| Author | Gomes, Maria Gabriela Miranda | |
| Author | Barreto, Maurício Lima | |
| Author | Glaziou, Philippe | |
| Author | Medley, Graham F | |
| Author | Rodrigues, Laura C | |
| Author | Wallinga, Jacco | |
| Author | Squire, S Bertel | |
| Access date | 2016-12-07T17:51:45Z | |
| Available date | 2016-12-07T17:51:45Z | |
| Document date | 2016 | |
| Citation | GOMES, M. G. M. et al. End TB strategy: the need to reduce risk inequalities. BMC Infectious Diseases, v. 16, p. 132, 2016. | pt_BR |
| ISSN | 1471-2334 | pt_BR |
| URI | https://www.arca.fiocruz.br/handle/icict/16472 | |
| Sponsorship | FCT (IF/01346/2014) and CAPES (Science without Borders). | pt_BR |
| Language | eng | pt_BR |
| Publisher | BioMed Central | pt_BR |
| Rights | open access | pt_BR |
| Subject in Portuguese | Tuberculose | pt_BR |
| Subject in Portuguese | Heterogeneidade | pt_BR |
| Subject in Portuguese | Coorte de seleção | pt_BR |
| Subject in Portuguese | Desigualdade social | pt_BR |
| Subject in Portuguese | Intervenção | pt_BR |
| Title | End TB strategy: the need to reduce risk inequalities | pt_BR |
| Type | Article | pt_BR |
| DOI | 10.1186/s12879-016-1464-8 | |
| Abstract | Diseases occur in populations whose individuals differ in essential characteristics, such as exposure to the causative agent, susceptibility given exposure, and infectiousness upon infection in the case of infectious diseases. Discussion: Concepts developed in demography more than 30 years ago assert that variability between individuals
affects substantially the estimation of overall population risk from disease incidence data. Methods that ignore
individual heterogeneity tend to underestimate overall risk and lead to overoptimistic expectations for control.
Concerned that this phenomenon is frequently overlooked in epidemiology, here we feature its significance for
interpreting global data on human tuberculosis and predicting the impact of control measures.
Summary: We show that population-wide interventions have the greatest impact in populations where all individuals
face an equal risk. Lowering variability in risk has great potential to increase the impact of interventions. Reducing
inequality, therefore, empowers health interventions, which in turn improves health, further reducing inequality, in a
virtuous circle. | pt_BR |
| Affilliation | Liverpool School of Tropical Medicine, Liverpool, UK / Universidade do Porto. CIBIO-InBIO. Centro de Investigação em Biodiversidade e Recursos Genéticos. Vila do Conde, Portugal / Universidade de São Paulo. Instituto de Matemática e Estatística. São Paulo, SP, Brasil | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Centro de Pesquisas Gonçalo Moniz. Salvador, BA, Brasil / Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil | pt_BR |
| Affilliation | World Health Organization, Geneva, Switzerland | pt_BR |
| Affilliation | London School of Hygiene and Tropical Medicine. London, UK | pt_BR |
| Affilliation | London School of Hygiene and Tropical Medicine. London, UK | pt_BR |
| Affilliation | National Institute of Public Health and the Environment. Department of Infectious Diseases Epidemiology. Bilthoven, The Netherlands / Leiden University Medical Center. Department of Medical Statistics and Bioinformatics. Leiden, The Netherlands | pt_BR |
| Affilliation | Liverpool School of Tropical Medicine, Liverpool, UK / Universidade do Porto. CIBIO-InBIO. Centro de Investigação em Biodiversidade e Recursos Genéticos. Vila do Conde, Portugal / Universidade de São Paulo. Instituto de Matemática e Estatística. São Paulo, SP, Brasil | pt_BR |
| Subject | Tuberculosis | pt_BR |
| Subject | Heterogeneity | pt_BR |
| Subject | Cohort selection | pt_BR |
| Subject | Social inequality | pt_BR |
| Subject | Intervention impact | pt_BR |
| xmlui.metadata.dc.subject.ods | 10 Redução das desigualdades | |
