Geographic area-based rate as a novel indicator to enhance research and precision intervention for more effective HIV/AIDS control

Ending the HIV epidemic needs additional methods to better assess the incidence and prevalence of HIV infection. In this study, a new indicator — G-rate was developed for the evaluation of HIV epidemics across regions with regard to geographic area size. Different from the commonly used incidence an...

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Main Authors: Xinguang Chen, Kai Wang
Format: Article
Language:English
Published: Elsevier 2017-03-01
Series:Preventive Medicine Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2211335517300086
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spelling doaj-407e6209bfd94a86afe1b46e992cbef82020-11-25T02:13:02ZengElsevierPreventive Medicine Reports2211-33552017-03-015C30130710.1016/j.pmedr.2017.01.009Geographic area-based rate as a novel indicator to enhance research and precision intervention for more effective HIV/AIDS controlXinguang ChenKai WangEnding the HIV epidemic needs additional methods to better assess the incidence and prevalence of HIV infection. In this study, a new indicator — G-rate was developed for the evaluation of HIV epidemics across regions with regard to geographic area size. Different from the commonly used incidence and prevalence rates that assess the HIV epidemic with reference to population (termed as P rate in this study), G rate measures the number of new infections (incidence) or cases (prevalence) over a unit land area in one year. We demonstrated the utility of G rates using officially reported data on new HIV infections and persons living with HIV in the United States during 2000–2012. Findings of our analysis indicate that relative to P rates, G rates indicated a quicker increase in the HIV epidemic in the United States during the study period. In 2012, 4.6 persons were newly infected and 101.4 persons lived with HIV per 1000 km2 land area. The five states with both highest P prevalence rates and highest G prevalence rates were Florida, Maryland, New York, New Jersey and Washington DC, which included New Jersey ranked 8th by P rate and excluded Massachusetts ranked 5th by G rate. In conclusion, adding G rates extends the conventional measurement system that consists of case count and P rate. Combining G rates with P rates provides a new approach for information extraction to support precision intervention strategy toward the goal of creating an AIDS-Free Generation.http://www.sciencedirect.com/science/article/pii/S2211335517300086AIDS-Free GenerationG rateHIV epidemicPrecision intervention
collection DOAJ
language English
format Article
sources DOAJ
author Xinguang Chen
Kai Wang
spellingShingle Xinguang Chen
Kai Wang
Geographic area-based rate as a novel indicator to enhance research and precision intervention for more effective HIV/AIDS control
Preventive Medicine Reports
AIDS-Free Generation
G rate
HIV epidemic
Precision intervention
author_facet Xinguang Chen
Kai Wang
author_sort Xinguang Chen
title Geographic area-based rate as a novel indicator to enhance research and precision intervention for more effective HIV/AIDS control
title_short Geographic area-based rate as a novel indicator to enhance research and precision intervention for more effective HIV/AIDS control
title_full Geographic area-based rate as a novel indicator to enhance research and precision intervention for more effective HIV/AIDS control
title_fullStr Geographic area-based rate as a novel indicator to enhance research and precision intervention for more effective HIV/AIDS control
title_full_unstemmed Geographic area-based rate as a novel indicator to enhance research and precision intervention for more effective HIV/AIDS control
title_sort geographic area-based rate as a novel indicator to enhance research and precision intervention for more effective hiv/aids control
publisher Elsevier
series Preventive Medicine Reports
issn 2211-3355
publishDate 2017-03-01
description Ending the HIV epidemic needs additional methods to better assess the incidence and prevalence of HIV infection. In this study, a new indicator — G-rate was developed for the evaluation of HIV epidemics across regions with regard to geographic area size. Different from the commonly used incidence and prevalence rates that assess the HIV epidemic with reference to population (termed as P rate in this study), G rate measures the number of new infections (incidence) or cases (prevalence) over a unit land area in one year. We demonstrated the utility of G rates using officially reported data on new HIV infections and persons living with HIV in the United States during 2000–2012. Findings of our analysis indicate that relative to P rates, G rates indicated a quicker increase in the HIV epidemic in the United States during the study period. In 2012, 4.6 persons were newly infected and 101.4 persons lived with HIV per 1000 km2 land area. The five states with both highest P prevalence rates and highest G prevalence rates were Florida, Maryland, New York, New Jersey and Washington DC, which included New Jersey ranked 8th by P rate and excluded Massachusetts ranked 5th by G rate. In conclusion, adding G rates extends the conventional measurement system that consists of case count and P rate. Combining G rates with P rates provides a new approach for information extraction to support precision intervention strategy toward the goal of creating an AIDS-Free Generation.
topic AIDS-Free Generation
G rate
HIV epidemic
Precision intervention
url http://www.sciencedirect.com/science/article/pii/S2211335517300086
work_keys_str_mv AT xinguangchen geographicareabasedrateasanovelindicatortoenhanceresearchandprecisioninterventionformoreeffectivehivaidscontrol
AT kaiwang geographicareabasedrateasanovelindicatortoenhanceresearchandprecisioninterventionformoreeffectivehivaidscontrol
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