Longitudinal clustering of tuberculosis incidence and predictors for the time profiles: the impact of HIV

被引:10
作者
Sousa, R. [1 ]
Oliveira, A. [2 ,3 ]
Gomes, M. [4 ,5 ]
Gaio, A. R. [6 ]
Duarte, R. [4 ,5 ,7 ,8 ]
机构
[1] Univ Porto, Fac Med, Oporto, Portugal
[2] Univ Porto, Ctr Math, Oporto, Portugal
[3] Polytech Inst Porto, Sch Allied Hlth Sci, Vila Nova De Gaia, Portugal
[4] Univ Porto, Inst Publ Hlth, Epidemiol Res Unit, Oporto, Portugal
[5] Ctr Hosp Vila Nova de Gaia Espinho EPE, Vila Nova De Gaia, Portugal
[6] Univ Porto, Dept Math, Fac Sci, Oporto, Portugal
[7] Chest Dis Ctr, Vila Nova De Gaia, Portugal
[8] Univ Porto, Sch Med, Dept Clin Epidemiol Predict Med & Publ Hlth, Oporto, Portugal
关键词
human immunodeficiency virus; AIDS; public health; tuberculosis; unemployment; RISK-FACTORS; PULMONARY TUBERCULOSIS; PORTUGAL;
D O I
10.5588/ijtld.15.0522
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
BACKGROUND: Portugal remains the country with the highest tuberculosis (TB) incidence in Western Europe. OBJECTIVES: To identify longitudinal trends in TB incidence in Portugal from 2002 to 2012 and investigate the longitudinal effect of sociodemographic and health related predictors among the resident population on the TB incidence rate. METHODS: We used data from the National Tuberculosis Surveillance System and other national institutions. K means longitudinal clustering algorithm was performed on TB incidence time profiles from districts of Portugal. RESULTS: Three longitudinal profiles for the TB incidence rate of Portugal were identified. In all of SUMMARY them, TB incidence decreased over time. Among all studied sociodemographic and health-related predictors, human immunodeficiency virus (HIV) notification rate and unemployment were shown to have (positive) significant effects on TB incidence. In particular, the greatest effects were found for the HIV notification rate. CONCLUSIONS: Our study supports the view that combined TB-HIV strategies and the improvement of social determinants can contribute to decreases in TB incidence.
引用
收藏
页码:1027 / 1032
页数:6
相关论文
共 23 条
[1]  
[Anonymous], TUB SURV MON EUR 201
[2]   Mycobacterium tuberculosis, how long did you walk? [J].
Areias, V. ;
Neves, I. ;
Carvalho, A. ;
Duarte, R. .
REVISTA PORTUGUESA DE PNEUMOLOGIA, 2013, 19 (03) :139-140
[3]   Risk factors for pulmonary tuberculosis in Russia: case-control study [J].
Coker, R ;
McKee, M ;
Atun, R ;
Dimitrova, B ;
Dodonova, E ;
Kuznetsov, S ;
Drobniewski, F .
BRITISH MEDICAL JOURNAL, 2006, 332 (7533) :85-87
[4]   The growing burden of tuberculosis - Global trends and interactions with the HIV epidemic [J].
Corbett, EL ;
Watt, CJ ;
Walker, N ;
Maher, D ;
Williams, BG ;
Raviglione, MC ;
Dye, C .
ARCHIVES OF INTERNAL MEDICINE, 2003, 163 (09) :1009-1021
[5]   Pulmonary tuberculosis and risk factors in Portugal: a spatial analysis [J].
Couceiro, L. ;
Santana, P. ;
Nunes, C. .
INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE, 2011, 15 (11) :1445-1454
[6]  
de Vries G, 2014, EUROSURVEILLANCE, V19, P22
[7]   Quantitative impact of human immunodeficiency virus infection on tuberculosis dynamics [J].
DeRiemer, Kathryn ;
Kawamura, L. Masae ;
Hopewell, Philip C. ;
Daley, Charles L. .
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2007, 176 (09) :936-944
[8]  
Direccao Geral da Saade. Programa Nacional de Luta Contra a Tuberculose, 2013, PONT SIT EP DES DAD
[9]   Involving community partners in the management of tuberculosis among drug users [J].
Duarte, R. ;
Santos, A. ;
Mota, M. ;
Carvalho, A. ;
Marques, A. ;
Barros, H. .
PUBLIC HEALTH, 2011, 125 (01) :60-62
[10]   KmL: k-means for longitudinal data [J].
Genolini, Christophe ;
Falissard, Bruno .
COMPUTATIONAL STATISTICS, 2010, 25 (02) :317-328