2020
DOI: 10.1093/infdis/jiz691
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Trachoma Prevalence After Discontinuation of Mass Azithromycin Distribution

Abstract: Background As the World Health Organization seeks to eliminate trachoma by 2020, countries are beginning to control the transmission of trachomatous inflammation–follicular (TF) and discontinue mass drug administration (MDA) with oral azithromycin. We evaluated the effect of MDA discontinuation on TF1–9 prevalence at the district level. Methods We extracted from the available data districts with an impact survey at the end of… Show more

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Cited by 13 publications
(16 citation statements)
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“…The rare apparent resurgence reported from a few subcritical districts may be attributable to a combination of misclassification and measurement error. 14 , 28 , 29 …”
Section: Discussionmentioning
confidence: 99%
“…The rare apparent resurgence reported from a few subcritical districts may be attributable to a combination of misclassification and measurement error. 14 , 28 , 29 …”
Section: Discussionmentioning
confidence: 99%
“…The rare apparent resurgence reported from a few subcritical districts may be attributable to a combination of misclassification and measurement error. 8,22,23…”
Section: Discussionmentioning
confidence: 99%
“…The model for C. trachomatis transmission is based on a previously described framework. 15 , 16 The original population-based, deterministic model based on ordinary differential equations has subsequently been adapted to be stochastic 14 and then further developed here to a fully stochastic individual-based model. The model incorporates current knowledge of the natural history and transmission of trachoma, including direct person-to-person transmission with infectivity proportional to an individual's bacterial load, children acting as a core group for transmission, individuals being susceptible to repeated infections and the persistence of TF after clearance of ocular C. trachomatis infection.…”
Section: Methodsmentioning
confidence: 99%
“… 4 , 18 , 20 These aspects are represented within the model framework, with bacterial load, duration of ID and D for each individual assumed to decrease with each subsequent infection following negative exponentials. 14 , 16 Age, current infection/disease status and total number of infections for each individual are explicitly incorporated; the model runs in 1-wk time steps.…”
Section: Methodsmentioning
confidence: 99%
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