 (severity index). RESULTS: the number of admissions for SUEs in the studied period showed a sinusoidal trend, with a dramatic decrease in phase I and III (-46.6% and -31.6%, respectively). This trend was also observed even by stratifying admissions for the most frequent pathologies, except for gastrointestinal perforations and pancreatitis. The surgical rate among hospitalised patients for SUEs was 35.2% in phase, significantly higher than that of 2019 (25.6%). Considering the most frequent diagnoses individually, some had a progressive increase in the surgical rate in phases I and II (diverticulitis, bowel obstructions, cholecystitis), others showed an initial decrease and then settled on values ​​not far from those of 2019 (GI perforations and appendicitis), others again had an initial significant increase and then gradually returned to values ​​similar to those of 2019 in phase III (traumas). The mean patients age was significantly higher in phase I than in 2019 (p-value <0.001) and in phase II (p-value <0.05). Consistently with the trend of the number of urgent admissions, even the severity index calculated on the SUEs population showed a sinusoidal trend with and evident increase during the two pandemic waves. CONCLUSIONS: the effect of the COVID-19 pandemic on SUEs was mainly indirect, manifesting itself with a significant reduction in surgical admissions, particularly in phases I and III. Conversely, in the same phases, the surgical rate showed a significant increase compared to 2019. The stratified analysis confirmed these findings for the most frequent diagnoses except for GI perforations and pancreatitis. The clinical pictures were more severe in the two pandemic waves than in the reference period of 2019. Although with a slight numerical attenuation, in general, the second pandemic wave confirmed the first one findings.

Prevalence of SARS-CoV-2 (Covid-19) in Italians and in immigrants in an area of Northern Italy (Reggio Emilia).

It has been hypothesized that bacille Calmette-Guerin (BCG), the anti-tuberculosis vaccine, can be protective against Covid-19. Using data of performed swabs and RT-PCR results for SARS-CoV-2 in the Reggio Emilia province (Emilia-Romagna Region, Northern Italy) from March 6th to March 26th, 2020, we computed age, gender, and place of birth (Italy or abroad) specific risk of being tested, prevalence of positive tests, and probability of testing positive given that a swab has been taken during the epidemic peak. We report that immigrants resident in Reggio Emilia province, mostly coming from Countries with high BCG vaccination coverage, and Italians had a similar prevalence of infection (odds ratio - OR 0.99; 95%CI 0.82-1.20) and similar probability of being tested (OR 0.93; 95%CI 0.81-1.10). Our data do not support the hypothesis that immigrants from Countries where BCG vaccination is recommended have a lower risk of Covid-19 infection.