Population of the North-Eastern States of India

Dikshit, K. R.; Dikshit, Jutta K.

doi:10.1007/978-94-007-7055-3_12

Cited by 10 publications

(6 citation statements)

References 1 publication

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“…The total population of the region is 45,161,611 (2011 census) and the distribution is not homogeneous. The most densely populated parts of NE region are the plains of Brahmaputra, Barak rivers in Assam, the Imphal plain in Manipur and the western part of Tripura [20]. Assam, located in the central part of NE is considered to be the gateway to NE India as it connects the NE to the Indian mainland by a 22 km strip, called the 'Chicken's Neck', near Siliguri district in West Bengal.…”

Section: Geography Of North-east (Ne) Statesmentioning

confidence: 99%

Malaria in North-East India: Importance and Implications in the Era of Elimination

Sarma¹,

Mohapatra

Bhattacharyya

et al. 2019

Microorganisms

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Worldwide and in India, malaria elimination efforts are being ramped up to eradicate the disease by 2030. Malaria elimination efforts in North-East (NE) India will have a great bearing on the overall efforts to eradicate malaria in the rest of India. The first cases of chloroquine and sulfadoxine-pyrimethamine resistance were reported in NE India, and the source of these drug resistant parasites are most likely from South East Asia (SEA). NE India is the only land route through which the parasites from SEA can enter the Indian mainland. India’s malaria drug policy had to be constantly updated due to the emergence of drug resistant parasites in NE India. Malaria is highly endemic in many parts of NE India, and Plasmodium falciparum is responsible for the majority of the cases. Highly efficient primary vectors and emerging secondary vectors complicate malaria elimination efforts in NE India. Many of the high transmission zones in NE India are tribal belts, and are difficult to access. The review details the malaria epidemiology in seven NE Indian states from 2008 to 2018. In addition, the origin and evolution of resistance to major anti-malarials are discussed. Furthermore, the bionomics of primary vectors and emergence of secondary malaria vectors, and possible strategies to prevent and control malaria in NE are outlined.

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Section: Geography Of North-east (Ne) Statesmentioning

confidence: 99%

Malaria in North-East India: Importance and Implications in the Era of Elimination

Sarma¹,

Mohapatra

Bhattacharyya

et al. 2019

Microorganisms

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“…Present land use changes and expansion of river infrastructure in the Brahmaputra river basin are already affecting both the sediment and hydrological conditions in the basin (Sarma 2005;Ray et al 2015). There is a large potential to expand both the downstream agricultural production and the upstream hydropower generation to increase the low living standards (Dikshit and Dikshit 2014), and such expansion would strongly influence hydrology.…”

Section: Introductionmentioning

confidence: 99%

Present to future sediment transport of the Brahmaputra River: reducing uncertainty in predictions and management

et al. 2016

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The Brahmaputra River in South Asia carries one of the world's highest sediment loads, and the sediment transport dynamics strongly affect the region's ecology and agriculture. However, present understanding of sediment conditions and dynamics is hindered by limited access to hydrological and geomorphological data, which impacts predictive models needed in management. We here synthesize reported peer-reviewed data relevant to sediment transport and perform a sensitivity analysis to identify sensitive and uncertain parameters, using the one-dimensional model HEC-RAS, considering both present and future climatic conditions. Results showed that there is considerable uncertainty in openly available estimates (260-720 Mt yr -1 ) of the annual sediment load for the Brahmaputra River at its downstream Bahadurabad gauging station (Bangladesh). This may aggravate scientific impact studies of planned power plant and reservoir construction in the region, as well as more general effects of ongoing land use change and climate change. We found that data scarcity on sediment grain size distribution, water discharge, and Manning's roughness coefficient had the strongest controls on the modelled sediment load. However, despite uncertainty in absolute loads, we showed that predicted relative changes, including a future increase in sediment load by about 40 % at Bahadurabad by 2075-2100, were consistent across multiple model simulations. Nevertheless, for the future scenarios we found that parameter uncertainty almost doubled for water discharge and river geometry, highlighting that improved information on these parameters could greatly advance the abilities to predict and manage current and future sediment dynamics in the Brahmaputra river basin.

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“…32 The region has over 45 million populations, which is 3.8% of India's population, with a density of 159 persons/km 2 . 33…”

Section: Study Locationmentioning

confidence: 99%

Identifying the latent classes of modifiable risk behaviours among diabetic and hypertensive individuals in Northeastern India: a population-based cross-sectional study

2022

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ObjectiveTo identify the latent classes of modifiable risk factors among the patients with diabetes and hypertension based on the observed indicator variables: smoking, alcohol, aerated drinks, overweight or obesity, diabetes and hypertension. We hypothesised that the study population diagnosed with diabetes or hypertension is homogeneous with respect to the modifiable risk factors.DesignA cross-sectional study using a stratified random sampling method and a nationally representative large-scale survey.Setting and participantsData come from the fourth round of the Indian National Family Health Survey, 2015–2016. Respondents aged 15–49 years who were diagnosed with either diabetes or hypertension or both were included. The total sample is 22 249, out of which 3284 were men and 18 965 were women.Primary and secondary outcome measuresThe observed variables used as latent indicators are the following: smoking, alcohol, aerated drinks, overweight or obesity, diabetes and hypertension. The concomitant variables include age, gender, education, marital status and household wealth index. Latent class model was used to simultaneously identify the latent class and to determine the association between the concomitant variables and the latent classes.ResultsThree latent classes were identified and labelled as class 1: ‘diabetic with low-risk lifestyle’ (21%), class 2: ‘high-risk lifestyle’ (8%) and class 3: ‘hypertensive with low-risk lifestyle’ (71%). Class 1 is characterised by those with a high probability of having diabetes and low probability of smoking and drinking alcohol. Class 2 is characterised by a high probability of smoking and drinking alcohol and class 3 by a high probability of having high blood pressure and low probability of smoking and drinking alcohol.ConclusionsCo-occurrence of smoking and alcohol consumption was prevalent in men, while excess body weight and high blood pressure were prevalent in women. Policy and programmes in Northeastern India should focus on targeting multiple modifiable risk behaviours that co-occur within an individual.

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Population of the North-Eastern States of India

Cited by 10 publications

References 1 publication

Malaria in North-East India: Importance and Implications in the Era of Elimination

Malaria in North-East India: Importance and Implications in the Era of Elimination

Present to future sediment transport of the Brahmaputra River: reducing uncertainty in predictions and management

Identifying the latent classes of modifiable risk behaviours among diabetic and hypertensive individuals in Northeastern India: a population-based cross-sectional study

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