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

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Modelling the time to detection of urban tuberculosis in two big cities in Portugal: a spatial survival analysis. / Nunes, Carla; Taylor, Benjamin Matthew.
In: International Journal of Tuberculosis and Lung Disease, Vol. 20, No. 9, 01.09.2016, p. 1219-1225.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Nunes, C & Taylor, BM 2016, 'Modelling the time to detection of urban tuberculosis in two big cities in Portugal: a spatial survival analysis', International Journal of Tuberculosis and Lung Disease, vol. 20, no. 9, pp. 1219-1225. https://doi.org/10.5588/ijtld.14.0822

APA

Nunes, C., & Taylor, B. M. (2016). Modelling the time to detection of urban tuberculosis in two big cities in Portugal: a spatial survival analysis. International Journal of Tuberculosis and Lung Disease, 20(9), 1219-1225. https://doi.org/10.5588/ijtld.14.0822

Vancouver

Nunes C, Taylor BM. Modelling the time to detection of urban tuberculosis in two big cities in Portugal: a spatial survival analysis. International Journal of Tuberculosis and Lung Disease. 2016 Sept 1;20(9):1219-1225. doi: 10.5588/ijtld.14.0822

Author

Nunes, Carla ; Taylor, Benjamin Matthew. / Modelling the time to detection of urban tuberculosis in two big cities in Portugal : a spatial survival analysis. In: International Journal of Tuberculosis and Lung Disease. 2016 ; Vol. 20, No. 9. pp. 1219-1225.

Bibtex

@article{9f1feef3a4f745589cbbea3ff9fb8ab6,
title = "Modelling the time to detection of urban tuberculosis in two big cities in Portugal: a spatial survival analysis",
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.",
keywords = "delay, detection, epidemiology, spatial survival, tuberculosis",
author = "Carla Nunes and Taylor, {Benjamin Matthew}",
year = "2016",
month = sep,
day = "1",
doi = "10.5588/ijtld.14.0822",
language = "English",
volume = "20",
pages = "1219--1225",
journal = "International Journal of Tuberculosis and Lung Disease",
issn = "1027-3719",
publisher = "International Union against Tubercul. and Lung Dis.",
number = "9",

}

RIS

TY - JOUR

T1 - Modelling the time to detection of urban tuberculosis in two big cities in Portugal

T2 - a spatial survival analysis

AU - Nunes, Carla

AU - Taylor, Benjamin Matthew

PY - 2016/9/1

Y1 - 2016/9/1

N2 - 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.

AB - 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.

KW - delay

KW - detection

KW - epidemiology

KW - spatial survival

KW - tuberculosis

U2 - 10.5588/ijtld.14.0822

DO - 10.5588/ijtld.14.0822

M3 - Journal article

VL - 20

SP - 1219

EP - 1225

JO - International Journal of Tuberculosis and Lung Disease

JF - International Journal of Tuberculosis and Lung Disease

SN - 1027-3719

IS - 9

ER -