Show simple item record

dc.contributor.authorNaning, Herlianna
dc.contributor.authorAl-Darraji, Haider Abdulrazzaq Abed
dc.contributor.authorMcdonald, Scott Alex
dc.contributor.authorIsmail, Noor Azina
dc.contributor.authorKamarulzaman, Adeeba
dc.date.accessioned2018-03-13T12:03:12Z
dc.date.available2018-03-13T12:03:12Z
dc.date.issued2018-02-01
dc.identifier.citationModelling the Impact of Different Tuberculosis Control Interventions on the Prevalence of Tuberculosis in an Overcrowded Prison. 2018:1010539518757229 Asia Pac J Public Healthen
dc.identifier.issn1941-2479
dc.identifier.pmid29502429
dc.identifier.doi10.1177/1010539518757229
dc.identifier.urihttp://hdl.handle.net/10029/621604
dc.description.abstractThe aim of this study was to simulate the effects of tuberculosis (TB) treatment strategies interventions in an overcrowded and poorly ventilated prison with both high (5 months) and low (3 years) turnover of inmates against improved environmental conditions. We used a deterministic transmission model to simulate the effects of treatment of latent TB infection and active TB, or the combination of both treatment strategies. Without any intervention, the TB prevalence is estimated to increase to 8.8% for a prison with low turnover of inmates but modestly stabilize at 5.8% for high-turnover prisons in a 10-year period. Reducing overcrowding from 6 to 4 inmates per housing cell and increasing the ventilation rate from 2 to 12 air changes per hour combined with any treatment strategy would further reduce the TB prevalence to as low as 0.98% for a prison with low inmate turnover.
dc.language.isoenen
dc.rightsinfo:eu-repo/semantics/closedAccessen
dc.titleModelling the Impact of Different Tuberculosis Control Interventions on the Prevalence of Tuberculosis in an Overcrowded Prison.en
dc.typeArticleen
dc.identifier.journalAsia-Pac J Public Health 2018; 1:1010539518757229en
html.description.abstractThe aim of this study was to simulate the effects of tuberculosis (TB) treatment strategies interventions in an overcrowded and poorly ventilated prison with both high (5 months) and low (3 years) turnover of inmates against improved environmental conditions. We used a deterministic transmission model to simulate the effects of treatment of latent TB infection and active TB, or the combination of both treatment strategies. Without any intervention, the TB prevalence is estimated to increase to 8.8% for a prison with low turnover of inmates but modestly stabilize at 5.8% for high-turnover prisons in a 10-year period. Reducing overcrowding from 6 to 4 inmates per housing cell and increasing the ventilation rate from 2 to 12 air changes per hour combined with any treatment strategy would further reduce the TB prevalence to as low as 0.98% for a prison with low inmate turnover.


This item appears in the following Collection(s)

Show simple item record