Effects of undernutrition on mortality and morbidity among adults living with HIV in sub-Saharan Africa: a systematic review and meta-analysis

A systematic review of the clinical characteristics of influenza-COVID-19 co-infection

COVID-19 has impacted populations across the globe and has been a major cause of morbidity and mortality. Influenza is another potentially deadly respiratory infection that affects people worldwide. While both of these infections pose major health threats, little is currently understood regarding the clinical aspects of influenza and COVID-19 co-infection. Our objective was to therefore provide a systematic review of the clinical characteristics, treatments, and outcomes for patients who are co-infected with influenza and COVID-19. Our review, which was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, involved searching for literature in seven different databases. Studies were eligible for inclusion if they included at least one co-infected patient, were available in English, and described clinical characteristics for the patients. Data were pooled after extraction. Study quality was assessed using the Joanna Brigg's Institute Checklists. Searches produced a total of 5096 studies, and of those, 64 were eligible for inclusion. A total of 6086 co-infected patients were included, 54.1% of whom were male; the mean age of patients was 55.9 years (SD = 12.3). 73.6% of cases were of influenza A and 25.1% were influenza B. 15.7% of co-infected patients had a poor outcome (death/deterioration). The most common symptoms were fever, cough, and dyspnea, with the most frequent complications being pneumonia, linear atelectasis, and acute respiratory distress syndrome. Oseltamivir, supplemental oxygen, arbidol, and vasopressors were the most common treatments provided to patients. Having comorbidities, and being unvaccinated for influenza, were shown to be important risk factors. Co-infected patients show symptoms that are similar to those who are infected with COVID-19 or influenza only. However, co-infected patients have been shown to be at an elevated risk for poor outcomes compared to mono-infected COVID-19 patients. Screening for influenza in high-risk COVID-19 patients is recommended. There is also a clear need to improve patient outcomes with more effective treatment regimens, better testing, and higher rates of vaccination.

Epidemiology and determinants of reemerging bacterial sexually transmitted infections (STIs) and emerging STIs in Europe

In this scoping review, we offer a comprehensive understanding of the current and recent epidemiology, challenges, and emerging issues related to bacterial sexually transmitted infections (STIs) in the WHO European Region. We endeavour in collating data from both EU/EEA and non- EU/EEA countries, thereby giving a complete picture of the region which highlights the higher notification rates in Northern and Western countries than other regions, likely due to differences in testing, access to testing, and surveillance capacity. We provide an up-to-date review on the current knowledge of determinants and persistent inequities in key populations as well as the use of molecular epidemiology for identifying transmission networks in gonorrhoea and syphilis, and detecting chlamydia mutations that evade molecular diagnosis. Finally, we explore the emerging STIs in the region and the evolving transmission routes of food and waterborne diseases into sexual transmission. Our findings call for harmonized STI surveillance systems, proactive strategies, and policies to address social factors, and staying vigilant for emerging STIs.

Labour migration and food security in rural Mozambique: Do agricultural investment, asset building and local employment matter?

Connections between labour migration and food security of left-behind households are still poorly understood. Using data from two waves of a longitudinal survey conducted among ever-married women in rural Mozambique, we employ multi-level ordered logit and negative binomial regressions to examine over time three possible pathways linking men's migration and its economic success to food security of left-behind households-agricultural investment, household material assets and women's local gainful employment. Our analyses find a significant positive association between migration's success, proxied by remittances, and food security and show that this association is largely mediated by household's possession of material assets.

Global status of phenotypic pyrazinamide resistance in Mycobacterium tuberculosis clinical isolates: an updated systematic review and meta-analysis

Pyrazinamide (PZA) is an essential first-line tuberculosis drug for its unique mechanism of action active against multidrug-resistant-TB (MDR-TB). Thus, the aim of updated meta-analysis was to estimate the PZA weighted pooled resistance (WPR) rate in M. tuberculosis isolates based on publication date and WHO regions. We systematically searched the related reports in PubMed, Scopus, and Embase (from January 2015 to July 2022). Statistical analyses were performed using STATA software. The 115 final reports in the analysis investigated phenotypic PZA resistance data. The WPR of PZA was 57% (95% CI 48-65%) in MDR-TB cases. According to the WHO regions, the higher WPRs of PZA were reported in the Western Pacific (32%; 95% CI 18-46%), South East Asian region (37%; 95% CI 31-43%), and the Eastern Mediterranean (78%; 95% CI 54-95%) among any-TB patients, high risk of MDR-TB patients, and MDR-TB patients, respectively. A negligible increase in the rate of PZA resistance were showed in MDR-TB cases (55% to 58%). The rate of PZA resistance has been rising in recent years among MDR-TB cases, underlines the essential for both standard and novel drug regimens development.

Associated Biochemical and Hematological Markers in COVID-19 Severity Prediction

Background

The global threat of COVID-19 has created the need for researchers to investigate the disease's progression, especially through the use of biomarkers to inform interventions. This study aims to assess the correlations of laboratory parameters to determine the severity of COVID-19 infection.

Methods

This study was conducted among 191 COVID-19 patients in Sumeru Hospital, Lalitpur, Nepal. According to their clinical outcomes, these patients were divided into severe and nonsevere groups. Inflammatory markers such as LDH, D-dimer, CRP, ferritin, complete blood cell count, liver function tests, and renal function tests were performed. Binary logistic regression analysis determined relative risk factors associated with severe COVID-19. The area under the curve (AUC) was calculated with ROC curves to assess the potential predictive value of risk factors.

Results

Out of 191 patients, 38 (19.8%) subjects died due to COVID-19 complications, while 156 (81.7%) survived and were discharged from hospital. The COVID-19 severity was found in patients with older age and comorbidities such as CKD, HTN, DM, COPD, and pneumonia. Parameters such as d-dimer, CRP, LDH, SGPT, neutrophil, lymphocyte count, and LMR were significant independent risk factors for the severity of the disease. The AUC was highest for d-dimer (AUC = 0.874) with a sensitivity of 82.2% and specificity of 81.2%. Similarly, the cut-off values for other factors were age >54.5 years, D-dimer >0.91 ng/ml, CRP >82.4 mg/dl, neutrophil >78.5%, LDH >600 U/L, and SGPT >35.5 U/L, respectively.

Conclusion

Endorsement of biochemical and hematological parameters with their cut-off values also aids in predicting COVID-19 severity. The biomarkers such as D-dimer, CRP levels, LDH, ALT, and neutrophil count could be used to predict disease severity. So, timely analysis of these markers might allow early prediction of disease progression.

Inclusion of nutritional counseling and mental health services in HIV/AIDS management: A paradigm shift

Human immunodeficiency virus (HIV) infection is a public health challenge that can degenerate into acquired immunodeficiency syndrome (AIDS) if not properly managed. HIV infection shortens life expectancy to about 5 to 10 years compared to noninfected individuals. People living with HIV/AIDS (PLWHA) are prone to several health challenges as a result of a deranged immune system culminating in high morbidity and mortality. Depression is a common feature of PLWHA. Depression heightens the emergence of opportunistic infections in HIV-infected individuals, accelerates the progression to AIDS, and increased suicidal tendencies, morbidity, and mortality. Food insecurity with its resultant undernutrition contributes to HIV/AIDS-related deaths. Undernourished PLWHA are more prone to opportunistic infections due to poor immunity. Interestingly, proper diet intake can boost immunity, slow the progression of AIDS and opportunistic infections, enhance body weight, and retard depression tendencies. Undernutrition can also be ameliorated by incorporating nutritional counseling and oral nutrient supplementation in routine HIV/AIDS checkups. Therefore, to increase HIV/AIDS management outcomes, the integration of nutrition counseling, dietary supplements, and mental health services should be embraced. Thus, HIV/AIDS care centers should amplify these services. In this article, we isolated relevant studies from various databases, illuminated the interwoven relationship between HIV/AIDS, depression, and undernutrition, and also reemphasized the need for adequate nutritional intervention in the battle against HIV/AIDS. Thus, this study provides a reawakening call to focus on incorporating nutritional guides and mental health care in HIV/AIDS management protocols.

Synthesis and in silico study of chenodeoxycholic acid and its analogues as an alternative inhibitor of spike glycoprotein of SARS-CoV-2

COVID-19, caused by SARS-CoV-2, is a viral infection that has generated one of the most significant health problems in the world. Spike glycoprotein is a crucial enzyme in viral replication and transcription mediation. There are reports in the literature on using bile acid in the fight against this virus through in vitro tests. This work presents the synthesis of nine chenodeoxycholic acid derivatives (1-9), which were prepared by oxidation, acetylation, formylation, and esterification reactions, and the analogs 6-9 have not yet been reported in the literature and the possibility of conducting an in silico study of bile acid derivatives as a therapeutic alternative to combat the virus using glycoprotein as a macromolecular target. As a result, five compounds (1, 6-9) possessed favorable competitive interactions with the lowest energies compared to the native ligand (BLA), and the highlighted compound 9 got the best scores. At the same time, analog 1 presented the best ADME filter result. Molecular dynamics also simulated these compounds to verify their stability within the active protein site to seek new therapeutic propositions to fight against the pandemic. Physical and spectroscopic data have fully characterized all the compounds.Communicated by Ramaswamy H. Sarma.

Identifying risk factors and disease severity in leptospirosis: A meta-analysis of clinical predictors

Leptospirosis is a bacterial zoonosis with a wide spectrum of clinical presentations. In order to identify potential risk factors and predictors of disease severity, a meta-analysis of the clinical features of severe and non-severe leptospirosis patients was conducted. PubMed was searched to collect studies on the difference in clinical characteristics of severe and nonsevere patients, and data were analyzed using Comprehensive Meta-Analysis V3 software. Results showed that patients with severe outcomes were more likely to have dyspnoea, oliguria, and hemorrhagic symptoms than nonsevere patients. Determining these predictors in the early stages of the disease could thus significantly reduce the development of severe cases and related mortality.

Coreactant-free dual-emitting conjugated polymer for ratiometric electrochemiluminescence detection of SARS-CoV-2 RdRp gene

Constructing mono-luminophor-based electrochemiluminescence (ECL) ratio system is a great challenge due to the limitations of the luminescent species with dual-signal-output, luminescence efficiency and coreactant. This work developed carboxyl-functionalized poly[9,9-bis(3'-(N,N-dimethylamino) propyl)-2,7-fluorene]-alt-2,7-(9,9 dioctylfluorene)] nanoparticles(PFN NPs) as dual-emitting luminophors, which can synchronously output strong cathodic and anodic ECL signals without any exogenous coreactants. The inherent molecular structure enabled efficient intramolecular electron transfer between tertiary amine groups and backbone of PFN to generate strong cathodic and anodic ECL emission. Particularly, H+ in aqueous solution played an irreplaceable role for cathodic ECL emission. The silver nanoparticles (AgNPs) were developed as signal regulator because of their excellent hydrogen evolution reaction (HER) activity, which significantly quenched the cathodic signal while kept the anodic signal unchanged. The dual-emitting PFN NPs cleverly integrated signal regulator AgNPs and bicyclic strand displacement amplification (SDA) to construct a coreactant-free mono-luminophor-based ratiometric ECL sensing for SARS-CoV-2 RdRp gene assay. The strong dual-emitting of PFN NPs and excellent quenching effect of AgNPs on cathodic emission endowed the biosensor with a high detection sensitivity, and the detection limit was as low as 39 aM for RdRp gene. The unique dual-emitting properties of PFN NPs open up a new path to construct coreactant-free mono-luminophor-based ECL ratio platform, and excellent HER activity of AgNPs offers some new thoughts for realizing ECL signal changes.

Preparing for the next outbreak: A review of indices measuring outbreak preparedness, vulnerability, and resilience

The COVID-19 pandemic has highlighted the need for relevant metrics describing the resources and community attributes that affect the impact of communicable disease outbreaks. Such tools can help inform policy, assess change, and identify gaps to potentially reduce the negative outcomes of future outbreaks. The present review was designed to identify available indices to assess communicable disease outbreak preparedness, vulnerability, or resilience, including articles describing an index or scale developed to address disasters or emergencies which could be applied to addressing a future outbreak. This review assesses the landscape of indices available, with a particular focus on tools assessing local-level attributes. This systematic review yielded 59 unique indices applicable to assessing communicable disease outbreaks through the lens of preparedness, vulnerability, or resilience. However, despite the large number of tools identified, only 3 of these indices assessed factors at the local level and were generalizable to different types of outbreaks. Given the influence of local resources and community attributes on a wide range of communicable disease outcomes, there is a need for local-level tools that can be applied broadly to various types of outbreaks. Such tools should assess both current and long-term changes in outbreak preparedness with the intent to identify gaps, inform local-level decision makers, public policy, and future response to current and novel outbreaks.

Predictors of underweight among adult patients receiving antiretroviral therapy in Bishoftu general hospital, central Ethiopia: Case-control study

BACKGROUND

Underweight affects the overall clinical outcome and quality of life and increases the risk of mortalities in Human immunodeficiency virus and acquired immunodeficiency syndrome (HIV/AIDS) patients. Though studies have examined the various determinants of being underweight in people living with HIV/AIDS (PLHIV), scanty evidence exists about the influence of dietary diversity scores and dietary counseling on underweight HIV patients in Ethiopia. This study aimed to identify the determinants of being underweight among adult patients receiving antiretroviral therapy at Bishoftu General Hospital, central Ethiopia.

METHODS

An institution-based unmatched case-control study was conducted among 279 participants (93 cases and 186 controls) from April to May 2022. Cases were selected consecutively as they occur, and then two subsequent controls that visited the antiretroviral therapy(ART) clinic were interviewed until the sample size was attained. Data were collected using a pretested structured questionnaire and involved patient interviews and chart review. Bivariate and Multivariable logistic regression was used to identify determinants of underweight. The presence of statistically significant association was declared with p-value <0.05, and a 95% confidence interval was used to show the precision in the measure of the strength of association.

RESULTS

The response rate of participants was 91.2% for each of the cases and controls. Monthly income of patients ≤2000 birr (AOR = 6.63, 95% CI: 2.96-14.85), absence of support giver (AOR = 3.22, 95% CI: 1.38-7.50), being having an eating problem (AOR = 14.48, 95% CI: 5.06-41.40), dietary diversity score of four to five (AOR = 2.36, 95% CI: 1.92, 6.08), not getting dietary counseling support and advice (AOR = 2.53, 95% CI: 1.11, 5.72) and chewing khat (AOR = 3.36, 95% CI: 1.99,11.33) were determinants of underweight in adult HIV patients.

CONCLUSIONS

This study revealed that household dietary diversity, counseling and education on nutrition, monthly income, eating problems, support giver, and khat chewing were predictors of being underweight in HIV patients. This inquires an integrated nutritional intervention including income-generating activities, counseling and education on nutrition and bad habits, and regular monitoring of the nutritional status during clinic visits.

CBC Differences between Survived and Deceased COVID-19 Patients: A Cohort Study

The Coronavirus disease 2019 (COVID-19) pandemic showed the importance of simple, low-cost, and accessible tests for patient triage. Complete Blood Count (CBC) can be considered a good option for predicting the prognosis of COVID-19 and daily follow-up of hospitalized patients. CBC tests of 100 COVID-19 patients admitted to the general ward or intensive care unit (ICU) were monitored for ten days. Routine laboratory tests were also performed. In addition, the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) were calculated at the time of admission. The WBC count of the ICU-admitted patients was significantly lower than in the non-ICU-admitted group (P = 0.008). The mean lymphocyte percentage of deceased patients was significantly lower than in the survived patients (P = 0.041), whereas the mean neutrophil percentage of the former group was higher than the latter ( P = 0.012). Moreover, the mean monocyte percentage of the survivors was significantly more than that of non-survivors (P = 0.003). However, there was no significant difference in mean platelet counts, hemoglobin levels, and red blood cell count between the studied groups. A lower WBC, lymphocyte percentage, and monocyte percentage, in addition to a higher neutrophil percentage, may indicate a poor prognosis in moderate to severe COVID-19 patients.

An interpreter ranking index-based MCDM technique for COVID-19 treatments under a bipolar fuzzy environment

The entire world is currently fighting the severe and dangerous pandemic COVID-19, which is causing bodily suffering and mental distress due to the rapidly increasing number of infected patients and deaths worldwide. Many COVID-19 treatments are going on in India, and some treatments are under development for these patients. But, treatment selection for the COVID-19 patients is challenging in the present situation. Through the multi-criteria decision-making technique, they can select the COVID-19 treatments easily. Therefore, we have developed an MCDM technique to select COVID-19 treatments in India. This paper invented the value and ambiguity of bipolar fuzzy (BF) numbers. Additionally, some fundamental theorems and properties of BF-numbers are studied. A novel positive and negative interpreter ranking index of BF numbers has been introduced. In the present day, most human decision-making relies heavily on bipolar fuzzy information. Hence, we developed an MCDM technique with bipolar fuzzy details. A comprehensive range of human decisions for selecting COVID-19 treatments is based on positive and negative double-sided or bipolar judgemental thinking. To select COVID-19 treatments in India, we have applied the proposed MCDM technique with BTrF information. Moreover, to demonstrate the applicability of our proposed MCDM method, we have considered a numerical example with BF data. Finally, we give the comparison study to show the effectiveness of our proposed MCDM method with other existing decision-making methods.

A systematic review and meta-analysis on the prevalence and impact of coronary artery disease in hospitalized COVID-19 patients

Background

COVID-19 accounts for more than half a billion deaths globally. The clinical manifestations may vary in due course. Despite several studies aimed at determining the extent to which the disease's severity and mortality remain high when combined with other comorbidities, more research is required. Therefore, this review aimed to measure the pooled prevalence of coronary artery disease (CAD) among COVID-19 patients, specifically those with a history of CAD. Additionally, we aim to assess the association between mortality due to CAD and the severity of COVID-19 among hospitalized patients.

Method

A comprehensive search in PubMed, Web of Science, the Cochrane Library, and the WHO COVID-19 database was conducted. English studies with original data on CAD, mortality, and ARDS among COVID-19 patients were included. PRISMA guidelines were followed.

Results

Among the 2007 identified articles, 76 studies met the inclusion criteria. The pooled prevalence of CAD among COVID-19 patients was 14.4%(95% CI: 12.7-16.2). The highest prevalence was observed in European studies at 18.2%(95% CI: 13.3-24.2), while the lowest was in Asian studies at 10.4% (95% CI: 6.4-16.3). Participants with concurrent CAD at the time of hospital admission had twice the odds of mortality due to COVID-19 (2.64 [95% CI: 2.30-3.04]) with moderate heterogeneity (I2 = 45%, p < 0.01). Hospitalized COVID-19 patients with CAD had a 50% higher risk of ARDS (95% CI: 0.62-3.66), but this difference was not statistically significant.

Conclusion

Although our analysis revealed evidence for a relationship between concurrent CAD at the time of hospital admission and mortality from COVID-19, however, global variation in health infrastructure, limitations of data reporting, and the effects of emerging variants must be considered in future investigations.

The hidden risk of microplastic-associated pathogens in aquatic environments

Increasing studies of plastisphere have raised public concern about microplastics (MPs) as vectors for pathogens, especially in aquatic environments. However, the extent to which pathogens affect human health through MPs remains unclear, as controversies persist regarding the distinct pathogen colonization on MPs as well as the transmission routes and infection probability of MP-associated pathogens from water to humans. In this review, we critically discuss whether and how pathogens approach humans via MPs, shedding light on the potential health risks involved. Drawing on cutting-edge multidisciplinary research, we show that some MPs may facilitate the growth and long-range transmission of specific pathogens in aquatic environments, ultimately increasing the risk of infection in humans. We identify MP- and pathogen-rich settings, such as wastewater treatment plants, aquaculture farms, and swimming pools, as possible sites for human exposure to MP-associated pathogens. This review emphasizes the need for further research and targeted interventions to better understand and mitigate the potential health risks associated with MP-mediated pathogen transmission.

COVID-19: An Overview of SARS-CoV-2 Variants-The Current Vaccines and Drug Development

The world is presently in crisis facing an outbreak of a health-threatening microorganism known as COVID-19, responsible for causing uncommon viral pneumonia in humans. The virus was first reported in Wuhan, China, in early December 2019, and it quickly became a global concern due to the pandemic. Challenges in this regard have been compounded by the emergence of several variants such as B.1.1.7, B.1.351, P1, and B.1.617, which show an increase in transmission power and resistance to therapies and vaccines. Ongoing researches are focused on developing and manufacturing standard treatment strategies and effective vaccines to control the pandemic. Despite developing several vaccines such as Pfizer/BioNTech and Moderna approved by the U.S. Food and Drug Administration (FDA) and other vaccines in phase 4 clinical trials, preventive measures are mandatory to control the COVID-19 pandemic. In this review, based on the latest findings, we will discuss different types of drugs as therapeutic options and confirmed or developing vaccine candidates against SARS-CoV-2. We also discuss in detail the challenges posed by the variants and their effect on therapeutic and preventive interventions.

Evaluation of the use of methylprednisolone and dexamethasone in asthma critically ill patients with COVID-19: a multicenter cohort study

BACKGROUND

Previous studies have shown mortality benefits with corticosteroids in Coronavirus disease-19 (COVID-19). However, there is inconsistency regarding the use of methylprednisolone over dexamethasone in COVID-19, and this has not been extensively evaluated in patients with a history of asthma. This study aims to investigate and compare the effectiveness and safety of methylprednisolone and dexamethasone in critically ill patients with asthma and COVID-19.

METHODS

The primary endpoint was the in-hospital mortality. Other endpoints include 30-day mortality, respiratory failure requiring mechanical ventilation (MV), acute kidney injury (AKI), acute liver injury, length of stay (LOS), ventilator-free days (VFDs), and hospital-acquired infections. Propensity score (PS) matching, and regression analyses were used.

RESULTS

A total of one hundred-five patients were included. Thirty patients received methylprednisolone, whereas seventy-five patients received dexamethasone. After PS matching (1:1 ratio), patients who received methylprednisolone had higher but insignificant in-hospital mortality in both crude and logistic regression analysis, [(35.0% vs. 18.2%, P = 0.22) and (OR 2.31; CI: 0.56 - 9.59; P = 0.25), respectively]. There were no statistically significant differences in the 30-day mortality, respiratory failure requiring MV, AKI, acute liver injury, ICU LOS, hospital LOS, and hospital-acquired infections.

CONCLUSIONS

Methylprednisolone in COVID-19 patients with asthma may lead to increased in-hospital mortality and shorter VFDs compared to dexamethasone; however, it failed to reach statistical significance. Therefore, it is necessary to interpret these data cautiously, and further large-scale randomized clinical trials are needed to establish more conclusive evidence and support these conclusions.

Body mass index trends and its impact of under and overweight on outcome among PLHIV on antiretroviral treatment in rural Tanzania: A prospective cohort study

INTRODUCTION

Increased body weight is an important risk factor for cardiovascular disease and is increasingly reported as a health problem in people living with HIV (PLHIV). There is limited data from rural sub-Saharan Africa, where malnutrition usually presents with both over- and undernutrition. We aimed to determine the prevalence and risk factors of underweight and overweight/obesity in PLHIV enrolled in a cohort in rural Tanzania before the introduction of integrase inhibitors.

METHODS

This nested study of the prospective Kilombero and Ulanga Antiretroviral Cohort included adults aged ≥19 years initiated on antiretroviral therapy between 01/2013 and 12/2018 with follow-up through 06/2019. Body Mass Index (BMI) was classified as underweight (<18.5 kg/m2), normal (18.5-24.9 kg/m2), or overweight/obese (≥25.0 kg/m2). Stratified piecewise linear mixed models were used to assess the association between baseline characteristics and follow-up BMI. Cox proportional hazard models were used to assess the association between time-updated BMI and death/loss to follow-up (LTFU).

RESULTS

Among 2,129 patients, 22,027 BMI measurements (median 9 measurements: interquartile range 5-15) were analysed. At baseline, 398 (19%) patients were underweight and 356 (17%) were overweight/obese. The majority of patients were female (n = 1249; 59%), and aged 35-44 years (779; 37%). During the first 9 months, for every three additional months on antiretroviral therapy, BMI increased by 2% (95% confidence interval 1-2%, p<0.0001) among patients underweight at baseline and by 0.7% (0.5-0.6%, p<0.0001) among participants with normal BMI. Over a median of 20 months of follow-up, 107 (5%) patients died and 592 (28%) were LTFU. Being underweight was associated with >2 times the hazard of death/LTFU compared to participants with normal BMI.

CONCLUSION

We found a double burden of malnutrition, with underweight being an independent predictor of mortality. Monitoring and measures to address both states of malnutrition among PLHIV should be integrated into routine HIV care.

Climate Change and Aging Health in Developing Countries

The climate of the Earth has changed throughout history. Climate change negatively impacts human rights in a wide range of ways. The study aims to find out the impact of climate change on aging health in developing countries. The study found that public health will be devastated if climate change continues unabated. Countries that are least responsible for global warming are most susceptible to the effects of higher temperatures, such as death and disease. In low- and middle-income countries, disasters are more likely to happen to people aged 60 and over. Although climate change affects all of us, older people are especially at risk from it, as evidenced by a growing body of research. The study also offers countermeasures and suggestions to develop aging health in developing countries affected by climate change.

Non-Pharmacologic Interventions in COVID-19 Pandemic Management; a Systematic Review

Introduction

Different countries throughout the world have adopted non-pharmacologic interventions to reduce and control SARS - CoV-2. In this systematic approach, the impact of non-pharmacologic interventions in management of COVID-19 pandemic was assessed.

Methods

Following Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines, systematic search was carried out on the basis of a search strategy on PubMed, Web of Science, Scopus, and WHO databases on COVID-19. The impact of travel ban, personal protective equipment, distancing, contact tracing, school closure, and social distancing and the combined effect of interventions on COVID-19 were assessed.

Results

Of the 14,857 articles found, 44 were relevant. Studies in different countries have shown that various non-pharmacological interventions have been used during the COVID-19 pandemic. The travel ban, either locally or internationally in most of the countries, movement restriction, social distancing, lockdown, Personal Protective Equipment (PPE), quarantine, school closure, work place closure, and contact tracing had a significant impact on the reduction of mortality or morbidity of COVID-19.

Conclusion

Evidence shows that the implementation of non-pharmacologic interventions (NPIs), for this study suggests that the effectiveness of any NPI alone is probably limited, thus, a combination of various actions, for example, social distancing, isolation, and quarantine, distancing in the workplace and use of personal protective equipment, is more effective in reducing COVID-19.

Location selection of field hospitals amid COVID-19 considering effectiveness and fairness: A case study of Florida

The world has experienced an unprecedented global health crisis since 2020, the COVID-19 pandemic, which inflicted massive burdens on countries' healthcare systems. During the peaks of the pandemic, the shortages of intensive care unit (ICU) beds illustrated a critical vulnerability in the fight. Many individuals suffering the effects of COVID-19 had difficulty accessing ICU beds due to insufficient capacity. Unfortunately, it has been observed that many hospitals do not have enough ICU beds, and the ones with ICU capacity might not be accessible to all population strata. To remedy this going forward, field hospitals could be established to provide additional capacity in helping emergency health situations such as pandemics; however, location selection is a crucial decision ultimately for this purpose. As such, we consider finding new field hospital locations to serve the demand within certain travel-time thresholds, while accounting for the presence of vulnerable populations. A multi-objective mathematical model is proposed in this paper that maximizes the minimum accessibility and minimizes the travel time by integrating the Enhanced 2-Step Floating Catchment Area (E2SFCA) method and travel-time-constrained capacitated p-median model. This is performed to decide on the locations of field hospitals, while a sensitivity analysis addresses hospital capacity, demand level, and the number of field hospital locations. Four counties in Florida are selected to implement the proposed approach. Findings can be used to identify the ideal location(s) of capacity expansions concerning the fair distribution of field hospitals in terms of accessibility with a specific focus on vulnerable strata of the population.

Retrospective and prospective studies evaluating the performance of the SARS-Cov-2 "AQ+ COVID-19 Ag Rapid Test" from InTec on symptomatic and non-symptomatic patients

For the last two years, the SARS-CoV-2 virus spread all around the world and led to the COVID-19 pandemic. The need of methods to control the pandemic and to propose rapid and efficient diagnostic tools has emerged. In this perspective, SARS-CoV-2 rapid antigen detection tests (RADT) have been developed. We performed a retrospective study on 638 collected nasopharyngeal samples used for reference RT-qPCR diagnosis to compare the AQ + COVID-19 Ag Rapid Test" from InTec (AQ + InTec test) performance with other commercially available RADT (Abbott Panbio, Roche SDBiosensor and Siemens Clinitest). We analysed the sensitivity and specificity of the different tests and showed a better overall performance of the AQ + InTec test, which was confirmed on the SARS-Cov-2 Omicron variant. We then conducted a prospective study on 844patients, to evaluate the sensitivity and specificity of the AQ + InTec test on nasal and nasopharyngeal samples in a point of care setting. We showed that sensitivity and specificity reach acceptable criteria (respectively 94.4% and 99.6% on nasal samples) regarding the official recommendations of the MDCG 2021-21 in both symptomatic and asymptomatic patients. Overall, the results of these two studies confirm that the AQ + InTec test is a valuable tool for testing in a pandemic context with a high proportion of asymptomatic patients who are potential carriers for the SARS-CoV-2 virus and is performant on the most current circulating variant Omicron.

Association of Micronutrients with Tuberculosis Development in HIV Infected Patients

Human immunodeficiency virus (HIV) infection associated with weakened immune system due to decreased CD4 T cell count favors development of tuberculosis. Effector immune responses are also associated with micronutrient status due to their prominent role in maintaining immune functions. Micronutrient deficiencies are quite common among HIV patients that further result into compromised immunity thus making the conditions even more favorable for mycobacteria to establish disease. So, current study was designed to assess association of different micronutrients with development of TB in HIV patients. Micronutrient levels were measured in asymptomatic HIV patients who were monitored for the development of TB during follow up period (incident TB) within one month to one year and also in symptomatic microbiologically confirmed HIV-TB patients. Among various micronutrients assessed, levels of ferritin were found to be significantly increased (p < 0.05) with significant decreased zinc (p < 0.05) and selenium (p < 0.05) levels in incident TB group as well as in HIV-TB subjects compared to asymptomatic HIV patients who did not develop TB in the follow up period. Importantly, increased levels of ferritin and decreased levels of selenium were significantly associated with development of tuberculosis in HIV patients.

Investigating the intensity of social contacts associated with tuberculosis: a weighted networks model

BACKGROUND

Tuberculosis is known as one of the principal health problems, especially in developing countries. This study aimed to visualize, statistically model, and describe the weighted networks to investigate the intensity of social contacts associated with tuberculosis.

METHODS

In this case-control study, we applied weighted network analysis to assess the network of person-time spent in stores, workplaces, restaurants, mosques, Police bases, homes, hospitals, colleges, hairdressers, schools, contact homes, health centers, cinemas, parks, and markets. Modules will be determined based on the similarities between the variables in a topology overlap matrix. The most important variables will be found considering the association between each variable and module eigenvalues.

RESULTS

The result shows the extracted modules of locations based on the connectivity followed by the person-time at each place. The correlation (p-value) between TB and the turquoise, blue, and brown modules was 0.058 (0.351), 0.004 (0.943), and 0.117 (0.039), respectively. The brown module is the most important one, demonstrating a significant connection between homes, contact homes, health centers, and hospitals. Therefore, an association was found between person-time in four places and the occurrence of TB.

CONCLUSION

The finding of this study showed that most transmission of tuberculosis infection occurs in homes, contact homes, health centers, and hospitals. These place evaluations allow the identification of people with more contact and in need of screening, so critically leading to the identification of more patients with active TB.

Epidemiological change of influenza virus in hospitalized children with acute respiratory tract infection during 2014-2022 in Hubei Province, China

PURPOSE

Influenza virus (IFV) causes acute respiratory tract infection (ARTI) and leads to high morbidity and mortality annually. This study explored the epidemiological change of IFV after the implementation of the universal two-child policy and evaluated the impact of coronavirus disease 2019 (COVID-19) pandemic on the detection of IFV.

METHODS

Hospitalized children under 18 years with ARTI were recruited from Hubei Maternal and Child Healthcare Hospital of Hubei Province from January 2014 to June 2022. The positive rates of IFV were compared among different periods by the implementation of the universal two-child policy and public health measures against COVID-19 pandemic.

RESULTS

Among 75,128 hospitalized children with ARTI, the positive rate of IFV was 1.98% (1486/75128, 95% CI 1.88-2.01). Children aged 6-17 years had the highest positive rate of IFV (166/5504, 3.02%, 95% CI 2.58-3.50). The positive rate of IFV dropped to the lowest in 2015, then increased constantly and peaked in 2019. After the universal two-child policy implementation, the positive rate of IFV among all the hospitalized children increased from 0.40% during 2014-2015 to 2.70% during 2017-2019 (RR 6.72, 95% CI 4.94-9.13, P < 0.001), particularly children under one year shown a violent increasing trend from 0.20 to 2.01% (RR 10.26, 95% CI 5.47-19.23, P < 0.001). During the initial outbreak of COVID-19, the positive rate of IFV decreased sharply compared to that before COVID-19 (0.35% vs. 3.37%, RR 0.10, 95% CI 0.04-0.28, P < 0.001), and then rebounded to 0.91%, lower than the level before COVID-19 (RR 0.26, 95% CI 0.20-0.36, P < 0.001).

CONCLUSION

IFV epidemiological pattern has changed after the implementation of the universal two-child policy. More attention should be emphasized to comprehend the health benefits generated by COVID-19 restrictions on IFV transmission in future.

Real time monitoring of COVID-19 intervention effectiveness through contact tracing data

Communities worldwide have used vaccines and facemasks to mitigate the COVID-19 pandemic. When an individual opts to vaccinate or wear a mask, they may lower their own risk of becoming infected as well as the risk that they pose to others while infected. The first benefit-reducing susceptibility-has been established across multiple studies, while the second-reducing infectivity-is less well understood. Using a new statistical method, we estimate the efficacy of vaccines and facemasks at reducing both types of risks from contact tracing data collected in an urban setting. We find that vaccination reduced the risk of onward transmission by 40.7% [95% CI 25.8-53.2%] during the Delta wave and 31.0% [95% CI 19.4-40.9%] during the Omicron wave and that mask wearing reduced the risk of infection by 64.2% [95% CI 5.8-77.3%] during the Omicron wave. By harnessing commonly-collected contact tracing data, the approach can broadly provide timely and actionable estimates of intervention efficacy against a rapidly evolving pathogen.

Understanding the challenges to COVID-19 vaccines and treatment options, herd immunity and probability of reinfection

Unlike pandemics in the past, the outbreak of coronavirus disease 2019 (COVID-19), which rapidly spread worldwide, was met with a different approach to control and measures implemented across affected countries. The lack of understanding of the fundamental nature of the outbreak continues to make COVID-19 challenging to manage for both healthcare practitioners and the scientific community. Challenges to vaccine development and evaluation, current therapeutic options, convalescent plasma therapy, herd immunity, and the emergence of reinfection and new variants remain the major obstacles to combating COVID-19. This review discusses these challenges in the management of COVID-19 at length and highlights the mechanisms needed to provide better understanding of this pandemic.

Maternal COVID-19 infection and the fetus: Immunological and neurological perspectives

Immunoneuropsychiatry is an emerging field about the interaction between the immune and nervous systems. Infection and infection-related inflammation (in addition to genetics and environmental factors) can act as the etiopathogenesis of neuropsychiatric disorders (NPDs). Exposure to COVID-19 in utero may be a risk factor for developing NPDs in offspring in the future. Maternal immune activation (MIA) and subsequent inflammation can affect fetal brain development. Inflammatory mediators, cytokines, and autoantibodies can pass through the placenta and the compromised blood-brain barrier after MIA, leading to neuroinflammation. Neuroinflammation also affects multiple neurobiological pathways; for example, it decreases the production of the neurotransmitter serotonin. Fetal sex may affect the mother's immune response. Pregnant women with male fetuses have been reported to have decreased maternal and placental humoral responses. This suggests that in pregnancies with a male fetus, fewer antibodies may be transferred to the fetus and contribute to males' increased susceptibility/vulnerability to infectious diseases compared to female infants. Here, we want to discuss maternal COVID-19 infection and its consequences for the fetus, particularly the neurological outcomes and the interaction between fetal sex and possible changes in maternal immune responses.

A systematic review and meta-analysis on prevalence and antimicrobial resistance profile of Escherichia coli isolated from water in africa (2000-2021)

Water is essential for the survival of humans, animals and plants. Numerous research has been conducted on the prevalence and antibiotic resistance of Escherichia coli (E. coli) in water from various African countries, however, there is lack of comprehensive analysis of published literature. We conducted a systematic review and meta-analysis following the PRISMA guidelines where articles published in English language between January 2000 and March 2022 were searched from ScienceDirect, PubMed, Google Scholar, Scopus, African Journal Online (AJO), and Africa Index Medicus (AIM). Comprehensive Meta-Analysis (CMA) Ver 3.0 software was used to analyze the data. The pooled prevalence estimate (PPE) with 95% confidence interval was calculated using the random-effects model (CI). The overall PPE and antimicrobial resistance trends of E. coli isolated from water was screened from 4009 isolates which were isolated from 2586 samples. We extracted data from 17 studies including drinking water (n = 6), rivers (n = 5), wastewaters (n = 4) and wastewater/river (n = 1) which are all covering 27 countries in Africa with 3438 isolates. The PPE of E. coli in water was 71.7% (0.717; 95% CI: 0.562-0.833). The highest PPE antibiotic resistance was against penicillin followed by erythromycin, and ampicilin with resistance rates of 93.4%, 92.3%, and 69.4%, respectively. This systematic review provides critical evidence of E. coli consolidated prevalence and antibiotic resistance profiles, as well as regions where future studies and enhanced reporting could be beneficial in the African continent.

Polyaniline-based 3D network structure promotes entrapment and detection of drug-resistant bacteria

Sensitive and accurate capture, enrichment, and identification of drug-resistant bacteria on human skin are important for early-stage diagnosis and treatment of patients. Herein, we constructed a three-dimensional hierarchically structured polyaniline nanoweb (3D HPN) to capture, enrich, and detect drug-resistant bacteria on-site by rubbing infected skins. These unique hierarchical nanostructures enhance bacteria capture efficiency and help severely deform the surface of the bacteria entrapped on them. Therefore, 3D HPN significantly contributes to the effective and reliable recovery of drug-resistant bacteria from the infected skin and the prevention of potential secondary infection. The recovered bacteria were successfully identified by subsequent real-time polymerase chain reaction (PCR) analysis after the lysis process. The molecular analysis results based on a real-time PCR exhibit excellent sensitivity to detecting target bacteria of concentrations ranging from 102 to 107 CFU/mL without any fluorescent signal interruption. To confirm the field applicability of 3D HPN, it was tested with a drug-resistant model consisting of micropig skin similar to human skin and Klebsiella pneumoniae carbapenemase-producing carbapenem-resistant Enterobacteriaceae (KPC-CRE). The results show that the detection sensitivity of this assay is 102 CFU/mL. Therefore, 3D HPN can be extended to on-site pathogen detection systems, along with rapid molecular diagnostics through a simple method, to recover KPC-CRE from the skin.

Rate, risk factors and estimations of time to develop severe acute malnutrition after children receiving antiretroviral therapy at selected health facilities in northwest Ethiopia

Severe acute malnutrition (SAM) affects up to 50 % of children with HIV, especially those who reside in resource-constrained healthcare setting like Ethiopia. During subsequent follow-up of children factors related to incidence of SAM after antiretroviral therapy (ART) is set on, however, there is no prior evidence. An institution-based retrospective cohort study was employed among 721 HIV-positive children from 1 January to 30 December 2021. Data were entered using Epi-Data version 3.1 and exported to STATA version 14 for analysis. Bi-variable and multivariable Cox-proportional hazard models were employed at 95 % confidence intervals to identify significant predictors for SAM. According to this result, the overall mean (±sd) age of the participants was found to be 9⋅83 (±3⋅3) years. At the end of the follow-up period, 103 (14⋅29 %) children developed SAM with a median time of 30⋅3 (13⋅4) months after ART initiation. The overall incidence density of SAM was found to be 5⋅64 per 100 child (95 % CI 4⋅68, 6⋅94). Children with CD4 counts below the threshold [AHR 2⋅6 (95 % CI 1⋅2, 2⋅9, P = 0⋅01)], disclosed HIV status [AHR 1⋅9 (95 % CI 1⋅4, 3⋅39, P = 0⋅03)] and Hgb level ≤10 mg/dl [AHR 1⋅8 (95 % CI 1⋅2, 2⋅9, P = 0⋅03)] were significant predictors for SAM. Significant predictors of acute malnutrition were having a CD4 count below the threshold, children who had previously reported their HIV status, and having haemoglobin <10 mg/dl. To ensure better health outcomes, healthcare practitioners should improve earlier nutritional screening and consistent counselling at each session of care.

Screening visual environment impact factors and the restorative effect of four visual environment components in large-space alternative care facilities

Alternative care facilities (ACFs) based on large-space public buildings were widely used early at the start of the coronavirus disease 2019 (COVID-19) pandemic. However, studies have shown that the indoor spatial environment of ACFs can significantly induce mental health problems among users. Thus, this study hypothesizes that improving the visual environment in the interiors of large-space ACFs may reduce mental health problems among users. To verify this hypothesis, this study used critical analysis to screen the influencing factors and used analytic hierarchy process analysis to determine the weights. Particularly, the analyses were based on ACF research in Wuhan and questionnaire surveys of patients with experience using ACFs. Subsequently, virtual reality experiments were conducted to measure physiological indicators and subjective questionnaire collection based on the orthogonal experimental design of the four screened visual environment components. The results revealed the following related to large-space ACFs: 1) Lifestyle support was the most dominant patient requirement and preference for the visual environment. 2) The visual environment can influence the participants' efficiency of psychological stress relief, emotional regulation, and subjective perception. 3) Different design characteristics of the four visual environment components were causally related to restorative effects. To the best of our knowledge, this is the first study analyzing patients' preferences and psychological needs for the visual environment of large-space ACFs and combining subjective and objective measures to investigate the restorative effects of the visual environment. Improving the quality of the visual environment in large-space ACFs presents an effective intervention for alleviating the psychological problems of admitted patients.

MasitinibL shows promise as a drug-like analog of masitinib that elicits comparable SARS-Cov-2 3CLpro inhibition with low kinase preference

SARS-CoV-2 infection has led to several million deaths worldwide and ravaged the economies of many countries. Hence, developing therapeutics against SARS-CoV-2 remains a core priority in the fight against COVID-19. Most of the drugs that have received emergency use authorization for treating SARS-CoV-2 infection exhibit a number of limitations, including side effects and questionable efficacy. This challenge is further compounded by reinfection after vaccination and the high likelihood of mutations, as well as the emergence of viral escape mutants that render SARS-CoV-2 spike glycoprotein-targeting vaccines ineffective. Employing de novo drug synthesis or repurposing to discover broad-spectrum antivirals that target highly conserved pathways within the viral machinery is a focus of current research. In a recent drug repurposing study, masitinib, a clinically safe drug against the human coronavirus OC43 (HCoV-OC43), was identified as an antiviral agent with effective inhibitory activity against the SARS-CoV-2 3CLpro. Masitinib is currently under clinical trial in combination with isoquercetin in hospitalized patients (NCT04622865). Nevertheless, masitinib has kinase-related side effects; hence, the development of masitinib analogs with lower anti-tyrosine kinase activity becomes necessary. In this study, in an attempt to address this limitation, we executed a comprehensive virtual workflow in silico to discover drug-like compounds matching selected pharmacophore features in the SARS-CoV-2 3CLpro-bound state of masitinib. We identified a novel lead compound, "masitinibL", a drug-like analog of masitinib that demonstrated strong inhibitory properties against the SARS-CoV-2 3CLpro. In addition, masitinibL further displayed low selectivity for tyrosine kinases, which strongly suggests that masitinibL is a highly promising therapeutic that is preferable to masitinib.

Do We Learn From Errors? The Economic Impact of Differentiated Policy Restrictions in Italy

This paper investigates the economic impact of the three tiers risk framework implemented in Italy against the COVID-19 pandemic during the Autumn of 2020. Exploiting a large-scale dataset encompassing daily credit card transactions mediated by a large Italian bank, we estimate a set of panel event study models to disentangle the impact of restrictions with low, medium and high stringency levels in terms of consumption reduction. We show that space-time differentiated policies tend to produce stronger welfare losses for progressively more stringent restrictions in specific sectors targeted by these policies such as Retail and Restaurants. However, when we compare provinces implementing the same level of policy stringency, we show that territories with higher income per capita and larger concentration of manufacturing and service activities experience both significantly worse economic and epidemiological performances. Overall, our results suggest that policy makers should properly account for local socio-economic characteristics when designing tailored restrictions entailing an equal and homogeneous impact across territories.

A case of Co-infection COVID-19 and influenza with psychotic symptoms

Coronavirus disease 2019 (COVID-19), is a pandemic disease that has appeared in recent years with different symptoms and manifestations. This disease has Co-infection with other infections and has aggravated the symptoms in patients. This study was conducted with the aim of reporting a case of Co-infection COVID-19 and influenza with psychotic symptoms. In this study, the manifestations of a case of co-infection with COVID-19 and influenza with psychotic symptoms were discussed in Shahroud city in Iran in 2022. Based on this, the patient's laboratory, pathological and therapeutic findings were investigated. The patient, a 16-year-old boy, had symptoms of fever, chills, cough, body pain, and headache with seizures and delirium. Reverse transcription-polymerase chain reaction tests for covid-19 and influenza were positive, but no abnormalities were observed in laboratory variables and graphs. The patient was treated for psychotic disorders for 40 days and then recovered.

The role of selenium and nano selenium on physiological responses in plant: a review

Selenium (Se), being an essential micronutrient, enhances plant growth and development in trace amounts. It also protects plants against different abiotic stresses by acting as an antioxidant or stimulator in a dose-dependent manner. Knowledge of Se uptake, translocation, and accumulation is crucial to achieving the inclusive benefits of Se in plants. Therefore, this review discusses the absorption, translocation, and signaling of Se in plants as well as proteomic and genomic investigations of Se shortage and toxicity. Furthermore, the physiological responses to Se in plants and its ability to mitigate abiotic stress have been included. In this golden age of nanotechnology, scientists are interested in nanostructured materials due to their advantages over bulk ones. Thus, the synthesis of nano-Se or Se nanoparticles (SeNP) and its impact on plants have been studied, highlighting the essential functions of Se NP in plant physiology. In this review, we survey the research literature from the perspective of the role of Se in plant metabolism. We also highlight the outstanding aspects of Se NP that enlighten the knowledge and importance of Se in the plant system.

Graphical abstract

An indirect comparison of 144-week efficacy, safety, and tolerability of dolutegravir plus lamivudine and second-generation integrase inhibitor-based, 3-drug, single-tablet regimens in therapy-naive people with HIV-1

BACKGROUND

The long-term efficacy and safety of the 2-drug regimen dolutegravir (DTG) + lamivudine (3TC) and 3-drug single-tablet regimens recommended for antiretroviral therapy (ART)-naive people with HIV-1 (PWH) have yet to be compared directly in clinical trials. This indirect treatment comparison (ITC) was conducted to compare the durability of efficacy and long-term safety of DTG + 3TC vs second-generation, integrase strand transfer inhibitor (INSTI)-based, 3-drug, single-tablet regimens bictegravir/emtricitabine/tenofovir alafenamide (BIC/FTC/TAF) and DTG/abacavir/3TC (DTG/ABC/3TC) at Week 144 after treatment initiation.

METHODS

A systematic literature review identified 4 trials evaluating the treatment regimens of interest in ART-naive PWH (GEMINI-1, GEMINI-2, GS-US-380-1489, and GS-US-380-1490). Safety, efficacy, and tolerability results were compared using fixed-effects Bucher ITC methodology to calculate relative outcomes.

RESULTS

Rates of virologic suppression (HIV-1 RNA < 50 copies/mL, US Food and Drug Administration Snapshot analysis) and virologic failure (HIV-1 RNA ≥ 50 copies/mL) as well as mean change in CD4 + cell count were similar with DTG + 3TC, BIC/FTC/TAF, and DTG/ABC/3TC at Week 144. Serious adverse events occurred less frequently with DTG + 3TC compared with both BIC/FTC/TAF (odds ratio [OR], 0.51; 95% CI 0.29-0.87; P = 0.014) and DTG/ABC/3TC (OR, 0.38; 95% CI 0.19-0.75; P = 0.006). Discontinuations and overall adverse events were similar across all 3 regimens.

CONCLUSIONS

These results suggest that the 2-drug regimen DTG + 3TC offers comparable and durable efficacy with fewer serious adverse events vs BIC/FTC/TAF and DTG/ABC/3TC through 144 weeks of treatment in ART-naive PWH. These long-term comparative data support the therapeutic value of DTG + 3TC for PWH.

Computational network analysis of host genetic risk variants of severe COVID-19

BACKGROUND

Genome-wide association studies have identified numerous human host genetic risk variants that play a substantial role in the host immune response to SARS-CoV-2. Although these genetic risk variants significantly increase the severity of COVID-19, their influence on body systems is poorly understood. Therefore, we aim to interpret the biological mechanisms and pathways associated with the genetic risk factors and immune responses in severe COVID-19. We perform a deep analysis of previously identified risk variants and infer the hidden interactions between their molecular networks through disease mapping and the similarity of the molecular functions between constructed networks.

RESULTS

We designed a four-stage computational workflow for systematic genetic analysis of the risk variants. We integrated the molecular profiles of the risk factors with associated diseases, then constructed protein-protein interaction networks. We identified 24 protein-protein interaction networks with 939 interactions derived from 109 filtered risk variants in 60 risk genes and 56 proteins. The majority of molecular functions, interactions and pathways are involved in immune responses; several interactions and pathways are related to the metabolic and cardiovascular systems, which could lead to multi-organ complications and dysfunction.

CONCLUSIONS

This study highlights the importance of analyzing molecular interactions and pathways to understand the heterogeneous susceptibility of the host immune response to SARS-CoV-2. We propose new insights into pathogenicity analysis of infections by including genetic risk information as essential factors to predict future complications during and after infection. This approach may assist more precise clinical decisions and accurate treatment plans to reduce COVID-19 complications.

Arbovirus circulation, epidemiology and spatiotemporal distribution in Uganda

Background

Arboviruses are endemic in Uganda; however, little is known about their epidemiology, seasonality and spatiotemporal distribution. Our study sought to provide information on arbovirus outbreaks from acute clinical presentations.

Methods

Immunoglobulin M (IgM) and confirmatory Plaque Reduction Neutralisation Test (PRNT) results for arbovirus diagnosis of samples collected from patients attending sentinel sites from 2016-19 were analysed retrospectively. Demographic data were analysed with SaTScan and SPSS software to determine the epidemiology and spatiotemporal distribution of arboviruses.

Results

Arbovirus activity peaked consistently during March-May rainy seasons. Overall, arbovirus seroprevalence was 9.5%. Of 137 IgM positives, 52.6% were confirmed by PRNT, of which 73.6% cases were observed in central Uganda with Yellow Fever Virus had the highest prevalence (27.8%). The 5-14 age group were four times more likely to be infected with an arbovirus p=0.003, 4.1 (95% CI 1.3-12.3). Significant arboviral activity was observed among outdoor workers(p=0.05) . Spatiotemporal analysis indicated arboviral activity in 23 of the 85 districts analysed..

Interpretation

Our study shows that arbovirus activity peaks during the March-May rainy season and highlights the need for YFV mass vaccination to reduce the clinical burden of arboviruses transmitted within the region.

Clinical profile and Predictors of Outcomes of Hospitalized Patients with Laboratory-Confirmed Severe Acute Respiratory Syndrome Coronavirus 2 in Nigeria: A Retrospective Analysis of 13 High Burden States in Nigeria

Background

The majority of global COVID deaths have occurred in developed countries. Not much is known about the clinical outcomes for the patients admitted with COVID in Nigeria. We thus described the clinical characteristics, outcomes, and predictors of outcomes of hospitalized Nigerian COVID-19 patients.

Methodology

We performed multilevel and mixed effects regression, Kaplan-Meir survival, and Cox proportionate hazards analyses to evaluate factors associated with death in patients admitted for COVID-19 in 13 high-burden states of Nigeria between 25th February 2020 and 30th August 2021.

Results

Of the 3462 patients (median age, 40 years (interquartile range 28 years 54 years), 2,990(60.6%) were male and, 213(6.15%) of them died while on admission. Male sex (adjusted odds ratio [aOR], 1.78 [95% confidence interval {CI}, 1.23-2.56]), age group 45-65 years (OR, 3.93 [95% CI, 1.29-12.02]), age group 66-75 years (aOR, 5.37 [95% CI, 1.68-17.14]), age group > 75 years (aOR, 6.81 [95% CI, 2.04-22.82]), chronic cardiac disease (aOR, 3.07 [95% CI, 1.20-7.86]), being diabetic (aOR, 2.16 [95% CI, 1.41-3.31]), and having chronic kidney disease (OR, 11.01 [95% CI, 2.74-44.24]),were strongly associated with increased odds of death. Having concurrent malaria (aOR, 0.45 [95% CI, 0.16-1.28]), use of Azithromycin for treatment (aOR, 0.33 [95% CI, 0.19-0.54]), and use of Chloroquine/Hydroxychloroquine for treatment (aOR, 0.07 [95% CI, 0.03-0.14]) were significantly associated with decreased odds of death.

Conclusions

The cumulative probability of death of male patients, diabetics, hypertensives, and patients with CKD was higher than that of female patients and those without those comorbidities while concurrent malaria and use of chloroquine/hydroxychloroquine in the treatment regimen were associated with a decreased risk of dying in patients treated in our isolation centers.

Clinical determinants of oxygen saturation and length of hospitalisation of COVID-19 patients: A cross-sectional study in Indonesia

Aims

Indonesia was one of the countries with the highest COVID-19 positive cases. Understanding the length of hospitalisation is critical for anticipating bed demand and resource allocation, such as oxygen. This study aims to examine the determinants of oxygen saturation and the length of hospitalisation in Hermina Mekarsari Hospital, West Java, Indonesia.

Methods

This cross-sectional study uses medical records from June to August 2021. The inclusion criteria were: COVID-19 patients aged between18 and 65, fully conscious, and not using mechanical ventilation. Participants who passed away during hospital stay were excluded. We used demographic information, laboratory data, and the clinician's assessments of the patients admitted to the hospital. Linear regression was performed for oxygen saturation on day seven, while logistic regression analysis was conducted to predict the length of hospital stay.

Results

In total, 371 participants with an average age of 47.2 (standard deviation 15.8) years were included. Most participants were female (57.7%) and smoking (78.4%). The results indicated that decreasing oxygen saturation was reported in vomiting patients (β = 1.63, p-value = .001), hypertensive patients (β 1.18 with, p-value = .034), and patients with the increased respiratory rate (β = 0.28, p-value = .000). In the logistic regression, we found that respondents who experienced dyspnoea, headache, fever, an increasing number of D-Dimer and blood glucose, and those with diabetes mellitus were more likely to stay more than 14 days.

Conclusions

Oxygen saturation was influenced by vomiting, hypertension, and increasing respiratory rate. Length of hospitalisation of more than 14 days was influenced by dyspnoea, headache, fever, increased number of D-Dimer, blood glucose, and diabetes mellitus. Identifying the determinants of oxygen saturation and length of stay can inform health professionals in designing a suitable intervention to reduce mortality and length of stay among COVID-19 patients in Indonesia.

Virtual screening and computational simulation analysis of antimicrobial photodynamic therapy using propolis-benzofuran A to control of Monkeypox

BACKGROUND

Monkeypox is a viral zoonotic disease and there are no available treatments that specifically target the monkeypox virus. Antimicrobial photodynamic therapy (aPDT) is a non-invasive approach that has been introduced as a targeted adjuvant treatment against various microbial infections. In this study, we used a computational strategy to investigate the potential of aPDT using propolis-benzofuran A against the Monkeypox virus.

METHODS

In this in silico study, the evaluation of drug-likeness, molecular properties, and bioactivity of propolis-benzofuran A was carried out using SwissADME. Pro-Tox II and OSIRIS servers were used to identify the organ toxicities and toxicological endpoints of propolis-benzofuran A. Molecular docking approach was employed to screen the potential binding modes of propolis-benzofuran A ligand with the Monkeypox virus A48R protein (PDB ID: 2V54).

RESULTS

The results of the computational investigation revealed that propolis-benzofuran A obeyed all the criteria of Lipinski's rule of five and exhibited drug-likeness. The photosensitizing agent tested was categorized as toxicity class-5 and was found to be non-hepatotoxic, non-carcinogenic, non-mutagenic, and non-cytotoxic. The docking studies employing a predicted three-dimensional model of Monkeypox virus A48R protein with propolis-benzofuran A ligand exhibited good binding affinity (-7.84 kcal/mol).

DISCUSSION

The computational simulation revealed that propolis-benzofuran A had a strong binding affinity with the Monkeypox virus A48R protein. Hence, aPDT based on this natural photosensitizer can be proposed as an adjuvant treatment against the Monkeypox virus.

Influence of geospatial resolution on sociodemographic predictors of COVID-19 in Massachusetts

PURPOSE

When studying health risks across a large geographic region such as a state or province, researchers often assume that finer-resolution data on health outcomes and risk factors will improve inferences by avoiding ecological bias and other issues associated with geographic aggregation. However, coarser-resolution data (e.g., at the town or county-level) are more commonly publicly available and packaged for easier access, allowing for rapid analyses. The advantages and limitations of using finer-resolution data, which may improve precision at the cost of time spent gaining access and processing data, have not been considered in detail to date.

METHODS

We systematically examine the implications of conducting town-level mixed-effect regression analyses versus census-tract-level analyses to study sociodemographic predictors of COVID-19 in Massachusetts. In a series of negative binomial regressions, we vary the spatial resolution of the outcome, the resolution of variable selection, and the resolution of the random effect to allow for more direct comparison across models.

RESULTS

We find stability in some estimates across scenarios, changes in magnitude, direction, and significance in others, and tighter confidence intervals on the census-tract level. Conclusions regarding sociodemographic predictors are robust when regions of high concentration remain consistent across town and census-tract resolutions.

CONCLUSIONS

Inferences about high-risk populations may be misleading if derived from town- or county-resolution data, especially for covariates that capture small subgroups (e.g., small racial minority populations) or are geographically concentrated or skewed (e.g., % college students). Our analysis can help inform more rapid and efficient use of public health data by identifying when finer-resolution data are truly most informative, or when coarser-resolution data may be misleading.

Blockchain-based privacy and security preserving in electronic health: a systematic review

In today's world, health and medicine play an undeniable role in human life. Traditional and current Electronic Health Records (EHR) systems that are used to exchange information between medical stakeholders (patients, physicians, insurance companies, pharmaceuticals, medical researchers, etc.) suffer weaknesses in terms of security and privacy due to having centralized architecture. Blockchain technology ensures the privacy and security of EHR systems thanks to the use of encryption. Moreover, due to its decentralized nature, this technology prevents central failure and central attack points. In this paper, a systematic literature review (SLR) is proposed to analyze the existing Blockchain-based approaches for improving privacy and security in electronic health systems. The research methodology, paper selection process, and the search query are explained. 51 papers returned from our search criteria published between 2018 and Dec 2022 are reviewed. The main ideas, type of Blockchain, evaluation metrics, and used tools of each selected paper are discussed in detail. Finally, future research directions, open challenges, and some issues are discussed.

Reduced IFN-γ levels along with changes in hematologic and immunologic parameters are key to COVID-19 severity in Bangladeshi patients

The manifestation of coronavirus disease 2019 (COVID-19) severity and mortality has been associated with dysregulation of the immune response, often influenced by racial disparities and conferred by changes in hematologic and immunologic parameters. These biological and hematologic parameters as well as cytokine profiles were investigated in a cohort of 61 COVID-19-positive patients (categorized into mild, moderate, and severe groups) from Bangladesh using standard analytical methods. The data reported that the interleukin (IL)-4 and IL-6 levels were significantly increased, whereas the levels of interferon (IFN)-γ were significantly reduced in patients with severe COVID-19 (p < 0.05) compared with those in patients with mild and/or moderate COVID-19. The extent of erythrocyte sedimentation rate (ESR); neutrophil count; and levels of ferritin, C-reactive protein (CRP), and D-dimer (p < 0.05) were found to be significantly increased, whereas the white blood cell (WBC), lymphocyte, eosinophil, and platelet counts (p < 0.05) were observed to be significantly reduced in patients with severe COVID-19 compared with those in the patients in other 2 groups. Our study exhibited a significantly higher IL-6-to-lymphocyte ratio in patients with severe COVID-19 than in those with mild and moderate COVID-19. The calculated neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and ferritin-to-ESR ratio were significantly increased in patients with severe COVID-19. The increase in the IL-4 and IL-6 levels along with CRP and D-dimer levels may envisage a hyperinflammatory environment and immune dysregulation, which contribute to prolonged viral persistence, leading to severe disease. However, the reduced level of IFN-γ can be attributed to a less fatality toll in Bangladesh compared with that in the rest of the world.

Comparison of the efficacy of equivalent doses of dexamethasone, methylprednisolone, and hydrocortisone for treatment of COVID-19-related acute respiratory distress syndrome: a prospective three-arm randomized clinical trial

BACKGROUND

This prospective controlled clinical trial aimed to compare the efficacy of methylprednisolone, dexamethasone, and hydrocortisone at equivalent doses in patients with severe COVID-19.

METHODS

In total, 106 patients with mild to moderate COVID-19-related acute respiratory distress syndrome (ARDS) were randomized to receive either dexamethasone (6 mg once a day), methylprednisolone (16 mg twice a day), or hydrocortisone (50 mg thrice a day) for up to 10 days. All participants received a standard of care for COVID-19. The primary and secondary efficacy outcomes included all-cause 28-day mortality, clinical status on day 28 assessed using the World Health Organization (WHO) eight-category ordinal clinical scale, number of patients requiring mechanical ventilation and intensive care unit (ICU) care, number of ventilator-free days, length of hospital and ICU stay, change in PaO₂:FiO₂ ratios during the first 5 days after treatment, and incidence of serious adverse events. P-values below 0.008 based on Bonferroni's multiple-testing correction method were considered statistically significant.

RESULTS

According to the obtained results, there was a trend toward more favorable clinical outcomes in terms of needing mechanical ventilation and ICU care, number of ventilator-free days, change in PaO₂:FiO₂ ratios during the first 5 days after treatment, clinical status score at day 28, length of ICU and hospital stay, and overall 28-day mortality in patients receiving dexamethasone compared to those receiving methylprednisolone or hydrocortisone; however, likely due to the study's small sample size, the difference between groups reached a significant level only in the case of clinical status score on day 28 (p-value = 0.003). There was no significant difference in the incidence of serious adverse events between the study groups.

CONCLUSION

Based on the results, severe cases of COVID-19 treated with dexamethasone might have a better clinical status at 28-day follow-up compared to methylprednisolone and hydrocortisone at an equivalent dose. Larger multicenter trials are required to confirm our findings.

Clinical characteristics and management of 106 patients with pyogenic liver abscess in a traditional Chinese hospital

This is a retrospective study of clinical data from 106 patients with pyogenic liver abscess (PLA) treated in a traditional Chinese hospital during the eight years preceding this publication. We aimed to provide evidence to improve the diagnosis accuracy and the treatment strategies for PLAs. We collected records of patients treated at the Guangxing Hospital, which is affiliated to the Zhejiang Traditional Chinese University in Hangzhou, and we collected their general background information, laboratory and imaging features, and clinical manifestations and outcomes to perform a retrospective analysis. Diabetes mellitus (45.3%, 48/106), biliary calculi (36.8%, 39/106), and history of abdominal surgery (15.1%, 16/106) were the three most common PLA risk factors present in our cohort. Fever and chills (95.3%, 101/106), right upper quadrant pain/epigastric discomfort (68.9%, 73/106), nausea and vomiting (38.8%, 41/106), and cough and sputum (14.2%, 15/106) were the most common clinical manifestations of PLA. Most patients had the abscesses in the right liver lobe, and the most commonly found bacteria were Klebsiella pneumoniae (54.8%, 42/76), Escherichia coli (35.1%, 27/76), and Streptococcus pneumoniae (3.9%, 3/76). Liver Doppler ultrasound is a conventional and effective method to identify liver abscesses. Most patients were treated using a percutaneous puncture under B-ultrasound guidance. Most patients (n = 104 or 98.1%) were cured, one patient (0.9%) died, and one was discharged with multiple abscesses post treatment.

Using geospatial social media data for infectious disease studies: a systematic review

Geospatial social media (GSM) data has been increasingly used in public health due to its rich, timely, and accessible spatial information, particularly in infectious disease research. This review synthesized 86 research articles that use GSM data in infectious diseases published between December 2013 and March 2022. These articles cover 12 infectious disease types ranging from respiratory infectious diseases to sexually transmitted diseases with spatial levels varying from the neighborhood, county, state, and country. We categorized these studies into three major infectious disease research domains: surveillance, explanation, and prediction. With the assistance of advanced statistical and spatial methods, GSM data has been widely and deeply applied to these domains, particularly in surveillance and explanation domains. We further identified four knowledge gaps in terms of contextual information use, application scopes, spatiotemporal dimension, and data limitations and proposed innovation opportunities for future research. Our findings will contribute to a better understanding of using GSM data in infectious diseases studies and provide insights into strategies for using GSM data more effectively in future research.

[Risk factors at admission associated with intubation in patients with COVID-19]

Background

Intubation rates up to 33% have been found in patients diagnosed with COVID-19. Some cohorts have reported the presence of dyspnea in 84.1% of intubated patients, being this the only symptom associated with intubation. Oxygen saturation < 90% and increased respiratory rate have also been described as predictors of intubation.

Objective

To analyze the risk factors associated with intubation in patients hospitalized for COVID-19 at their admission.

Material and methods

An observational, retrospective, analytical, cross-sectional study was carried out. The universe of study consisted of patients over 18 years of age hospitalized due to a diagnosis of SARS-CoV-2 virus infection from April 1, 2020 to April 31, 2021 in the Hospital de Especialidades (Specialties Hospital) "Dr. Bernardo Sepúlveda Gutiérrez" at the National Medical Center.

Results

The mean age of intubated patients was 59.17 years (95% confidence interval [95% CI] -9.994 to -3.299, p < 0.001). Overall, 76.7% (230) of patients had a history of one or more preexisting comorbidities, including hypertension in 42.3% (127), obesity in 36.7% (110), and diabetes mellitus in 34.3% (103).

Conclusions

The main clinical characteristics of patients hospitalized for COVID-19 in our center who required intubation are very similar to those observed in different centers, including male sex, age over 50 years and obesity, which were the most common.