Hospital admission for type 2 diabetes mellitus under the Universal Coverage Scheme in Thailand: A time- and geographical-trend analysis, 2009-2016.

Background: Descriptive analyses of 2009-2016 were performed using the data of the Universal Coverage Scheme (UCS) which covers nearly 70 percent of the Thai population. The analyses described the time and geographical trends of nationwide admission rates of type 2 diabetes mellitus (T2DM) and its complications, including chronic kidney disease (CKD), myocardial infarction, cerebrovascular diseases, retinopathy, cataract, and diabetic foot amputation.

Methods And Findings: The database of T2DM patients aged 15-100 years who were admitted between 2009 and 2016 under the UCS and that of the UCS population were retrieved for the analyses.

Developing and validating regression models for predicting household consumption to introduce an equitable and sustainable health insurance system in Cambodia.

Background: Financial protection is a challenge for low- and middle-income countries, where the fiscal space is limited, and majority of the population is engaged in the informal economy. This study developed and validated household consumption predictive models for Cambodia to collect contributions according to one's ability to pay.

Methods: This study used nationally representative survey data collected annually between 2010 and 2017, involving 38,472 households.

Toward efficient riparian restoration: integrating economic, physical, and biological models.

This paper integrates economic, biological, and physical models to explore the efficient combination and spatial allocation of conservation efforts to protect water quality and increase salmonid populations in the Grande Ronde basin, Oregon. We focus on the effects of shade on water temperatures and the subsequent impacts on endangered juvenile salmonid populations. The integrated modeling system consists of a physical model that links riparian conditions and hydrological characteristics to water temperature; a biological model that links water temperature and riparian conditions to salmonid abundance, and an economic model that incorporates both physical and biological models to estimate minimum cost allocations of conservation efforts.