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Background: Disseminated tuberculosis (TB) is the presence of two or more noncontiguous sites resulting from hematogenous dissemination of Mycobacterium tuberculosis. We report a case of disseminated TB with testicular involvement. Case: A 21-year-old male patient presented to the outpatient department with bilateral testicular enlargement and tenderness for last six months. It was suspected to be a case of epididymo-orchitis and empirical antimicrobial therapy was initiated. However, ultrasonography findings were inconsistent with epididymo-orchitis. Two weeks later the patient again presented with increased nodularity in the right testes. Non-seminomatous germ cell tumor was suspected. However, tumor markers came back normal. Magnetic resonance imaging revealed enlarged lymph nodes in the right inguinal and retroperitoneal region raising a suspicion of testicular lymphoma. Positron emission tomography with computed tomography showed multiple lymphadenopathies. Histopathology of the left axillary lymph node finally confirmed the diagnosis to be tuberculosis. No drug resistance were found and the patient responded well to anti-tubercular drugs. Conclusion: Diagnosing disseminated TB is difficult as it mimics conditions, such as infarction, cancer, torsion, etc. Attention to small details is necessary. We faced a similar situation in our patient. The patient went through a myriad of tests before finally being diagnosed with TB. Histopathological study was able to get it whereas cytology could not. Similar and totally opposite cases were found in the literature. This highlights the difficulty and importance of these type of cases.

Social sustainability in fisheries focuses on retaining or improving societal welfare in the fishery system without threatening its long-term financial benefits and socio-cultural welfare. However, often social sustainability issues are ignored while implementing any fisheries management actions rather than only focusing on economic and environmental sustainability issues. This study assesses the social sustainability in Bangladesh marine fisheries management gaining insights from the coastal and marine fisheries-dependent communities of Hatiya Upazila in 2021–2022 using a mixed method approach especially focusing on the social issues during the marine fishing ban. Results have shown positive effects on fish production but negative implications on the socio-economic circumstances of the reliant households after the implementation of the marine fishing ban. During the ban, the ability of around 33 % of fisher households to have 3 meals a day has drastically reduced to 2 or 1 meal per day. Households' average fish intake has reduced from 7 kg to 4 kg per week during the ban. Similarly, there have been detrimental effects on family relationships, healthcare access and children's education during the ban. Moreover, pregnant women and children have suffered greatly from protein deficiencies as fishers could not buy protein-rich foods for their families during the ban. Due to the shortage of alternate income-generating activities (AIGAs), almost 71 % of fishers became indebted during the ban. To assist the fishers during the ban, the government has implemented several measures, such as offering incentives (40 kg of rice per registered fisherman per month) and/or AIGA but those are too scant to recompense for the loss that is incurred due to the fishing ban. Finally, this study provides some way forward to bring social sustainability that is affected due to the marine fishing ban as well as to partly meet the targets of Sustainable Development Goals 1, 2, 14 and 15.

Introduction: Execution of COVID-19 lockdown measures caused variations in air pollution worldwide. This paper investigates the impact of COVID-19 stringency measures on the spatio-temporal dynamics of air pollution in Mumbai, India, using a comprehensive two-and-a-half-year pandemic period dataset. Materials and methods: We classified the pandemic period into 7 phases and 21 sub-phases based on the severity of the Oxford COVID-19 Government Response Tracker (OxCGRT) Stringency Index (SI). Optimized Hotspot analysis (OHS) and Ordinary Least Square Regression models explored the spatio-temporal fluctuations and the effect of stringency measures on air quality. Results: The R2 value varied; with the best model R2 of 0.61 for Particulate Matters (PM10) and Nitrogen dioxide (NO2) and lowest of 0.23 for Sulfur dioxide (SO2). A 10-point increase in SI caused a 3-7% reduction in air pollutants. Substantial reduction in average PM10, PM2.5, NO2, and Carbon monoxide (CO) was observed throughout the COVID-19 phases. Meteorology and SI collectively caused maximum reduction of 82.6%, 72.7%, 53.8%, 52.2%, 49.1%, 28.4% for NO2, PM2.5, PM10, NH3, CO, and SO2 respectively, during complete or extreme lockdown phases. Except SO2, seasonality significantly influenced the pollutant concentrations. Winter was the worst period while monsoon was the best. OHS identified central Mumbai wards as hotspots and areas close to the national park as coldspots. Conclusion: PM10, NO2 and CO were more affected by SI measures than NH3 and SO2. For a rapid emergency response to high PM10, implementation of SI, very high (≥ 80 score) and above is advised. Findings of this study have significant public health policy implications, especially among global south nations.

Background: The lower respiratory tract infections (LRTIs), including pneumonia, are the fourth most common cause of mortality globally and the second most frequent reason for years of life lost. India is home to one-quarter of the world’s pneumonia cases. Aims and Objectives: The present study was aimed to evaluate the clinical, bacteriological and radiological profile of CAP, HAP and VAP patients from a tertiary care teaching hospital. Material & Methods: This cross-sectional, observational study was conducted at the Department of Pulmonary Medicine, Bharati Vidyapeeth (DTU) Medical College and Hospital, Pune, India. The study included 100 clinically diagnosed patients of community-acquired pneumonia (CAP), hospital-acquired pneumonia (HAP), and ventilator-associated pneumonia (VAP). Patients were evaluated for clinical symptoms, microbiological investigations, radiological assessment, treatment given, and final outcome. Severity indices were calculated for CAP, HAP, and VAP patients to predict the severity and rate of mortality. Results: The most common symptoms are cough, fever, and shortness of breath. The most common organisms isolated in sputum cultures of patients with pneumonia are Streptococcus, Pseudomonas, and Acinetobacter. The most common site of consolidation on chest X-ray is bilateral. Mortality rates are highest in patients with ventilator-associated pneumonia (VAP), followed by hospital-acquired pneumonia (HAP) and community-acquired pneumonia (CAP). Conclusion: The most common symptoms of pneumonia are cough, fever, crepitation, and expectoration. Mortality rates are highest in patients with VAP, followed by HAP and CAP.