Abstract

This study aimed to analyze the incidence of tuberculosis (TB), AIDS and tuberculosis-AIDS co-infection in the municipality of Campinas, in the state of São Paulo, Brazil, in the period 2001 - 2009. A historical trend study, it uses secondary data from the Tuberculosis Surveillance Database of the University of Campinas (UNICAMP) and the São Paulo State STD-AIDS Center of Excellence and Training. It included new cases of TB, AIDS, and of tuberculosis-AIDS reported in the municipality of Campinas. A decrease in cases of TB until 2007 was observed, with an increase in 2008 and 2009. There was a general reduction in AIDS from 2007, but with an increase among men aged 60 or over, in the years 2007 to 2009. For tuberculosis-AIDS co-infection, the tendency was to reduce. The proportion of HIV tests not undertaken, among patients with tuberculosis, was high (27.5%). This scenario shows the need for integration of the databanks into the planning and control activities.

Highlights

  • In 2010 the incidence coefficient (IC) for tuberculosis (TB), worldwide, was 128 per 100,000 persons[1]

  • In the period 2001 – 2009, notification was received of 2876 patients with TB, 2619 with AIDS and 512 with the co-infection

  • The change in the frequency of the diseases can be studied through the historical series and the number of years depends on the availability of data

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Summary

Introduction

In 2010 the incidence coefficient (IC) for tuberculosis (TB), worldwide, was 128 per 100,000 persons[1]. Despite advances in the detection of new cases, in the introduction of powerful medication, and in the prevention of millions of deaths, the incidence of TB did not decline as expected[4]. Biological, social and environmental determinants have long been recognized as risk factors for infection and falling ill with TB[5]. HIV is one of these factors, responsible for high morbidity and mortality. It has the heaviest impact on TB incidence, modifying its clinical presentation, the duration of treatment it requires, its resistance to medication, and its epidemiological tendency. Too, is clearly associated with TB[6,7], underlying the other risk factors; this relationship, is often mitigated in multivariate models which include more proximate determinants[5]

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