Northeastern Region Research Articles

The Impact of Intelligent Logistics on Logistics Performance Improvement

The logistics industry is essential to global economic development but continues to grapple with challenges related to quality improvement, cost reduction, and efficiency enhancement. Addressing these issues is crucial for promoting high-quality growth within the sector. The emergence of intelligent logistics—leveraging automation, data analytics, and Internet of Things (IoT) technologies—offers a promising approach to transforming traditional logistics operations. This study develops a theoretical framework that integrates these intelligent logistics components to investigate their mechanisms and limitations in influencing logistics performance. Using an empirical analysis of Chinese provincial panel data, we identify significant disparities in logistics industry performance across the provinces, with most regions exhibiting an initial improvement followed by a subsequent decline. Our findings reveal a notable spatial interaction effect between intelligent logistics and logistics performance, indicating that intelligent logistics substantially enhance performance. However, the impact varies by region: it significantly promotes performance in the eastern and western regions but has a limited effect in the central and northeastern regions, potentially due to distortions in production factors and other regional specificities. Additionally, the degree of openness to the outside world positively influences logistics performance in the western region. The proposed mechanisms are validated in all regions except the eastern region. This study provides valuable insights for policymakers on leveraging intelligent logistics to improve logistics industry performance, highlighting the need for region-specific strategies to maximize the benefits of intelligent logistics technologies.

Spatial analysis and associated risk factors of HIV prevalence in Botswana: insights from the 2021 Botswana AIDS Impact Survey (BAIS V)

BackgroundThe global burden of HIV and AIDS continues to significantly impact public health, particularly in Sub-Saharan Africa. This study investigates the spatial distribution and associated risk factors of HIV prevalence in Botswana using data from the 2021 Botswana AIDS Impact Survey (BAIS V).MethodsThe analysis included 12,653 adults aged 15–64 years and employed chi-square tests, multilevel mixed-effects regression, and spatial analysis techniques. HIV prevalence estimates were visualized through choropleth maps, and spatial autocorrelation was analyzed using Anselin Local Moran’s I in ArcGIS 10.8.2 software.ResultsFindings revealed that 18% (ARR 95% CI: 0.15–0.23) of the surveyed population were people living with HIV (PLWH), with females disproportionately affected (66.8%). Females were 1.63 times more likely to be living with HIV compared to males (ARR 1.63, 95% CI: 1.52–1.76), and individuals aged 35–44 years (ARR 10.59 95% CI 8.96–12.52) were at the highest risk compared to the 15–24 year group. Lower education levels, rural residency, marital status (single), age (middle to late adulthood 35–54 years) and females were identified as key determinants of HIV infection. Spatial analysis showed Central Mahalapye as the district with the highest HIV prevalence rate (33.7%). Further, a high HIV prevalence cluster was found in the northeastern region of Botswana, while urban districts like Gaborone had significantly lower rates (11.2%).ConclusionsThese findings emphasize the role of socio-demographic and spatial factors in shaping HIV risk. Intensified targeted interventions, particularly for females, individuals with lower education, and rural populations, are recommended to reduce HIV transmission and mitigate the epidemic’s impact in Botswana.

Green Bond Policy and Corporate ESG Performance

In recent years, green bonds, as a new type of financial instrument, have gradually become an important tool for promoting corporate green transformation and improving environmental, social, and governance (ESG) performance. Based on data from A-share listed companies from 2010 to 2020, this paper empirically analyzes the impact of the 2015 green bond policy guidelines on corporate ESG ratings and its mechanisms using the difference-in-differences (DID) method. The study finds that the implementation of the green bond policy significantly improves corporate ESG ratings and indirectly promotes improvements in environmental protection, social responsibility, and governance structure by reducing financing costs. In addition, this paper reveals the heterogeneous effects of the green bond policy across different regions, types of enterprises, and industries. It finds that the policy has a more significant effect in economically developed regions and non-state-owned enterprises, while its impact is relatively weaker in the central and northeastern regions. Mechanism analysis shows that the reduction in financing costs plays an important mediating role in enhancing corporate ESG performance through the green bond policy. This paper provides empirical support for policymakers to optimize green finance policies and offers new perspectives for companies to use green bonds to improve their sustainable development capabilities.

The Impact of Farmland Transfer on Urban–Rural Integration: Causal Inference Based on Double Machine Learning

Urban–rural fragmentation represents a significant challenge encountered by nations globally, particularly in both developing and developed contexts, during the modernisation process. This study examines the effects of rural land system reform on facilitating integrated development between urban and rural areas. The analysis of the impact of the 2010 liberalisation of the land transfer policy employs a dual machine learning model, utilising provincial-level data from China spanning 2005 to 2022, to address the limitations of traditional causal inference models while ensuring estimation accuracy. The findings indicate that the reform of the rural land system significantly enhances integrated urban–rural development, particularly in demographic, economic, and ecological dimensions. The mechanisms encompass the facilitation of extensive land and agricultural service operations, the development of new business entities, the migration of rural labour, and the enhancement of agricultural capital. Furthermore, notable disparities exist in the effects of reforms across various regions, particularly concerning urban–rural integration development and land transfer levels. The policy effects of land transfer exhibit a marginally diminishing trend. The influence of land transfer on urban–rural integration varies with economic development levels, demonstrating a nonlinear relationship, with the most pronounced effects observed in regions with moderate economic development. Additionally, the policy effects of land transfer differ based on geographic location. The impact of land transfer policies varies across geographic regions, with the central region exhibiting the most significant effect, followed by the north-eastern region, the western region, and the eastern region, which shows the least effect. This study provides a reference for advancing the reform of the marketisation of land factors, improving the efficiency of land resource allocation, and regionally and in multiple layers advancing the reform of the rural land system.

Light-level geolocators and species distribution modeling reveal that the Vulnerable Sporophila cinnamomea (Chestnut Seedeater) migrates through the Paraná-Paraguay System to Central Brazil

Abstract The movement ecology of migratory Sporophila seedeaters in the Neotropics, particularly their migratory routes and nonbreeding areas, remains poorly understood. This study aimed to fill this gap by providing a detailed description of these migratory routes, stopovers, and nonbreeding areas using light-level geolocators on Sporophila cinnamomea (Chestnut Seedeater), a vulnerable species that breeds in southern South America. Species distribution modelling was employed to estimate the probability of occurrence at distribution extremes. Over 3 breeding seasons (October to March 2018–2021), geolocators were affixed to 14 adult males. The overall device recovery rate was 64% (n = 9), and these 8 devices operated, on average, for 301 days. Autumn migration commenced on 24 February, lasting 46 days and spanning 1,679 km, with an average of 2.38 ± 0.92 stopovers—twice the number observed during spring migration (1.40 ± 0.89). We identified 8 nonbreeding areas utilized by the birds for an average of 145 days, primarily located between the northern and northeastern regions of the Paraná and Paraguay Rivers and the southern Tocantins River. Spring migration began in early September, lasted ~58 days, and covered 2,940 km. In both migrations, birds followed routes along the Paraná-Paraguay River valleys, with no significant difference in the number of stopovers detected between seasons. The nonbreeding period model indicated high habitat suitability in 2 regions within the Cerrado biome, particularly a larger area predominantly in the southern and then in the central regions of the Tocantins River. In the southern limit, the breeding model highlighted the most representative area, which is located in the central-eastern region of the Uruguay River. Our study offers valuable insights into the migratory patterns of S. cinnamomea. These findings should be used to inform the planning and establishment of protected areas aimed at conserving grassland species.

Crustal and Upper Mantle Structure of the Assam Valley Region, NE India: A Review of Geophysical Findings

The northeastern region of India is one of the six most seismically active convergent plate tectonic areas in the world. The north–south convergence along the Indo-Tibetan Himalayan Ranges and the east–west subduction within the Indo-Burma Ranges create a complex stress regime, resulting in significant seismic activity and a history of great/large earthquakes. The region’s intricate strain patterns, active faults, and potential seismic gaps underscore the need for detailed subsurface studies to effectively assess seismic hazards and impending seismicity. Geophysical research is essential for understanding the region’s geodynamic evolution, seismotectonics, and mineral resources. This manuscript reviews the geological and tectonic settings of the region and summarizes recent geophysical studies, including seismic, gravity, magnetic, and magnetotelluric surveys conducted in the Assam Valley and adjacent areas (within latitudes 24.5–28.5° N and longitudes 89–97.5° E). The review highlights key findings on hydrocarbon-bearing sediments, the configuration of the crystalline basement, the heterogeneous structures of the crust and upper mantle, and seismic discontinuities. By synthesizing these results, the review aims to enhance the understanding of seismic hazards in Northeast India, guide mitigation strategies, and identify key knowledge gaps to direct future research efforts.

Regional Variations and Adaptive Morphology of Apis cerana Forelegs Across India

This study investigated the foreleg morphometry of Apis cerana across 16 diverse locations in India, spanning the northern, southern, and northeastern regions, to explore regional adaptations and environmental influences. The foreleg measurements were analyzed for five key segments: The coxa, trochanter, femur, tibia, and tarsus. Significant regional differences were observed, with northern populations exhibiting larger dimensions, southern populations showing smaller forelegs, and northeastern populations showing intermediate measurements. These variations are likely linked to the distinct climatic conditions and flora in each region, suggesting adaptive responses to environmental pressures. The tibia showed consistent dimensions across all regions, indicating its evolutionary conservation for basic leg functions, whereas the coxa and trochanter exhibited higher variation, reflecting fine-tuned adaptations to local ecological demands. This study provides valuable insights into the morphological diversity and functional adaptations of Apis cerana, contributing to our understanding of how environmental factors shape honeybee morphology.

Genotypic and phenotypic diversity of Mycobacterium tuberculosis strains from eastern India.

Whole genome sequencing has been used to investigate the genomic diversity of M. tuberculosis in the northern and southern states of India, but information about the eastern part of the country is still limited. Through a sequencing-based strategy, this study seeks to comprehend the diversity and drug resistance pattern in the eastern region. A total of 102 M. tuberculosis isolates from North East (n = 54), and Odisha (n = 48) were sequenced along with 7 follow up isolates from Sikkim. The pre-XDR and XDR isolates diagnosed as per the NTEP diagnostic algorithm were subjected for phenotypic second-line liquid culture drug susceptibility testing in MGIT-960 system. After filtering out low quality isolates based on taxonomic classification and depth of coverage, variant calling was performed. We observed a high prevalence of multi-drug resistant TB (MDR-TB) lineage 2 (52/54) isolates in northeast whereas there was a mixed representation of lineage 1 (30/48) & lineage 3 (11/48) in Odisha. The MDR-TB isolates from Sikkim posed a high rate (51/53) of fluoroquinolone resistance and pairwise SNV distances (≤10) indicating possible local transmission events in the region. We observed occurrence of genetic variations in genes associated with bedaquiline and delamanid resistance. Our findings show the diversity of M. tuberculosis vary across the eastern regions, in north eastern states lineage 2 has a dominant presence while lineage 1 and 3 has mixed representation in Odisha. The high prevalence of fluoroquinolone resistance in north eastern region associated with variations in gyrA gene and may have been caused by local transmission events based on genomic similarities.

Improving Medication-Related Safety for Residents in Nursing Homes: A Qualitative Study.

To gain a better understanding of the perceptions of RNs on medication safety concerns and potential solutions for nursing home (NH) residents. This prospective, qualitative study used semi-structured phone interviews with a description approach. We used purposeful sampling to recruit 12 RNs employed at two NHs in the northeastern region of the United States. The Systems Engineering Initiative for Patient Safety constructs informed the interview guide, coding, and qualitative theme identification. We categorized non-user-friendly charting systems and gained insights into more experience with paper-based charting under the technology component. For the organization component, participants identified the importance of teamwork, communication, and leadership. Participants also mentioned how education and nationality of training impact medication administration (MA) safety. Task-related concerns revealed how different care approaches, extreme workload variation, and task prioritization during the day are perceived as critical issues that need to be addressed. Staff shortages were also expressed as an environment-related concern. Findings highlight the importance of appropriate nurse-to-patient ratio, the significance of user-friendly charting systems, and customizing the interface of MA in the charting system. [Journal of Gerontological Nursing, xx(xx), xx-xx.].

Green finance and urban carbon emission dual control: an empirical evidence from China

The Chinese government has proposed shifting the regulation of energy consumption and intensity towards a dual control system of total carbon emissions and carbon emission intensity gradually, aiming to promote the continued role of green finance in optimizing resource allocation. To reveal the impact and mechanism of green finance on urban carbon emissions and intensity in China, this paper constructs a general equilibrium model based on endogenous growth theory and employs a two-way fixed effects model for empirical testing. The study finds that: (1) The development of green finance significantly inhibits both the total carbon emissions and carbon emission intensity of Chinese cities. (2) The impact of green finance on urban carbon emissions and intensity exhibits significant regional heterogeneity. In the northeastern regions of China, southeastern regions of the Hu Line, non-resource-based cities, and areas with higher financial efficiency, green finance can significantly reduce both urban carbon emissions and carbon emission intensity. However, in central and western regions and resource-based cities, green finance only suppresses urban carbon emission intensity. (3) Green finance can reduce urban carbon emissions and intensity through two channels: economic scale expansion and technological advancement, while the channel of industrial structure optimization has not yet shown a significant effect. Through research, it can be found that balancing the differences in green finance and carbon emission functions across regions, while fully optimizing the use and allocation mechanisms of resource elements from aspects such as technological innovation, environmental protection, and energy conservation, can enhance the quality and efficiency of economic development. This is of significant importance for green finance in promoting the realization of dual carbon control.

Prevalence of Zoonotic Diseases in the Northeastern region, One Health perspective

Prevalence of Zoonotic Diseases in the Northeastern region, One Health perspective

Sustainable regional development from the perspective of economic resilience: Based on the impact of COVID-19.

The process of regional economic development is marked by a sustained exposure to external disturbances. In today's unpredictable and tumultuous global environment, such disturbances have become increasingly common, underlining the need to advance a region's economic resilience and foster adaptive mechanisms to handle environmental flux. Comparing the typical provinces in eastern, central, western and northeastern regions during the COVID-19 epidemic period, it found that the economic resilience performance of Henan Province, which is a representative of the central region, has the following characteristics. Henan Province has the lowest total production resilience in the selected regions, but it is in the second position in terms of development potential resistance, while it is in the middle range in terms of resilience performance, and it has a weaker resistance performance in terms of the resilience indicator of the standard of living of the residents. Against this backdrop, this study undertakes an analysis and comparison of the economic resilience indicators of the 18 cities in Henan Province to suggest several refinements. It urges a promotion of the integrated development of the primary, secondary, and tertiary industries through increasing emphasis on the industrial sector, which will enable a transformation of the sectoral structuring. Further, digitization can help the upgrading of industries' intelligence and function as a lever to raise their competitiveness. Innovation in enterprises is also crucial in enhancing industrial competitiveness, by bolstering the technological innovation capabilities of enterprises and simultaneously boosting the wage-based incomes of residents, resulting in an overall improvement in their standard of living. Also, the study emphasizes the establishment of a digital talent platform to construct a sound regional talent ecology system.

Identification of suitable vegetation restoration areas and carrying capacity thresholds on the Loess Plateau.

The Loess Plateau is one of the most ecologically fragile areas in the world. It has long faced the twin dilemmas of ecological degradation and water resource shortage. In recent decades, large-scale vegetation restoration projects have been carried out on the Loess Plateau with the aim of improving the ecological environment. However, as the vegetation cover increases, the water consumption of vegetation also increases, which further exacerbates the problem of water resource shortages. In order to effectively utilize water resources and balance the relationship between forests and water use, suitable vegetation restoration areas were identified on the Loess Plateau by constructing a vegetation suitability evaluation model based on multiple index factors (precipitation, temperature, altitude, slope, aspect, soil texture, soil depth, soil organic matter and ecological water consumption). The suitable restoration area results are given as follows: trees comprised 18.58% of the total vegetation coverage area and were mainly distributed across the central and southern Loess Plateau; shrublands comprised 32.58% of the total vegetation coverage area and were mainly distributed across the northern part of the Loess Plateau; and grasslands comprised 48.84% of the total vegetation coverage area and were mainly distributed across the western and northeastern regions of the Loess Plateau. On this basis, the Eagleson model was used to identify the bearing capacity of vegetation in the suitable restoration area. The optimal simulated vegetation coverage values of the suitable restoration areas are given as follows: grassland, 0.246-1.000; shrubland, 0.186-0.783; and trees, 0.137-0.868. These results can help guide the local ecological environment construction, offer theoretical support for the ecological restoration of similar areas and provide a scientific reference for the effective use of water resources and vegetation restoration on the Loess Plateau.

Tertiary Coal Deposits from the North-eastern Region of India – A review

Tertiary Coal Deposits from the North-eastern Region of India – A review

Species Richness and Abundance of Social Wasps (Vespidae: Polistinae) Associated with Shaded Cocoa Agroforests (Theobroma cacao L.) in Southern Bahia State, Brazil

Traditional cocoa agroforests of southern Bahia in Brazil, locally known as “cabrucas”, are highly relevant for sheltering forest species, being thus recognized as a biodiversity-friendly agricultural system. However, despite their role in biodiversity conservation, little is known about the ability of cocoa agroforests to maintain social wasp assemblages in human-modified landscapes. Here, we present the first list of social wasp species recorded in shaded cocoa agroforests in southern Bahia. In total, we collected 25 species of social wasps belonging to nine genera, representing 20% of the known species richness for the entire northeastern region of Brazil. In particular, Angiopolybia pallens (Lepeletier), Agelaia angulata (Fabricius), and Agelaia centralis (Cameron) were the most abundant species, with 186, 70, and 36 individuals, respectively. Notably, we report six previously unrecorded species from Bahia state: Agelaia flavipennis (Ducke), Polybia emaciata Lucas, Polybia quadricincta (Saussure), Agelaia angulicollis (Spinola), Parachartegus smithii (Saussure) and Protopolybia acutiscutis (Cameron). Of these six species, three are recorded for the first time in the Northeast region of Brazil and two for the Atlantic Forest biome. Based on our findings, we emphasize that cocoa agroforests can contribute to maintaining the diversity of social wasps in human-modified landscapes.

Modeling Sediment Yield with Current and Projected Climatic Scenarios in Andit Tid Watershed, Central Highland of Ethiopia

Our ability to engage in long-term land management solutions that will benefit both land and water users is made possible by our understanding of how climate change affects sediment yield. This study aimed to determine the spatiotemporal distribution of sediment yield in the Andit Tid watershed as well as simulate sediment yield under existing and anticipated climate scenarios. SWAT and Arc GIS 10.5 software were used to estimate and map the spatial distribution of sediment yield. The annual average estimated sediment yield of the watershed was found to be 17.9 t ha-1 yr-1. The R2 was found to be 0.62 and 0.72 during calibration and validation of sediment yield. The projected average sediment yield up to 2098 under the wettest scenario is 13.7 t ha-1 in RCP 4.5 and 16.1 t ha-1 in RCP 8.5, respectively. It was discovered that, in comparison to the current average sediment, the near future (2022–2060) sediment was equal to it in RCP 4.5 and decreased by 41% in RCP 8.5, whereas the far future (2061–2098) sediment grew by 20.4% in RCP 8.5 and decreased by 35% in RCP 4.5. Out of the projected 76 years, 21 and 23 years showed positive deviations from the mean of the existing sediment yield under RCP 4.5 and 8.5, respectively. While in the driest scenario, the projected sediment yield was lower than the current rate, which was about 4 t ha-1 in both RCPs. In both current and future climate scenarios, the northeastern, eastern, and western regions were contributing to the higher sediment yield in the watershed. Most of these watershed hotspot regions were situated on farmed land with a slope of more than twenty percent and active gullies. When developing and executing management solutions in the areas that are severely impacted, the watershed community and decision-makers are recommended to make use of the spatial distribution map. It is also necessary to take steps to lessen the likelihood that the emission scenarios that result in RCP 8.5 will occur.

The impact of informatization development on healthcare services in China

China faces substantial challenges in healthcare access and quality, marked by significant regional disparities. While the potential of informatization to enhance healthcare services is increasingly acknowledged, the specific mechanisms through which it impacts healthcare delivery remain underexplored. By employing provincial panel data and dynamic spatial panel models, we aim to uncover the mechanisms through which informatization impacts healthcare delivery. Our findings reveal notable regional differences, with the Eastern and Central regions leading in service levels, while the Western and Northeastern regions lag behind. Both informatization development and healthcare services demonstrate significant spatial interaction effects, indicating that improvements in informatization can positively influence healthcare services overall. However, the impact varies: while informatization benefits the Northeastern and Western regions, its effect in the Eastern region is not statistically significant, and the Central region experiences a negative impact. Furthermore, advancements in informatization in the Eastern and Central regions have the potential to enhance healthcare services in the Western and Northeastern regions. By providing empirical insights that identify key digital factors to enhance healthcare efficiency and quality, this study can assist policymakers in China and around the world in adopting more effective strategies to reduce the digital divide in healthcare and promote the development of more equitable and efficient healthcare systems.

Delineating Structural Features Related to Hydrothermal Alterations for Possible Mineralization in Share Area, Kwara State Nigeria Using Aeromagnetic Data

Mineral deposits of significant economic value are abundant in the subsurface of Nigeria, presenting a promising alternative to the nations over dependence on petroleum revenues. This study interprets aeromagnetic data from Share, Kwara State, Nigeria, to delineate subsurface structural features associated with hydrothermal zones, which are key indicators for potential mineralization. The methodologies applied upward continuation, analytic signal, tilt derivative, and first vertical derivative (FVD). These offer insights into subsurface geology that can be broadly applied in geophysical exploration and mineral resource management. The results reveal structural trends predominantly in the NE–SW direction, with some NW–SE alignments, indicative of hydrothermal alterations linked to mineral deposits. The analytical signal map identified amplitude values ranging from 0.004 nT/m to 0.073 nT/m, with low and intermediate magnetic intensities linked to sediment-filled basement rocks and possible limestone and sandstone formations. High-gradient anomalies, 1.280 nT/m to 1.374 nT/m, were attributed to geological contacts, fractures, dykes, and hydrothermal vents. Depth estimates from the source parameter imaging map revealed hydrothermal and structural zones at depths ranging from 287.9 m to 1360.7 m, with deeper sources >1202.1 m indicating tectonic activity and mineralization potential. The FVD and Tilt Derivative maps further highlighted faulted zones, shear structures, and intrusive bodies with intensities between 0.031 nT/m and 0.041 nT/m, suggesting active tectonics. High magnetic anomalies in the central, northeastern, and southeastern regions were identified as prime targets for exploration, indicating magnetite-rich bodies, igneous intrusions, and hydrothermal zones. Integrated exploration strategies combining geophysical, geochemical, and structural data are recommended to refine anomaly delineation, prioritize field validation, and enhance mineralization discovery. These findings establish the Share area as a promising site for regional mineral exploration, supporting Nigeria’s diversification efforts toward sustainable resource development.

An Overview of the Results and Widespread Effects of the Hazelnut Gardens Rehabilitation Project in Ordu Province and Region

This paper provides a comprehensive overview of the results and widespread effects of the Hazelnut Gardens Rehabilitation Project in Ordu Province and the surrounding region of northeastern Türkiye. The project launched some years ago, aimed to revitalize the region's vital hazelnut industry by addressing challenges such as aging hazelnut orchards, poor agricultural practices, and environmental degradation. The paper examines the multifaceted impacts of the rehabilitation efforts through quantitative data analysis and qualitative interviews with stakeholders. Key outcomes include significant hazelnut yields and quality increases, improved soil health and water conservation, and enhanced economic opportunities for local farmers and businesses. Additionally, the study explores the ripple effects on the region's environmental sustainability, food security, and social fabric. By empowering smallholder farmers, promoting organic cultivation, and fostering community engagement, the project has catalyzed a broader transformation in the way the hazelnut industry operates in Ordu. The findings offer valuable insights for policymakers, agricultural development practitioners, and other stakeholders seeking to replicate or scale up similar initiatives to revitalize traditional crop systems and enhance rural livelihoods. The paper concludes with recommendations for sustaining the project's momentum and maximizing its long-term benefits for the Ordu region and beyond.

Nipah virus survey in Pteropus medius of eastern and northeastern region of India, 2022-2023.

India has experienced seven outbreaks of the Nipah virus (NiV) since 2001, primarily occurring in the southern and eastern regions of the country. The southern region has been the main site for these outbreaks. In contrast, the eastern region, which borders Bangladesh, has not reported any outbreaks since 2007. However, Bangladesh continues to experience nearly annual outbreaks, indicating a significant lack of surveillance in that area. To improve the country's preparedness and to gather support for enhancing public health surveillance in eastern and northeastern states near the area affected by the NiV, a cross-sectional survey was conducted to determine the prevalence of NiV in the bat species Pteropus medius in Bihar, West Bengal, Assam, and Meghalaya states in India, which are adjacent to Bangladesh. Throat and rectal swabs, blood samples, and organ samples were collected. Real-time quantitative reverse transcription PCR (qRT-PCR) was utilized for the detection of Nipah viral RNA, and sequencing was conducted for further confirmation. Bat IgG enzyme-linked immunosorbent assay (ELISA) was employed for antibody detection. Throat and rectal swab samples of 212 P. medius tested for NiV using qRT- PCR were found negative, whereas organ samples of two (one each from West Bengal and Bihar) out of the 10 bats collected tested positive. The retrieved NiV genome (~91%) showed close homology to the NiV-Bangladesh genotype indicating the circulation of two geographically distinct NiV strains in India. The seroprevalence estimated by ELISA ranged from 23 to 65% in the studied states. The serological and virological evidence obtained from the study indicates that a broader geographical area is under threat of spillover in India. It's crucial to implement a One Health approach connecting bat surveillance studies with human surveillance and risk factor studies in the region.