- Nutritional Studies and Diet
- Global Health Care Issues
- COVID-19 epidemiological studies
- Child Nutrition and Water Access
- Global Public Health Policies and Epidemiology
- COVID-19 diagnosis using AI
- Health disparities and outcomes
- Climate Change and Health Impacts
- SARS-CoV-2 and COVID-19 Research
- Pneumonia and Respiratory Infections
- Respiratory viral infections research
- Agriculture Sustainability and Environmental Impact
- Data-Driven Disease Surveillance
- Ear Surgery and Otitis Media
- Pulmonary Hypertension Research and Treatments
- Health Promotion and Cardiovascular Prevention
- Heavy Metal Exposure and Toxicity
- COVID-19 and healthcare impacts
- Trace Elements in Health
- Fatty Acid Research and Health
- Cardiovascular Issues in Pregnancy
- Obesity, Physical Activity, Diet
- Nutrition, Health and Food Behavior
- Liver Disease and Transplantation
- Birth, Development, and Health
Karnataka State Women's University
2019-2022
Kagawa University Hospital
2022
Given Japan's rapidly ageing demographic structure, comprehensive and long-term evaluations of its national subnational health progress are important to inform public policy. This study aims assess population health, using the Global Burden Diseases, Injuries, Risk Factors Study (GBD) 2021 analyse country's evolving disease patterns. GBD used Japanese data from 1474 sources, covering 371 diseases, including COVID-19, 88 risk factors. The analysis included estimates life expectancy,...
We provided COVID-19 outbreak trends in South Africa during the Omicron (B.1.1.529), Delta (B.1.617.2), and Beta (B.1.351) variants periods from November 2020 to March 2022.We used time series summary data of for available repository created by Center System Science Engineering at Johns Hopkins University Our World Data database Oxford January 2022. joinpoint regression model with a data-driven Bayesian information criterion method analyzing trends. In addition, we density ellipses partition...
We aimed to analyze the temporal trends in per capita food (kcal/day/person) and protein (g/day/person) availability at national level Southeast Asian (SEA) countries from 1961 2018. To avoid intercountry variations errors, we used a dataset derived FAO's old new balance sheets. joinpoint model jump trends. The annual percentage change (APC) was computed for each segment of Per SEA increased significantly by 0.8% year (54.0%) 1.1% (85.1%), respectively, During 1960s, 1970s, 1980s mainland...
We analyzed the temporal trends and significant changes in apparent energy macronutrient intakes Bangladeshi diet from 1961 to 2017. Due lack of a long-running national dietary intake dataset, this study used Food Agriculture Organization (FAO)'s old new food balance sheet dataset. joinpoint regression model jump analyze intakes. The annual percentage change (APC) was computed for each segment trends. Bangladesh has experienced late revolution their history. During 1960s, 1970s, 1980s,...
We analyzed the temporal trends and significant changes in apparent food consumption or availabilityin Bangladesh from 1961 to 2013. Due lack of a long-term national dietary intake dataset, this study used data derived FAO’s balance sheets. joinpoint regression analysis identify trends. The annual percent change (APC) was computed for each segment Apparent starchy roots, eggs, fish, vegetables, milk, vegetable oils significantly has increased (p < 0.05) Bangladeshi diet since 1961;...
We analyzed the trends of coronavirus disease 2019 (COVID-19) outbreak in Tokyo and Osaka from January 25 to May 6, 2020. To analyze identify significant changes them, we performed a joinpoint regression analysis. From last week March, number COVID-19 cases soared (β = 103.51) 28.07). During 2nd 3rd weeks April, both 157.53) 60.96) experienced peak growth cases. Since almost 14 days after state emergency declaration, showed containment trend Osaka, but continued increase at concerning rate 90.66).
Due to the long life expectancy and lower incidence mortality from coronary artery disease, world is now focusing on Japanese diet boom. Hence, aim of this study was analyze temporal trends significant changes in energy macronutrient intakes 1946 2015. Energy data were obtained National Nutrition Survey Japan (J-NNS), an annual nationwide survey nutrition people. We used joinpoint regression analysis investigate trends. The percentage change (APC) computed for each period had extracted five...