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Krishna Kumar Aryal

Researcher at Kathmandu

Publications -  54
Citations -  7860

Krishna Kumar Aryal is an academic researcher from Kathmandu. The author has contributed to research in topics: Population & Cross-sectional study. The author has an hindex of 18, co-authored 53 publications receiving 2155 citations. Previous affiliations of Krishna Kumar Aryal include Panjab University, Chandigarh & Curtin University.

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Journal ArticleDOI

Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Theo Vos, +2419 more
- 17 Oct 2020 - 
TL;DR: Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates, and there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries.
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The state of hypertension care in 44 low-income and middle-income countries: a cross-sectional study of nationally representative individual-level data from 1·1 million adults

TL;DR: Given the high disease burden caused by hypertension in LMICs, nationally representative hypertension care cascades, as constructed in this study, are an important measure of progress towards achieving universal health coverage.
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The Burden and Determinants of Non Communicable Diseases Risk Factors in Nepal: Findings from a Nationwide STEPS Survey.

TL;DR: The prevalence of low fruit and vegetable consumption, overweight and obesity, raised blood pressure and raised total cholesterol is markedly high among the Nepalese population, with variation by demographic and ecological factors and urbanization.
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Knowledge, Attitude and Practice Regarding Dengue Fever among the Healthy Population of Highland and Lowland Communities in Central Nepal

TL;DR: Despite the rapid expansion of DENV in Nepal, the knowledge of people about DF was very low and massive awareness programmes are urgently required to protect the health of people from DF and to limit its further spread.
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Health system performance for people with diabetes in 28 low- and middle-income countries: A cross-sectional study of nationally representative surveys.

TL;DR: Health system performance for management of diabetes showed large losses to care at the stage of being tested, and low rates of diabetes control along the care cascade, indicating large unmet need for diabetes care across 28 LMICs.