Isolation and molecular characterization of lumpy skin disease virus from Tamil Nadu, India during the outbreaks from 2020 to 2022.

Lumpy skin disease (LSD) caused by LSD virus is a WOAH notifiable, high-impact, transboundary poxviral disease of bovines. The first official report of LSDV in India is from Odisha state during August 2019. Since then, cases have been reported from many states including Tamil Nadu, a Southern state of India. The present study deals with isolation and molecular characterization of LSDV from Tamil Nadu during the period August 2020 to July 2022. LSDV was isolated in embryonated chicken eggs (ECE) and BHK 21 cells and was characterized based on P32, RPO30, and GPCR genes. The phylogenetic analysis revealed that Tamil Nadu isolates from India are closely related to other Indian strains, Kenyan strains and strains from neighboring countries such as Bangladesh, Nepal, and Myanmar confirming the common exotic source for the transboundary spread across borders. The presence of unique signature of amino acid (aa) at specific positions (A11, T12, T34, S99, and P199) in the GPCR sequence confirmed the identity of LSDV. A twelve nucleotide (nt94-105) insertion and corresponding aa (TILS) at 30-33 position was found in GPCR sequence and characteristic amino acid proline at 98 position (P98) in the RPO30 gene sequence of our isolates was similar to strains from Bangladesh, Nepal, and Myanmar. Further, dissimilarity of our isolates from Neethling like vaccine strains confirms the circulation of virulent filed strains responsible for the outbreaks.

Spatiotemporal performance evaluation of high-resolution multiple satellite and reanalysis precipitation products over the semiarid region of India.

The present investigation evaluates three satellite precipitation products (SPPs), Multi-Source Weighted-Ensemble Precipitation (MSWEP), Global Precipitation Climatology Centre (GPCC), Climate Hazard Infrared Precipitation with Station Data (CHIRPS), and two reanalysis datasets, namely, the ERA5 atmosphere reanalysis dataset (ERA5) and Indian Monsoon Data Assimilation and Analysis (IMDAA), against the good quality gridded reference dataset (1991-2022) developed by the India Meteorological Department (IMD). The evaluation was carried out in terms of the rainfall detection ability and estimation accuracy of the products using metrics such as the false alarm ratio (FAR), probability of detection (POD), misses, root mean square error (RMSE), and percent bias (PBIAS). Among all the rainfall products, ERA5 had the best ability to capture rainfall events with a higher POD, followed by MSWEP. Both MSWEP and ERA5 had PODs of 70-100% in more than 90% of the grids and less than 35% of missing rainfall events in the entire Tamil Nadu. In the case of the rainfall estimation accuracy evaluation, the MSWEP exhibited superior performance, with lower RMSEs and biases ranging from - 25 to 25% at the annual and seasonal scales. In northeast monsoon (NEM), CHIRPS demonstrated a comparable performance to that of MSWEP in terms of the RMSE and PBIAS. These findings will help product users select the best reliable rainfall dataset for improved research, diversified applications in various sectors, and policy-making decisions.

Molecular Analysis of Classical Swine Fever Virus Associated Field Infections Evidence Novel CSFV Sub Genotype in Tamil Nadu, Southern India.

Classical swine fever (CSF) is an endemic and major viral infection of Indian swine husbandry, contributing to great economic losses with multiple genotypes associated with vast clinical and subclinical outcomes. Molecular detection and genotyping of CSF virus directly from field samples has great application in disease monitoring and control measures hence this study aimed to isolate and characterize CSFV genotypes circulating in southern states of India. Fifty-seven porcine post-mortem tissues (lymph nodes, spleens, livers, lungs, and kidneys) collected from pigs suspected of systemic infections and sudden death with the history of live attenuated CSF vaccination from different regions of Tamil Nadu were used in this study. An NS5B gene based CSFV specific RT-PCR screening confirmed CSFV positivity in 7% (4/57) of samples with a specific amplicon of 449 bp. Further molecular screening for other viral co-infections such as PCV2, PPV and PRRSV done by specific individual PCR assays to all the samples. Non-involvement of above screened three viral pathogens in all four field samples which showed positivity for CSFV confirming CSFV as primary pathogen. Two RT-PCR positive samples (TNI-4 and CHNL-2) selected randomly and sequenced. Aligned contig sequences of both samples were subjected to BLAST homology search and phylogentic characterization. BLAST study of TNI-4 sequence revealed 99% sequence identity with Indian CSFV sequences of genotype 1 and CHNL-2 showed 98% sequence identity with Indian CSFV sequences of genotype 2. Phylogenetic analysis of the TNI-4 and CHNL-2 sequences obtained in this study along with 38 published CSFV sequences consisting of all 5 new genotypes and 14 sub genotypes through the Maximum Likelihood tree method in MEGA 11 revealed that TNI-4 clustering together with 1.7 sub genotypes and CHNL-2 clustering together with 2.2 sub genotypes. TNI-4 and CHNL-2 partial NS5B gene sequences obtained in this study deposited in the GenBank database under accession numbers of MW822568 and MW822569 respectively. The study is the first to report CSF infections associated with the newer 1.7 sub genotype in Tamil Nadu, southern India. It is possible that vaccination could affect the genetic diversity of the CSFV through recombination and point mutations for immune evasion.

Epidemiology and molecular characterization of Theileria annulata in ticks collected from cattle in the central part of Tamil Nadu, India.

Tick-borne diseases are the most common in cattle in the tropical and subtropical regions of India and lead to substantial economic losses to small and marginal farmers. This study aimed to identify the diverse species of ticks infesting cattle in the central part of Tamil Nadu, India, and to assess the prevalence of Theileria annulata infection in various species of ticks through PCR. Out of 123 cross-bred and 105 native breed cattle examined for tick infestation, 40 (18%) and 29 (12.7%) cattle were infested with Ixodid ticks, respectively. The most prevalent tick species identified was Rhipicephalus microplus (n=589), followed by Hyalomma anatolicum (n=532), Hyalomma marginatum (n=145), Haemaphysalis intermedia (n=79), and Rhipicephalus haemophysaloides (n=1) found in the study area. The prevalence and intensity of the tick infestation were found to be higher in cross-bred (71.04%) than native breed cattle (28.96%), and there was no significant difference between the studied breeds (chi-square value =24; df =20; p value =0.24) was observed. However, a significant difference in the H. anatolicum tick infestation was observed between the Cauvery Delta (14.30%) and the North-Western (20%) zones of Tamil Nadu (p<0.05). DNA fragments of 193 bp derived from 18S rRNA gene sequences of T. annulata were amplified using species-specific primers. Of these, 16 out of 37 (43.2%) and 10 out of 39 (29%) pooled samples of H. anatolicum and 4 out of 18 (22.2%) and 1 out of 5 (20%) pooled samples of H. marginatum were found positive for T. annulata from the Cauvery Delta and North-Western zones, respectively. R. microplus, H. intermedia, and R. haemaphysaloides from these regions were negative. These findings confirm that H. anatolicum (52.17%) is the predominant vector for T.annulata rather than H. marginatum (18.84%), and the PCR is a useful method of determining the infection rates in ticks collected from animals carrying low levels of T. annulata piroplasms.

Spatial distribution of total petroleum hydrocarbons in the seawater and sediment of Southeast coast of India.

The spatial distribution of total petroleum hydrocarbons (TPH) were analysed in the seawater and sediment samples collected from 27 locations along the Southeast coast of India. A first-time assessment was carried out on the distribution of TPH in both water and sediments for the entire coastline of Tamil Nadu. The concentration of TPH in seawater showed large spatial variation ranging from below detection level (BDL) to 47.5 µg/L and 0.01 to 53.12 µg/L in the surface and bottom waters, respectively. TPH levels exceeded the regulatory limits specified by FAO, China's Marine Monitoring Standards and the European Community in the seawater samples of Thoothukudi harbour (S2 station). The results showed that seawaters of southern stations were comparatively more polluted with TPH. TPH values in sediment were between 2.33 and 30.07 µg/g, and their levels remained below the Marine Sediment Quality Standard (500 µg/g). The spatial profile of TPH in sediments were contrasting to that observed for seawater. Higher TPH values were observed in sediments of the northern region than southern. TPH contents are strongly correlated with clay (R2 = 0.776; P < 0.001) and silt (R2 = 0.648; P < 0.001); conversely, there is a significant negative correlation between TPH and sand (R2 = 0.753; P < 0.001). ANOVA analysis demonstrated a significant difference (F = 11.75; p < 0.01) between the TPH concentrations of water and sediments. Non-metric multidimensional scaling (nMDS) was performed to determine the similarity among sampling stations that formed five crusted groups. Sediment along the southeast coast can be categorised as slightly polluted with respect to TPH as per the ATSDR standards.

Spatial variation of covid-19 morbidity status and identification of risk zone in Tamil Nadu (India) during first wave.

COVID-19 is a pandemic disease caused by severe acute respiratory syndrome corona virus 2 (SARS-CoV-2). The study area, Tamilnadu, is a southern state in India. The present study demonstrates the significance of mapping in identifying the risk zones of COVID-19 disease by taking a study of COVID-19 cases in Tamilnadu state. The main objective of the study was to identify the risk zone of COVID-19 disease in the first wave of Tamilnadu through geospatial mapping. Data on COVID-19 cases collected during March 2020 to March 2021 month wise in all 37 districts (unit area) of Tamilnadu in two-month interval wise was analysed. The study is based on secondary sources from respective office in Tamilnadu. Z-score techniques were used for standardizing data. Correlation analysis provided a measure of correlation between COVID-19 and working population. Location Quotient analysis aided the identification of COVID-19 risk zones in Tamilnadu. Present study indicates tertiary workers are more vulnerable to COVID-19 disease.

The burden of COVID-19 infection in a rural Tamil Nadu community.

BACKGROUND: There have been over 30 million cases of COVID-19 in India and over 430,000 deaths. Transmission rates vary from region to region, and are influenced by many factors including population susceptibility, travel and uptake of preventive measures. To date there have been relatively few studies examining the impact of the pandemic in lower income, rural regions of India. We report on a study examining COVID-19 burden in a rural community in Tamil Nadu. METHODS: The study was undertaken in a population of approximately 130,000 people, served by the Rural Unit of Health and Social Affairs (RUHSA), a community health center of CMC, Vellore. We established and evaluated a COVID-19 PCR-testing programme for symptomatic patients-testing was offered to 350 individuals, and household members of test-positive cases were offered antibody testing. We also undertook two COVID-19 seroprevalence surveys in the same community, amongst 701 randomly-selected individuals. RESULTS: There were 182 positive tests in the symptomatic population (52.0%). Factors associated with test-positivity were older age, male gender, higher socioeconomic status (SES, as determined by occupation, education and housing), a history of diabetes, contact with a confirmed/suspected case and attending a gathering (such as a religious ceremony, festival or extended family gathering). Amongst test-positive cases, 3 (1.6%) died and 16 (8.8%) suffered a severe illness. Amongst 129 household contacts 40 (31.0%) tested positive. The two seroprevalence surveys showed positivity rates of 2.2% (July/Aug 2020) and 22.0% (Nov 2020). 40 tested positive (31.0%, 95% CI: 23.02 - 38.98). Our estimated infection-to-case ratio was 31.7. CONCLUSIONS: A simple approach using community health workers and a community-based testing clinic can readily identify significant numbers of COVID-19 infections in Indian rural population. There appear, however, to be low rates of death and severe illness, although vulnerable groups may be under-represented in our sample. It's vital these lower income, rural populations aren't overlooked in ongoing pandemic monitoring and vaccine roll-out in India.

Maternal Vitamin B12 Status and Risk of Cleft Lip and Cleft Palate Birth Defects in Tamil Nadu State, India.

BACKGROUND AND OBJECTIVE: The causal role of maternal nutrition in orofacial clefts is uncertain. We tested hypotheses that low maternal vitamin B12 and low folate status are each associated with an increased risk of isolated cleft lip with or without cleft palate (CL±P) in a case-control study in Tamil Nadu state, India. METHODS: Case-mothers of CL±P children (n = 47) and control-mothers of unaffected children (n = 50) were recruited an average of 1.4 years after birth of the index child and plasma vitamin B12, methylmalonic acid (MMA), total homocysteine (tHcy), and folate were measured at that time. Logistic regression analyses estimated associations between nutrient biomarkers and case-control status. RESULTS: Odds ratios (ORs) contrasting biomarker levels showed associations between case-mothers and low versus high plasma vitamin B12 (OR = 2.48, 95% CI, 1.02-6.01) and high versus low plasma MMA, an indicator of poor B12 status (OR = 3.65 95% CI, 1.21-11.05). Case-control status was not consistently associated with folate or tHcy levels. Low vitamin B12 status, when defined by a combination of both plasma vitamin B12 and MMA levels, had an even stronger association with case-mothers (OR = 6.54, 95% CI, 1.33-32.09). CONCLUSIONS: Mothers of CL±P children in southern India were 6.5 times more likely to have poor vitamin B12 status, defined by multiple biomarkers, compared to control-mothers. Further studies in populations with diverse nutritional backgrounds are required to determine whether poor maternal vitamin B12 or folate levels or their interactions are causally related to CL±P.

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.

Viability of power distribution in India - Challenges and Way Forward.

Energy is a key component for economic growth as well as for human development. India is the third-ranking electricity generator in the world but ranks 106th in terms of per capita consumption. Specifically, the distribution of power is the most important link in the value chain of the power sector since it is the cash register for the entire sector. In India, electricity is a concurrent subject shared between the Central and State Governments. While the generation of power has been deregulated since 2003, the supply of power to the consumers is generally carried out by Government-owned power Distribution Companies (DISCOMs). In this paper, the authors analyze the financial distress of DISCOMs in India, and explain how the supply-demand mismatch due to over-ambitious demand projections, the fixed and energy charges of thermal power plants, and the excess procurement of "must-run" renewable sources together contribute to the high cost of power procurement that drives the financial stress faced by DISCOMs. The authors support their assertion with a study of nine DISCOMs supplying electricity to 155 million people in three States and propose policy recommendations for a turnaround of such DISCOMs which can be rolled out with suitable modifications across India.

Distribution and growth rate of COVID-19 outbreak in Tamil Nadu: A log-linear regression approach.

BACKGROUND: Most of the countries are affected with the pandemic outbreak of the coronavirus infection. Understanding the severity and distribution in various regions will help in planning the controlling measures. OBJECTIVES: The objective was to assess the distribution and growth rate of COVID-19 infection in Tamil Nadu, India. METHODS: The data on the number of infections of COVID-19 have been obtained from the media reports released by the Government of Tamil Nadu. The data contain information on the incidence of the disease for the first 41 days of the outbreak started on March 7, 2020. Log-linear model has been used to estimate the progression of the COVID-19 infection in Tamil Nadu. Separate models were employed to model the growth rate and decay rate of the disease. Spatial Poisson regression was used to identify the high-risk areas in the state. RESULTS: : The models estimated the doubling time for the number of cases in growth phase as 3.96 (95% confidence interval [CI]: 2.70, 9.42) days and halving time in the decay phase as 12.08 (95% CI: 6.79, 54.78) days. The estimated median reproduction numbers were 1.88 (min = 1.09, max = 2.51) and 0.76 (min = 0.56, max = 0.99) in the growth and decay phases, respectively. The spatial Poisson regression identified 11 districts as high risk. CONCLUSION: The results indicate that the outbreak is showing decay in the number of infections of the disease which highlights the effectiveness of controlling measures.

Hypodermosis in cattle translocated to Tamil Nadu from Punjab.

Fifteen apparently healthy Kandari cross-bred cattle aged about 4 years were purchased from Rurki, Patiala district of Punjab by a private dairy farmer in Erode, Tamil Nadu. Four animals showed eruptions on the lateral thoracic and dorsal abdominal regions of the body after 15-day period of quarantine. Manual palpation of the eruptions resulted in the emergence of larval stages of dipteran flies, identified by their morphology as Hypoderma from these animals. Molecular identification based on mitochondrial cytochrome oxidase-1 (COX-1) gene confirmed it to be Hypoderma lineatum. Treatment with oral ivermectin did not have any curative effects, with exacerbation of disease being noticed, as more than 500 eruptions subsequently emerged in each animal, which had to be culled. Consequences of long distance migration of host on parasite epidemiology are discussed. Awareness must be created among livestock farmers to prevent their economic loss while purchasing cattle from different parts of the country.

Human leucocyte antigen (HLA)-A, -B, -C, -DRB1 and -DQB1 haplotype frequencies from 2491 cord blood units from Tamil speaking population from Tamil Nadu, India.

The Public Cord Blood Bank of Jeevan Stem Cell Foundation was established in 2008 to harvest cord blood units and make them available to treat multiple blood disorders through Hematopoietic Stem Cell Transplants. We studied Human Leucocyte Antigen (HLA)-A, -B, -C, -DRB1 and -DQB1 allele and haplotype diversity in a sample of 2491 unrelated cord-blood units from Jeevan's Public Cord Blood Bank (part of Be The Cure Registry) in the Tamil Nadu state in the Indian Peninsula.

Department of Neurosurgery, Madurai Medical College and the development of neurosurgery in South Tamil Nadu.

The development of neurosurgery in South Tamil Nadu can be traced to the Department of Neurosurgery, Madurai Medical College and Government Rajaji Hospital, Madurai, Tamil Nadu, India. The hospital was established in the year 1940 and Madurai Medical College was started in 1954. Prof. M. Natarajan founded this department in September, 1963. This department has a Neurosurgery Residency Program that is 50 years old. The establishment of this department and its growth to its present stature is documented here.

Comorbid Illness, Injuries and Health Insurance Subscription Among Self-Reported Mentally Disabled Subjects of Tamil Nadu, India.

BACKGROUND: -Mentally Disabled (MD) subjects often have multiple co-morbidities and also experience injuries, acute and chronic illness like the general population. Details of such episodes and the impact of health insurance have not been described for Tamil Nadu, an Indian state population. This manuscript intends to report on this experience. MATERIALS AND METHOD: -Secondary Data Analysis of District Level Household and Facility survey-4 (2012-13) were employed for this study. Comparison of MD with the normal population was performed. Demographic characteristics along with injury (in preceding year), acute illness (within past 15 days) and the experience of chronic illness (requiring treatment for 1 month), treatment seeking behavior and health insurance coverage formed the variables. Descriptive statistics, chi-square and odds ratio are presented. P≤0.005 was considered as statistical significance. RESULT: -Of the 179381 surveyed, 565(0.3%) had some form of MD and 169938 (94.7%) had no disabilities. The two groups varied in age, gender, and marital status. MD population had nearly 4 times the incidence of injury (P = 0.000) in the past 1 year, more commonly requiring in-patient treatment. Epilepsy was more common among individuals with MD with odds ratio of 7.159 [P = 0.015]. Health insurance cover and its influence on treatment seeking behavior are presented. DISCUSSION: -The experience of injuries, acute and chronic illness by individuals with MD, to the best of our knowledge has been described for the first time in Tamil Nadu. Individuals with MD and without health insurance often do not take treatment. The absence of health insurance with the resulting increased cost of out-of-pocket expense for chronic illness may force them to neglect their health. These factors are discussed along with recommendations for policy makers.

Herd-level risk factors for bovine viral diarrhea infection in cattle of Tamil Nadu.

A cross-sectional study was carried out to identify risk factors for bovine viral diarrhea virus (BVDV) infection in 62 randomly selected dairy herds which were tested for BVD serum antibodies by using an indirect ELISA kit (IDEXX). Results from the chi-square test analysis were interpreted by analyzing by chi-square test. A sum of 500 sera samples were screened and 66 animals (13.20%) showed positive for BVDV antibody. Within herd, BVD seroprevalence was 12-65%. This study concluded that epidemiological risk factors like location, herd size, housing patterns like, tail to tail system, roofing pattern, distance between the manure pit and farm, and distance between farms were significantly associated with BVDV serological status (P < 0.05).

An assessment of subsurface contamination of an urban coastal aquifer due to oil spill.

Incidences of leakages of chemicals from underground oil storage tanks or oil-carrying pipelines have posed huge threat to the coastal aquifers around the world. One such leak was recently identified and notified by the people of Tondiarpet, Chennai, India. The assessment of the contamination level was done by obtaining electrical resistivity maps of the subsurface, drilling of 20 new borewells for soil and water analysis, and testing the water quality of 30 existing borewells. Samples were collected from the borewells, and observations were made that included parameters such as odor, moisture, contamination characteristics, lithology, groundwater level, thickness of the free product that are used to demarcate the extent of soil, and water contamination. Furthermore, a multigas detector was used to detect hydrocarbon presence as soil vapor. Moreover, to capture the transport of dissolved hydrocarbons, 10 samples were collected in the periphery of the study area and were analyzed for the presence of petroleum hydrocarbon and polyaromatic hydrocarbon. Analysis of the data indicated the presence of free-phase hydrocarbon in soil and groundwater close to the junction of Thiruvottiyur high (TH) road (TH) and Varadaja Perumal Koil (VPK) street. Although the contaminant plume is confined to a limited area, it has spread more to the southern and eastern side of the pipeline possibly due to continuous abstraction of groundwater by residential apartments. After cutting a trench along the VPK street and plotting of the plume delineation map, observations indicated that the source of the hydrocarbon leak is present in VPK street close to TH road. A multipronged strategy was suggested targeting the remediation of oil in various phases.

Genetic portrait of Tamil non-tribal and Irula tribal population using Y chromosome STR markers.

The 17 Y chromosomal short tandem repeat loci included in the AmpFlSTR® Yfiler™ PCR Amplification Kit were used to analyse the genetic diversity of 517 unrelated males representing the non-tribal and Irula tribal population of Tamil Nadu. A total of 392 unique haplotypes were identified among the 400 non-tribal samples whereas 111 were observed among the 117 Irula tribal samples. Rare alleles for the loci DYS458, DYS635 and YGATAH4.1 were also observed in both population. The haplotype diversity for the non-tribal and Irula tribal population were found to be 0.9999, and the gene diversity ranged from 0.2041 (DYS391) to 0.9612 (DYS385). Comparison of the test population with 26 national and global population using principal coordinate analysis (PCoA) and determination of the genetic distance matrix using phylogenetic molecular analysis indicate a clustering of the Tamil Nadu non-tribal and Irula tribal population away from other unrelated population and proximity towards some Indo-European (IE) and Asian population. Data are available in the Y chromosome haplotype reference database (YHRD) under accession number YA004055 for Tamil non-tribal and YA004056 for the Irula tribal group.

Post-tsunami relocation of fisher settlements in South Asia: evidence from the Coromandel Coast, India.

The tsunami that struck the coasts of India on 26 December 2004 resulted in the large-scale destruction of fisher habitations. The post-tsunami rehabilitation effort in Tamil Nadu was directed towards relocating fisher settlements in the interior. This paper discusses the outcomes of a study on the social effects of relocation in a sample of nine communities along the Coromandel Coast. It concludes that, although the participation of fishing communities in house design and in allocation procedures has been limited, many fisher households are satisfied with the quality of the facilities. The distance of the new settlements to the shore, however, is regarded as an impediment to engaging in the fishing profession, and many fishers are actually moving back to their old locations. This raises questions as to the direction of coastal zone policy in India, as well as to the weight accorded to safety (and other coastal development interests) vis-à-vis the livelihood needs of fishers.

Seroprevalence of Japanese encephalitis virus in pig populations of Tamil Nadu, India: Exploring the tropical endemic link of virus.

Japanese encephalitis virus (JEV) is a major cause of encephalitis in Southeast Asia. Tamil Nadu, a state located in the southern part of India, contributes substantially to the national burden of human JE cases every year. However, limited information is available on the epidemiology of JE in pig populations of Tamil Nadu. A cross-sectional study was conducted to assess JEV prevalence in pig populations of Tamil Nadu. A total of 710 pigs reared in 118 farms across 10 districts of Tamil Nadu were sampled using multistage cluster random sampling. Serum samples were analyzed for their JEV status using Immunoglobulin M (IgM) and Immunoglobulin G (IgG) Enzyme-Linked Immunosorbent Assay (ELISA). At the animal-level, the apparent JEV seroprevalence was 60.4% (95% CI: 56.8% - 64.0%) and the true seroprevalence was 50.1% (95% CI: 47.0% - 53.2%). The herd-level apparent seroprevalence was 94.1% (95% CI: 88.1% - 97.5%) and the true seroprevalence was 93.3% (95% CI: 89.5% - 96.2%). The intensity of JEV circulation was high in all the districts, with seroprevalence ranging between 43% and 100%. Pigs across all age categories were seropositive and a high overall seroprevalence of 95.2% (95% CI: 76.2% - 99.9%) was recorded in pigs older than 12 months. JEV seropositivity was recorded in all the seasons but the prevalence peaked in the monsoon (67.9%, 95% CI: 61.1% - 74.2%) followed by winter (65.1%, 95%CI: 57.4% - 72.2%) and summer (53.3%, 95% CI: 47.8% - 58.8%) seasons. The results indicate that JEV is endemic in pigs populations of the state and a one health approach is essential with collaborative actions from animal and public health authorities to control JE in Tamil Nadu, India.