



@article {2831,
	title = {Sociodemographic determinants of prevalence and incidence of helicobacter pylori infection in portuguese adults},
	journal = {Helicobacter},
	volume = {18},
	year = {2013},
	note = {Export Date: 12 December 2013Source: Scopus},
	month = {2013///},
	pages = {413 - 422},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84886298522\&partnerID=40\&md5=460550c9c4474e105c93815a934c98ee},
	author = {Bastos, J. and Peleteiro, B. and Barros, R. and Alves, L. and Severo, M. and de F{\'a}tima Pina, M. and Pinto, H. and Carvalho, S. and Marinho, A. and Guimar{\~a}es, J.T. and Azevedo, A. and La Vecchia, C. and Barros, H. and Lunet, N.}
}
@article {2330,
	title = {Hip fractures cluster in space: An epidemiological analysis in Portugal},
	journal = {Osteoporosis InternationalOsteoporosis Int.},
	volume = {19},
	year = {2008},
	note = {Cited By (since 1996): 7Export Date: 21 November 2012Source: ScopusCODEN: OSINEdoi: 10.1007/s00198-008-0623-1PubMed ID: 18536955Language of Original Document: EnglishCorrespondence Address: De Pina, M. F.; Laborat{\'o}rio de Biomateriais, INEB - Instituto de Engenharia Biom{\'e}dica, Rua do Campo Alegre, 823, Porto 4150-180, Portugal; email: fpina@ineb.up.ptReferences: Center, J., Eisman, J., The epidemiology and pathogenesis of osteoporosis (1997) Baillieres Clin Endocrinol Metab, 11, pp. 23-62. , 1;Cooper, C., Melton III, L.J., Marcus, R., Feldman, D., Kelsey, J., Magnitude and Impact of osteoporosis and fractures (1996) Osteoporosis, pp. 419-434. , Academic Press San Diego; 
Walker-Bone, K., Dennison, E., Cooper, C., Epidemiology of osteoporosis (2001) Rheum Dis Clin North Am, 27, pp. 1-18. , 1; 
Cummings, S.R., Melton III, L.J., Epidemiology and outcomes of osteoporotic fractures (2002) Lancet, 359, pp. 1761-1767; 
Cooper, C., Campion, G., Melton, L.J., Hip fractures in the elderly: A world-wide projection (1992) Osteoporos Int, 2, pp. 285-289; 
Karagas, M.R., Lu-Yao, G.L., Barrett, J.A., Heterogeneity of hip fracture: Age, race, sex, and geographic patterns of femoral neck and trochanteric fractures among the US elderly (1996) Am J Epidemiol, 143, pp. 677-682. , 7; 
Jordan, K.M., Cooper, C., Epidemiology of osteoporosis (2002) Best Pract Res Clin Rheumatol, 16, pp. 795-806. , 5; 
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(1995) Interactive Spatial Data Analysis, , Bailey TC, Gatrell AC (eds) Longman, London; 
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Sanders, K., Nicholson, G.C., Ugoni, A.M., Fracture rates lower in rural than urban communities: The Geelong Osteoporosis Study (2002) J Epidemiol Community Health, 56, pp. 466-470; 
Vaz, A.L., Epidemiology and costs of osteoporotic hip fractures in Portugal (1993) Bone, 14, p. 9. , Suppl 1; 
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Hernandez, J., Olmos, J.M., Alonso, M.A., Trend in hip fracture epidemiology over a 14-year period in a Spanish population (2006) Osteoporos Int, 17, pp. 464-470; 
Giversen, I.M., Time trends of age-adjusted incidence rates of first hip fractures: A register-based study among older people in Viborg County, Denmark, 1987-1997 (2006) Osteoporos Int, 17, pp. 552-564; 
Coster, A., Haberkamp, M., Allolio, B., Incidence of femoral neck fractures in the German Federal Republic in comparison to other countries (1994) Soz Praventivmed, 39, pp. 287-292. , 5; 
Paspati, I., Galanos, A., Lyritis, G.P., Hip fracture epidemiology in Greece during 1977-1992 (1998) Calcif Tissue Int, 62, pp. 542-547. , 6; 
Kannus, P., Niemi, S., Parkkari, J., Hip fractures in Finland between 1970 and 1997 and predictions for the future (1999) Lancet, 353, pp. 802-805. , 9155
},
	month = {2008///},
	pages = {1797 - 1804},
	abstract = {Summary: Using Portuguese hospital registers (2000-2002) we calculated age-standardized incidence rates of hip fractures. Spatial clusters of high incidence rates were found, with annual averages (per 100,000 inhabitants) varying from 154.4 to 572.2 and 77.3 to 231.5 for women and men, respectively. Geographic inequalities in the occurrence of hip fractures were also found. Introduction: The aim of this study was to identify spatial patterns in the incidence of hip fracture in Portugal during the period 2000 to 2002. Methods: From the National Hospital Discharge Register, admissions of patients (50 years of age or more) with low-energy hip fracture were selected. Age-standardized incidence rates in relation to the municipality of the patients{\textquoteright} place of residence were calculated. Empirical Bayes estimators were used to smooth the local risk and spatial statistics methods were used to identify spatial clusters. Results: Of 25,634 hip fractures in individuals aged 50 years or more caused by low or moderate impact, 19,759 occurred in women (age, mean{\textpm}SD, 80.6{\textpm}8.6 years) and 5,875 in men (age 77.7{\textpm}10.0 years). Incidence rates increased exponentially with age, being higher in women nation-wide (female to male ratio from 1.5 to 5.1). Significant geographic differences were found: the incidence rates (95\% CI) varied from 154.4 (153.6-155.3) to 572.2 (569.5-575.0) in women and 77.3 (76.64-78.05) to 231.5 (229.9-233.0) in men per 100,000 inhabitants. Spatial autocorrelation values (Moran index) were 0.56 and 0.45 for women and men, respectively. Conclusion: Spatial clusters (p<0.0001) of high incidences were identified. Geographic differences in incidence rates were about threefold. Some regions had incidence rates as high as some north European countries. The geographic inequalities could be due to environmental or socioeconomic factors, but further investigation needs to be done to confirm this hypothesis. {\textcopyright} 2008 International Osteoporosis Foundation and National Osteoporosis Foundation.},
	keywords = {adult, Age Distribution, aged, Aged, 80 and over, article, Bayes Theorem, Bone Density, Cluster Analysis, Databases, Factual, falling, Female, fracture, geographic information system, Geographic information systems, hip fracture, Hip fractures, human, Humans, incidence, international classification of diseases, major clinical study, male, Middle Aged, Osteoporosis, Portugal, priority journal, Risk Factors, sex difference, Sex Distribution, Space-Time Clustering, Spatial analysis, Spatial clusters, Spatial dependency},
	isbn = {0937941X (ISSN)},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-55049139569\&partnerID=40\&md5=b45540fcad776b6887f165463b053202},
	author = {De Pina, M.F. and Alves, S.M. and Barbosa, M. and Barros, H.}
}
@article {2334,
	title = {Molecular epidemiology of pseudomonas aeruginosa clinical isolates from Portuguese Central Hospital},
	journal = {Folia MicrobiologicaFolia Microbiol.},
	volume = {53},
	year = {2008},
	note = {Cited By (since 1996): 3Export Date: 21 November 2012Source: ScopusCODEN: FOMIAdoi: 10.1007/s12223-008-0086-yLanguage of Original Document: EnglishCorrespondence Address: Fonseca, A. P.Rua Roberto Frias s/n, 4200-465 Porto, Portugal; email: apfonseca08@sapo.ptChemicals/CAS: DNA, BacterialReferences: Bergmans, D., Bonten, M., van tiel, F., Gaillard, C., London, N., van der Geest, S., de Leeuw, P., Stobbrringh, E., Value of phenotyping methods as an initial screening of Pseudomonas aeruginosa in epidemiologic studies (1997) Infection, 25, pp. 350-354;Bertrand, X., Thouverez, M., Talon, D., Boillot, A., Capellier, G., Floriot, C., Helias, J.P., Endemicity, molecular diversity and colonization routes of Pseudomonas aeruginosa in intensive care units (2001) Intens.Care Med., 27, pp. 1263-1268; 
Br{\'\i}zio, A., Silva, A., Canas, E., Ferreira, T., Lito, L.M., Cristino, J.M., Salgado, M.J., Duarte, A., Spread of ln58 containing bla VIM-2 among Pseudomonas aeruginosa (2006) Clin.Microbiol.Infect.Dis., 12 (SUPPL. 4), p. 931; 
Br{\'\i}zio, A., Vasco, S., Gon{\c c}alves, A.R., Lito, L.M., Cristino, J.M., Salgado, M.J., Duarte, A., Survey of extended-spectrum β-lactamases in Escherichia coli isolates from a Portuguese hospital and characterisation of a novel class 1 integron (In60A) carrying the blaCTX-M-9 gene (2006) Internat.J.Antimicrob.Agents, 28, pp. 320-324; 
Buchholz, P., Richter, M., Fiedler, G., Halle, E., Epidemiological fingerprinting of multiresistant strains of Pseudomonas aeruginosa isolated from patients of intensive care units of the Charit{\'e} Hospital, Berlin (1995) Med.Microbiol.Lett., 4, pp. 7-13; 
{\v C}ernohorsk{\'a}, L., Votava, M., Antibiotic synergy against biofilm-forming Pseudomonas aeruginosa (2008) Folia Microbiol, 53, pp. 57-61; 
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Fonseca, A.P., Correia, P., Fonseca, A.F., Tenreiro, R., Sousa, J.C., Polyphasic approach to the characterization of Pseudomonas aeruginosa isolates from a Portuguese Central Hospital (2004) Clin.Microbiol.Infect., 10 (SUPPL. 3), p. 1113; 
Fonseca, A.P., Correia, P., Sousa, J.C., Tenreiro, R., Association patterns of Pseudomonas aeruginosa clinical isolates as revealed by virulence traits, antibiotic resistance, serotype and genotype (2007) FEMS Immunol.Med.Microbiol., 51, pp. 505-516; 
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Wiehlmann, L., Wagner, G., Cramer, N., Siebert, B., Gudowius, P., Morales, G., K{\"o}hler, T., T{\"u}mmler, B., Population structure of Pseudomonas aeruginosa (2007) Proc.Nat.Acad.Sci.USA, 104, pp. 8101-8106
},
	month = {2008///},
	pages = {540 - 546},
	abstract = {The relatedness between clinical isolates of P. aeruginosa obtained from patients during their stay in a Portuguese Central Hospital was evaluated. Genotypic fingerprinting (M13-PCR), phenotypic methods (biotyping and antibiotyping) and epidemiological information (spatial and temporal links) were used to evaluate the relatedness between 88 clinical isolates (68 patients), selected randomly out of 189. Sixty-two M13 types were found, 12 of them containing isolates from more than one patient. Thirty-four antibiotypes were found, as well as a significant association (p < 0.05) between epidemic isolates and multiresistance patterns. The nosocomial transmission of P. aeruginosa strains may be limited since M13 typing demonstrated a high degree of diversity among all the isolates, suggesting the occurrence of mainly independent infectious episodes. The results show the possible occurrence of cross-acquisition, cross-colonization and cross-infection and suggest an epidemic population structure for P. aeruginosa in this hospital.},
	keywords = {antibiotic resistance, article, bacterial DNA, cross infection, disease transmission, DNA, Bacterial, Drug Resistance, Microbial, Electrophoresis, Gel, Pulsed-Field, epidemiology, genetics, genotype, Hospitals, Teaching, human, Humans, isolation and purification, microbiology, polymerase chain reaction, Portugal, Pseudomonas aeruginosa, Pseudomonas infection, Pseudomonas Infections, pulsed field gel electrophoresis, Sampling Studies, statistics, teaching hospital},
	isbn = {00155632 (ISSN)},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-65549157108\&partnerID=40\&md5=ba6aed0b4b5f511f340fea96df7b6449},
	author = {Fonseca, A.P. and Correia, P. and Extremina, C.I. and Sousa, J.C. and Tenreiro, R. and Barros, H.}
}
