Anti-retroviral therapy adherence in India (2012-18): A systematic review and meta-analysis.

Background: India has 2.1 million people living with HIV/AIDS (PLHIV). The objective of this study was to ascertain the extent of anti-retroviral therapy (ART) adherence and reasons for nonadherence among PLHIV in India. Methods: We conducted a systematic review and meta-analysis using the following criteria: (1) Observational or experimental studies conducted in India and (2) English language studies. Published during January 2012-June 2018 with data collection during the same period (3). 95% ART adherence rate (primary outcome). We reviewed bibliographic databases (PubMed, Scopus) and extracted relevant data. The forest plot was used to display the meta-analysis results. Analyses were performed in Stata 14 using the "Metaprop_one" function. Results: A total of 511 records were identified after removing duplicates, 59 full-texts were screened of which 15 studies were included in the meta-analysis. Only one study was conducted in rural India, with <95% adherence reported by all its participants. The PLHIV reported several reasons for their ART nonadherence including forgetfulness (8/15), running out of pills (3/15), distance from the health center and associated travel (2/15), alcohol abuse (3/15), concealment of HIV status from family (2/15, felt stigma (2/15), depressive symptoms (2/15), and fear of side-effects (2/15). The overall pooled estimate of ART adherence was 54.1% (95% confidence interval [CI] 27%-81%), while among facility-based studies, the ≥95% adherence rate was significant higher. 62% (95% CI 46%-0.78%). Conclusions: Despite the universal provision of free of cost ART to all PLHIV in government health facilities in India, suboptimal adherence to treatment persists in nearly half of these patients.

Prevalence of hemoglobinopathies among Malayali tribes of Jawadhu hills, Tiruvannamalai district, Tamil Nadu, India: a community-based cross-sectional study.

BACKGROUND: Hemoglobin (Hb), a red pigment of red blood cells (RBCs), carries oxygen from the lungs to different organs of the body and transports carbon dioxide back to the lungs. Any fault present in the Hb structure leads to undesirable functional effects of the RBCs, such as sickle cell anemia (SCA), thalassemia, etc. Hemoglobinopathies affect around 7% of people in both developed and developing countries globally. The aim of the present study was to determine the prevalence and carrier frequencies of hemoglobinopathies including SCA, thalassemia, and other abnormal Hb variants among Malayali tribes in the Jawadhu hills of Tiruvannamalai district, Tamil Nadu, India. METHODS: A community-based cross-sectional study was carried out among 443 Malayali tribes inhabiting the Jawadhu hills of Tiruvannamalai district from July 2022 to September 2022. The RBC indices were analyzed using an automated 5-part hematology analyzer (Mindray, BC-5150) and hemoglobin fractions were done using the HPLC system (Bio-Rad, D-10) following standard protocols. FINDINGS: A total of 443 participants were screened, out of whom 14.67% had an abnormal Hb fraction, 83.30% were identified as normal, and 2.03% were borderline. Notably, the study revealed a prevalence of 0.68% for the α-thalassemia trait and 13.99% for the ß-thalassemia trait. INTERPRETATION: Haemoglobinopathies, specifically the ß-thalassemia trait, were most prevalent among the Malayali tribal population of Tamil Nadu residing in the Jawadhu hills of Tiruvannamalai district. Hence, we need special attention for creating awareness, increasing hemoglobinopathies screening programs, and improving the importance of tribal health conditions by the government and non-governmental organizations (NGOs) for the betterment of the ethnic tribes.

Clinical characteristics and novel mutations of omicron subvariant XBB in Tamil Nadu, India - a cohort study.

Background: Despite the continued vaccination efforts, there had been a surge in breakthrough infections, and the emergence of the B.1.1.529 omicron variant of SARS-CoV-2 in India. There is a paucity of information globally on the role of newer XBB variants in community transmission. Here, we investigated the mutational patterns among hospitalised patients infected with the XBB omicron sub-variant, and checked if there was any association between the rise in the number of COVID-19 cases and the observed novel mutations in Tamil Nadu, India. Methods: Nasopharyngeal and oropharyngeal swabs, collected from symptomatic and asymptomatic COVID-19 patients were subjected to real-time PCR followed by Next Generation Sequencing (NGS) to rule out the ambiguity of mutations in viruses isolated from the patients (n = 98). Using the phylogenetic association, the mutational patterns were used to corroborate clinico-demographic characteristics and disease severity among the patients. Findings: Overall, we identified 43 mutations in the S gene across 98 sequences, of which two were novel mutations (A27S and T747I) that have not been reported previously with XBB sub-variants in the available literature. Additionally, the XBB sequences from our cohort had more mutations than omicron B.1.1.529. The phylogenetic analysis comprising six major branches clearly showed convergent evolution of XBB. Our data suggests that age, and underlying conditions (e.g., diabetes, hypertension, and cardiovascular disease) or secondary complications confers increased susceptibility to infection rather than vaccination status or prior exposure. Many vaccinated individuals showed evidence of a breakthrough infection, with XBB.3 being the predominant variant identified in the study population. Interpretation: Our study indicates that the XBB variant is highly evasive from available vaccines and may be more transmissible, and potentially could emerge as the 'next' predominant variant, which likely could overwhelm the existing variants of SARS-CoV-2 omicron variants. Funding: National Health Mission (India), SIDASARC, VINNMER (Sweden), ORIP/NIH (USA).

Socio-demographic and behavioural determinants of HIV prevalence among homosexual and bisexual men having sex with men (MSM) in India: Integrated bio-behavioural surveillance.

Background: HIV prevalence among men who have sex with men (MSM) is 16.5 times higher than adult HIV prevalence. With a socio-cultural context that demands marriage, a considerable proportion of MSM in India have female sexual partners and act as a bridge population. Stratified analysis of HIV risk factors among homosexual and bisexual MSM will be instrumental in identifying the high-risk MSM. We aim to identify the socio-demographic and behavioural factors associated with HIV risk among homosexual and bisexual MSM. Methods: Overall, 23081 MSM were enrolled in the IBBS conducted across India between October 2014 and November 2015. Data and blood samples were collected. Chi-square test, univariate and multivariable logistic regression methods were used in data analysis. Results: HIV prevalence was significantly higher among homosexual MSM than bisexual MSM. Older age, lesser education, being a sex worker, being married, living with a male or hijra partner, younger age at initiation of MSM behaviour, duration, injecting drugs, and having STI symptoms were associated with higher prevalence. The prevalence of new homosexual MSM was 11.4%. Nearly 75% of the bisexual MSM reported inconsistent condom usage with female partners. Conclusion: Interventions for early identification of new MSM and advocacy for safe sex with alternative preventive techniques are recommended.

Sub-regional Trend of HIV Infection Among Antenatal Clinic Attendees in Andhra Pradesh (2003-2019).

INTRODUCTION: The analyses of local risks at sub-national levels and tailored interventions are being emphasized for effective HIV management. Andhra Pradesh (AP) is a high HIV prevalence state in India, with the second-highest number of People with HIV (PWH) and a consistent decline in HIV prevalence at the state level. Probing further into the region and district-wise levels and trends of HIV prevalence will provide critical insights into sub-regional epidemic patterns. Hence, this paper analyzes the regional and district-level trends of HIV prevalence among pregnant women attending antenatal clinics (ANC) from 2003 to 2019 in AP, South India. METHODS: HIV prevalence data collected from pregnant women in AP during HIV Sentinel Surveillance (HSS) between 2003 and 2019 was used for trend analysis. The consistent sites were grouped into three regions (Coastal Andhra, Rayalaseema and Uttar Andhra), totaling 39 sites, including 21 rural and 18 urban sites. Regional and district-level HIV prevalence was analyzed using the Chisquare trend test, and spatial analysis was done using QGIS software. For the last three HSS rounds, HIV prevalence based on sociodemographic variables was calculated to understand the factors contributing to HIV positivity in each region. RESULTS: In total, 143,211 pregnant women were recruited. HIV prevalence in AP was 0.30% (95% CI: 0.22 - 0.39) in 2019. The prevalence was 0.31%, 0.35% and 0.22% in Coastal Andhra, Rayalaseema and Uttar Andhra, respectively. HIV prevalence had significantly (P < 0.05) declined in all regions. The overall trend indicated that the HIV prevalence was higher among older pregnant women and in urban regions. However, recent trends consistently report HIV positivity among young and new pregnant mothers, illiterates, and rural regions. CONCLUSION: The overall trend indicated that the HIV prevalence was higher among older pregnant women and in urban regions. However, recent trends consistently report HIV positivity among young and new pregnant mothers, illiterates, and rural regions. Identifying the contextual risk patterns associated with HIV transmission will further improve HIV preventive and management programs among the general population.

BindingSiteAugmentedDTA: Enabling A Next-Generation Pipeline for Interpretable Prediction Models in Drug-Repurposing

While research into Drug-Target Interaction (DTI) prediction is fairly mature, generalizability and interpretability are not always addressed in the existing works in this field. In this paper, we propose a deep learning-based framework, called BindingSite-AugmentedDTA, which improves Drug-Target Affinity (DTA) predictions by reducing the search space of potential binding sites of the protein, thus making the binding affinity prediction more efficient and accurate. Our BindingSite-AugmentedDTA is highly generalizable as it can be integrated with any DL-based regression model, while it significantly improves their prediction performance. Also, unlike many existing models, our model is highly interpretable due to its architecture and self-attention mechanism, which can provide a deeper understanding of its underlying prediction mechanism by mapping attention weights back to protein binding sites. The computational results confirm that our framework can enhance the prediction performance of seven state-of-the-art DTA prediction algorithms in terms of 4 widely used evaluation metrics, including Concordance Index (CI), Mean Squared Error (MSE), modified squared correlation coefficient [Formula], and the Area Under the Precision Curve (AUPC). We also contribute to the two most commonly used DTA benchmark datasets, namely Kiba and Davis, by including additional information on 3D structure of all proteins contained in these two datasets. We manually extracted this information from Protein Data Bank (PDB) files of proteins available at https://www.uniprot.org/. Furthermore, we experimentally validate the practical potential of our proposed framework through in-lab experiments. We measure the binding interaction between several drug candidate compounds for the inhibition of binding between (SARS-CoV-2 S-protein RBD) Spike and ACE-2 (host cell binding target) proteins. We then compare the computationally-predicted results against the ones experimentally-observed in the laboratory. The relatively high agreement between computationally-predicted and experimentally-observed binding interactions supports the potential of our framework as the next-generation pipeline for prediction models in drug repurposing.

Diagnosis of Human Leptospirosis: Comparison of Microscopic Agglutination Test with Recombinant LigA/B Antigen-Based In-House IgM Dot ELISA Dipstick Test and Latex Agglutination Test Using Bayesian Latent Class Model and MAT as Gold Standard.

Leptospirosis is a spirochaetal infection that possesses a broad host range affecting almost all mammals. In the present study, the microscopic agglutination test (MAT) was compared with recombinant LigA/B antigen-based point-of-care diagnostics such as the in-house IgM dot ELISA dipstick test (IgM- DEDT) and the latex agglutination test (LAT) for the serodiagnosis of human leptospirosis. The comparison of the MAT with these two point-of-care diagnostics was performed using the MAT as the gold standard test and using Bayesian latent class modelling (BLCM), which considers all diagnostic tests as imperfect. The N-terminal conserved region of the LigA/B protein spanning the first to fifth big tandem repeat domains (rLigA/BCon1-5) was employed as a serodiagnostic marker in both of the bedside assays. A total of 340 serum samples collected from humans involved in high risk occupations were screened using the MAT, IgM DEDT and LAT. During the early phase of leptospirosis, BLCM analysis showed that the IgM DEDT and LAT had similar sensitivities (99.6 (96.0-100)) and (99.5 (95.2-100)), respectively, while the single acute phase MAT had the lowest sensitivity (83.3 (72.8-91.3)). Both the IgM DEDT and the LAT may be superior to the single acute phase MAT in terms of sensitivity during the early phase of infection and may be suitable for the early diagnosis of leptospirosis. However, BLCM analysis revealed that the use of both acute and convalescent samples substantially increased the sensitivity of the final MAT (98.2% (93.0-99.8%)) as a test to diagnose human leptospirosis. Both the IgM DEDT and LAT can be employed as bedside spot tests in remote locations where the MAT is not easily accessible.

Sickle cell anemia/sickle cell disease and pregnancy outcomes among ethnic tribes in India: an integrative mini-review.

Objective: To evaluate the studies which have reported the prevalence of maternal complications and outcomes for women with SCA/SCD. Healthy populations make a healthy community and improve the future for mankind. Pregnant women are an essential segment of humanity as they bear the fetus and supply nutrition for their development throughout the gestational period. Their health status and disease conditions also play a vital role in deciding the future of the offspring.Materials and methods: The Mesh terms: "Haemoglobinopathies" + "Sickle cell anemia" + "Sickle cell disease" + "Ethnic tribes" + "Pregnancy outcomes" + "India" were used to search the literature available from public databases such as "PubMed", "PubMed Central" "Google Scholar", "Science Direct" and "Scopus" and the same is checked for removing repetitions. The data was extracted and collected literature was thoroughly analysed. SCD/SCA is a commonly prevalent hereditary hemoglobinopathy disease and is related to augmented risk factors and premature mortality.Results: SCD severely affects pregnancy, which leads to the elevated occurrence of perinatal and maternal outcomes such as pre-eclampsia, eclampsia, abortions, intrauterine growth retardation (IUGR), etc., and sufficient care during the pregnancy guarantees an improved outcome. Due to the best health care conveniences, availability of drugs such as hydroxyurea, antibiotic prophylaxis, and vaccination, the life expectancy of SCD patients has greatly improved in recent times though directly related to the access and services available at the healthcare facilities for the needy and poor. Moreover, the latest innovations in the fields of prenatal screening and preimplantation genetic diagnosis (PGD), facilitate partners suffering from SCA/SCD to have a healthy child. There are no available studies on the prevalence of SCA/SCD in pregnant women among ethnic tribal populations from India.Conclusion: This review article is focused on the effects of SCA/SCD on pregnancy outcomes, the consistent follow-up, routine check-ups and successful management of complications throughout pregnancy, the various diagnostic methods toward preventive methods, curative and management therapeutic strategies and also defines the perinatal and maternal outcomes in the ethnic tribal populations of India.

Immunoinformatic Study of Recombinant LigA/BCon1-5 Antigen and Evaluation of Its Diagnostic Potential in Primary and Secondary Binding Tests for Serodiagnosis of Porcine Leptospirosis.

Leptospirosis is responsible for hampering the productivity of swine husbandry worldwide. The aim of this study was to assess the efficacy of bioinformatics tools in predicting the three-dimensional structure and immunogenicity of recombinant LigBCon1-5 (rLigBCon1-5) antigen. A battery of bioinformatics tools such as I-TASSER, ProSA and SAVES v6.0 were used for the prediction and assessment of the predicted structure of rLigBCon1-5 antigen. Bepipred-2.0, DiscoTope v2.0 and ElliPro servers were used to predict linear and conformational epitopes while T-cell epitopes were predicted using NetMHCpan 4.1 and IEDB recommended 2.22 method for MHC Class I and II peptides respectively. The results obtained using various in silico methods were then compared with wet lab experiments comprising of both primary (IgG Dot ELISA Dipstick test) and secondary-binding assays (Latex Agglutination Test [LAT]) to screen 1153 porcine serum samples. The three-dimensional structure of rLigA/BCon1-5 protein as predicted by I-TASSER was found to be reliable by Ramachandran Plot and ProSA. The ElliPro server suggested 10 and three potential linear and conformational B-cell-epitopes, respectively, on the peptide backbone of the rLigA/BCon1-5 protein. The DiscoTope prediction server suggested 47 amino acid residues to be part of B-cell antigen. Ten of the most efficient peptides for MHC-I and II grooves were predicted by NetMHCpan 4.1 and IEDB recommended 2.22 method, respectively. Of these, three peptides can serve dual functions as it can fit both MHC I and II grooves, thereby eliciting both humoral-and cell-mediated immune responses. The prediction of these computational approaches proved to be reliable since rLigBCon1-5 antigen-based IgG Dot ELISA Dipstick test and LAT gave results in concordance to gold standard test, the Microscopic Agglutination Test (MAT), for serodiagnosis of leptospirosis. Both the IgG Dot ELISA Dipstick test and LAT were serodiagnostic assays ideally suited for peripheral level of animal health care system as "point of care" tests for the detection of porcine leptospirosis.

Responses to COVID-19 in South Asian Association for Regional Cooperation (SAARC) countries in 2020, a data analysis during a world of crises.

Coronavirus disease (COVID-19) caused by SARS-CoV-2 was notified from Wuhan city, Hubei province, China in the mid of December 2019. The disease is showing dynamic change in the pattern of confirmed cases and death toll in these low and middle-income countries (LMICs). In this study, exponential growth (EG) method was used to calculate the real-time reproductive number (Rt) for initial and later stage of epidemic in South Asian Association for Regional Cooperation (SAARC) member countries (April 2020 - December 2020). Time dependent (TD) method was used to calculate the weekly real -time reproduction number (Rt). We also presented the observations on COVID-19 epidemiology in relation with the health expenditure, poverty, BCG vaccination, literacy population density and Rt for understanding the current scenario, trends, and expected outcome of the disease in SAARC countries. A significant positive correlation was noticed between COVID-19 deaths and health expenditure (% GDP) (r = 0.58, P < 0.05). The other factors such as population density/sq km, literacy %, adult population %, and poverty % were not significantly correlated with number of COVID-19 cases and deaths. Among SAARC countries, the highest Rt was observed in India (Rt = 2.10; 95% CI 2.04-2.17) followed by Bangladesh (Rt = 1.62; 95% CI 1.59-1.64) in initial state of epidemic. A continuous monitoring is necessitated in all countries looking at the medical facilities, available infrastructure and healthcare manpower, constraints which may appear with increased number of critically ill patients if the situation persists longer.

SARS-CoV-2 Spike Protein Extrapolation for COVID Diagnosis and Vaccine Development.

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) led to coronavirus disease 2019 (COVID-19) pandemic affecting nearly 71.2 million humans in more than 191 countries, with more than 1.6 million mortalities as of 12 December, 2020. The spike glycoprotein (S-protein), anchored onto the virus envelope, is the trimer of S-protein comprised of S1 and S2 domains which interacts with host cell receptors and facilitates virus-cell membrane fusion. The S1 domain comprises of a receptor binding domain (RBD) possessing an N-terminal domain and two subdomains (SD1 and SD2). Certain regions of S-protein of SARS-CoV-2 such as S2 domain and fragment of the RBD remain conserved despite the high selection pressure. These conserved regions of the S-protein are extrapolated as the potential target for developing molecular diagnostic techniques. Further, the S-protein acts as an antigenic target for different serological assay platforms for the diagnosis of COVID-19. Virus-specific IgM and IgG antibodies can be used to detect viral proteins in ELISA and lateral flow immunoassays. The S-protein of SARS-CoV-2 has very high sequence similarity to SARS-CoV-1, and the monoclonal antibodies (mAbs) against SARS-CoV-1 cross-react with S-protein of SARS-CoV-2 and neutralize its activity. Furthermore, in vitro studies have demonstrated that polyclonal antibodies targeted against the RBD of S-protein of SARS-CoV-1 can neutralize SARS-CoV-2 thus inhibiting its infectivity in permissive cell lines. Research on coronaviral S-proteins paves the way for the development of vaccines that may prevent SARS-CoV-2 infection and alleviate the current global coronavirus pandemic. However, specific neutralizing mAbs against SARS-CoV-2 are in clinical development. Therefore, neutralizing antibodies targeting SARS-CoV-2 S-protein are promising specific antiviral therapeutics for pre-and post-exposure prophylaxis and treatment of SARS-CoV-2 infection. We hereby review the approaches taken by researchers across the world to use spike gene and S-glycoprotein for the development of effective diagnostics, vaccines and therapeutics against SARA-CoV-2 infection the COVID-19 pandemic.

Whole genome sequence analysis of multi drug resistant community associated methicillin resistant Staphylococcus aureus from food fish: detection of clonal lineage ST 28 and its antimicrobial resistance and virulence genes.

Methicillin-resistant staphylococcus aureus (MRSA) sequence type 28 (ST 28) and spa type t021 is a CC30, prototype of ST-30, Community Associated-MRSA (CA-MRSA) (lukS-lukF +). It is a multi-drug resistant strain harbouring staphylococcal endotoxins, haemolysins, ureolysin, serine protease, and antimicrobial resistance genes. In this study, we report the draft genome sequence of this MRSA isolated from the most commonly used food fish, ribbon fish (Trichiurus lepturus). The total number of assembled paired-end high-quality reads was 7,731,542 with a total length of  2.8Mb of 2797 predicted genes. The unique ST28/ t021 CA- MRSA in fish is the first report from India, and in addition to antibiotic resistance is known to co-harbour virulence genes, haemolysins, aureolysins and endotoxins. Comprehensive comparative genomic analysis of CA-MRSA strain7 can help further understand their diversity, genetic structure, diversity and a high degree of virulence to aid in fisheries management.

Epidemiology and pathobiology of SARS-CoV-2 (COVID-19) in comparison with SARS, MERS: An updated overview of current knowledge and future perspectives.

Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2) is the causative etiology of 'Corona Virus Disease-2019' (COVID-19); formerly referred as 'novel-Coronavirus-2019'. It was originated in Wuhan city, Hubei province, China in early December 2019. The World Health Organization (WHO) declared it as 'Public Health Emergency of International Concern' due to their rapid transmission and causing public and health-care-related casualties worldwide. This review provides an updated overview of COVID-19 (SARS-CoV-2), in comparison with the etiologies of the same group viz. SARS and MERS and also its future perspectives for planning appropriate strategies for prevention, control and treatment modalities to avert similar catastrophe in near future.

Particularly vulnerable tribal groups of Tamil Nadu, India: A sociocultural anthropological review.

"Adivasi" is the collective term for tribes, an indigenous population, and ethnic minorities of India. In general, tribal populations live in harmony with nature and resources within their habitat and largely reside in segregates in an unpolluted and natural environment away from modern civilization. As per the 2011 census, India contains 705 scheduled tribes (STs) and subtribes and 75 primitive tribal clusters. The ST population of Tamil Nadu, India, was found to be 794,697 and broadly spread in 38 districts constituting 36 tribes, among which 6 tribes were grouped as "particularly vulnerable tribal groups" (PVTGs), namely (1) Todas, (2) Kotas, (3) Kurumbas, (4) Irulas, (5) Paniyas, and (6) Kattunayakas, as the number of population in these tribal communities is either declining or remaining static. The state government is offering lots of benefit schemes for the STs, but they have not reached the tribal groups. Health problems of tribal communities have been profoundly influenced by different factors such as social, cultural, educational, economic, and political practices. The tribal peoples are exceedingly disease prone as they do not have access to basic health-care facilities. Therefore, concerned policymakers should focus on the changing health needs of tribal communities. In this regard, the current review article has been focused on the complete details (language, occupation, worship or deity, subdivisions or other names, etc.) of these six PVTGs and also to concentrate on the kind of problems they face while living in the societies. Therefore, the government and nongovernmental organizations need to find a way to improve their livelihoods and health status.

CRISPR-Cas System: An Approach With Potentials for COVID-19 Diagnosis and Therapeutics.

COVID-19, the human coronavirus disease caused by SARS-CoV-2, was reported for the first time in Wuhan, China in late 2019. COVID-19 has no preventive vaccine or proven standard pharmacological treatment, and consequently, the outbreak swiftly became a pandemic affecting more than 215 countries around the world. For the diagnosis of COVID-19, the only reliable diagnostics is a qPCR assay. Among other diagnostic tools, the CRISPR-Cas system is being investigated for rapid and specific diagnosis of COVID-19. The CRISPR-Cas-based methods diagnose the SARS-CoV-2 infections within an hour. Apart from its diagnostic ability, CRISPR-Cas system is also being assessed for antiviral therapy development; however, till date, no CRISPR-based therapy has been approved for human use. The Prophylactic Antiviral CRISPR in huMAN cells (PAC-MAN), which is Cas 13 based strategy, has been developed against coronavirus. Although this strategy has the potential to be developed as a therapeutic modality, it may face significant challenges for approval in human clinical trials. This review is focused on describing potential use and challenges of CRISPR-Cas based approaches for the development of rapid and accurate diagnostic technique and/or a possible therapeutic alternative for combating COVID-19. The assessment of potential risks associated with use of CRISPR will be important for future clinical advancements.

BCG vaccine: a hope to control COVID-19 pandemic amid crisis.

COVID-19 caused by the virus SARS-CoV-2 has gripped essentially all countries in the world, and has infected millions and killed hundreds of thousands of people. Several innovative approaches are in development to restrain the spread of SARS-CoV-2. In particular, BCG, a vaccine against tuberculosis (TB), is being considered as an alternative therapeutic modality. BCG vaccine is known to induce both humoral and adaptive immunities, thereby activating both nonspecific and cross-reactive immune responses in the host, which combined could effectively resist other pathogens including SARS-CoV-2. Notably, some studies have revealed that SARS-CoV-2 infectivity, case positivity, and mortality rate have been higher in countries that have not adopted BCG vaccination than in countries that have done so. This review presents an overview of the concepts underlying BCG vaccination and its nonspecific immuological effects and protection, resulting in 'trained immunity' and potential utility for resisting COVID-19.

A retrospective study on the epidemiology and trends of road traffic accidents, fatalities and injuries in three Municipalities of Dar es Salaam Region, Tanzania between 2014-2018.

INTRODUCTION: Over 90% of injuries and deaths still occur in low and middle-income countries like Tanzania due to Road traffic accidents. Available literature indicates that Tanzania suffers massive human and economic losses every year from RTAs despite several interventions that have been made to curb this scourge. To gain an insight into the current state of RTAs we examined the pre- historical case fatality rates from RTAs in Ilala and two other municipalities (Kinondoni and Temeke) in Dar es Salaam Region, Tanzania. METHODS: We conducted a retrospective study using the secondary data on road accidents from Road Accident Information System (RAIS) for the period 2014 to 2018. RESULTS: A total of 6,772 road traffic injuries were reported between 2014 and 2018 and the study recorded the highest RTAs in the year 2014 as compared to the other years within the study period. The death rate from RTAs in Ilala Municipality alone was 36.4 per 100,000 population. About 28% of the total fatalities were recorded among the pedestrians, and there was a significant difference (P < 0.05) in the RTAs among the other road users. CONCLUSION: The study recommends the improvement of road transport infrastructure to ensure safety for all the road users by implementing the existing policies, strengthening the enforcement of existing legislation and introducing express penalties on a real-time basis. We encourage the use of this data to develop strategies in Tanzania that protect pedestrians and other vulnerable road users from RTAs.