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In 1995, Jo C. Phelan and Bruce G. Link developed the theory of fundamental causes.This theory seeks to outline why the association between socioeconomic status (SES) and health disparities has persisted over time, [1] particularly when diseases and conditions previously thought to cause morbidity and mortality among low SES individuals have resolved. [2]
Across the 38 OECD countries, region, or equivalent large subnational entities, is the predominant geographic level for both mortality and morbidity indicators. Health indicator availability at smaller geographies was sparse, and varied considerably by geographic definition, health indicator, age range of population and years available.
Medical and public health improvements have reduced mortality, while the birth rate remains high. Cultural traditions combined with political and economic instability and food insecurity mean that mortality for women and children fluctuates more than for men. Mauritius might be considered another example of this model.
Epidemiological studies are aimed, where possible, at revealing unbiased relationships between exposures such as alcohol or smoking, biological agents, stress, or chemicals to mortality or morbidity. The identification of causal relationships between these exposures and outcomes is an important aspect of epidemiology.
Morbidity measures include incidence rate, prevalence, and cumulative incidence, with incidence rate referring to the risk of developing a new health condition within a specified period of time. Although sometimes loosely expressed simply as the number of new cases during a time period, morbidity is better expressed as a proportion or a rate.
Morbidity and mortality may refer to: Morbidity and Mortality (journal) , now known as Morbidity and Mortality Weekly Report , a weekly publication by the Centers for Disease Control and Prevention Morbidity and mortality conference , a periodic conference in many medical centers usually held to review cases with poor or avoidable outcomes
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The connection between lack of WASH and burden of disease is primarily one of poverty and poor access in developing countries: "the WASH-attributable mortality rates were 42, 30, 4.4 and 3.7 deaths per 100 000 population in low-income, lower-middle income, upper-middle income and high-income countries, respectively."