Nonalcoholic fatty liver disease and COVID-19:An epidemic that begets pandemic

Coronavirus disease 2019(COVID-19)caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)has become a global pandemic,affecting all the individuals across the planet.COVID-19 has gained significant attention due to its high prevalence among individuals with diabetes,nonalcoholic fatty liver disease(NAFLD),and metabolic syndrome.NAFLD is the hepatic manifestation of metabolic syndrome and can be associated with a high risk of developing type 2 diabetes.The association of COVID-19 and NAFLD has also gained more attention because NAFLD is highly associated with the epidemic of obesity.NAFLD is a potential risk factor for SARS-CoV-2 infection and severe COVID-19,independent of metabolic syndrome.Importantly,it is not yet clear whether the epidemics of obesity and NAFLD have perpetuated the current pandemic of COVID-19.Further research is urgently needed to assess the following:(1)Whether NAFLD is a high risk factor for SARS-CoV-2 infection;(2)Whether NAFLD is associated with the severe form of COVID-19;and(3)Whether the presence of NAFLD can explain the racial variation in the morbidity and mortality associated with COVID-19.This review summarizes the interactions between COVID-19 and NAFLD,mechanism of liver injury by COVID-19,and effect of lockdown due to COVID-19 on patients with NAFLD.

The COVID-19 Pandemic in Senegal: Experience of an Internal Medicine Department as an Epidemic Treatment Center

Introduction: The COVID-19 pandemic has turned the global health system upside down. Senegal recorded its first case on 2 March 2020. As part of its control strategy, the internal medicine department was set up as an epidemic treatment center (ETC). We report on our experience in the management of patients hospitalized in the said center. Material and Methods: Retrospective and descriptive study with analytical aim carried out at the ETC of the CHU Le Dantec of Dakar during the period from 29 April to 30 October 2020 (1st wave) then from 30 December 2020 to 30 April 2021 (2nd wave). All hospitalized patients who tested positive for RT-PCR were included. Epidemiological, clinical, paraclinical and evolutionary data were collected from a pre-established survey form and analysed using the software. Results: Five hundred and seventy files were collected: 379 patients (66%) in the 1st wave and 191 patients (34%) in the 2nd wave. There were 312 men and 258 women, i.e. a sex ratio of 1.22. The median age was 56 years [1.5 - 100 years]. Two thirds of the patients (66%) were over 50 years of age and 223 patients (39.1%) were over 65 years of age. Community transmission was reported in 72% of cases. The average length of hospital stay was 10 days [1 - 32]. Clinically, the mild form predominated (50.9%);the severe and critical forms were 32.6%. Comorbidity was noted in 68% of patients. The different comorbidities were: hypertension (36.1%), diabetes (28.2%), advanced CKD (9.8%). The case fatality rate was 17.2% with a mean age of 70 years. Conclusion: COVID-19 is responsible for respiratory but also systemic manifestations. This 3rd pandemic particularly affects vulnerable people with a significant morbidity and mortality, thus requiring the implementation of standardized CTE with multidisciplinary teams in the control strategies.

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.

Construction of a Computational Scheme for the Fuzzy HIV/AIDS Epidemic Model with a Nonlinear Saturated Incidence Rate

This work aimed to construct an epidemic model with fuzzy parameters.Since the classical epidemic model doesnot elaborate on the successful interaction of susceptible and infective people,the constructed fuzzy epidemicmodel discusses the more detailed versions of the interactions between infective and susceptible people.Thenext-generation matrix approach is employed to find the reproduction number of a deterministic model.Thesensitivity analysis and local stability analysis of the systemare also provided.For solving the fuzzy epidemic model,a numerical scheme is constructed which consists of three time levels.The numerical scheme has an advantage overthe existing forward Euler scheme for determining the conditions of getting the positive solution.The establishedscheme also has an advantage over existing non-standard finite difference methods in terms of order of accuracy.The stability of the scheme for the considered fuzzy model is also provided.From the plotted results,it can beobserved that susceptible people decay by rising interaction parameters.

The COVID-19 Pandemic: Present or Gone, Where Do Adolescents Stand?

Introduction: The initial global response to the SARS-CoV-2 pandemic focused on adults as adolescents mainly had subclinical infections. Adolescents, however, could transmit the virus and hence be a risk to the elderly, young children and immunocompromised. Adolescents are also at risk of long-term complications. This study sought to determine the prevalence of antibodies to SARS-CoV-2 among adolescents in Southern Nigeria, and to determine the association between SARS-CoV-2 seropositivity and age, gender, socioeconomic class, school type and nutritional status. Methods: This descriptive cross-sectional study was carried out in Edo state of southern Nigeria. We recruited 270 in-school adolescents aged 10 - 19 years. A WHO-adapted, pre-tested questionnaire was used to obtain data on participant history and risk factors. The questionnaire was interviewer-administered. Adolescents whose parents gave consent were recruited through a multi-stage randomized sampling method. Capillary blood for the assay was collected and analysed using a lateral-flow immunoassay device. The primary outcome was serostatus of the study. The positive predictors of serostatus were finally determined using a multiple logistics regression model. Statistical significance was set at p Results: The seroprevalence of SARS-CoV-2 was 45.9%. IgM antibodies were found in 5.6% of participants. Older adolescents had higher seropositivity rates than younger adolescents (2 = 8.101, p = 0.017). There was no association between gender and seropositivity. Adolescents in public schools were more likely to be seropositive than those in private schools (2 = 25.242, p = 0.001). A higher seroprevalence was noticed among study participants in the lower socioeconomic class (x2 = 6.928, p = 0.031), and those in overcrowded classes. (2 = 79.303, p = 0.001). Conclusion: This study showed a high seroprevalence of SARS-CoV-2 among in-school adolescents. Behavioural change communication on SARS-CoV-2, vaccination of adolescents, and standardization of classrooms are recommended.

Risk and Protective Factors Associated with Depression and Anxiety among Pregnant Women during the COVID-19 Pandemic

Background: The coronavirus disease (COVID-19) pandemic has impacted perinatal women’s mental health. However, protective factors associated with depression among pregnant Japanese women during the pandemic have not been reported. Purpose: The present study investigated the risk and protective factors associated with depression and anxiety among pregnant women during the COVID-19 pandemic. Methods: An online questionnaire was administered to 157 pregnant women between October 2022 and May 2023 at two general hospitals in Japan. The Japanese versions of the Patient Health Questionnaire-9 (PHQ-9) and General Anxiety Disorder-7 (GAD-7) were used to assess symptoms of depression and anxiety. The χ2 test or Fisher’s exact test and multivariate logistic regression model were used to examine factors associated with depression and anxiety among pregnant women. Results: Overall, 47.1% and 35.7% of the pregnant women reported depressive and anxiety symptoms, respectively. A “history of mental illness” was a risk factor for depression and anxiety among pregnant women during the COVID-19 pandemic. Additionally, unmarried status was a risk factor for anxiety among pregnant women, whereas outdoor and indoor exercises were protective factors against depression and anxiety, respectively. Conclusions: Exercise may have protected pregnant women from depression and anxiety during the COVID-19 pandemic. Encouraging exercise may help maintain the mental health of pregnant women who do not have exercise restrictions.

Delay Times and Clinical Outcomes in Acute Myocardial Infarction: Comparison of Periods before and during the COVID-19 Pandemic—Myocardial Infarction and the Pandemic

Introduction: At the beginning of the COVID-19 pandemic, a drop in the number of patients treated for cardiac emergencies raised concern about cardiovascular mortality in that period. An increase in care delay for patients with ST-segment elevation myocardial infarction (STEMI) may have affected clinical outcomes. Objectives: To analyze delay times and clinical outcomes of patients with STEMI undergoing primary percutaneous coronary intervention (PPCI), before and during the COVID-19 pandemic. Methods: Retrospective observational study that included patients with STEMI undergoing PPCI from December 2018 to July 2021. The COVID-19 pandemic cases were divided into two groups: pandemic I—from March to August 2020;and pandemic II—from September 2020 to July 2021. Patients were compared according to the period of hospitalization. Primary outcomes were delay times in assistance and clinical outcomes (acute kidney injury [AKI], post-procedural vascular complications and in-hospital mortality). Results: 108 patients were included, 39 (36.1%) in the pre-pandemic period, 13 (12.1%) in pandemic I and 56 (51.8%) in pandemic II. Time from onset of symptoms to arrival at the service and door-to-balloon time did not differ significantly among groups. Vascular complications were more frequent during the pandemic (I and II) than in the pre-pandemic period (2.5% pre-pandemic vs 15.4% pandemic vs 12.5% pandemic II;p = 0.03). AKI incidence was similar in all three periods. There was a non-significant increase in in-hospital mortality during the COVID-19 pandemic. Conclusion: In patients with STEMI, there was an increase in vascular complications and a trend toward increased mortality during the COVID-19 pandemic. Delay times to admission and reperfusion did not differ significantly between before and during the pandemic.

Individual dynamics and local heterogeneity provide a microscopic view of the epidemic spreading

The COVID-19 pandemic has caused severe global disasters,highlighting the importance of understanding the details and trends of epidemic transmission in order to introduce efficient intervention measures.While the widely used deterministic compartmental models have qualitatively presented continuous “analytical” insight and captured some transmission features,their treatment usually lacks spatiotemporal variation.Here,we propose a stochastic individual dynamical(SID)model to mimic the random and heterogeneous nature of epidemic propagation.The SID model provides a unifying framework for representing the spatiotemporal variations of epidemic development by tracking the movements of each individual.Using this model,we reproduce the infection curves for COVID-19 cases in different areas globally and find the local dynamics and heterogeneity at the individual level that affect the disease outbreak.The macroscopic trend of virus spreading is clearly illustrated from the microscopic perspective,enabling a quantitative assessment of different interventions.Seemingly,this model is also applicable to studying stochastic processes at the “meter scale”,e.g.,human society’s collective dynamics.

Impact of different interaction behavior on epidemic spreading in time-dependent social networks

We investigate the impact of pairwise and group interactions on the spread of epidemics through an activity-driven model based on time-dependent networks.The effects of pairwise/group interaction proportion and pairwise/group interaction intensity are explored by extensive simulation and theoretical analysis.It is demonstrated that altering the group interaction proportion can either hinder or enhance the spread of epidemics,depending on the relative social intensity of group and pairwise interactions.As the group interaction proportion decreases,the impact of reducing group social intensity diminishes.The ratio of group and pairwise social intensity can affect the effect of group interaction proportion on the scale of infection.A weak heterogeneous activity distribution can raise the epidemic threshold,and reduce the scale of infection.These results benefit the design of epidemic control strategy.

Impact of COVID-19 on Safety Performance for Motorcycles: Pre-and during-Pandemic Conditions

Florida has the highest number of motorcycle fatalities in the United States and contains the second largest population of registered motorcycles. The COVID-19 pandemic influenced the roads, traffic, and driving behavior in the continental United States. Motorcycle crashes decreased during the COVID-19 years (2020 and 2021) while the fatality rates increased. The purpose of this study is to 1) investigate motorcycle crashes before and during the Pandemic period to understand the impacts on motorcycle safety and contributing factors to the crash severity levels;2) develop the crash predictive model for different degrees of severity in motorcycle crashes in Florida. Florida statewide crash data were collected. T tests have been conducted to compare the contributing factors between two periods. The injury severities are significantly different among all five levels between those during normal period and the Pandemic period. A crash predictive model has been developed to determine the facts to injury severity levels for motorcycle crashes. A total of eight variables are found to significantly increase the injury severity levels for motorcycle crashes during the Pandemic period.

Prothrombotic state and thrombotic events in COVID-19 pandemic period,including portal vein and splenic artery thromboses

This editorial article is intended to perform a discussion on the manuscript entitled“Simultaneous portal vein thrombosis and splenic vein thrombosis in a COVID-19 patient:A case report and review of literature”written by Abramowitz et al.The article focuses on the diagnostic processes in a 77-year-old-male patient with a simultaneous portal vein and splenic artery thrombosis accompanying coronavirus disease 2019(COVID-19).The authors postulated that splanchnic thrombosis should be on the list of differential diagnoses in a patient presenting with abdominal pain in presence of a COVID-19 infection.The tendency for venous and arterial thrombosis in COVID-19 patients is encountered,largely attributed to hypercoagulopathy.In general,venous thromboembolism mostly manifest as deep vein thrombosis(DVT),pulmonary embolism(PE)or catheterrelated thromboembolic events.Acute PE,DVT,cerebrovascular events and myocardial infarction are seen as the most common thromboembolic complications in COVID-19 patients.COVID-19-associated hemostatic abnormalities include mild thrombocytopenia and increased D-dimer level.Similar to other coagulopathies,the treatment of the underlying condition is the mainstay.Addition of antiplatelet agents can be considered in critically ill patients at low bleeding risk,not on therapeutic anticoagulation,and receiving gastric acid suppression Early administration of antithrombotic drugs will have a beneficial effect in both the prevention and treatment of thrombotic events,especially in non-ambulatory patients.Low molecular weight heparin(LMWH)should be started if there is no contraindication,including in non-critical patients who are at risk of hospitalization LMWH(enoxaparin)is preferred to standard heparin.

Projecting the Dynamic Trends of Human Immunodeficiency Virus/Acquired Immunodeficiency Syndrome:Modeling the Epidemic in Sichuan Province, China

Objective Our study aimed to provide a comprehensive overview of the current status and dynamic trends of the human immunodeficiency virus(HIV)prevalence in Sichuan,the second most heavily affected province in China,and to explore future interventions.Methods The epidemiological,behavioral,and population census data from multiple sources were analyzed to extract inputs for an acquired immunodeficiency syndrome(AIDS)epidemic model(AEM).Baseline curves,derived from historical trends in HIV prevalence,were used,and the AEM was employed to examine future intervention scenarios.Results In 2015,the modeled data suggested an adult HIV prevalence of 0.191%in Sichuan,with an estimated 128,766 people living with HIV/AIDS and 16,983 individuals with newly diagnosed infections.Considering current high-risk behaviors,the model predicts an increase in the adult prevalence to 0.306%by 2025,projecting an estimated 212,168 people living with HIV/AIDS and 16,555 individuals with newly diagnosed infections.Conclusion Heterosexual transmission will likely emerge as the primary mode of AIDS transmission in Sichuan.Furthermore,we anticipate a stabilization in the incidence of AIDS with a concurrent increase in prevalence.Implementing comprehensive intervention measures aimed at high-risk groups could effectively alleviate the spread of AIDS in Sichuan.

Epidemic threshold influenced by non-pharmaceutical interventions in residential university environments

The control of highly contagious disease spreading in campuses is a critical challenge.In residential universities,students attend classes according to a curriculum schedule,and mainly pack into classrooms,dining halls and dorms.They move from one place to another.To simulate such environments,we propose an agent-based susceptible–infected–recovered model with time-varying heterogeneous contact networks.In close environments,maintaining physical distancing is the most widely recommended and encouraged non-pharmaceutical intervention.It can be easily realized by using larger classrooms,adopting staggered dining hours,decreasing the number of students per dorm and so on.Their real-world influence remains uncertain.With numerical simulations,we obtain epidemic thresholds.The effect of such countermeasures on reducing the number of disease cases is also quantitatively evaluated.

Epidemic Characteristics and Spatio-Temporal Patterns of HFRS in Qingdao City,China,2010-2022

Objective This study investigated the epidemic characteristics and spatio-temporal dynamics of hemorrhagic fever with renal syndrome(HFRS)in Qingdao City,China.Methods Information was collected on HFRS cases in Qingdao City from 2010 to 2022.Descriptive epidemiologic,seasonal decomposition,spatial autocorrelation,and spatio-temporal cluster analyses were performed.Results A total of 2,220 patients with HFRS were reported over the study period,with an average annual incidence of 1.89/100,000 and a case fatality rate of 2.52%.The male:female ratio was 2.8:1.75.3%of patients were aged between 16 and 60 years old,75.3%of patients were farmers,and 11.6%had both“three red”and“three pain”symptoms.The HFRS epidemic showed two-peak seasonality:the primary fall-winter peak and the minor spring peak.The HFRS epidemic presented highly spatially heterogeneous,street/township-level hot spots that were mostly distributed in Huangdao,Pingdu,and Jiaozhou.The spatio-temporal cluster analysis revealed three cluster areas in Qingdao City that were located in the south of Huangdao District during the fall-winter peak.Conclusion The distribution of HFRS in Qingdao exhibited periodic,seasonal,and regional characteristics,with high spatial clustering heterogeneity.The typical symptoms of“three red”and“three pain”in patients with HFRS were not obvious.

Vaccination and Measles Epidemic in the Republic of Congo

Measles is a highly infectious, vaccine-preventable viral disease. Often forgotten, it is potentially fatal. Its main symptoms are: fever, cough, conjunctivitis, rhinitis and skin rash. Serological diagnoses by ELISA test based on the detection of anti-measles virus immunoglobulins M and G (IgM and IgG), are used respectively for the confirmation of suspected cases notified by means of clinical signs of the disease in health structures of the twelve departments of the Republic of Congo involved in the epidemiological surveillance of the disease, and for the evaluation of the immunity conferred by vaccination. During 2021, 459 suspected cases of measles were reported and sampled throughout the country, despite the administration under the Expanded Routine Immunization Program (EPI), of 2 doses of the combined measles-rubella vaccine (RR1 and RR2) in 2020. The notification rate was higher in the south of the country, more precisely in the health structures of the departments of Pointe-Noire (42%) and Brazzaville (11%). During the year 2021, 459 suspected cases of measles were notified and sampled throughout the country with a high notification rate in the south of the country, more precisely in the health structures of the Pointe-Noire departments (42%) and Brazzaville (11%). The samples consisting of human blood (serum) were sent to the National Public Health Laboratory and analyzed by various ELISA tests for the detection of anti-measles immunog-lobulins M and G. The analysis of the results obtained shows that the measles virus circulated in all departments of the country. 154 cases (33.55%) were confirmed positive by IgM ELISA and 98 positive cases (63.63%) were patients vaccinated against measles. Vaccination coverage in RR1 of [50%-95% [(first dose) as well as the lowest RR2 < 50% (second dose) undoubtedly because the COVID-19 pandemic could be the cause of the high frequency of cases positive vaccinated. The non-detection of IgG immunoglobulins in vaccinated patients observed by IgG ELISA tests revealed that 63.26% of vaccinated patients were not immunized against the measles virus. These results confirm those obtained during the Elisa IgM analysis and make it possible to deduce that the quality, the number of doses not properly administered, the individual characteristics of the people as well as the poor conservation of the administered vaccine (non-compliance with the cold chain) would explain the high proportion of positive cases of vaccinated measles observed.

Relationship Between Individuals’Epidemic Risk Perception Within Living Space and Subjective Well-Being:Empirical Evidence from China after the First Wave of COVID-19

It is common to observe the epidemic risk perception(ERP)and a decline in subjective well-being(SWB)in the context of public health events,such as Corona Virus Disease 2019(COVID-19).However,there have been few studies exploring the impact of individuals’ERP within living space on their SWB,especially from a geographical and daily activity perspective after the resumption of work and other activities following a wave of the pandemic.In this paper,we conducted a study with 789 participants in urban China,measuring their ERP within living space and examining its influence on their SWB using path analysis.The results indicated that individuals’ERP within their living space had a significant negative effect on their SWB.The density of certain types of facilities within their living space,such as bus stops,subway stations,restaurants,fast food shops,convenience shops,hospitals,and public toilets,had a significantly negative impact on their SWB,mediated by their ERP within living space.Additionally,participation in out-of-home work and other activities not only increased individuals’ERP within living space,but also strengthened its negative effect on their SWB.

Research on the Control Cover against Solenopsis invicta and Rapid Extinguishment of Its Epidemic

Based on the biological characteristics of Solenopsis invicta and the structural characteristics of its ant nest,a fast and efficient closed treatment device was developed.Compared with the simple chemical treatment commonly used at present,the developed treatment device(the ant nest control cover)is a fast and efficient method to exterminate S.invicta in 7 d,featured by short course,quick results and good effect.

Impact of COVID-19 pandemic on routine childhood vaccinations

Routine pediatric vaccination is one of the most effective public health inter-ventions for the control of a number of fatal diseases.However,during the coronavirus disease 2019 pandemic,routine pediatric vaccination rates were severely affected by disruptions of health services and vaccine confidence issues.Governments and the United Nations have taken measures to re-establish routine pediatric vaccination,while additional efforts are needed to catch up and develop plans to ensure routine vaccination services for the future pandemics.

Paradigm shift in transfusion practices during early COVID-19 pandemic:A single center retrospective study

BACKGROUND The advent of coronavirus disease 2019(COVID-19)unveiled the worst national blood crisis that the United States had witnessed in over a decade.With the pandemic influencing the different stages of the acquisition of blood products outside the hospital setting,we aimed to explore the possible barriers contributing to the shortage of blood products within the medical community.the COVID era and pre-COVID era.METHODS We conducted a retrospective cross-sectional study on hospitalized patients distinguishing the pattern of blood transfusion during the COVID and pre-COVID era in a community hospital.Data was tabulated to include the number of red blood cell(RBC)transfusions and if transfusions met restrictive blood transfusion criteria as per institutional guidelines.Chi-square was applied to test the statistical association between qualitative variables.Unpaired t test and Mann Whitney U test were applied respectively to test the mean difference of quantitative variables.RESULTS A total of 208 patients were included in the study,of which 108 were during COVID era and 100 were during pre-COVID era.The leading reason for admission in both the COVID era and pre-COVID era transfused patients was shortness of breath(53.7%and 36%P=0.001),followed by gastrointestinal bleeding(25.9%and 21%P=0.001).There was a higher percentage of RBC transfusions in the intensive care unit in the COVID-era group than in the pre-COVID era group(38.9%vs 22%,P=0.008).The restrictive transfusion criteria were met in 62%vs 79%in the COVID and pre-COVID eras,respectively(P=0.008).CONCLUSION The COVID-era group received RBC transfusions with less stringent adherence to restrictive blood transfusion practices in comparison to pre-COVID era group.

Stochastic Bifurcation of an SIS Epidemic Model with Treatment and Immigration

In this paper, we investigate an SIS model with treatment and immigration. Firstly, the two-dimensional model is simplified by using the stochastic averaging method. Then, we derive the local stability of the stochastic system by computing the Lyapunov exponent of the linearized system. Further, the global stability of the stochastic model is analyzed based on the singular boundary theory. Moreover, we prove that the model undergoes a Hopf bifurcation and a pitchfork bifurcation. Finally, several numerical examples are provided to illustrate the theoretical results. .