BACKGROUND: Low-level physical activity (LLPA) is crucial for the well-being of adults living with HIV (PLWHs). However, many do not engage in enough physical activity, leading to adverse health outcomes. Identifying the determinants of LLPA can aid in developing effective interventions. Despite this, Ethiopia lacks evidence on this topic. This study aimed to identify predictors of LLPA among PLWHs in the Gedeo zone, located in southern Ethiopia.
METHODS: An unmatched case-control study was conducted on PLWHs in the Gedeo zone who visited two hospitals and healthcare institutions between December 29th, 2017 and January 22nd, 2019. Respondents were classified into three categories based on their total physical activity levels: high, moderate, and low. Cases were defined as those meeting the criteria for LLPA, while controls were those who did not fall under the cases category. Data was collected using the WHO Stepwise surveillance tool and analyzed using Epidata v3.1 templates and SPSS v22. Predictor variables with a P-value < 0.25 in bivariable analysis and < 0.05 with a 95% confidence interval in multivariable analysis were selected.
RESULTS: The study involved 633 HIV-positive adults, with a response rate of 92.41%. Most participants were under 34 years old, with an average age of 36.47±(9.055) for cases and 36.38±(8.389) for controls. The multivariable analysis revealed that educational status (AOR = 4.85, P = 0.02, 95%CI (1.28-18.44)), sex (AOR = 0.24, P = 0.04, 95%CI (0.07-0.90)), duration on ART being exposed for 1-4 Years (AOR = 0.12, P < 0.001, 95%CI (0.03-0.44)) and being exposed for 5-9 Years (AOR = 0.03, P < 0.001, 95%CI (0.01-0.16)), and former alcohol use (AOR = 0.11, P < 0.01, 95%CI (0.02-0.56) were significant predictors of LLPA performance.
CONCLUSIONS: The study concluded that educational status, sex, ART duration, and past alcohol use are key determinants of LLPA performance among PLWHs in southern Ethiopia. This suggests that policymakers should implement public health campaigns to promote healthy habits, particularly low-level physical activity, among PLWHs.

UNASSIGNED: Substance use is prevalent among people with mental health issues, and patients with psychosis are more likely to use and misuse substances than the general population. Despite extensive research on substance abuse among the general public in Kenya, there is a scarcity of data comparing substance use among people with and without psychosis. This study investigates the association between psychosis and various substances in Kenya.
UNASSIGNED: This study utilized data from the Neuro-GAP Psychosis Case-Control Study between April 2018 and December 2022. The KEMRI-Wellcome Trust Research Programme recruited participants from various sites in Kenya, including Kilifi County, Malindi Sub-County, Port Reitz and Coast General Provincial Hospitals, and Moi Teaching and Referral Hospital, as well as affiliated sites in Webuye, Kapenguria, Kitale, Kapsabet, and Iten Kakamega. The collected data included sociodemographic information, substance use, and clinical diagnosis. We used the summary measures of frequency (percentages) and median (interquartile range) to describe the categorical and continuous data, respectively. We examined the association between categorical variables related to psychosis using the chi-square test. Logistic regression models were used to assess the factors associated with the odds of substance use, considering all relevant sociodemographic variables.
UNASSIGNED: We assessed a total of 4,415 cases and 3,940 controls. Except for alcohol consumption (p-value=0.41), all forms of substance use showed statistically significant differences between the case and control groups. Cases had 16% higher odds of using any substance than controls (aOR: 1.16, 95%CI: 1.05-1.28, p=0.005). Moreover, males were 3.95 times more likely to use any substance than females (aOR:3.95; 95%CI: 3.43-4.56). All the categories of living arrangements were protective against substance use.
UNASSIGNED: The findings of this study suggest that psychotic illnesses are associated with an increased likelihood of using various substances. These findings are consistent with those of previous studies; however, it is crucial to investigate further the potential for reverse causality between psychosis and substance abuse using genetically informed methods.

BACKGROUND: Canceling scheduled surgeries on the day of surgery places a heavy burden on healthcare providers and has psychological, social, and financial consequences on patients and their families. This study aimed to investigate the main reasons for cancellations of elective procedures and provide appropriate recommendations to reduce the rate of such avoidable cancellations.
METHODS: Data were collected retrospectively from all consecutive elective cases scheduled for various elective surgeries from January 1, 2020 to March 31, 2022 at Namazi Teaching Hospital, a major referral center in southern Iran with a capacity of 938 beds. Daily data were collected on the number of planned electives, cancellations, and reasons for cancellations. Surgical cancellation reasons were categorized as patient-related, surgeon-related, hospital/system-related, and anesthesia-related. Data were expressed as frequency (percentage) and analyzed with SPSS version 19 software.
RESULTS: The cancellation rate on surgery day for elective procedures in all fields was 6.3%. The highest cancellation rate was related to minor surgeries (19%), followed by urology (8%), pediatrics (7%), and plastic surgery (7%). The most common reasons for cancellation were patients not suitable for the procedure (37%), followed by patients who did not follow instructions (10%), lack of time (10.5%), and equipment/supplies problems (10%), and refusal to consent (6%).
CONCLUSIONS: According to this study, patients\' unsuitability for surgery, non-compliance with instructions, lack of time, and problems with equipment/supplies are the main reasons for canceling surgery. Proper preoperative assessment and preparation of patients and improved communication between medical teams and patients reduce the cancellation of booked surgeries.

A register-based retrospective observational study was conducted to describe SARS-CoV-2 cases and case-clusters in schoolchildren of Danish primary and lower secondary schools and identify which factors were associated with the occurrence of case-clusters in schools. The study period was the autumn school semester 2021. Clusters were defined as three or more cases in a school-class level within 14 days. Descriptive analysis was carried out and multivariable logistic regression analysis was performed to determine which factors were associated with case introductions (i.e., primary case) being linked to a cluster. More cases and clusters were identified in lower than in higher class levels. Out of 21,497 cases introduced into a school, 41.6% started a cluster. A higher assumed immunity level in a class level was significantly reducing the odds of a case introduction being linked to a cluster (e.g., assumed immunity of ≥80% vs <20%: OR: 0.28; 95%CI: 0.17-0.44). A previous infection (in the primary case) had a protective effect (OR: 0.58; 95%CI: 0.33-0.99). This study suggests that most cases appearing in schools did not induce clusters, but that once cluster occur sizes can be large. It further indicates that vaccination of children markedly reduces the risk of secondary infections.

OBJECTIVE: The main aim of this study was to assess the correlation between serum tumor necrosis factor-alpha (TNF-α) levels the and clinical severity of tuberculosis.
METHODS: This was a hospital-based case-control prospective study and was conducted at the Sher-i-Kashmir Institute of Medical Sciences, a tertiary care hospital in the northern part of India, from May 2016 to May 2018. The subjects were recruited in the study considering inclusion and exclusion criteria. All patients with pulmonary tuberculosis as well as patients with extrapulmonary tuberculosis were included as subjects and a clinical severity score based on anemia, weight loss, presence of hypoxia, and radiological features was calculated and compared with TNF-α levels. Age- and sex-matched healthy individuals were recruited as controls.
RESULTS: A total of 75 subjects comprising 50 cases and 25 controls were taken for the study. There were 34 (68.0%) patients with elevated TNF-α levels while only 16 (32.0%) patients had normal TNF-α levels. And, TNF-α levels were normal in 21 (84%) control subjects as compared to tuberculosis (TB) patients. Such difference in serum TNF-α levels between cases and controls was statistically significant (p<0.05). The mean serum TNF-α level in TB cases was 1265.63 pg/mL, while the mean serum TNF-α level in controls was 312.06 pg/mL. The difference in serum TNF-α levels between the two groups was statistically significant (p<0.01). We observed a significant increase in serum TNF-α levels with the increase in clinical severity score.
CONCLUSIONS: Serum TNF-α levels were significantly associated with increased severity of TB.

Telehealth has been widely used for new case detection and telemonitoring during the COVID-19 pandemic. It safely provides access to health care services and expands assistance to remote, rural areas and underserved communities in situations of shortage of specialized health professionals. Qualified data are systematically collected by health care workers containing information on suspected cases and can be used as a proxy of disease spread for surveillance purposes. However, the use of this approach for syndromic surveillance has yet to be explored. Besides, the mathematical modeling of epidemics is a well-established field that has been successfully used for tracking the spread of SARS-CoV-2 infection, supporting the decision-making process on diverse aspects of public health response to the COVID-19 pandemic. The response of the current models depends on the quality of input data, particularly the transmission rate, initial conditions, and other parameters present in compartmental models. Telehealth systems may feed numerical models developed to model virus spread in a specific region.
Herein, we evaluated whether a high-quality data set obtained from a state-based telehealth service could be used to forecast the geographical spread of new cases of COVID-19 and to feed computational models of disease spread.
We analyzed structured data obtained from a statewide toll-free telehealth service during 4 months following the first notification of COVID-19 in the Bahia state, Brazil. Structured data were collected during teletriage by a health team of medical students supervised by physicians. Data were registered in a responsive web application for planning and surveillance purposes. The data set was designed to quickly identify users, city, residence neighborhood, date, sex, age, and COVID-19-like symptoms. We performed a temporal-spatial comparison of calls reporting COVID-19-like symptoms and notification of COVID-19 cases. The number of calls was used as a proxy of exposed individuals to feed a mathematical model called \"susceptible, exposed, infected, recovered, deceased.\"
For 181 (43%) out of 417 municipalities of Bahia, the first call to the telehealth service reporting COVID-19-like symptoms preceded the first notification of the disease. The calls preceded, on average, 30 days of the notification of COVID-19 in the municipalities of the state of Bahia, Brazil. Additionally, data obtained by the telehealth service were used to effectively reproduce the spread of COVID-19 in Salvador, the capital of the state, using the \"susceptible, exposed, infected, recovered, deceased\" model to simulate the spatiotemporal spread of the disease.
Data from telehealth services confer high effectiveness in anticipating new waves of COVID-19 and may help understand the epidemic dynamics.

Background: Not much is known about correlations between country-level characteristics and country-level numbers of COVID-19 cases and mortalities. Methods: Using data from the World Health Organization and other international organisations, we summarised country-level COVID-19 case and mortality counts per 100,000 population, and COVID-19 case fatality rate from January 2020 to August 2021. We conducted adjusted linear regression analysis to assess relationships between these counts/rate and certain country-level characteristics. We reported adjusted regression coefficients, β and associated 95% confidence intervals. Results: There was a positive correlation between the number of cases and country-level male/female ratio, and positive correlations between the numbers of cases and mortalities and country-level proportion of 60+-year-olds, universal health coverage index of service coverage (UHC) and tourism. Country economic status correlated negatively with the numbers of cases and mortalities. COVID-19 case fatality rate was highest in Peru, South American region (9.2%), and lowest in Singapore, Western Pacific region (0.1%). A negative correlation was observed between case fatality rate and country-level male/female ratio, population density and economic status. These observations remained mostly among mid-/low-income countries, particularly a positive correlation between the number of cases and male/female ratio and proportion of 60+-year-olds. Conclusions: Various country-level characteristics such as male/female ratio, proportion of older adults, country economic status, UHC and tourism appear to be correlated with the country-level number of COVID-19 cases and/or mortalities. Consideration of these characteristics may be necessary when designing country-level COVID-19 epidemiological studies and in comparing COVID-19 data between countries.

Meteorological parameters modulate transmission of the SARS-Cov-2 virus, the causative agent related to coronavirus disease-2019 (COVID-19) development. However, findings across the globe have been inconsistent attributed to several confounding factors. The aim of the present study was to investigate the relationship between reported meteorological parameters from July 1 to October 31, 2020, and the number of confirmed COVID-19 cases in 4 Brazilian cities: São Paulo, the largest city with the highest number of cases in Brazil, and the cities with greater number of cases in the state of Parana during the study period (Curitiba, Londrina and Maringa). The assessment of meteorological factors with confirmed COVID-19 cases included atmospheric pressure, temperature, relative humidity, wind speed, solar irradiation, sunlight, dew point temperature, and total precipitation. The 7- and 15-day moving averages of confirmed COVID-19 cases were obtained for each city. Pearson\'s correlation coefficients showed significant correlations between COVID-19 cases and all meteorological parameters, except for total precipitation, with the strongest correlation with maximum wind speed (0.717, <0.001) in São Paulo. Regression tree analysis demonstrated that the largest number of confirmed COVID-19 cases was associated with wind speed (between ≥0.3381 and <1.173 m/s), atmospheric pressure (<930.5mb), and solar radiation (<17.98e+3). Lower number of cases was observed for wind speed <0.3381 m/s and temperature <23.86°C. Our results encourage the use of meteorological information as a critical component in future risk assessment models.

UNASSIGNED: Stillbirth is one of the adverse outcomes of pregnancy, and it is among the major public health problems in developing countries including Ethiopia. Stillbirth has wide-reaching consequences for parents, care providers, community and society at large.
UNASSIGNED: To assess the determinant of stillbirth among deliveries attended in Bale zone hospitals Southeast Ethiopia.
UNASSIGNED: An institution-based unmatched case-control study was conducted. Cases were deliveries whose birth outcome was stillbirth and controls were deliveries with live birth. A pretested and structured checklist was used to collect data from a sample of 402 (134 cases and 268 controls). Systematic random sampling was used to recruit samples from a list of charts in the delivery registration book. Data were entered into EpiData version 4.2 and exported to SPSS version 20 for analysis. Crude and adjusted odds ratio with 95%CI was calculated and P-value <0.05 was used to declare statistical significance.
UNASSIGNED: A total of 402 charts of mothers (134 cases and 268 controls) were included in the analysis. Preceding birth interval <24 months (AOR: 2.991; 95%CI: 1.351-6.621), antenatal visit started at third trimester (AOR: 2.739; 95%CI: 1.048-7.158), referred from other health facility (AOR: 3.215; 95%CI: 1.430-7.229), labor length ≥24 h (AOR: 3.169; 95%CI: 1.241-8.091), presence of meconium stained amniotic fluid (AOR: 2.670; 95%CI: 1.082-6.592) and giving birth to a baby <2500 g (AOR: 3.155; 95%CI: 1.235-8.07) were determinants of stillbirth.
UNASSIGNED: Preceding birth interval of <24 months, antenatal visit started at third trimester, referred from other health facility, presence of meconium stained amniotic fluid, labor length ≤24 h and giving birth to a baby <2500 g were found the determinants of stillbirth. Intrapartum care, early identification of labor complications and referral system are required.

Adjuvant nutritional treatment is a commonly overlooked topic when treating lethal viral diseases as COVID-19 pandemic. We recently introduced TaibUVID nutritional supplements (nigella sativa, chamomile and natural honey) as adjuvants for COVID-19 contacts, patients and public prophylaxis. TaibUVID Forte adds costus, senna and fennel to TaibUVID. Meta-analyses and systematic reviews confirmed evidence-based therapeutic benefits of TaibUVID components in treating many human diseases e.g. diabetes mellitus and hypertension, common co-morbidities in COVID-19 patients. Double-blind clinical trials for treating COVID-19 patients with TaibUVID supplements were inapplicable. In this retrospective study in Egypt, COVID-19 patients and contacts knew TaibUVID via social media and voluntarily used them. 65% of COVID-19 patients (n = 13) received both pharmacological treatments and adjuvant TaibUVID nutritional supplements. 35% (n = 7) received TaibUVID only. Lymphopenia rapidly improved to lymphocytosis upon regular TaibUVID intake. TaibUVID nutritional supplements helped COVID-19 contacts\' prophylaxis. 70% of COVID-19 contacts (n = 14) (on regular TaibUVID intake) did not get SARS-COV2 infection. 30% (n = 6) were not using TaibUVID regularly and got mild flu-like symptoms and upon using both TaibUVID and pharmacological treatments, all improved and got negative nasopharyngeal swabs PCR. COVID-19 contacts were mainly physicians (40%, n = 8) (dealing with COVID-19 patients daily) and members of physicians\' families (45%). Main presentations reported by COVID-19 patients (n = 20) were cough (90%), fever (55%), anosmia (45%), taste loss (45%), sore throat (45%), respiratory difficulty (45%) and malaise (35%). TaibUVID inhalation therapy (nigella sativa/anthemis/costus solution nebulization) was used by 65% of COVID-19 patients (n = 13) and alleviated respiratory manifestations e.g. cough and respiratory difficulty and was life-saving in some cases. 70% of COVID-19 patients (n = 14) improved in 1-4 days, 25% (n = 5) improved in 5-10 days while 5% improved in more than 10 days. TaibUVID nutritional supplements were tolerable and significantly satisfactory (P<0.01). 81.25% of COVID-19 patients (n = 13) did not report side effects. 18.25% (n = 3) reported mild diarrhea, sweating and hyperglycemia (not confirmed to be due to TaibUVID supplements). 31.25% of patients (n = 5) were satisfied by 100% with TaibUVID nutritional supplements. 37.5% (n = 6) of patients were satisfied by 75%. In conclusion, TaibUVID nutritional supplements are recommended for public prophylaxis (to decrease emergence of new cases) and treatment in COVID-19 pandemic. Clinical trials and further investigations are recommended.