Background: Autism spectrum disorder (ASD) refers to a group of complex neurodevelopment disorders characterized by repetitive and characteristic patterns of behavior and difficulties with social communication and interaction. In Bangladesh, autism in children is a significant burden of disease. Early identification of ASD could improve quality of life. The study has explored at the prevalence of ASD among rural community children aged between 18-36 months. Methods: A cross sectional study was conducted among the 5286 children aged between 18-36 months in a rural community. Household level data was collected using screening tool MCHAT. Primarily screening positive 66 children were invited for final diagnosis in a health camp. Diagnosis was made by different staging started from primary screening, followed by validation using MCHAT and flash card. Final diagnosis was made by the paediatric neurologists, child clinical psychologists and development therapist using diagnostic tools (DSM-IV & ADOS). Results: 04 children were diagnosed with autism spectrum disorder (ASD). Prevalence of the ASD in rural community was found 0.75/1000 children. Among the four ASD cases three were boys and one was girl and age range was between 20- 30 months. Whereas, the highest prevalence rate found was for the cerebral palsy which was 5.6/1000 children and Developmental delay (2.6/1000) was the next to that. Conclusions: Age specific autism (18-36 months) in children is found higher in rural community of Bangladesh. In order to get more comprehensive information on autism in other age groups of children in rural community, further study is required. Early detection in rural community could help the policy makers to decentralization of health services among the ASD children in rural community.

Mycobacterium tuberculosis is a clonal pathogen proposed to have co-evolved with its human host for millennia, yet our understanding of its genomic diversity and biogeography remains incomplete. Here we use a combination of phylogenetics and dimensionality reduction to reevaluate the population structure of M. tuberculosis, providing the first in-depth analysis of the ancient East African Indian Lineage 1 and the modern Central Asian Lineage 3 and expanding our understanding of Lineages 2 and 4. We assess sub-lineages using genomic sequences from 4,939 pan-susceptible strains and find 30 new genetically distinct clades that we validate in a dataset of 4,645 independent isolates. We characterize sub-lineage geographic distributions and demonstrate a consistent geographically restricted and unrestricted pattern for 20 groups, including three groups of Lineage 1. We assess the transmissibility of the four major lineages by examining the distribution of terminal branch lengths across the M. tuberculosis phylogeny and identify evidence supporting higher transmissibility in Lineages 2 and 4 than 3 and 1 on a global scale. We define a robust expanded barcode of 95 single nucleotide substitutions (SNS) that allows for the rapid identification of 69 Mtb sub-lineages and 26 additional internal groups. Our results paint a higher resolution picture of the Mtb phylogeny and biogeography.

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