دورية أكاديمية

Estimating underreporting of leprosy in Brazil using a Bayesian approach.

التفاصيل البيبلوغرافية
العنوان: Estimating underreporting of leprosy in Brazil using a Bayesian approach.
المؤلفون: Guilherme L de Oliveira, Juliane F Oliveira, Júlia M Pescarini, Roberto F S Andrade, Joilda S Nery, Maria Y Ichihara, Liam Smeeth, Elizabeth B Brickley, Maurício L Barreto, Gerson O Penna, Maria L F Penna, Mauro N Sanchez
المصدر: PLoS Neglected Tropical Diseases, Vol 15, Iss 8, p e0009700 (2021)
بيانات النشر: Public Library of Science (PLoS), 2021.
سنة النشر: 2021
المجموعة: LCC:Arctic medicine. Tropical medicine
LCC:Public aspects of medicine
مصطلحات موضوعية: Arctic medicine. Tropical medicine, RC955-962, Public aspects of medicine, RA1-1270
الوصف: BackgroundLeprosy remains concentrated among the poorest communities in low-and middle-income countries and it is one of the primary infectious causes of disability. Although there have been increasing advances in leprosy surveillance worldwide, leprosy underreporting is still common and can hinder decision-making regarding the distribution of financial and health resources and thereby limit the effectiveness of interventions. In this study, we estimated the proportion of unreported cases of leprosy in Brazilian microregions.Methodology/principal findingsUsing data collected between 2007 to 2015 from each of the 557 Brazilian microregions, we applied a Bayesian hierarchical model that used the presence of grade 2 leprosy-related physical disabilities as a direct indicator of delayed diagnosis and a proxy for the effectiveness of local leprosy surveillance program. We also analyzed some relevant factors that influence spatial variability in the observed mean incidence rate in the Brazilian microregions, highlighting the importance of socioeconomic factors and how they affect the levels of underreporting. We corrected leprosy incidence rates for each Brazilian microregion and estimated that, on average, 33,252 (9.6%) new leprosy cases went unreported in the country between 2007 to 2015, with this proportion varying from 8.4% to 14.1% across the Brazilian States.Conclusions/significanceThe magnitude and distribution of leprosy underreporting were adequately explained by a model using Grade 2 disability as a marker for the ability of the system to detect new missing cases. The percentage of missed cases was significant, and efforts are warranted to improve leprosy case detection. Our estimates in Brazilian microregions can be used to guide effective interventions, efficient resource allocation, and target actions to mitigate transmission.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1935-2727
1935-2735
Relation: https://doaj.org/toc/1935-2727; https://doaj.org/toc/1935-2735
DOI: 10.1371/journal.pntd.0009700
URL الوصول: https://doaj.org/article/6715060094bf4746963bfd7311ecd685
رقم الأكسشن: edsdoj.6715060094bf4746963bfd7311ecd685
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:19352727
19352735
DOI:10.1371/journal.pntd.0009700