Using GIS technology to identify areas of tuberculosis transmission and incidence

Moonan, Patrick K.; Bayona, Manuel; Quitugua, Teresa; Oppong, Joseph R.; Dunbar, Denise; Jost, Kenneth C.; Burgess, Gerry; Singh, Karan P.; Weis, Stephen E.

doi:10.1186/1476-072x-3-23

Cited by 71 publications

(46 citation statements)

References 28 publications

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“…The worst affected districts were the Southern, West South West and Eastern districts. Studies describing geographic clustering of TB cases found that the most common risk factors for clustering were low socioeconomic status, homelessness, poor housing and low education attainment [30,31] Successful transmission of TB require the presence of infectious cases that interact with susceptible uninfected individuals for a longer period of time [32] Conditions that affect early TB diagnosis, early treatment and access to social services therefore promote ongoing transmission of TB. West South West and…”

Section: Plos Onementioning

confidence: 99%

Spatial distribution of Mycobacterium Tuberculosis in metropolitan Harare, Zimbabwe

et al. 2020

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Introduction The contribution of high tuberculosis (TB) transmission pockets in propagating area-wide transmission has not been adequately described in Zimbabwe. This study aimed to describe the presence of hotspot transmission of TB cases in Harare city from 2011 to 2012 using geospatial techniques. Methods Anonymised TB patient data stored in an electronic database at Harare City Health department was analysed using geospatial methods. Confirmed TB cases were mapped using geographic information system (GIS). Global Moran's I and Anselin Local Moran's I (LISA) were used to assess clustering and the local Getis-Ord G i * was used to estimate hotspot phenomenon of TB cases in Harare City for the period between 2011 and 2012. Results A total of 12,702 TB cases were accessed and mapped on the Harare City map. In both 2011 and 2012, ninety (90%) of cases were new and had a high human immunodeficiency virus (HIV)/TB co-infection rate of 72% across all suburbs. Tuberculosis prevalence was highest in the Southern district in both 2011 and 2012. There were pockets of spatial distribution of TB prevalence across West South West, Southern, Western, South Western and Eastern health districts. TB hot spot occurrence was restricted to the West South West, parts of South Western, Western health districts. West South West district had an increased peri-urban population with inadequate social services including health facilities. These

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Section: Plos Onementioning

confidence: 99%

Spatial distribution of Mycobacterium Tuberculosis in metropolitan Harare, Zimbabwe

et al. 2020

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“…Analysis of the tuberculosis genotype distribution of bacterial isolates provides a method to identify areas of high tuberculosis incidence as well as areas with ongoing transmission of specific bacterial strains. High rates of clustered genotypes in an area suggests that ongoing tuberculosis transmission among patients in that community is likely (Moonan et al 2004). Areas with increased unique isolates suggest that the infections were acquired elsewhere—that is, they are imported (Barnes and Cave 2003).…”

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confidence: 99%

Foreign-Born Status and Geographic Patterns of Tuberculosis Genotypes in Tarrant County, Texas

Oppong

Denton

Moonan

et al. 2007

The Professional Geographer

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Regardless of destination, immigrants arrive with health profiles typical of people in their previous surroundings. Thus, immigrants change the epidemiological profile of destination communities, and immigrant neighborhoods may represent islands of infectious disease. Genotyping has emerged as a useful surveillance tool to track the spread of disease at the molecular level. Yet the spatial distribution of infectious disease at the molecular level associated with migration and immigrant neighborhoods has received little attention. Using molecular genotyping to characterize M. tuberculosis isolated from tuberculosis cases, this article analyzes spatial variations of unique molecular M. tuberculosis strains by zip code in Tarrant County, Texas. The results suggest that immigrant neighborhoods have higher rates of unique isolates of tuberculosis (suggestive of remote transmission) compared to neighborhoods occupied by the native-born. Neighborhoods dominated by the native-born have higher rates of clustered isolates (suggestive of recent transmission). Therefore, in addition to being culturally distinct, immigrant neighborhoods may also be pathogenically distinct from surrounding neighborhoods.

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“…En definitiva, la ubicación pasada de la tuberculosis en una comunidad, hablando desde el punto de vista epidemiológico, puede ser la mejor variable predictiva de la ubicación de los futuros casos de tuberculosis. Moonan et al aplicaron un principio similar y combinaron el análisis de información georreferenciada con la vigilancia epidemiológica molecular para identificar las zonas geográficas con mayor transmisión de la misma cepa y mayores tasas de infección (12,13).…”

Section: Discussionunclassified

Eliminación de la tuberculosis, un vecindario por vez

Cegielski¹,

Griffith

McGaha³

et al. 2014

Am J Public Health

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Using GIS technology to identify areas of tuberculosis transmission and incidence

Cited by 71 publications

References 28 publications

Spatial distribution of Mycobacterium Tuberculosis in metropolitan Harare, Zimbabwe

Spatial distribution of Mycobacterium Tuberculosis in metropolitan Harare, Zimbabwe

Foreign-Born Status and Geographic Patterns of Tuberculosis Genotypes in Tarrant County, Texas

Eliminación de la tuberculosis, un vecindario por vez

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