Analysis of the Tuberculosis Occurrence Through the Use of Geoprocessing
Background: For the control of tuberculosis (TB), it must be adopted specific measures in areas of high transmission. Thus, it was aimed to identify the spatial pattern of new tuberculosis cases in Juazeiro do Norte-CE/ Brazil, from 2001 to 2012.
Methods and Findings: It is a hybrid design, ecological study and temporal trend. The new cases reported with TB were included as subjects of research. It was outlined the socio demographic profile; the spatial analysis of cases was made through the Kernel technique and the nearest neighbor method with simulation. Among 914 new TB cases, there was a predominance of males (56,0%), aged between 20 to 39 years (42,0%), with incomplete elementary school (43,2%), pulmonary clinical form (89,1%). 79,1% of patients achieved a cure and 5,3% abandoned the treatment. In the studied period, it was identified homogeneous spatial distribution and non-random pattern, with the highest concentration of cases in the southern region of the city.
Conclusion: The identification of spatial pattern becomes relevant, in order that it can contribute to the strengthening of the TB control by providing information that optimizes activities such as: active search, health education, notification of new cases and supervising the treatment performed by health professionals.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under aÂ Creative Commons Attribution LicenseÂ that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (SeeÂ The Effect of Open AccessÂ and Benefits of Publishing Open Access).