@article {147291, title = {Early Detection of KP.2 SARS-CoV-2 Variant using Wastewater-based Genomic Surveillance in Pune, Maharashtra, India.}, journal = {J Travel Med}, year = {2024}, month = {2024 Jul 17}, issn = {1708-8305}, doi = {10.1093/jtm/taae097}, author = {Rajput, Vinay and Das, Rashmita and Pramanik, Rinka and Nannaware, Kiran and Sushma, Y and Taji, Nyabom and Rajput, Vishal and Rajkhowa, Riyakshi and Pacharne, Poonam and Shah, Priyanki and Gogate, Niharika and Sangwar, Poornima and Bhalerao, Asim and Jain, Nidhi and Kamble, Sanjay and Dastager, Syed and Shashidhara, L S and Karyakarte, Rajesh and Dharne, Mahesh} } @article {140659, title = {Immunogenicity of SARS-CoV-2 vaccines BBV152 (COVAXIN{\textregistered}) and ChAdOx1 nCoV-19 (COVISHIELD{\texttrademark}) in seronegative and seropositive individuals in India: a multicentre, nonrandomised observational study.}, journal = {Lancet Reg Health Southeast Asia}, volume = {22}, year = {2024}, month = {2024 Mar}, pages = {100361}, abstract = {

BACKGROUND: There are limited global data on head-to-head comparisons of vaccine platforms assessing both humoral and cellular immune responses, stratified by pre-vaccination serostatus. The COVID-19 vaccination drive for the Indian population in the age group 18-45 years began in April 2021 when seropositivity rates in the general population were rising due to the delta wave of COVID-19 pandemic during April-May\ 2021.

METHODS: Between June 30, 2021, and Jan 28, 2022, we enrolled 691 participants in the age group 18-45 years across four clinical sites in India. In this non-randomised and laboratory blinded study, participants received either two doses of Covaxin{\textregistered} (4 weeks apart) or two doses of Covishield{\texttrademark} (12 weeks apart) as per the national vaccination policy. The primary outcome was the seroconversion rate and the geometric mean titre (GMT) of antibodies against the SARS-CoV-2 spike and nucleocapsid proteins post two doses. The secondary outcome was the frequency of cellular immune responses pre- and post-vaccination.

FINDINGS: When compared to pre-vaccination baseline, both vaccines elicited statistically significant seroconversion and binding antibody levels in both seronegative and seropositive individuals. In the per-protocol cohort, Covishield{\texttrademark} elicited higher antibody responses than Covaxin{\textregistered} as measured by seroconversion rate (98.3\% vs 74.4\%, p\ \<\ 0.0001 in seronegative individuals; 91.7\% vs 66.9\%, p\ \<\ 0.0001 in seropositive individuals) as well as by anti-spike antibody levels against the ancestral strain (GMT 1272.1 vs 75.4 binding antibody units/ml [BAU/ml], p\ \<\ 0.0001 in seronegative individuals; 2089.07 vs 585.7 BAU/ml, p\ \<\ 0.0001 in seropositive individuals). As participants at all clinical sites were not recruited at the same time, site-specific immunogenicity was impacted by the timing of vaccination relative to the delta and omicron waves. Surrogate neutralising antibody responses against variants-of-concern including delta and omicron was higher in Covishield{\texttrademark} recipients than in Covaxin{\textregistered} recipients; and in seropositive than in seronegative individuals after both vaccination and asymptomatic infection (omicron variant). T cell responses are reported from only one of the four site cohorts where the vaccination schedule preceded the omicron wave. In seronegative individuals, Covishield{\texttrademark} elicited both CD4+ and CD8+ spike-specific cytokine-producing T cells whereas Covaxin{\textregistered} elicited mainly CD4+ spike-specific T cells. Neither vaccine showed significant post-vaccination expansion of spike-specific T cells in seropositive individuals.

INTERPRETATION: Covishield{\texttrademark} elicited immune responses of higher magnitude and breadth than Covaxin{\textregistered} in both seronegative individuals and seropositive individuals, across cohorts representing the pre-vaccination immune history of most of the vaccinated Indian population.

FUNDING: Corporate social responsibility (CSR) funding from Hindustan Unilever Limited (HUL) and Unilever India Pvt. Ltd. (UIPL).

}, issn = {2772-3682}, doi = {10.1016/j.lansea.2024.100361}, author = {Asokan, Mangaiarkarasi S and Joan, Roshni Florina and Babji, Sudhir and Dayma, Girish and Nadukkandy, Prajitha and Subrahmanyam, Vinutha and Pandey, Archana and Malagi, Girish and Arya, Pooja and Mahajan, Vibhuti and Bhavikatti, Jayateerth and Pawar, Ketakee and Thorat, Aishwarya and Shah, Priyanki and Goud, Ramakrishna B and Roy, Bishnudeo and Rajukutty, Shon and Immanuel, Sushil and Agarwal, Dhiraj and Saha, Sankhanil and Shivaraj, Akshatha and Panikulam, Patricia and Shome, Rajeshwari and Gulzar, Shah-E-Jahan and Sharma, Anusmrithi U and Naik, Ajinkya and Talashi, Shruti and Belekar, Madhuri and Yadav, Ritu and Khude, Poornima and V, Mamatha and Shivalingaiah, Sudarshan and Deshmukh, Urmila and Bhise, Chinmayee and Joshi, Manjiri and Inbaraj, Leeberk Raja and Chandrasingh, Sindhulina and Ghose, Aurnab and Jamora, Colin and Karumbati, Anandi S and Sundaramurthy, Varadharajan and Johnson, Avita and Ramesh, Naveen and Chetan, Nirutha and Parthiban, Chaitra and Ahmed, Asma and Rakshit, Srabanti and Adiga, Vasista and D{\textquoteright}Souza, George and Rale, Vinay and George, Carolin Elizabeth and John, Jacob and Kawade, Anand and Chaturvedi, Akanksha and Raghunathan, Anu and Dias, Mary and Bhosale, Anand and Raghu, Padinjat and Shashidhara, L S and Vyakarnam, Annapurna and Bal, Vineeta and Kang, Gagandeep and Mayor, Satyajit} } @article {150948, title = {Monitoring Influenza A (H1N1, H3N2), RSV, and SARS-CoV-2 Using Wastewater-Based Epidemiology: A 2-Year Longitudinal Study in an Indian Megacity Covering Omicron and Post-Omicron Phases.}, journal = {Food Environ Virol}, volume = {17}, year = {2024}, month = {2024 Nov 19}, pages = {3}, abstract = {

The bourgeoning field of wastewater-based epidemiology (WBE) for the surveillance of several respiratory viruses which includes Influenza A, H1N1pdm09, H3N2, respiratory syncytial viruses (RSV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is of interest for public health concerns. However, there are few long-term monitoring studies globally. In this study, respiratory viruses were detected and quantified from 11 sewer sheds by utilizing reverse transcription-quantitative polymerase chain reaction analysis in Pune city, India, from Jan 2022 to Dec 2023. The RNA fragments of respiratory viruses were detected in sewage samples before clinical cases were reported, underscoring the potential of WBE for early detection and monitoring within the population. The Spearman correlation of wastewater viral copies was positively and significantly correlated with the clinically positive case of H1N1pdm09 (ρ = 0.55, p = 1.4 {\texttimes} 10), H3N2 (ρ = 0.25, p = 9.9 {\texttimes} 10), and SARS-CoV-2 (ρ = 0.43, p = 4.1 {\texttimes} 10). The impact of public health interventions on the circulation of infectious respiratory diseases showed a significant difference in the viral load during the period when many preventing measures were carried out against the COVID-19 pandemic (restriction phase), compared to the period when no such preventive measures are followed (no-restriction phase) for Influenza A, H1N1pdm09, H3N2, and RSV with p-value \< 0.05, which indicates the influence of health policy implementation in controlling disease spread. The present study provides an effective approach to detecting multiple respiratory viruses from wastewater and provides insights into the epidemiology of respiratory illnesses. The WBE aids in providing information on the spread of pathogens (viruses) in the community, offering a proactive strategy for public health management, allowing for timely interventions and implementing targeted measures to mitigate the spread of these viruses under one health approach.

}, keywords = {Cities, COVID-19, Humans, India, Influenza A Virus, H1N1 Subtype, Influenza A Virus, H3N2 Subtype, Influenza, Human, Longitudinal Studies, Respiratory Syncytial Virus Infections, Respiratory Syncytial Viruses, SARS-CoV-2, Sewage, Wastewater, Wastewater-Based Epidemiological Monitoring}, issn = {1867-0342}, doi = {10.1007/s12560-024-09618-y}, author = {Pramanik, Rinka and Nannaware, Kiran and Malik, Vinita and Shah, Priyanki and Sangewar, Poornima and Gogate, Niharika and Shashidhara, L S and Boargaonkar, Radhika and Patil, Dhawal and Kale, Saurabh and Bhalerao, Asim and Jain, Nidhi and Kamble, Sanjay and Dastager, Syed and Dharne, Mahesh} } @article {149410, title = {Wastewater surveillance in post-omicron silent phase uncovers silent waves and cryptic transmission of SARS-CoV-2 variants; a yearlong study in Western India.}, journal = {Sci Total Environ}, volume = {955}, year = {2024}, month = {2024 Oct 11}, pages = {176833}, abstract = {

Due to reduced clinical testing and evolving monitoring challenges, tracking the emergence and evolution of SARS-CoV-2 variants has become increasingly complex. To address this gap, we investigated the utility of wastewater-based epidemiology (WBE) as a complementary tool for SARS-CoV-2 variant surveillance in sewage treatment plants (STPs) across Pune, India. We analyzed 1128 wastewater samples collected between May 2022 and May 2023, using Illumina and nanopore sequencing techniques for robust detection and variant characterization. The study revealed critical findings, including "silent waves" with elevated viral load despite minimal clinical cases, suggesting potential cryptic transmission. These silent waves aligned with the dominance of Omicron BA.2 in June-July 2022 and emergence of the recombinant XBB clade in December 2022. Importantly, sequencing detected XBB lineages 130-253\ days before their initial clinical identification, demonstrating its significant advantage in early variant detection. Furthermore, wastewater analysis revealed a higher degree of lineage diversity compared to clinical data, indicating its ability to capture a broader spectrum of circulating variants. The BA.2.86.X was identified 103\ days prior to its clinical detection in Pune, highlighting WBE{\textquoteright}s remarkable lead time. Surprisingly, BF.7.X and BQ.X fragments were also detected in wastewater but not yet reported clinically. These findings demonstrate the remarkable value of WBE as an early warning tool for SARS-CoV-2 variants ahead of time. By revealing silent waves, enabling early variant detection, and capturing a broader viral spectrum, WBE effort could empower public health officials to make informed decisions and implement effective strategies to mitigate future waves, especially in contexts with declining clinical testing.

}, issn = {1879-1026}, doi = {10.1016/j.scitotenv.2024.176833}, author = {Rajput, Vinay and Pramanik, Rinka and Nannaware, Kiran and Malik, Vinita and Matra, Sejal and Kumar, Shubham and Joshi, Sai and Kadam, Pradnya and Bhalerao, Unnati and Tupekar, Manisha and Deshpande, Dipti and Shah, Priyanki and Sangewar, Poornima and Gogate, Niharika and Boargaonkar, Radhika and Patil, Dhawal and Kale, Saurabh and Bhalerao, Asim and Jain, Nidhi and Shashidhara, L S and Kamble, Sanjay and Dastager, Syed and Karmodiya, Krishanpal and Dharne, Mahesh} }