The relationship between compartment models and their stochastic counterparts:A comparative study with examples of the COVID-19 epidemic modeling

Deterministic compartment models(CMs)and stochastic models,including stochastic CMs and agent-based models,are widely utilized in epidemic modeling.However,the relationship between CMs and their corresponding stochastic models is not well understood.The present study aimed to address this gap by conducting a comparative study using the susceptible,exposed,infectious,and recovered(SEIR)model and its extended CMs from the coronavirus disease 2019 modeling literature.We demonstrated the equivalence of the numerical solution of CMs using the Euler scheme and their stochastic counterparts through theoretical analysis and simulations.Based on this equivalence,we proposed an efficient model calibration method that could replicate the exact solution of CMs in the corresponding stochastic models through parameter adjustment.The advancement in calibration techniques enhanced the accuracy of stochastic modeling in capturing the dynamics of epidemics.However,it should be noted that discrete-time stochastic models cannot perfectly reproduce the exact solution of continuous-time CMs.Additionally,we proposed a new stochastic compartment and agent mixed model as an alternative to agent-based models for large-scale population simulations with a limited number of agents.This model offered a balance between computational efficiency and accuracy.The results of this research contributed to the comparison and unification of deterministic CMs and stochastic models in epidemic modeling.Furthermore,the results had implications for the development of hybrid models that integrated the strengths of both frameworks.Overall,the present study has provided valuable epidemic modeling techniques and their practical applications for understanding and controlling the spread of infectious diseases.

A Comparative Study of Myocardial Damage Caused by Novel Coronavirus Infection and Influenza A Virus Infection in Children during the COVID-19 Epidemic Period

Objective: To explore the comparative study of myocardial damage in children infected with COVID-19 and influenza A virus during the COVID-19 pandemic. Method: Retrospective analysis of myocardial injury caused by COVID-19 infection and influenza A virus infection in children during the COVID-19 from October 2022 to May 2023, including 106 cases of COVID-19 infection, that is, the COVID-19 group;And 164 cases of influenza A virus infection, namely, H1N1 group;Two groups were tested for various indicators of myocardial enzyme spectrum, and the situation of myocardial injury was compared between the two groups. Result: In the enrolled cases, there was no statistically significant difference in the prevalence rate of men and women in the COVID-19 group (P > 0.05);There was no statistically significant difference in the average age between men and women (P > 0.05);The comparison of the incidence rates between males and females in the H1N1 group showed a statistically significant difference (P 0.05);There was no statistically significant difference in the average age between the two groups of girls (P > 0.05). A comparison between two groups of various indicators of myocardial enzyme spectra showed that the results of AST, -HBDH and LDH were statistically significant (P 0.05). Conclusion: Both COVID-19 infection and influenza A virus infection in children have different degrees of myocardial damage, but COVID-19 infection causes more myocardial damage than influenza A virus infection, and influenza A virus is more prone to myocardial infarction, which deserves our attention.

Influence of the continuing COVID-19 epidemic on sleep quality and psychological status of healthcare workers in private institutions

BACKGROUND On January 22,2020,Macao reported its first case of coronavirus disease 2019(COVID-19)infection.By August 2021,the situation had escalated into a crisis of community transmission.In response,the government launched a recruitment campaign seeking assistance and services of healthcare workers(HCWs)from the private sector throughout Macao.These participants faced concerns about their own health and that of their families,as well as the responsibility of maintaining public health and wellness.This study aims to determine whether the ongoing epidemic has caused them physical and psychological distress.AIM To examine the influence of COVID-19 on the sleep quality and psychological status of HCWs in private institutions in Macao during the pandemic.METHODS Data were collected from December 2020 to January 2022.Two consecutive surveys were conducted.The Pittsburgh Sleep Quality Index(PSQI)scale,Self-Rating Anxiety Scale(SAS),and Self-Rating Depression Scale(SDS)were employed as investigation tools.RESULTS In the first-stage survey,32%of HCWs experienced a sleep disorder,compared to 28.45%in the second-stage survey.A total of 31.25%of HCWs in the first-stage survey and 28.03%in the second had varying degrees of anxiety.A total of 50.00%of HCWs in the first-stage survey and 50.63%in the second experienced varying degrees of depression.No difference in PSQI scores,SAS scores,or SDS scores were observed between the two surveys,indicating that the COVID-19 epidemic influenced the sleep quality and psychological status of HCWs.The negative influence persisted over both periods but did not increase remarkably for more than a year.However,a positive correlation was observed between the PSQI,SAS,and SDS scores(r=0.428-0.775,P<0.01),indicating that when one of these states deteriorated,the other two tended to deteriorate as well.CONCLUSION The sleep quality,anxiety,and depression of HCWs in private institution in Macao were affected by the COVID-19 epidemic.While these factors did not deteriorate significantly,the negative effects persisted for a year and remained noteworthy.

Relationships among Sedentary Time,Electronic Product Addiction,and Depression in Adolescents during the COVID-19 Epidemic:A Cross-Lagged Study

Objective:This study was conducted to explore the relationships among sedentary behavior(SB),electronic product addiction(EPA),and depression(D)in adolescents during the COVID-19 epidemic.Methods:A total of 604 adolescents(including 309 girls and 295 boys aged 12-18)were selected from Qufu City,Shandong Province,China for three rounds of investigation.The model was constructed using AMOS 23.0 software,and cross-lagged analysis was conducted.Results:SB at T1 can significantly positively predict SB and EPA at T2(p<0.05).EPA at T1 can significantly positively predict SB and D at T2(p<0.05).Physical activity level and SB at T2 can significantly predict SB and EPA at T3(p<0.05).EPA at T2 can significantly predict SB,EPA,and D at T3(p<0.05).Conclusions:SB and EPA are predictive factors for D.Moreover,SB can significantly positively predict D and indirectly predict D through the mediating effect of EPA.

COVID-19/Tuberculosis Co-Infection at the Epidemic Treatment Center (ETC) of Saint-Louis (Senegal): About 9 Cases

Introduction: COVID-19 is a global public health emergency that can cause acute respiratory distress syndrome. In countries where tuberculosis (TB) is endemic, coinfection of COVID-19 and TB is often encountered, which increases the risk of developing severe forms of COVID-19. Objectives: The aim of this study was to determine the prevalence of COVID-19/TB coinfection at the Epidemic treatment center (ETC) in Saint-Louis (Senegal) and to describe the epidemiological, clinical, paraclinical, and outcome profile of co-infected patients. Patients and Methods: This is a retrospective, cross-sectional, descriptive cohort study based on the records of COVID-19/ TB co-infected patients who were hospitalized at the ETC in Saint-Louis (Senegal) over an 18-month period from March 2020 to September 2021. Results: Out of a total of 454 hospitalizations, we collected records of 9 patients co-infected with COVID-19/TB, resulting in a prevalence of 2%. The study included patients with a median age of 34 years (range: 10-86 years), with a male predominance (7 cases) and a sex ratio of 3.5. The majority of patients (88.9%) had severe forms of COVID-19. Dyspnea and cough were reported in all patients (100%). Pulmonary TB was the most frequent localization, with 9 cases. The diagnosis of COVID-19 was confirmed by nasopharyngeal PCR in all patients (100%). Bacilloscopy was positive in 3 out of 5 cases. One patient tested positive for GeneXpert? MTB/RIF without rifampicin resistance. All patients were prescribed the hydroxychloroquine-azithromycin combination and anti-tuberculosis treatment. Out of the nine patients, four recovered (44.4%) and five died (55.5%). Conclusion: COVID-19/TB coinfection had a low prevalence in our cohort, but was associated with a high mortality due to the frequent occurrence of severe forms of the disease.

Practice of Infection Prevention and Control Strategies in Risk Departments during the COVID-19 Epidemic

Objective: To explore the practice and application of infection prevention and control strategies in risk departments during the COVID-19 epidemic, and to formulate the infection prevention and control measures to provide advice and guidance in risk departments. Methods: According to the latest plan of diagnosis and treatment, prevention and control issued by the National Health Commission, expert advice and consensus, combined with the actual situation in our hospital, a series of infection prevention and control measures of COVID-19 in risk department was formulated. Results: During the epidemic period, the prevention and control measures of nine risk departments including emergency operation, anesthesiology, endoscopy center, blood purification center, otolaryngology, stomatology, medical imaging department, medical cosmetology department and pulmonary function room were established from six aspects, including pre-examination and screening, medical technology control, personnel management, personal protection, environmental disinfection, medical waste disposal, etc. Conclusion: During the epidemic period, the infection prevention and control strategy of risk departments is one of the key links to control the spread of the epidemic, and risk departments must pay attention to and strictly implement various infection prevention and control measures.

Numerical Simulation and Parameter Estimation of Fractional-Order Dynamic Epidemic Model for COVID-19

The outbreak of COVID-19 in 2019 resulted in numerous infections and deaths. In order to better study the transmission of COVID-19, this article adopts an improved fractional-order SIR model. Firstly, the properties of the model are studied, including the feasible domain and bounded solutions of the system. Secondly, the stability of the system is discussed, among other things. Then, the GMMP method is introduced to obtain numerical solutions for the COVID-19 system and combined with the improved MH-NMSS-PSO parameter estimation method to fit the real data of Delhi, India from April 1, 2020 to June 30, 2020. The results show that the fitting effect is quite ideal. Finally, long-term predictions were made on the number of infections. We accurately estimate that the peak number of infections in Delhi, India, can reach around 2.1 million. This paper also compares the fitting performance of the integer-order COVID-19 model and the fractional-order COVID-19 model using the real data from Delhi. The results indicate that the fractional-order model with different orders, as we proposed, performs the best.

A Stochastic Model to Assess the Epidemiological Impact of Vaccine Booster Doses on COVID-19 and Viral Hepatitis B Co-Dynamics with Real Data

A patient co-infected with COVID-19 and viral hepatitis B can be atmore risk of severe complications than the one infected with a single infection.This study develops a comprehensive stochastic model to assess the epidemiological impact of vaccine booster doses on the co-dynamics of viral hepatitis B and COVID-19.The model is fitted to real COVID-19 data from Pakistan.The proposed model incorporates logistic growth and saturated incidence functions.Rigorous analyses using the tools of stochastic calculus,are performed to study appropriate conditions for the existence of unique global solutions,stationary distribution in the sense of ergodicity and disease extinction.The stochastic threshold estimated from the data fitting is given by:R_(0)^(S)=3.0651.Numerical assessments are implemented to illustrate the impact of double-dose vaccination and saturated incidence functions on the dynamics of both diseases.The effects of stochastic white noise intensities are also highlighted.

Epidemiological and Clinical Profile of Children Exposed to SARS-CoV-2 at the COVID-19 Treatment Center at the ISIRO Hospital and WATSA in the Democratic Republic of the Congo

Introduction: COVID-19, an emerging infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), typically presents with mild clinical manifestations in pediatric populations. As in many other regions of the Democratic Republic of the Congo (DRC), the COVID-19 pandemic affected children in Haut-Uélé, a province bordering South Sudan and Uganda. This study aimed to describe the epidemiological profile of COVID-19 in pediatric population in this area. Materials and Methods: This descriptive cross-sectional study was conducted over a 6-month period from August 1, 2021 to February 7, 2022. It included all patients aged 0 to 19 years with confirmed COVID-19 using RT-PCR and managed at the COVID-19 Treatment Centers (CTCO) in ISIRO and WATSA. Data were collected from patient records supplemented by the dataset from the service of Health Information System (SNIS) and the Epidemiological Surveillance Commission of the Provincial Health Division (DPS). Epidemiological and clinical profiles were analyzed. All statistical analyses were performed using SPSS software, Version 18. Results: During the 4th wave of the pandemic, 5 out of 13 health zones in Haut-Uélé province were affected, with a total of 569 recorded cases;45 of them were children aged 0 to 19 years (7.9%). Asymptomatic cases accounted for 33.3% (15 cases). The mean age was 9.88 ± 5.49 years, with the most affected age group being 10 - 14 years (44.45%). There was a predominance of males (73.3%), with a male-to-female sex ratio of 2.75. Half of the patients (53.3%) were from Watsa Health Zone. A seasonal peak was observed between December and January. Comorbidities were present in 10% of infected patients, and nearly half of participants were contacts of infected individuals. The primary reasons for admission were fever (66.66%), followed by rhinorrhea (57.77%) and cough (31.11%). All patients responded favorably to treatment. Conclusion: The proportion of pediatric COVID-19 cases at the CTCO centers in Haut-Uélé was low, with adolescent males being the most affected group. More than half of the cases were asymptomatic. The most common reasons for consultation were fever, rhinorrhea, and cough.

Historical review and reflections on the participation of acupuncture and moxibustion in the treatment of epidemics in the People’s Republic of China (from 1950 until now)

Since the establishment of the People’s Republic of China, both the Communist Party and the government have placed great emphasis on the advancement of traditional Chinese medicine. Acupuncture and moxibustion have been actively involved in combating major epidemics such as malaria, schistosomiasis, and COVID-19. This article conducts a historical review of these three significant cases to elucidate how the acupuncture community has effectively utilized its unique advantages and characteristics through theoretical discussions, clinical practices, experimental research, as well as receiving administrative leadership and political support from the Communist Party of China and government. We provide an objective evaluation of their effectiveness while summarizing historical experiences to serve as a reference for future utilization of acupuncture and moxibustion therapy in epidemic relief efforts. Additionally, propose four suggestions: strengthening Party leadership and enhancing political support;timely summarization of experiences to establish programs and systems;deepening scientific research by integrating experimental findings with clinical practice;focusing on public awareness campaigns and education to solidify grassroots foundations.

Risk Factors for COVID-19 Related Death during the First Three Waves of the Pandemic in an Epidemic Treatment Center at Dakar, Senegal

Introduction-Objective: COVID-19 is a highly transmissible but often mild viral infection. However, some patients can present severe COVID-19 and subsequently die. The aim of the present study was to assess the risk factors for COVID-19 related death during the first three waves of the disease at the Epidemic Treatment Center (ETC) of Dakar Principal Hospital (DPH). Method: We conducted a descriptive and analytical perspective survival study from April 4, 2020 to September 25, 2021, including adult patients with COVID-19, hospitalized at the ETC of DPH. Log Rank test and multivariate Cox model were performed to identify risk factors for death. Results: We included 556 COVID-19 patients with mean age of 57 ± 17 years and a male-to-female ratio of 1.26. The number of deaths during one month of follow-up was 41, representing a cumulative risk of 7.4%. The log Rank test showed that being from the third wave (p = 0.0056), advanced age (p = 0.00098), presence of at least one comorbidity (p = 0.034), High blood pressure (p = 0.024), d-dimer level ≥ 1000 IU/L (p Conclusion: Our study showed that elderly and third-wave of COVID-19 patients were more at risk to die. Knowledge of risk factors for COVID-19 related death could improve the prognosis of these patients.

Comparison of ocular trauma between normalized and the COVID-19 epidemic periods in China:a multi-center cross-sectional study

AIM:To compare the feature of ocular trauma between normalized period and the COVID-19 epidemic period in China,and to provide a profile for eye injuries in special times in future.METHODS:This is a multi-center cross-sectional study with 30 participated hospitals involving the China Ocular Trauma Society members.All hospitalized cases who visited the Ophthalmology Department in participated hospitals with eye injuries during the normalized period(2019)and the COVID-19 epidemic period(2020)were included in this study.Demographic characteristic of cases,date of injury,sites and types of injury were collected.RESULTS:This study involved 13525(61 cases with both eyes)injured cases.There were 7269(53.74%)eyeinjured cases and 6256(46.26%)eye-injured cases in 2019 and 2020 separately.Compared with 2019,the incidence of ocular trauma in retirees,housewives and unemployed increased with year-on-year of 4.96%,102.67%,and 11.64%among all occupations.In 2020,the incidence of eye injuries decreased in all injury sites except for an increase in home(30.29%year-on-year).The incidence of mechanical eye injuries decreased,while that of nonmechanical eye injuries(chemical/thermal/radiation)increased(47.45%year-on-year).There were 255(3.51%,255/7269)and 376(6.01%,376/6256)non-mechanical injured cases in 2019 and 2020(Pearson Chi^(2)=47.33,P<0.001)separately.CONCLUSION:During the COVID-19 epidemic period,the total cases of ocular trauma decrease but the proportion of non-mechanical ocular trauma increase.Penetrating is still the highest proportion among all types of mechanical ocular trauma.From a preventive point of view,protection for retired persons,housewives and unemployed persons should be improved during public health events period.

Study on Influence of the COVID-19 Epidemic on Tourism Consumption Structure in Shandong Province

At the end of 2019,the sudden outbreak of the COVID-19 epidemic brought great challenges to the world,and China's tourism industry suffered an unprecedented heavy blow.Exploring the impact of the epidemic on tourism consumption structure has become a research focus in the post-epidemic era.In this study,based on Shandong Tourism Statistics Handbook from 2018 to 2020,taking Shandong Province as an example,the changes of total tourism revenue and tourism consumption structure in Shandong Province before and after the COVID-19 epidemic were compared to predict the development of tourism in Shandong Province in the post-epidemic era and find out existing problems,and optimization paths were put forward for the development of tourism in Shandong Province in the post-epidemic era.

Comparison of Two Molecular Diagnostic Tests for COVID-19: Abbott RealTime SARS-CoV-2 and Allplex™2019-nCoV, in the Epidemic Context in Senegal

Background: The persistence of the rapid spread of the COVID-19 pandemic is linked to the appearance of several variants of SARS-CoV2 with an impact on biological diagnosis, treatment and vaccination. The United States Food and Drug Administration (FDA) has granted several SARS-CoV-2 detection tests Emergency Use Authorization (EUA) for diagnosis and better epidemiological surveillance. Thus, multiple RT-PCR tests have been developed and brought to market in order to meet the urgent need for the diagnosis of COVID-19. However, comparative data between these tests in clinical laboratories are scarcely available to assess their performance. Objective: To compare two molecular methods for detecting SARS-CoV-2: the RT-PCR, Allplex™2019-nCoV tests on CFX96 Bio-Rad and the Abbott m2000sp/rt RealTime SARS-CoV-2. Materials and Methods: Nasopharyngeal and oropharyngeal swabs were taken from patients to diagnose SARS-CoV-2 infection. For each sample, we searched for the virus with two different RT-PCR tests: 1) first on Abbott m2000 SARS-CoV-2 targeting the N and RdRp genes, 2) then on Allplex™2019-nCoV Assay looking for the E, N and RdRp genes. Results: Percentages of the agreement were calculated. A total of 100 samples that tested negative and 90 positives on Abbott m2000 SARS-CoV-2 were retested on Allplex™2019-nCoV. Overall agreement was 74.74% on all samples. The specific agreement was 84% and 64.4% respectively for negative and positive samples with the RealTime SARS-CoV-2 test. A positive correlation (r2 = 0.63;p Conclusion: Our results showed good overall agreement between RT-PCR, Allplex™2019-nCoV and Abbott RealTime SARS-CoV-2 tests in the diagnosis of COVID-19. As the concordance is low for small viremias, the RT-PCR Allplex™2019-nCoV Assay would be better indicated during the acute and symptomatic phase of the disease.

Lessons for Epidemic Emergency Policy: A Scoping Review of Ebola and COVID-19 Pandemics in Africa

Ebola Virus Disease (EVD) outbreaks in Central and West Africa 2013-2020 were the deadliest, most intense and most widely spread. On top of this, the novel Corona Virus Disease 2019 (COVID-19) has given us all a new experience. It is imperative to draw lessons to prepare for future disease outbreaks. This was a scoping review, a method that allows the assessment of emerging evidence. The objectives of the review were to 1) describe the manifestation of the epidemics;2) elaborate on the social and economic effects;3) characterize the responses;and 4) draw lessons. The findings show that Ebola risk is permanent and even increasing. The next COVID-19 epidemic is around the corner. For Africa, the situation has been made worse by poverty and fragility of institutions. Africa’s incapacity to manufacture its own vaccines, medicines, diagnostics and protective wear has been detrimental in the management of epidemics. The need for personal and home hygiene has been emphatically brought to attention. The trust in the government and other agencies is the cornerstone in the management of emergencies. The use of armed soldiers should be discouraged, for they scare people from seeking help. It is much better to use trusted local leaders instead of strangers during pandemic emergencies. Understanding the local politics without getting involved in them is essential. It is critical to understand community and individual perception of the risk of the disease in question. Often neglected is the psycho-social aspect, which should be planned early. The science of response measures ought to be explained simply and transparently, as part of risk communication. Emergency funds should be raised, and made easy and quick to disburse. Mechanisms of sharing health technologies and knowledge need to be devised under the UN. People centeredness ought to guide the conduct of trans-border movements and all transactions during pandemics.

Sociopsychological impact factors of depression patients during the COVID-19 epidemic period

Objective:To investigate the impact factors of the COVID-19 epidemic on the mental health of patients with depression.Methods:The relevant data of 242 residents aged 18-50 years in a certain area were collected,118 patients and 124 healthy people were analyzed by general information questionnaire,the PsychoSocial Index(PSI)questionnaire,Social Support Rating Scale(SSRS)and Symptom Checklist 90(SCL-90).Compare the differences in social and psychological factors between the two groups.Then use logistic regression to evaluate the social and psychological influencing factors of depression patients during the epidemic.Results:Two results of logistic regression analysis showed that marital status,occupational status,abnormal pathological behavior,and utilization of support were still significantly associated with depression.Compared to working,unemployed/unemployed/retired,students are closely related to depression,followed by abnormal pathological behavior and utilization of support.Conclusion:Under the epidemic,depression groups lacking social relationships should actively pay attention to their mental health status and comprehensively enhance their social and psychological support.To avoid the exacerbation of psychological and psychological symptoms caused by the epidemic.

Gestational diabetes mellitus and COVID-19:The epidemic during the pandemic

During the global coronavirus disease 2019(COVID-19)pandemic,people worldwide have experienced an unprecedented rise in psychological distress and anxiety.In addition to this challenging situation,the prevalence of diabetes mellitus(DM),a hidden epidemic,has been steadily increasing in recent years.Lower-middle-income countries have faced significant barriers in providing accessible prenatal care and promoting a healthy diet for pregnant women,and the pandemic has made these challenges even more difficult to overcome.Pregnant women are at a higher risk of developing complications such as hypertension,preeclampsia,and gestational diabetes,all of which can have adverse implications for both maternal and fetal health.The occurrence of gestational diabetes has been on the rise,and it is possible that the pandemic has worsened its prevalence.Although data is limited,studies conducted in Italy and Canada suggest that the pandemic has had an impact on gestational diabetes rates,especially among women in their first trimester of pregnancy.The significant disruptions to daily routines caused by the pandemic,such as limited exercise options,indicate a possible link between COVID-19 and an increased likelihood of experiencing higher levels of weight gain during pregnancy.Notably,individuals in the United States with singleton pregnancies are at a significantly higher risk of excessive gestational weight gain,making this association particularly important to consider.Although comprehensive data is currently lacking,it is important for clinical researchers to explore the possibility of establishing correlations between the stress experienced during the pandemic,its consequences such as gestational gain weight,and the increasing incidence of gestational DM.This knowledge would contribute to better preventive measures and support for pregnant individuals during challenging times.

Risk Factors for Severity and Mortality of Patients Hospitalized for COVID-19 during the 3rd Wave of the Epidemic-Sao Tome and Principe

Rationale: In the literature, some risk factors for severity and mortality from COVID-19 have been indicated. However, these factors can change, depending on the characteristics of the population and health services. In this sense, longitudinal studies can be useful for understanding local realities and subsidizing health actions based on these realities. Objective: To analyze the risk factors for severity and death in hospitalized patients with COVID-19. Methods: A retrospective cohort of patients with COVID-19 hospitalized from August 1 to October 16, 2021 (3rd wave of the pandemic), notified by the Department of Epidemiological Surveillance of Sao Tome and Principe. We employed measures of strength of associations for the analysis of exposure risk factors. Results: We analyzed 110 hospitalized patients (31.8% severe-critical and 68.2% non-severe). The risk factors for severe forms of COVID-19 were: being aged ≥60 years (RR = 3.3), being male (RR = 2), having comorbidities (RR = 2) and the risk increases to 10-fold for multicomorbidities, with emphasis on obesity, neoplasia, skin-muscle-surgical infection, dementia and to some degree CVD. 62.9% of patients with severe forms of the disease were not vaccinated. Risk factors for death among hospitalized and severe/critical cases, respectively, were having comorbidities (RR = 8 and 2.4) multicomorbidities (RR = 10 and 2.8 for those with 2 comorbidities and RR = 33.3 and 4 for those with 3 or 4 comorbidities), especially diabetes, dementia, neoplasia, cutaneous-muscular infection, and obesity. Although CVD was not associated with risk factors for death, these were the most frequently found among the severely hospitalized and deaths. In addition, important risk factors associated with death were not using corticoids (RR = 3.3, 230-fold risk) and not using anticoagulants-heparin (RR = 1.3, 30% risk) more compared to the severe cases that did use them. Most of the patients who died (63.2%) were not vaccinated. Moreover, having only 1 dose of the vaccine was a risk factor 1.9 times more for death among all hospitalized patients, but in the severe cases, there was no association between the variable vaccination and death. Among those hospitalized with 2 doses, it was a 0.5-fold protective factor among those hospitalized. The Delta variant of Sarscov-2 was the one found among severe cases and deaths investigated by genetic sequencing, with more exuberant clinical features compared to the other 2 previous vaccinations. Conclusion: Being elderly, male and presenting comorbidities, mainly multicomorbidities were the main characteristics associated with severity of COVID-19. On the other hand, comorbidities, and even worse, multicomorbidities, hospitalization for respiratory failure, lowered level of consciousness, no use of corticoid and no use of anticoagulation in critically ill patients, and not having at least 2 doses of vaccine for covid-19, were characteristics associated with death by COVID-19. These results will help inform healthcare providers so that the best interventions can be implemented to improve outcomes for patients with COVID-19. Public health interventions must be carefully tailored and implemented in these susceptible groups to reduce the risk of mortality in patients with COVID-19 and then the risk of major complications. Intensive and regular follow-up is needed to detect early occurrences of clinical conditions.

A Study on Organizational Commitment,Work Motivation,and Job Performance After the COVID-19 Epidemic in Taiwan-The Mediating Effects of Work Motivation and Organizational Communication

The purpose of this study is to explore the correlation between organizational commitment and job performance among employees in Taiwan Residents companies after the COVID-19 epidemic,and to use work motivation and organizational communication as intermediary variables to further understand the interaction between them.Using hierarchical multiple regression analysis and bootstrap method to analyze,the research results show that organizational commitment has a significant positive impact on work motivation and work performance,and work motivation also has a significant positive impact on work performance.In addition,organizational communication has a mediating effect on organizational commitment and work motivation,and work motivation also has a mediating effect on organizational commitment and work machine performance.The results of this study hope to understand the working conditions of organizations and employees after the COVID-19 epidemic,and provide relevant business operators with follow-up references for their operations.

Role of children in the Bulgarian COVID-19 epidemic:A mathematical model study

BACKGROUND The coronavirus disease 2019(COVID-19)pandemic affects all aspects of our lives,including children.With the advancement of the pandemic,children under five years old are at increased risk of hospitalization relative to other age groups.This makes it paramount that we develop tools to address the two critical aspects of preserving children's health–new treatment protocols and new predictive models.For those purposes,we need to understand better the effects of COVID-19 on children,and we need to be able to predict the number of affected children as a proportion of the number of infected children.This is why our research focuses on clinical and epidemiological pictures of children with heart damage post-COVID,as a part of the general picture of post-COVID among this age group.AIM To demonstrate the role of children in the COVID-19 spread in Bulgaria and to test the hypothesis that there are no secondary transmissions in schools and from children to adults.METHODS Our modeling and data show with high probability that in Bulgaria,with our current measures,vaccination strategy and contact structure,the pandemic is driven by the children and their contacts in school.RESULTS This makes it paramount that we develop tools to address the two critical aspects of preserving children's health–new treatment protocols and new predictive models.For those purposes,we need to understand better the effects of COVID-19 on children,and we need to be able to predict the number of affected children as a proportion of the number of infected children.This is why our research focuses on clinical and epidemiological pictures of children with heart damage post-COVID,as a part of the general picture of post-Covid among this age group.CONCLUSION Our modeling rejects that hypothesis,and the epidemiological data supports that.We used epidemiological data to support the validity of our modeling.The first summer wave in 2020 from the listed here school proms endorse the idea of transmissions from students to teachers.