A new method to estimate the basic reproductive number of diseases (R 0): An application to the study of dengue epidemics in the Federal District of Brazil

Dengue epidemics in Brazil generally begin with a silent phase that lasts for days or weeks, followed by a phase of exponential increase, and then a more or less stable phase before decrease begins. The total number of cases depends on historic, climatic, and ecological factors. Three epidemics in t...

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Autor principal: Degallier, N.
Otros Autores: Favier, C., Boulanger, J.-P, Menkes, C.E, Oliveira, C.
Formato: Capítulo de libro
Lenguaje:Francés
Publicado: 2005
Acceso en línea:Registro en Scopus
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Registro en la Biblioteca Digital
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100 1 |a Degallier, N. 
245 1 2 |a A new method to estimate the basic reproductive number of diseases (R 0): An application to the study of dengue epidemics in the Federal District of Brazil 
246 3 1 |a Une nouvelle méthode d'estimation du taux de reproduction des maladies (R0): Application à l'étude des épidémies de dengue dans le District Fédéral (Brésil) 
260 |c 2005 
270 1 0 |m Degallier, N.; Inst. de Rech. pour le Developpement, U. Mixte de Rech. 182/U. Rech. 178, Lab. d'Oceanogr./de Dynam. du Climat, 4, place Jussieu, 75252 Paris Cedex 05, France; email: Nicolas.Degallier@ird.fr 
506 |2 openaire  |e Política editorial 
504 |a Pedro, A., O dengueem Nictheroy (1923) Brazil-Medico, 1, pp. 173-177 
504 |a Degallier, N., Travassos Da Rosa, A.P.A., Vasconcelos, P.F.D.C., La cengue et ses vecteurs au Brésil (1996) Bull Soc Pathol Exot, 89, pp. 128-136 
504 |a Degallier, N., Hervé, J.P., Travassos Da Rosa, A.P.A., Entomological studies on dengue fever vectors in Brazil: The epidemics of Boa Vista, Roraima, 1982, Nictheroy, Rio de Janeiro, 1986, and Ceara State, 1986, 1994 (1998) An Overview of Arbovirology in Brazil and Neighbouring Countries, pp. 261-71. , Travassos Da Rosa APA, Vasconcelos PF da C, Travassos da Rosa JFS, eds. Belem (Pará, Brésil): Instituto Evandro Chagas 
504 |a Dietz, K., The estimation of the basic reproduction number for infectious diseases (1993) Stat Met Med Res, 2, pp. 23-41 
504 |a Brauer, F., Castillo-Chavez, C., Basic models in epidemiology (1994) Ecological Time Series, pp. 410-447. , Steele J, Powell T, eds. New York: Raven Press 
504 |a Bruce-Chwatt, L.J., Mathematical models in the epidemiology and control of malaria (1976) Trop Geogr Med, 28, pp. 1-7 
504 |a Dietz, K., Transmission and control of arbovirus diseases (1974) Proceedings of SIMS Conference on Epidemiology, July 8-12, 1974, pp. 104-121. , Ludvig D, Cooke KL, eds. Alta (Utah, États-Unis) 
504 |a Favier, C., (2003) Hommes, Savanes, Forêts. Modélisation de Systèmes Dynamiques Liant l'Homme à Son Environnement, , Thèse de doctorat, université Paris XI Orsay, xx + 220 p 
504 |a Koopman, J.S., Prevots, D.R., Marin, M.A.V., Determinants and predictors of dengue infection in Mexico (1991) Am J Epidemiol, 133, pp. 1168-1178 
504 |a Marques, C.C.D.A., Forattini, O.P., Massad, E., The basic reproduction number for dengue fever in São Paulo state, Brazil, 1990-1991 epidemic (1994) Trans R Soc Trop Med Hyg, 88, pp. 58-59 
504 |a Massed, E., Burattini, M.N., Coutinho, F.A.B., Lopez, L.F., Dengue and the risk of urban yellow fever reintroduction in São Paulo State, Brazil (2003) Rev Saude Publica, 37, pp. 477-484 
504 |a Anderson, R.M., May, R.M., (1999) Infectious Diseases of Humans: Dynamics and Control, , Bristol (Avon, Royaume-Uni): Oxford University Press; viii + 757 p 
504 |a Zhou, C., Van, C., Severe acute respiratory syndrome epidemic in Asia (2003) Emerg Inf Dis, 9, pp. 1608-1610 
520 3 |a Dengue epidemics in Brazil generally begin with a silent phase that lasts for days or weeks, followed by a phase of exponential increase, and then a more or less stable phase before decrease begins. The total number of cases depends on historic, climatic, and ecological factors. Three epidemics in the Federal District (Brazil) were studied to estimate the basic reproductive number R0 and the total number of cases. A new method is proposed, based on the relation between the number of new cases daily and the cumulative number of cases. R 0 is then estimated from the initial slope of the curve describing this relation. Evaluation of the total number of cases requires a more precise method and should take into account some heterogeneity in the rates of contact between people and mosquitoes.  |l eng 
593 |a Inst. de Rech. pour le Developpement, U. Mixte de Rech. 182/U. Rech. 178, Lab. d'Oceanogr./de Dynam. du Climat, 4, place Jussieu, 75252 Paris Cedex 05, France 
593 |a Depto. de Cie. de la Atmosf./Oceanos, FCEN-UBA, Pabellon II, Buenos Aires, Argentina 
593 |a DIVAL/SES-DF, Estrada do Contorno do Bosque, SAIN 70620-000 Brasília, DF, Brazil 
690 1 0 |a BIOLOGICAL 
690 1 0 |a BRAZIL 
690 1 0 |a DENGUE 
690 1 0 |a DISEASE OUTBREAKS 
690 1 0 |a EPIDEMIOLOGY 
690 1 0 |a INSECT VECTORS 
690 1 0 |a MODELS 
690 1 0 |a BRAZIL 
690 1 0 |a CONFERENCE PAPER 
690 1 0 |a DENGUE 
690 1 0 |a DISEASE CARRIER 
690 1 0 |a DISEASE TRANSMISSION 
690 1 0 |a EPIDEMIC 
690 1 0 |a HUMAN 
690 1 0 |a MODEL 
690 1 0 |a MOSQUITO 
690 1 0 |a NONHUMAN 
700 1 |a Favier, C. 
700 1 |a Boulanger, J.-P. 
700 1 |a Menkes, C.E. 
700 1 |a Oliveira, C. 
773 0 |d 2005  |g v. 4  |h pp. 131-135  |k n. 2  |p Envir. Risques Sante  |x 16350421  |t Environnement, Risques et Sante 
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856 4 0 |u https://hdl.handle.net/20.500.12110/paper_16350421_v4_n2_p131_Degallier  |y Handle 
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