Geographical heterogeneity in the analysis of factors associated with leprosy in an endemic area of Brazil: are we eliminating the disease?

نویسندگان

  • Mônica Duarte-Cunha
  • Geraldo Marcelo da Cunha
  • Reinaldo Souza-Santos
چکیده

BACKGROUND The leprosy transmission chain is very complex and, in order to intervene in this transmission, more must be known about the factors linked to falling ill. There are doubts as to the influence of population size, population density and the disease's magnitude in detection rate trends. This paper aimed to identify factors associated with detection of leprosy in an endemic municipality of Rio de Janeiro State, Brazil. METHODS This ecological study in Duque de Caxias municipality, Rio de Janeiro State, Brazil, used neighbourhoods (bairros) as the unit of analysis. Selecting new cases of leprosy detected from 1998 to 2006, the analysis examined clinical, socioeconomic and service variables using a Poisson log-Normal model. RESULTS In the municipality overall, 2572 new cases were detected, a rate of 3.70 cases/10,000 inhabitants. The results describe a heterogeneous distribution of cases and rates in the municipality. The final model displayed a significant association with indeterminate clinical form (β = 2.599), proportion of homes with running water (β = -2.334) and presence of a decentralised health care unit (β = 0.524). CONCLUSION Although the results indicate progress towards elimination of the disease in the municipality, high rates continue to be detected in municipal sub-regions. The following question can thus be posed: over how wide a geographical area could the disease be thoroughly eliminated, given this heterogeneity within a small municipality?

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Spatial analysis of corona outbreak in rural area of Damavand city

Spatial analysis of COVID-19 Pandemic in Rural Area of Damavand   Abstract As information about disease and mortality grows, so do appropriate methods for analyzing this type of data that meet different needs. One of these methods is spatial analysis of the disease, which considers its geographical distribution along with other risk factors. The present study is an attempt to depict the spa...

متن کامل

Investigation of the incidence rate and geographical distribution of congenital hypothyroidism in the newborns in Ilam Province by using geographic information system (GIS) between 2006 and 2016

Background and Aim: Congenital hypothyroidism is an endocrine disorder and is one of the main causes of mental retardation in the newborns. Genetic, environmental and geographical factors are associated with the disease. This study aimed to evaluate the incidence rate and correlation of geographical factors with congenital hypothyroidism in Ilam Province. Materials and Methods: This study was a...

متن کامل

Evaluation of some epidemiological factors in patients with leishmaniasis referred to the Center for Research and Training in Skin Diseases and Leprosy

Leishmaniasis is a neglected disease caused by different Leishmania species and transmitted by various sand flies. Iran is endemic to both visceral and cutaneous form of the diseases. The aim of this study was to investigate the epidemiological factors of leishmaniasis in patients referred to the Center for Research and Training Skin Disease and Leprosy from 1399-1400. The present study is a cr...

متن کامل

Evaluation of coronavirus infection in patients with leishmaniasis

Background and Aim: Leishmaniasis is a parasitic disease transmitted by sandflies and is one of the endemic diseases of Iran. With the spread of the Covid-19 epidemic worldwide, the virus will interface with endemic infectious diseases in different regions. In this study, coronavirus disease was evaluated in patients with a history of leishmaniasis referred to the Center of Research and Trainin...

متن کامل

Factors Associated with Thyroid Dysfunction in Hypothyroidism-Endemic Region of Ravansar, 2017-2018: A Cross-Sectional Analysis

   Background & Objective: Hypothyroidism is a prevalent condition in various regions all over the world, including Iran. This study aimed to identify the factors associated with thyroid dysfunctions in Ravansar area, Kermanshah province. Due to hypo and hyperthyroidism diversity and pathogeneses complexity, machine learning was also integrated; it is as an accurate and potent method for the di...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 15  شماره 

صفحات  -

تاریخ انتشار 2015