The COVID-19 pandemic significantly destructs the rhythm of global modern human civilization but worldwide lockdown radically recovers the health of the total environment. The Himalayan trans-boundary rivers provide huge provisional, regulatory and cultural ecosystem services to millions of people throughout the year but in the recent years the water quality is being deteriorated due to multiple reasons. In the last decade, India-Bangladesh political relationship has been slightly broken down due to water sharing and environmental flow of rivers.The COVID-19 lockdown offered a great scope to execute the comparative study among pre, lockdown and unlock phase. The research attempts to investigate the spatiotemporal water quality of trans-boundary rivers through WAWQI and irrigation water quality indices such as Sodium absorption ratio, Soluble sodium percentage, Potential salinity, Magnesium hazard and Kelly\'s index considering eighteen water quality parameters (pH, EC, TDS, TSS, Ca²⁺, Mg²⁺, Na²⁺, K⁺, F-, Cl-, NO3-, SO₄²-, PO43-, DO, T, TUR, COD and BOD). The result shows the strong positive correlation between EC and TDS during three phases. Significant reduction of BOD, COD and TUR has been noticed almost 70% stations during lockdown compared with prelockdown while augmentation of DO has been recorded around 40% stations. WQI of most of the stations shows around 80% improvement of water quality during lockdown period. Moreover, worst kind of WQI was found in the Mathabhanga-Churni river followed by Mahananda. During lockdown, the striking results show that SAR and MH were significantly amplified in most of the stations due to agricultural run-off.

Transmissible Covid-19, caused by novel corona virus since last of 2019 has outspread widely until now. Where, India was the second most affected country and 3rd in mortality rate. In world ancient history, medicinal plants were played a crucial role to cure several diseases. In present study, we show some novel natural medicinal plant metabolites as the potential inhibitors against papain-like protease (PLpro), main protease (Mpro) and RNA-dependent RNA polymerase (RdRp), transmembrane proteinase Serine 2 (TMPRSS2) and angiotensin converting enzyme-2 (ACE-2) of Covid-19. Plant metabolites were having been proven to inhibit SARS-CoVs, which also actively walkable against Covid-19.

Viruses are biologically active parasites that only exist inside a host they are submicroscopic level. The novel coronavirus disease, or COVID-19, is generally caused by the SARS-CoV-2 virus and is comparable to severe acute respiratory syndrome (SARS). As a result of globalization, natural alterations or changes in the SARS-CoV-2 have created significant risks to human health over time. These viruses can live and survive in different ways in the atmosphere unless they reach another host body. At this stage, we will discuss the details of the transmission and detection of this deadly SARS-CoV-2 virus via certain environmental media, such as the atmosphere, water, air, sewage water, soil, temperature, relative humidity, and bioaerosol, to better understand the diffusion, survival, infection potential and diagnosis of COVID-19.

Safe and adequate quantity of water is crucial for the implementation of infection prevention and control measures during the prevention of COVID-19. Rainwater harvesting could be an optional water source to fulfill or support the emergency water demand in areas where there is abundant rainfall. The study aimed to assess the rainwater harvesting potential and storage requirements for households and selected institutions and to determine its adequacy to satisfy the emergency water demand for the prevention of COVID-19 in Dilla town, Southern Ethiopia. Rainwater harvesting potential for households and selected institutions were quantified using 17 years\' worth of rainfall data from the Ethiopian Meteorology Agency. To address the rainfall variability, we computed the confidence limits of monthly harvest-able rainwater potential using confidence intervals about the mean as well as confidence intervals using Coefficient of Variation (COV) of monthly rainfall. The storage requirements were also estimated by considering the driest and west seasons and months. The average annual rainfall in Dilla town was 1464 mm. Households with a roof area of 40 and 100 m2 have the potential to harvest 7.2-39.66 m3 and 19.11-105.35 m3 of rainwater respectively. Similarly, the rainwater harvesting potential for the selected institutions was in the range of 34524.5-190374.5, 4070.8-14964.8 , 1140.4-6288.6, 4561.7-25154.3, 5605.8-14152.8 , and 402.4-2219.1 m3 of rainwater for colleges, vocational schools, secondary schools, primary schools, Dilla University Referral Hospital and health centers respectively. These institutional rainwater harvesting potentials can address, 24-132.2, 222.4 -817.8, 59.4-327.3, 34.6-190.9, 94.5-238.5, and 28.2-155.7 % of the colleges, vocational schools, secondary schools, primary schools, Dilla University referral hospital, and, health centers emergency water demand respectively. Rainwater can be an alternative water source for the town in the prevention and control of COVID-19. Further applied researches must be conducted that can address the rainwater quality and treatment for ease of use.

Coronavirus disease 2019 (COVID-19), an infection caused by severe acute respiratory syndrome coronavirus-type 2 (SARS-CoV-2), has emerged as a serious threat to public health. Liver transplant (LT) recipients may be at increased risk of acquisition of SARS-CoV-2 infection and higher morbidity and mortality due to constant contact with health-care services, the use of immunosuppressants and frequent comorbidities. In the first part of this review we discuss (1) the epidemiology and risk factors for SARS-CoV-2 infection in LT recipients; (2) the clinical and laboratory features of COVID-19 in this specific population, highlighting differences in presenting signs and symptoms with respect to general populations and (3) the natural history and prognostic factors in LT recipients hospitalized with COVID-19, with particular focus on the possible role of immunosuppression. Thereafter, we review the potential therapeutic options for COVID-19 treatment and prevention. Specifically, we give an overview of current practice in immunosuppressant regimen changes, showing the potential benefits of this strategy, and explore safety and efficacy issues of currently approved drugs in LT recipients. The last topic is dedicated to the potential benefits and pitfalls of vaccination.

UNASSIGNED: Several vaccines have been approved against COVID-19, and 5 have been used in Indonesia. Due to the decrease in antibody levels 3 to 6 months after the second dose of CoronaVac, healthcare workers received the third booster of mRNA vaccine (mRNA-1273) to increase the antibody level. This study aimed to evaluate the risk factors of anti-S-RBD IgG levels differences in healthcare workers.
UNASSIGNED: This study is a retrospective cohort study of 576 healthcare workers without previous SARS-CoV-2 infection who received 2 doses of CoronaVac and the third dose of mRNA-1273 6 months after the second dose. Blood samples were obtained 2nd, 6th, 12th, and 24th weeks after the second dose of CoronaVac vaccine administration, with mRNA-1273 booster on week 20. Quantitative measurements of IgG antibodies were performed with Elecsys Anti-SARS-CoV-2 S immunoassay. We identify the baseline factors predicting post-vaccination antibody titers using univariate and multivariate linear regression analysis.
UNASSIGNED: This study comprised 576 participants aged 32 years old, 72.05% female, and 45.84% from high-risk occupation subgroups. The median antibodies titer level on the 2nd, 6th, 12th, and 24th weeks after the second vaccine dose administration were 40.99 u/mL, 42.01 u/mL, 54.78 u/mL, and 23,225 u/mL. Antibody levels trended highest in female and younger age group (20-29 years old).
UNASSIGNED: The third dose of vaccine increased the quantitative SARS-CoV-2 spike IgG antibody titers and eliminated differences in antibodies titer by gender.

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Undernutrition in elders remains under-detected, under-treated, and under-resourced and leads to further weight loss, increased infections, and delay in recovery from illness as well as increased hospital admissions and length of stay. The reports of the findings were fragmented and inconsistent in Ethiopia. Therefore, the main objective of this meta-analysis was to estimate the pooled prevalence of undernutrition and its association with dietary diversity among older persons in Ethiopia. Online databases (Medline, PubMed, Scopus, and Science Direct), Google, Google Scholar, and other grey literature were used to search articles until the date of publication. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline was followed. The random effect model was used to estimate the pooled prevalence; whereas subgroup analysis and meta-regression were performed to identify the probable source of heterogeneity using Stata version 14.0 software. Out of 522 studies accessed, 14 met our criteria and were included in the study. A total of 7218 older people (aged above 60 years old) were included in the study. The pooled proportion of undernutrition among older persons in Ethiopia was 20⋅6 % (95 % CI 17⋅3, 23⋅8). Elders who consumed low dietary diversity scores were strongly associated with undernutrition among older persons. Therefore, promoting appropriate intervention strategies for elders to improve dietary diversity practices and nutritional status is crucial.

UNASSIGNED: Chest Computerized Tomography has been widely used in COVID patients\' assessment. Hence the question arises as to whether there is any correlation between the Ct value and findings on Chest CT scan or clinical presentation of the patient. We wanted to test the hypothesis of whether low Ct values (≤30) in RT-PCR were associated with a high mortality rate, CT scan findings, or with comorbidities such as immunosuppression and lung disease.
UNASSIGNED: The radiographic records and RT-PCR Ct values of 371 COVID patents diagnosed at the American University of Beirut Medical Center were reviewed.
UNASSIGNED: We found out that the sensitivity of chest CT scan compared to RT-PCR, the gold standard, turned out to be 74% (95% CI 69-79%). Specificity, on the other hand was 33% (95% CI 16-55%). The positive predictive value of CT was 94% (95% CI 91-97%) and the negative predictive value was 8% (95% CI 4-16%). low Ct values in RT-PCR were not associated with a higher mortality rate (p-value = 0.416). There was no significant positive association between low Ct value and suspicious CT scan findings (typical and indeterminate for COVID-19), with a p-value of 0.078. There was also no significant association between low Ct value and immunosuppression (p-value = 0.511), or lung disease (p-value =0.06). CT scan findings whether suspicious or not for COVID-19 infection, were not shown to be significantly associated with respiratory symptoms of any kind.No association was found between a history of lung disease, immunosuppression and suspicious CT scan findings for COVID-19.
UNASSIGNED: As long as this pandemic exists, nucleic acid testing was and remains the gold standard of COVID-19 diagnosis worldwide and in our community as it has a superior diagnostic accuracy to CT scan and higher sensitivity (94% vs 74%).

The first 2 years of life are a critical window of opportunity for ensuring optimal child growth and development. In Ethiopia, the magnitude of the minimum acceptable diet ranges from 7 to 74⋅6 %. The evidence revealed the variation and unrelated data on the prevalence of minimum acceptable diet. Therefore, the present study aimed to assess the minimum acceptable diet and its associated factors among children aged 6-23 months in Lalibela town administration, northeast Ethiopia. A community-based cross-sectional study was conducted in Lalibela town administration, northeast Ethiopia among 387 mothers/caregivers with children aged 6-23 months from May 1 to 30, 2022. The data were entered by Epidata version 3.1 and analysed by SPSS version 25.0. A multivariable binary logistic regression model was fitted to identify factors associated with minimum acceptable diet. The degrees of association were assessed using an adjusted odds ratio with a 95 % confidence interval and P-value of 0⋅05. The magnitude of minimum acceptable diet in the study area was 16⋅7 % (95 % confidence interval: 12⋅8-20⋅6 %). Sex of child, getting infant and young child feeding counselling at antenatal care, infant feeding practice-related knowledge and childhood illness are the variables that were found to be an independent predictor of minimum acceptable diet. Health facilities should strengthen infant feeding counselling starting from antenatal care visits during pregnancy for the recommended minimum acceptable diet is crucial.