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Dejan Loncar

Researcher at World Health Organization

Publications -  5
Citations -  10092

Dejan Loncar is an academic researcher from World Health Organization. The author has contributed to research in topics: Medicine & Population. The author has an hindex of 1, co-authored 1 publications receiving 9148 citations.

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Projections of Global Mortality and Burden of Disease from 2002 to 2030

TL;DR: These projections represent a set of three visions of the future for population health, based on certain explicit assumptions, which enable us to appreciate better the implications for health and health policy of currently observed trends, and the likely impact of fairly certain future trends.
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Economic and technological aspects of the impact of PM2.5 particles on human health and productivity

TL;DR: In this paper , the authors analyzed the impact of increased concentration of PM2.5 particles in the air on economic and technological development, in order to explore whether there is an interdependent relationship between them.
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Methods for assessing the impact of PM2.5 concentration on mortality while controlling for socio-economic factors

TL;DR: In this article , the authors employed advanced econometric techniques to analyse the long-term impact of PM2.5 on human health, while controlling for socio economic indicators, and demonstrated significant effects of socio-economic, health risk and system and governance variables on the relation between PM 2.5 concentration and PM2-related mortality.
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Hospital and community care costs for people newly diagnosed of living with HIV in London, UK

TL;DR: This study of people newly diagnosed of living with HIV (ND-PLHIV) calculated the use, cost and outcome of HIV services at a London HIV centre and found white participants used fewer hospital and more community services compared with minority ethnic community (MEC) participants.
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Exploring relationships between HIV programme outcomes and the societal enabling environment: A structural equation modeling statistical analysis in 138 low- and middle-income countries

TL;DR: In this article , structural equation models were used to examine how the unfavorable societal enabling environment, including stigma and discrimination, unfavorable legal environment and lack of access to societal justice, gender inequality and other unfavorable development situations affect the effectiveness of HIV programmes and HIV outcomes, while controlling for potentially confounding variables.