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HIV and hepatitis C mortality in Massachusetts, 2002-2011: spatial cluster and trend analysis of HIV and HCV using multiple cause of death.

Meyers DJ, Hood ME, Stopka TJ - PLoS ONE (2014)

Bottom Line: The most significant clusters occurred in Springfield, Worcester, South Boston, the Merrimack Valley, and New Bedford with other smaller clusters detected across the state.Multiple cause of death mortality rates were much higher than underlying cause mortality alone, and significant disparities existed across race and age groups.We found that our multi-method analyses, which focused on contributing causes of death, were more robust than analyses that focused on underlying cause of death alone.

View Article: PubMed Central - PubMed

Affiliation: Department of Health Policy and Management, Harvard School of Public Health, Boston, Massachusetts, United States of America; Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, Massachusetts, United States of America.

ABSTRACT

Background: Infectious diseases, while associated with a much smaller proportion of deaths than they were 50 years ago, still play a significant role in mortality across the state of Massachusetts. Most analysis of infectious disease mortality in the state only take into account the underlying cause of death, rather than contributing causes of death, which may not capture the full extent of mortality trends for infectious diseases such as HIV and the Hepatitis C virus (HCV).

Methods: In this study we sought to evaluate current trends in infectious disease mortality across the state using a multiple cause of death methodology. We performed a mortality trend analysis, identified spatial clusters of disease using a 5-step geoprocessing approach and examined spatial-temporal clustering trends in infectious disease mortality in Massachusetts from 2002-2011, with a focus on HIV/AIDS and HCV.

Results: Significant clusters of high infectious disease mortality in space and time throughout the state were detected through both spatial and space time cluster analysis. The most significant clusters occurred in Springfield, Worcester, South Boston, the Merrimack Valley, and New Bedford with other smaller clusters detected across the state. Multiple cause of death mortality rates were much higher than underlying cause mortality alone, and significant disparities existed across race and age groups.

Conclusions: We found that our multi-method analyses, which focused on contributing causes of death, were more robust than analyses that focused on underlying cause of death alone. Our results may be used to inform public health resource allocation for infectious disease prevention and treatment programs, provide novel insight into the current state of infectious disease mortality throughout the state, and benefited from approaches that may more accurately document mortality trends.

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Related in: MedlinePlus

HIV/AIDS Mortality rates by census tract, 2002–2011.Crude Mortality Rates were calculated based on the 2010 census population estimates at the census tract level for all-causes of HIV/AIDS. Rates were classified by quintile. Shapefiles were provided by MassGIS, death data were provided by the Massachusetts Department of Public Health, and population estimates were provided by the US Census Bureau. NAD 1983 Massachusetts State Plain was used for projection. Maps created in ArcGIS 10.2.
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pone-0114822-g007: HIV/AIDS Mortality rates by census tract, 2002–2011.Crude Mortality Rates were calculated based on the 2010 census population estimates at the census tract level for all-causes of HIV/AIDS. Rates were classified by quintile. Shapefiles were provided by MassGIS, death data were provided by the Massachusetts Department of Public Health, and population estimates were provided by the US Census Bureau. NAD 1983 Massachusetts State Plain was used for projection. Maps created in ArcGIS 10.2.

Mentions: Thematic maps displaying the geographic distribution of HCV and HIV/AIDS mortality can be found in Figs. 6 and 7 respectively. These maps present a descriptive look at the distribution of mortality at the census tract level with darker colors exhibiting higher mortality rates per 10,000 population. Both maps portray what appear to be clustering patterns of mortality. While these descriptive maps bring attention to several regions, statistically based spatial analyses are needed to determine whether significant clustering is occurring.


HIV and hepatitis C mortality in Massachusetts, 2002-2011: spatial cluster and trend analysis of HIV and HCV using multiple cause of death.

Meyers DJ, Hood ME, Stopka TJ - PLoS ONE (2014)

HIV/AIDS Mortality rates by census tract, 2002–2011.Crude Mortality Rates were calculated based on the 2010 census population estimates at the census tract level for all-causes of HIV/AIDS. Rates were classified by quintile. Shapefiles were provided by MassGIS, death data were provided by the Massachusetts Department of Public Health, and population estimates were provided by the US Census Bureau. NAD 1983 Massachusetts State Plain was used for projection. Maps created in ArcGIS 10.2.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4263669&req=5

pone-0114822-g007: HIV/AIDS Mortality rates by census tract, 2002–2011.Crude Mortality Rates were calculated based on the 2010 census population estimates at the census tract level for all-causes of HIV/AIDS. Rates were classified by quintile. Shapefiles were provided by MassGIS, death data were provided by the Massachusetts Department of Public Health, and population estimates were provided by the US Census Bureau. NAD 1983 Massachusetts State Plain was used for projection. Maps created in ArcGIS 10.2.
Mentions: Thematic maps displaying the geographic distribution of HCV and HIV/AIDS mortality can be found in Figs. 6 and 7 respectively. These maps present a descriptive look at the distribution of mortality at the census tract level with darker colors exhibiting higher mortality rates per 10,000 population. Both maps portray what appear to be clustering patterns of mortality. While these descriptive maps bring attention to several regions, statistically based spatial analyses are needed to determine whether significant clustering is occurring.

Bottom Line: The most significant clusters occurred in Springfield, Worcester, South Boston, the Merrimack Valley, and New Bedford with other smaller clusters detected across the state.Multiple cause of death mortality rates were much higher than underlying cause mortality alone, and significant disparities existed across race and age groups.We found that our multi-method analyses, which focused on contributing causes of death, were more robust than analyses that focused on underlying cause of death alone.

View Article: PubMed Central - PubMed

Affiliation: Department of Health Policy and Management, Harvard School of Public Health, Boston, Massachusetts, United States of America; Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, Massachusetts, United States of America.

ABSTRACT

Background: Infectious diseases, while associated with a much smaller proportion of deaths than they were 50 years ago, still play a significant role in mortality across the state of Massachusetts. Most analysis of infectious disease mortality in the state only take into account the underlying cause of death, rather than contributing causes of death, which may not capture the full extent of mortality trends for infectious diseases such as HIV and the Hepatitis C virus (HCV).

Methods: In this study we sought to evaluate current trends in infectious disease mortality across the state using a multiple cause of death methodology. We performed a mortality trend analysis, identified spatial clusters of disease using a 5-step geoprocessing approach and examined spatial-temporal clustering trends in infectious disease mortality in Massachusetts from 2002-2011, with a focus on HIV/AIDS and HCV.

Results: Significant clusters of high infectious disease mortality in space and time throughout the state were detected through both spatial and space time cluster analysis. The most significant clusters occurred in Springfield, Worcester, South Boston, the Merrimack Valley, and New Bedford with other smaller clusters detected across the state. Multiple cause of death mortality rates were much higher than underlying cause mortality alone, and significant disparities existed across race and age groups.

Conclusions: We found that our multi-method analyses, which focused on contributing causes of death, were more robust than analyses that focused on underlying cause of death alone. Our results may be used to inform public health resource allocation for infectious disease prevention and treatment programs, provide novel insight into the current state of infectious disease mortality throughout the state, and benefited from approaches that may more accurately document mortality trends.

Show MeSH
Related in: MedlinePlus