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Dengue and Yellow fever in Brazil

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Presentation on theme: "Dengue and Yellow fever in Brazil"— Presentation transcript:

1 Dengue and Yellow fever in Brazil
Nicolas Degallier, IRD An historical fact A seasonal fact A biological fact A sociocultural fact

2 A pilot project: where is the climate?
Mosquito: development survival gonotrophic cycle Basic reproduction number (R0) Vectorial capacity Other factors: trophic preferences human behavior interrupted feeding virus genetics mosquito genetics vertical transmission Virus: extrinsic cycle Infection rate

3 Epidemiology in space and time
Walter M. Ramalho, CENEPI - Ministry of Health Who? – describe the patient: sex, age, scholarship, ocupação, socioeconomical features Where? – describe the place: city, address, urban equipamento, altitude, geographical coordinates. When? – describe time and weather: date, weather data How? – describe the disease: symptomatology, laboratory data, diagnostic, immunological status

4 A spatio-temporal analysis of Dengue and Yellow fever
50000 100000 150000 200000 250000 86 87 88 89 90 91 92 93 94 95 96 97 98 99 00 01 02 DENGUE Many cases Seasonality Urban YELLOW FEVER Few cases Seasonality Rural transmission Endemic Epizootic Epidemic risk

5 Epidemiology and Climate
Erik Neves, UnB Users and Models Inputs Dengue & YF cases Mosquito data Mosquito control data Meteorological data Populational data Vegetational data CLARIS participants Stakeholders Web community?

6 Climate and Epidemiology
CLARIS participants Stakeholders Web community? Risk maps Scenario outputs …?

7 A model of climate driven epidemics
Charly Favier, CNRS Second solution: mechanistic model Model of the mechanisms sustaining the whole process: mosquito development and habit, virus transmission Parameters deriving from the mechanisms, evaluated from present situation Projection of future epidemiological information using climatic predictions First solution: empirical model Fit between present climatic conditions and epidemiological informations Parameters chosen by the modeller Projection of future epidemiological information using climatic predictions Black box model Climate Temperature Humidity Rainfall Epidemiological information Vectorial capacity R0 Epidemic risk Epidemic curve Model Man-made environment

8 Mosquito immature stages
Dengue risk model Man-made environment Human dengue status Mosquito immature stages Reproduction Virus transmission Emergence Mosquito adult stage R0 Epidemic curves Climate Vectorial capacity


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