Literature DB >> 2180282

Epidemic dengue 1 in Brazil, 1986: evaluation of a clinically based dengue surveillance system.

V J Dietz1, D J Gubler, J G Rigau-Pérez, F Pinheiro, H G Schatzmayr, R Bailey, R A Gunn.   

Abstract

In the last 15 years, dengue fever has emerged as a major health problem in tropical America. Prevention and control of epidemic disease are enhanced by the rapid identification of new or increased dengue activity. Most surveillance systems, however, identify cases by clinical case reports and, therefore, lack the sensitivity needed for early detection. During the 1986 dengue 1 epidemic in Rio de Janeiro, Brazil, the authors evaluated the usefulness of a clinical case definition by comparing it with laboratory-confirmed infection status of residents in two cities. The case definition had a sensitivity of 64% and a false-positive rate of 57%. Thus, for every 100 laboratory-confirmed dengue infections, 230 cases were reported. Both infected and noninfected residents who used medical services and who lived in the city with the highest transmission were more likely to meet the case definition. Thus, factors unrelated to actual infection influenced the sensitivity. With the use of stepwise logistic regression, the authors analyzed combinations of patient symptoms and produced nine new hypothetical case definitions. However, none of the new definitions had a false-positive rate lower than 38%. This study emphasizes the need for laboratory-based dengue surveillance systems.

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Year:  1990        PMID: 2180282

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  12 in total

Review 1.  Clinical and laboratory features that distinguish dengue from other febrile illnesses in endemic populations.

Authors:  James A Potts; Alan L Rothman
Journal:  Trop Med Int Health       Date:  2008-09-16       Impact factor: 2.622

2.  Clinical and laboratory features that differentiate dengue from other febrile illnesses in an endemic area--Puerto Rico, 2007-2008.

Authors:  Christopher J Gregory; Luis Manuel Santiago; D Fermin Argüello; Elizabeth Hunsperger; Kay M Tomashek
Journal:  Am J Trop Med Hyg       Date:  2010-05       Impact factor: 2.345

3.  Potential risk for dengue hemorrhagic fever: the isolation of serotype dengue-3 in Mexico.

Authors:  B Briseño-García; H Gómez-Dantés; E Argott-Ramírez; R Montesano; A L Vázquez-Martínez; S Ibáñez-Bernal; G Madrigal-Ayala; C Ruíz-Matus; A Flisser; R Tapia-Conyer
Journal:  Emerg Infect Dis       Date:  1996 Apr-Jun       Impact factor: 6.883

4.  Cluster Analysis of Dengue Morbidity and Mortality in Mexico from 2007 to 2020: Implications for the Probable Case Definition.

Authors:  Carlos M Baak-Baak; Nohemi Cigarroa-Toledo; Jose F Pinto-Castillo; Rosa C Cetina-Trejo; Oswaldo Torres-Chable; Bradley J Blitvich; Julian E Garcia-Rejon
Journal:  Am J Trop Med Hyg       Date:  2022-03-14       Impact factor: 3.707

Review 5.  Quantitative antibiotic use in hospitals: comparison of measurements, literature review, and recommendations for a standard of reporting.

Authors:  S P Kuster; C Ruef; B Ledergerber; A Hintermann; C Deplazes; L Neuber; R Weber
Journal:  Infection       Date:  2008-11-13       Impact factor: 3.553

6.  Evaluation of the national Notifiable Diseases Surveillance System for dengue fever in Taiwan, 2010-2012.

Authors:  Caoimhe McKerr; Yi-Chun Lo; Obaghe Edeghere; Sam Bracebridge
Journal:  PLoS Negl Trop Dis       Date:  2015-03-20

7.  A predictive model to differentiate dengue from other febrile illness.

Authors:  Eduardo Fernández; Marek Smieja; Stephen D Walter; Mark Loeb
Journal:  BMC Infect Dis       Date:  2016-11-22       Impact factor: 3.090

8.  European monitoring systems and data for assessing environmental and climate impacts on human infectious diseases.

Authors:  Gordon L Nichols; Yvonne Andersson; Elisabet Lindgren; Isabelle Devaux; Jan C Semenza
Journal:  Int J Environ Res Public Health       Date:  2014-04-09       Impact factor: 3.390

9.  Clinical and laboratory predictive markers for acute dengue infection.

Authors:  Tzong-Shiann Ho; Shih-Min Wang; Yee-Shin Lin; Ching-Chuan Liu
Journal:  J Biomed Sci       Date:  2013-10-20       Impact factor: 8.410

10.  Accuracy of clinical criteria and an immunochromatographic strip test for dengue diagnosis in a DENV-4 epidemic.

Authors:  Sibelle Nogueira Buonora; Sonia Regina Lambert Passos; Cleber Nascimento do Carmo; Fernanda Moisés Quintela; Diana Neves Rodrigues de Oliveira; Flavia Barreto dos Santos; Yara Hahr Marques Hökerberg; Rita Maria Ribeiro Nogueira; Regina Paiva Daumas
Journal:  BMC Infect Dis       Date:  2016-01-29       Impact factor: 3.090

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