Literature DB >> 27510249

Modelling the time to detection of urban tuberculosis in two big cities in Portugal: a spatial survival analysis.

C Nunes1, B M Taylor2.   

Abstract

SETTING: Portuguese National Tuberculosis Control Programme.
OBJECTIVE: To examine delays in tuberculosis (TB) diagnosis using a spatial component in two high-incidence cities, Lisbon and Oporto, in Portugal, a low-incidence country.
DESIGN: A retrospective nationwide study was conducted based on official TB data between 2010 and 2013 to analyse diagnostic delays at the lowest administrative level (freguesias) using spatial survival analyses, taking into account individual level covariates.
RESULTS: Median diagnostic delays in Lisbon (n = 2706 cases) and Oporto (n = 1883) were respectively 62 (range 1-359, mean 81.01) and 60 days (range 1-3544, mean 79.5). In both cities, case detection rates initially rose until 50 days, then stabilised, but rose again at about 200 days. Diagnostic delay was significantly shorter among males and human immunodeficiency virus positive individuals in both cities, but was significantly longer among migrants in Lisbon. There is evidence of spatial correlation between freguesias; different spatial patterns were observed in diagnostic delays and in likelihood of case detection.
CONCLUSION: These results are concordant with existing literature. The two study areas present considerable spatial variations in diagnostic delay, highlighting the fact that large cities should not be treated as homogeneous entities. The potential of spatial survival methods in spatial epidemiology is highlighted.

Entities:  

Mesh:

Year:  2016        PMID: 27510249     DOI: 10.5588/ijtld.15.0822

Source DB:  PubMed          Journal:  Int J Tuberc Lung Dis        ISSN: 1027-3719            Impact factor:   2.373


  6 in total

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Authors:  Diane Gu; Chawangwa Modongo; Sanghyuk S Shin; Nicola M Zetola
Journal:  Ann Transl Med       Date:  2017-12

2.  The circuits of healthcare: Understanding healthcare seeking behaviour-A qualitative study with tuberculosis patients in Lisbon, Portugal.

Authors:  Rafaela M Ribeiro; Philip J Havik; Isabel Craveiro
Journal:  PLoS One       Date:  2021-12-28       Impact factor: 3.240

3.  Tuberculosis and Migrant Pathways in an Urban Setting: A Mixed-Method Case Study on a Treatment Centre in the Lisbon Metropolitan Area, Portugal.

Authors:  Rafaela M Ribeiro; Luzia Gonçalves; Philip J Havik; Isabel Craveiro
Journal:  Int J Environ Res Public Health       Date:  2022-03-23       Impact factor: 3.390

4.  A complex scenario of tuberculosis transmission is revealed through genetic and epidemiological surveys in Porto.

Authors:  Teresa Rito; Carlos Matos; Carlos Carvalho; Henrique Machado; Gabriela Rodrigues; Olena Oliveira; Eduarda Ferreira; Jorge Gonçalves; Lurdes Maio; Clara Morais; Helena Ramos; João Tiago Guimarães; Catarina L Santos; Raquel Duarte; Margarida Correia-Neves
Journal:  BMC Infect Dis       Date:  2018-01-25       Impact factor: 3.090

5.  Methods used in the spatial analysis of tuberculosis epidemiology: a systematic review.

Authors:  Debebe Shaweno; Malancha Karmakar; Kefyalew Addis Alene; Romain Ragonnet; Archie Ca Clements; James M Trauer; Justin T Denholm; Emma S McBryde
Journal:  BMC Med       Date:  2018-10-18       Impact factor: 8.775

6.  An office building outbreak: the changing epidemiology of tuberculosis in Shenzhen, China.

Authors:  X J Guo; H E Takiff; J Wang; G Y Han; Y Z Fan; G H Wu; J P Ma; S Y Liu
Journal:  Epidemiol Infect       Date:  2020-02-24       Impact factor: 2.451

  6 in total

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