dc.contributor.author |
Molemans, M
|
|
dc.contributor.author |
Van Leth, F
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|
dc.contributor.author |
McKelly, David H
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|
dc.contributor.author |
Wood, R
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dc.contributor.author |
Hermans, S
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dc.date.accessioned |
2023-05-12T11:09:04Z |
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dc.date.available |
2023-05-12T11:09:04Z |
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dc.date.issued |
2022-11 |
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dc.identifier.citation |
Molemans, M., Van Leth, F., McKelly, D.H., Wood, R. & Hermans, S. 2022. Neighbourhood risk factors of recurrent tuberculosis in Cape Town: A cohort study using geocoded notification data. <i>Journal of Epidemiology and Community Health, 77.</i> http://hdl.handle.net/10204/12771 |
en_ZA |
dc.identifier.issn |
0143-005X |
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dc.identifier.issn |
1470-2738 |
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dc.identifier.uri |
doi: 10.1136/jech-2022-219622
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|
dc.identifier.uri |
http://hdl.handle.net/10204/12771
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|
dc.description.abstract |
Background: Individuals with a history of tuberculosis (TB) disease are at higher risk of developing a subsequent episode than those without. Considering the role of social and environmental factors in tuberculosis, we assessed neighbourhood-level risk factors associated with recurrent tuberculosis in Cape Town, South Africa. Methods: This cohort consisted of patients who completed treatment for their first drug-sensitive TB episode between 2003 and 2015. Addresses were geocoded at neighbourhood level. Data on neighbourhood-level factors were obtained from the Census 2011 (household size, population density) and the City of Cape Town (Socio-Economic Index). Neighbourhood-level TB burden was calculated annually by dividing the number of notified TB episodes by the population in that neighbourhood. Multilevel survival analysis was performed with the outcome recurrent TB, defined as a second episode of TB, and controlling for individual-level risk factors (age, gender and time since first episode in years). Follow-up ended at the second episode, or on 31 December 2015, whichever came first. Results: The study included 173 421 patients from 700 neighbourhoods. Higher Socio-Economic Index was associated with a lower risk of recurrence compared with average Socio-Economic Index. An increased risk was found for higher household size and TB burden, with an increase of 20% for every additional person in mean household size and 10% for every additional TB episode/100 inhabitants. No association was found with population density. Conclusion: Recurrent TB was associated with increased household size and TB burden at neighbourhood level. These findings could be used to target TB screening activities. |
en_US |
dc.format |
Fulltext |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
https://pubmed.ncbi.nlm.nih.gov/36379714/ |
en_US |
dc.relation.uri |
https://jech.bmj.com/content/77/1/56 |
en_US |
dc.source |
Journal of Epidemiology and Community Health, 77 |
en_US |
dc.subject |
Geographic Information Systems |
en_US |
dc.subject |
GIS |
en_US |
dc.subject |
Health inequalities |
en_US |
dc.subject |
Social class |
en_US |
dc.subject |
Tuberculosis |
en_US |
dc.subject |
TB |
en_US |
dc.title |
Neighbourhood risk factors of recurrent tuberculosis in Cape Town: A cohort study using geocoded notification data |
en_US |
dc.type |
Article |
en_US |
dc.description.pages |
56-62 |
en_US |
dc.description.note |
© Author(s) (or their employer(s)) 2022. No commercial re-use. |
en_US |
dc.description.cluster |
Smart Places |
en_US |
dc.description.impactarea |
Urban and Regional Dynamics |
en_US |
dc.identifier.apacitation |
Molemans, M., Van Leth, F., McKelly, D. H., Wood, R., & Hermans, S. (2022). Neighbourhood risk factors of recurrent tuberculosis in Cape Town: A cohort study using geocoded notification data. <i>Journal of Epidemiology and Community Health, 77</i>, http://hdl.handle.net/10204/12771 |
en_ZA |
dc.identifier.chicagocitation |
Molemans, M, F Van Leth, David H McKelly, R Wood, and S Hermans "Neighbourhood risk factors of recurrent tuberculosis in Cape Town: A cohort study using geocoded notification data." <i>Journal of Epidemiology and Community Health, 77</i> (2022) http://hdl.handle.net/10204/12771 |
en_ZA |
dc.identifier.vancouvercitation |
Molemans M, Van Leth F, McKelly DH, Wood R, Hermans S. Neighbourhood risk factors of recurrent tuberculosis in Cape Town: A cohort study using geocoded notification data. Journal of Epidemiology and Community Health, 77. 2022; http://hdl.handle.net/10204/12771. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Molemans, M
AU - Van Leth, F
AU - McKelly, David H
AU - Wood, R
AU - Hermans, S
AB - Background: Individuals with a history of tuberculosis (TB) disease are at higher risk of developing a subsequent episode than those without. Considering the role of social and environmental factors in tuberculosis, we assessed neighbourhood-level risk factors associated with recurrent tuberculosis in Cape Town, South Africa. Methods: This cohort consisted of patients who completed treatment for their first drug-sensitive TB episode between 2003 and 2015. Addresses were geocoded at neighbourhood level. Data on neighbourhood-level factors were obtained from the Census 2011 (household size, population density) and the City of Cape Town (Socio-Economic Index). Neighbourhood-level TB burden was calculated annually by dividing the number of notified TB episodes by the population in that neighbourhood. Multilevel survival analysis was performed with the outcome recurrent TB, defined as a second episode of TB, and controlling for individual-level risk factors (age, gender and time since first episode in years). Follow-up ended at the second episode, or on 31 December 2015, whichever came first. Results: The study included 173 421 patients from 700 neighbourhoods. Higher Socio-Economic Index was associated with a lower risk of recurrence compared with average Socio-Economic Index. An increased risk was found for higher household size and TB burden, with an increase of 20% for every additional person in mean household size and 10% for every additional TB episode/100 inhabitants. No association was found with population density. Conclusion: Recurrent TB was associated with increased household size and TB burden at neighbourhood level. These findings could be used to target TB screening activities.
DA - 2022-11
DB - ResearchSpace
DP - CSIR
J1 - Journal of Epidemiology and Community Health, 77
KW - Geographic Information Systems
KW - GIS
KW - Health inequalities
KW - Social class
KW - Tuberculosis
KW - TB
LK - https://researchspace.csir.co.za
PY - 2022
SM - 0143-005X
SM - 1470-2738
T1 - Neighbourhood risk factors of recurrent tuberculosis in Cape Town: A cohort study using geocoded notification data
TI - Neighbourhood risk factors of recurrent tuberculosis in Cape Town: A cohort study using geocoded notification data
UR - http://hdl.handle.net/10204/12771
ER -
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en_ZA |
dc.identifier.worklist |
26581 |
en_US |