Who is Dying with HIV/AIDS, and How has this Changed Over Time? Detailed Data Tables and Technical Notes

2010 ◽  
Keyword(s):  
2021 ◽  
pp. 3-24
Author(s):  
Sandro Galea

This chapter discusses how the time of the COVID-19 pandemic was also a time when the world, in many respects, had never been better—or healthier. In a number of key areas—from life expectancy, to declines in poverty, to reductions in preventable diseases like HIV/AIDS—it was, and is, a more favorable time to be alive than any other point in recorded history. All these advances was a byproduct of foundational forces unfolding over time, forces like industrialization, global development, urbanization, and political changes. However, the incidental nature of this success has meant that we have yet to fully acknowledge why it occurred, which hinders our ability to advance it in the future. Why do we need to know how we got here? First, our understanding of the causes of health shapes our investment in health. America's investment in healthcare comes at the expense of their investment in the foundational drivers of health. The second reason is that if we do not understand the true causes of health, we will be unable to build a world that is ready for the next pandemic.


Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2600 ◽  
Author(s):  
Anna-Maria Stavrakaki ◽  
Dimitrios I. Tselentis ◽  
Emmanouil Barmpounakis ◽  
Eleni I. Vlahogianni ◽  
George Yannis

The aim of this paper was to provide a methodological framework for estimating the amount of driving data that should be collected for each driver in order to acquire a clear picture regarding their driving behavior. We examined whether there is a specific discrete time point for each driver, in the form of total driving duration and/or the number of trips, beyond which the characteristics of driving behavior are stabilized over time. Various mathematical and statistical methods were employed to process the data collected and determine the time point at which behavior converges. Detailed data collected from smartphone sensors are used to test the proposed methodology. The driving metrics used in the analysis are the number of harsh acceleration and braking events, the duration of mobile usage while driving and the percentage of time driving over the speed limits. Convergence was tested in terms of both the magnitude and volatility of each metric for different trips and analysis is performed for several trip durations. Results indicated that there is no specific time point or number of trips after which driving behavior stabilizes for all drivers and/or all metrics examined. The driving behavior stabilization is mostly affected by the duration of the trips examined and the aggressiveness of the driver.


2007 ◽  
Vol 34 (2) ◽  
pp. 151-162 ◽  
Author(s):  
Girija Kaimal ◽  
Nancy Gerber
Keyword(s):  

PLoS ONE ◽  
2014 ◽  
Vol 9 (2) ◽  
pp. e84276 ◽  
Author(s):  
Ulisses Ramos Montarroyos ◽  
Demócrito Barros Miranda-Filho ◽  
Cibele Comini César ◽  
Wayner Vieira Souza ◽  
Heloisa Ramos Lacerda ◽  
...  

AIDS Care ◽  
2019 ◽  
Vol 31 (5) ◽  
pp. 563-571 ◽  
Author(s):  
Dana Rose Garfin ◽  
Sanghyuk S. Shin ◽  
Maria L. Ekstrand ◽  
Kartik Yadav ◽  
Catherine L. Carpenter ◽  
...  

2015 ◽  
Vol 144 (3) ◽  
pp. 548-555 ◽  
Author(s):  
F. ZAYERI ◽  
E. TALEBI GHANE ◽  
N. BORUMANDNIA

SUMMARYOver the last 30 years, HIV/AIDS has emerged as a major global health challenge. This study evaluates the change of HIV/AIDS mortality rates in Asian and North African countries from 1990 to 2010 using the Global Burden of Disease (GBD) study. HIV/AIDS mortality rates were derived from the GBD database from 1990 to 2010, for 52 countries in Asia and North Africa. First, a Latent Growth Model was employed to assess the change in AIDS mortality rate over time in six different regions of Asia, and also the change in AIDS mortality rate over time for males and females in Asia and North Africa. Finally, Latent Growth Mixture Models (LGMMs) were applied to identify distinct groups in which countries within each group have similar trends over time. Our results showed that increase in mortality rate over time for males is about three times greater than for females. The highest and lowest trend of AIDS mortality rates were observed in South-East Asia and high-income Asia-Pacific regions, respectively. The LGMM allocated most countries in the South and South-East region into two classes with the highest trend of AIDS mortality rates. Although the HIV/AIDS mortality rates are decreasing in some countries and clusters, the general trend in the Asian continent is upwards. Therefore, it is necessary to provide programmes to achieve the goal of access to HIV prevention measures, treatment, care, and support for high-risk groups, especially in countries with a higher trend of AIDS mortality rates.


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