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Since the first reported case of COVID-19 in December 2019, several SARS-CoV-2 variants have evolved, and some of them have shown higher transmissibility, becoming the prevalent strains. Genomic epidemiological investigations into strains from different time points, including the early stages of the pandemic, are very crucial for understanding the evolution and transmission patterns. Using whole-genome sequences, our study describes the early landscape of SARS-CoV-2 variants in central India retrospectively (including the first known occurrence of SARS-CoV-2 in Madhya Pradesh). We performed amplicon-based whole-genome sequencing of randomly selected SARS-CoV-2 isolates ( n = 38) collected between 2020 and 2022 at state level VRDL, ICMR-NIRTH, Jabalpur, from 11899 RT-qPCR-positive samples. We observed the presence of five lineages, namely B.1, B.1.1, B.1.36.8, B.1.195, and B.6, in 19 genomes from the first wave cases and variants of concern (VOCs) lineages, i.e., B.1.617.2 (Delta) and BA.2.10 (Omicron) in the second wave cases. There was a shift in mutational pattern in the spike protein coding region of SRAS-CoV-2 strains from the second wave in contrast to the first wave. In the first wave of infections, we observed variations in the ORF1Ab region, and with the emergence of Delta lineages, the D614G mutation associated with an increase in infectivity became a prominent change. We have identified five immune escape variants in the S gene, P681R, P681H, L452R, Q57H, and N501Y, in the isolates collected during the second wave. Furthermore, these genomes were compared with 2160 complete genome sequences reported from central India that encompass 109 different SARS-CoV-2 lineages. Among them, VOC lineages Delta (28.93%) and Omicron (56.11%) were circulating predominantly in this region. This study provides useful insights into the genetic diversity of SARS-CoV-2 strains over the initial course of the COVID-19 pandemic in central India.

Leptospirosis, an underdiagnosed zoonotic disease in India, was studied retrospectively in Madhya Pradesh, Central India. Between 2018 and 2019, 2617 samples from patients with hepatitis-related symptoms were collected. Of these, 518 tested negative for hepatitis and other tropical viral diseases under the VRDL project were analyzed for leptospira IgM using ELISA. 68 (13.12%) were positive for leptospirosis. Common symptoms included fever (97.45%) and jaundice (42.27%), with renal involvement in 30.88% of cases. Higher incidence was observed in the 31-60 age group, especially during monsoon and post-monsoon seasons. The study highlights the need for increased clinician awareness and inclusion of leptospirosis in screening panels to differentiate tropical illnesses in India., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the research work reported here., (Copyright © 2024 Indian Association of Medical Microbiologists. Published by Elsevier B.V. All rights reserved.)

The rise of Crimean-Congo Hemorrhagic Fever (CCHF), poses a significant global health challenge, urging immediate action and continuous surveillance. With no available vaccines, monitoring pathogen presence is critical to identify at-risk areas promptly. A study was designed to assess the incidence of CCHF virus in goats and cattle using commercial ELISA IgG kits in tribal-dominated regions. Overall, 16% of the samples (n = 63/393) were positive for CCHF virus-specific IgG antibodies, whereas sero-prevalence detected in cattle 11.6% [95% CI:7-17.7] and in goats 18.9% [95% CI: 13.76-24.01], respectively. Statistically, Animal gender and age didn't significantly affect prevalence (p-value >0.05). Our finding indicates unnoticed CCHF virus circulation. Notably, lack of public awareness about zoonotic diseases in the study region was recorded. To combat this emerging tick-borne disease effectively, it's crucial to screen individuals with hemorrhagic manifestations in healthcare settings and active surveillance of ticks to prevent unwarranted public health outbreaks and design preventive interventions., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the research. Declaration of Generative AI and AI-assisted technologies in the writing process. The authors declare that generative artificial intelligence (AI) and AI-assisted technologies were used to improve readability and language. The author(s) reviewed and edited the content as needed and take full responsibility for the content of the publication., (Copyright © 2024 Elsevier Ltd. All rights reserved.)