mHealth

COVID-19 Pandemic Second Wave

Delayed Primary and Specialty Care: The COVID-19 Pandemic Second Wave

ABSTRACT Time is of the essence to continue the pandemic disaster(COVID-19 Pandemic Second Wave) cycle with a comprehensive post-COVID-19 health care delivery system RECOVERY analysis, plan, and operation at the […]

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health behaviour in school-aged children

Growing up unequal: gender and socioeconomic differences in young people’s health and well-being

ABSTRACT Health Behaviour in School-aged Children (HBSC), a WHO collaborative cross-national study, has provided information about the health, well-being, social environment, and of 11-, 13- and 15-year-old boys and girls

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Socioeconomic status is not associated with health-related quality of life in a group of overweight middle-aged men

Socioeconomic status is not associated with health-related quality of life in a group of overweight middle-aged men

ABSTRACT Socioeconomic status is a known determinant of health. In secondary data analyses, we assessed whether socioeconomic status affected health-related quality of life in a group of overweight (body mass

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The causal effect of income on health: An original microsimulation approach

The causal effect of income on health: An original microsimulation approach

Introduction: An original microsimulation approach The relationship between health and individual income is a topic at the center of health economics, with the broad finding that higher socioeconomic status(original microsimulation

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Socioeconomic status & health seeking behavior of rural people: a cross sectional study in fatikchhari, Chittagong

Socioeconomic status & health seeking behavior of rural people: a cross sectional study in fatikchhari, Chittagon

Abstract: a cross-sectional study in fatikchhari, Chittagong The objective of the study was to assess the socioeconomic status & health-seeking behavior of the selected rural community people. A cross-sectional study

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Impact Of “eHealth” in Allergic Diseases and Allergic Patients

Impact Of “eHealth” in Allergic Diseases and Allergic Patients

Abstract The emergence of new technology enables allergists and patients to compile data and receive feedback regarding key symptoms, risk behavior, and/or management. The term “eHealth” refers to a diverse

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