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Mostrando 281 - 300 Resultados de 319 Para Buscar '"Jharkhand"', tiempo de consulta: 0.37s Limitar resultados
  1. 281
    “…The field examples, collected from diversified different geological terrains, including Digha (West Bengal), India; Sundar Pahari (Jharkhand), India; Puga Valley (Ladakh), India; New Brunswick, Canada; and South Central Australia, have shown the practical application of the proposed algorithm. …”
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    Nature-inspired stochastic hybrid technique for joint and individual inversion of DC and MT data
  2. 282
    “…Under this initiative, technical assistance was provided to selected facilities in the states of Uttar Pradesh, Jharkhand and Maharashtra which were interested in obtaining ‘entry level certification’ under the National Accreditation Board for Hospitals and Healthcare Providers (NABH) for provision of quality services. …”
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    Implementing a quality improvement initiative for private healthcare facilities to achieve accreditation: experience from India
  3. 283
    “…METHODS: Phase I of the ICMR-INDIAB study was conducted in a representative population of three States [Tamil Nadu (TN), Maharashtra (MH) and Jharkhand (JH)] and one Union Territory (UT)[Chandigarh (CH)] of India. …”
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    Prevalence of generalized & abdominal obesity in urban & rural India- the ICMR - INDIAB Study (Phase-I) [ICMR - INDIAB-3]
  4. 284
    “…The second patient was from Jharkhand state in eastern India (adjoining Bihar), another endemic state for VL. …”
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    Laboratory confirmed miltefosine resistant cases of visceral leishmaniasis from India
  5. 285
    por Pradeep, Banandur S., Gururaj, Gopalkrishna, Varghese, Mathew, Benegal, Vivek, Rao, Girish N., Sukumar, Gautham M., Amudhan, Senthil, Arvind, Banavaram, Girimaji, Satish, K., Thennarasu, P., Marimuthu, Vijayasagar, Kommu John, Bhaskarapillai, Binukumar, Thirthalli, Jagadisha, Loganathan, Santosh, Kumar, Naveen, Sudhir, Paulomi, Sathyanarayana, Veena A., Pathak, Kangkan, Singh, Lokesh Kumar, Mehta, Ritambhara Y., Ram, Daya, T. M., Shibukumar, Kokane, Arun, R. K., Lenin Singh, B. S., Chavan, Sharma, Pradeep, C., Ramasubramanian, P. K., Dalal, Saha, Pradeep Kumar, Deuri, Sonia Pereira, Giri, Anjan Kumar, Kavishvar, Abhay Bhaskar, Sinha, Vinod K., Thavody, Jayakrishnan, Chatterji, Rajni, Akoijam, Brogen Singh, Das, Subhash, Kashyap, Amita, R. V., Sathish, M., Selvi, S. K., Singh, Agarwal, Vivek, Misra, Raghunath
    Publicado 2018
    “…The NMHS phase 1 covered a representative population of 39,532 from 12 states across 6 regions of India, namely, the states of Punjab and Uttar Pradesh (North); Tamil Nadu and Kerala (South); Jharkhand and West Bengal (East); Rajasthan and Gujarat (West); Madhya Pradesh and Chhattisgarh (Central) and Assam and Manipur (North East). …”
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    National Mental Health Survey of India, 2016 - Rationale, design and methods
  6. 286
    “…Cross-sectional data were collected from 1644 mother-infant pairs living in disadvantaged rural villages across five Indian states—Jharkhand, Madhya Pradesh, West Bengal, Odisha, and Chhattisgarh—surveyed in the Women Improving Nutrition through Group-based Strategies study. …”
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    Multidimensional predictors of common mental disorders among Indian mothers of 6- to 24-month-old children living in disadvantaged rural villages with women’s self-help groups: A cross-sectional analysis
  7. 287
    por Saha, Jay, Chouhan, Pradip
    Publicado 2020
    “…Findings of this study are, the states and UTs which have more likely to very higher to higher risk factors or zones of Coronavirus disease (COVID-19) are Mizoram (1.4), Meghalaya (1.27), Uttarakhand (0.92), West Bengal (0.73), Uttar Pradesh (0.66), Jammu and Kashmir (0.44), Odisha (0.33), Madhya Pradesh (0.21), Jharkhand (0.20), Bihar (0.19), Maharashtra (0.16 risk score), compared to UTs like Assam (-0.12), Rajasthan (-0.13), Goa (-0.14), Manipur (-0.17), Chandigarh (-0.19), Haryana (-0.22), Delhi (-0.27) have moderate risk factors of COVID-19, and the states and UTs like Daman and Diu (-1.18), Sikkim (-0.98), Andaman and Nicobar Islands (-0.84), Kerala (-0.69), Dadra and Nagar Haveli (-0.68), Arunachal Pradesh ( 0.-53), Karnataka (-0.42), and Nagaland (-0.36) have very low-risk zones of COVID-19 deaths. …”
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    Indoor air pollution (IAP) and pre-existing morbidities among under-5 children in India: are risk factors of coronavirus disease (COVID-19)?()
  8. 288
    “…Methodology A hospital-based cross-sectional study was conducted in the postnatal ward of Rajendra Institute of Medical Sciences (RIMS), Ranchi, Jharkhand for a period of three months (March-May 2017). …”
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    Predictors of Breastfeeding Initiation Among Postnatal Mothers at Tertiary Care Center of a Tribal Dominant State in India: A Regression Analysis
  9. 289
    “…Bihar, a state in eastern India adjacent to Jharkhand and West Bengal, has relatively high neonatal mortality rates because a large portion of infants are born to young mothers. …”
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    Tradition, taste and taboo: the gastroecology of maternal perinatal diet
  10. 290
    “…Malaria mortality in some of the highest-risk regions, namely the states of Odisha and Jharkhand, are declining faster than other areas; however, the rate of decline was not uniformly correlated with the level of risk. …”
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    Spatio-temporal modelling of malaria mortality in India from 2004 to 2013 from the Million Death Study
  11. 291
    “…Our estimation indicates that the state of Maharastra could be losing a potential revenue of INR: 10,18,500 per day, west Bengal 7,28,250/-Tamil Nadu INR 4,59,000/-, Uttar Pradesh 240,000/-, Jharkhand 218,250/-, Punjab 174,750, Kerala 126,000/- Madhya Pradesh 154,500/-,Gujarat 111,750/- and many other states with a potential loss below one lakh per day. …”
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    Abstract- Poster: Poster for IPS Vizag January 2022: Estimated revenue loss associated with prolonged hospitalisation to the health and family welfare departments across Indian states.
  12. 292
    por Bankar, Shweta, Ghosh, Deepika
    Publicado 2022
    “…Respondents from the study areas of rural Jharkhand, Madhya Pradesh and Uttar Pradesh extensively reported concerns stemming from the lockdown that influenced their decision to access ANC services. …”
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    Accessing Antenatal Care (ANC) services during the COVID-19 first wave: insights into decision-making in rural India
  13. 293
    “…SETTING, INTERVENTION AND PARTICIPANTS: 38 clusters (19 intervention, 19 control) in West Singhbhum district in Jharkhand, India. The intervention included participatory adolescent groups and youth leadership for boys and girls aged 10–19 (intervention clusters only), and family-based livelihood promotion (intervention and control clusters) between June 2017 and March 2020. …”
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    Effects of community youth teams facilitating participatory adolescent groups, youth leadership activities and livelihood promotion to improve school attendance, dietary diversity and mental health among adolescent girls in rural eastern India (JIAH trial): A cluster-randomised controlled trial
  14. 294
    por Mor, Nachiket, Shukla, Sudheer Kumar
    Publicado 2023
    “…Of particular concern are the states of Bihar, Jharkhand, Madhya Pradesh, and Uttar Pradesh, all of which have GHE/GSDP greater than 1%, but because their absolute levels of GHE are well below [Image: see text] 2000, in order to reach UHC, they may need to more than triple their annual health budgets. …”
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    Estimating funds required for UHC within Indian States
  15. 295
    “…The missing girls' data reveals that Uttar Pradesh has consistently been the worst state for girls (along with their neighbors) as it possess the risk of girls going missing all through the study period with Chhattisgarh being included from 2019 onwards. Jharkhand, Gujarat, Sikkim, and Andaman and Nicobar Islands have consistently been cold spots across the board and have emerged as areas with low risk for missing girls. …”
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    Geospatial Hotspot Analysis and Endemicity Trends of Missing and Unrecovered Children in India
  16. 296
    “…RESULTS: The results show that childhood undernutrition was higher in states like Uttar Pradesh, Bihar, Jharkhand, Gujarat, and Maharashtra. The results of the logistic regression analysis show that infants born with low birth weight were more likely to be stunted (OR = 1.46; 95% CI: 1.41–1.50), wasted (OR = 1.33; 95% CI: 1.27–1.37), and underweight (OR = 1.76; 95% CI: 1.70–1.82) in their childhood compared to infants born without low birth weight. …”
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    Contribution of low birth weight to childhood undernutrition in India: evidence from the national family health survey 2019–2021
  17. 297
    “…Qualitative information was collected from the Purbi Singhbhum and Ranchi districts of Jharkhand and Gandhinagar, and from the Surat districts of Gujarat State. …”
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    Capacity Building, Knowledge Enhancement, and Consultative Processes for Development of a Digital Tool (Ni-kshay SETU) to Support the Management of Patients with Tuberculosis: Exploratory Qualitative Study
  18. 298
    “…Currently the Public Health Resource Network has been launched in four states of India – Chhattisgarh, Jharkhand, Bihar and Orissa – in its first phase, and reaches out to more than 500 participants with diverse backgrounds. …”
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    Empowering health personnel for decentralized health planning in India: The Public Health Resource Network
  19. 299
    “…METHODS: The study is a cluster randomised controlled trial in two rural districts of Jharkhand and Odisha (eastern India). The intervention tested involves a community-based worker carrying out two activities: (a) one home visit to all pregnant women in the third trimester, followed by subsequent monthly home visits to all infants aged 0–24 months to support appropriate feeding, infection control, and care-giving; (b) a monthly women’s group meeting using participatory learning and action to catalyse individual and community action for maternal and child health and nutrition. …”
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    Participatory women’s groups and counselling through home visits to improve child growth in rural eastern India: protocol for a cluster randomised controlled trial
  20. 300
    “…Mean CVD risk varied from 13.2% (95% CI: 12.7%–13.6%) in Jharkhand to 19.5% (95% CI: 19.1%–19.9%) in Kerala. …”
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    Geographic and sociodemographic variation of cardiovascular disease risk in India: A cross-sectional study of 797,540 adults
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