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Research article
Monica Rosales
LA County Department of Public Health
Corresponding Author
ORCiD: https://orcid.org/0000-0003-0553-1540
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This work is licensed under a CC BY 4.0 License. Read Full License
Background Tuberculosis remains a public health problem that disproportionately affects vulnerable populations. The objective of the study was to apply Geographic Information Systems (GIS) methods to identify statistically significant hot spots of tuberculosis (TB) and diabetes mellitus (DM) and identify areas and populations that are disproportionately burdened by TB and DM.
Methods Verified cases of TB reported in Los Angeles County (LAC), California between 01/01/2015 and 06/30/2017 were identified from the LAC TB Control Program Surveillance Registry. The addresses for patients residing in LAC at the time of TB diagnosis were geocoded and mapped. Hot spot analyses were performed utilizing the Getis-Ord Gi* statistic to identify statistically significant hot spots of TB and DM.
Results Among 389 TB cases with DM, 43% were Hispanic and 50% were Asian. Geographic variations for Hispanic and Asian TB cases were found (p<0.05). Hot spots of TB and DM were identified among Asians residing in the southwestern and southern regions of LAC and among Hispanics residing in south central and northwestern LAC.
Conclusions GIS methods are important epidemiological tools for identifying and assessing geographic variations in disease morbidity. These findings highlight opportunities for public health interventions aimed at reducing health disparities in underserved communities.
Keywords
public health, hot spots, racial/ethnic groups, Geographic Information Systems, health disparities
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A new preprint design is coming!
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research article
Monica Rosales
LA County Department of Public Health
Corresponding Author
ORCiD: https://orcid.org/0000-0003-0553-1540
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 28 Aug, 2019
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background Tuberculosis remains a public health problem that disproportionately affects vulnerable populations. The objective of the study was to apply Geographic Information Systems (GIS) methods to identify statistically significant hot spots of tuberculosis (TB) and diabetes mellitus (DM) and identify areas and populations that are disproportionately burdened by TB and DM.
Methods Verified cases of TB reported in Los Angeles County (LAC), California between 01/01/2015 and 06/30/2017 were identified from the LAC TB Control Program Surveillance Registry. The addresses for patients residing in LAC at the time of TB diagnosis were geocoded and mapped. Hot spot analyses were performed utilizing the Getis-Ord Gi* statistic to identify statistically significant hot spots of TB and DM.
Results Among 389 TB cases with DM, 43% were Hispanic and 50% were Asian. Geographic variations for Hispanic and Asian TB cases were found (p<0.05). Hot spots of TB and DM were identified among Asians residing in the southwestern and southern regions of LAC and among Hispanics residing in south central and northwestern LAC.
Conclusions GIS methods are important epidemiological tools for identifying and assessing geographic variations in disease morbidity. These findings highlight opportunities for public health interventions aimed at reducing health disparities in underserved communities.
Figure 1
Figure 2
Figure 3
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