Ulisses E. C. Confalonieri Roberta Costa Dias Ulisses E. C. Confalonieri Roberta Costa Dias Climate Variability, Land Use and Malaria in the Amazon: Preliminary Results from the State of Roraima, Brazil. Climate Variability, Land Use and Malaria in the Amazon: Preliminary Results from the State of Roraima, Brazil. Program on Global Environmental Changes and Health Department of Biological Sciences National School of Public Health Oswaldo Cruz Foundation Program on Global Environmental Changes and Health Department of Biological Sciences National School of Public Health Oswaldo Cruz Foundation by
Program on Global Environmental Changes and Health
VECTOR–BORNE DISEASE INCIDENCE eg. malaria VECTOR–BORNE DISEASE INCIDENCE eg. malaria PRECIPITATION ANOMALY VECTOR POPULATION DENSITY CLIMATE SYSTEM VARIABILITY Physical Linkages Possible Associations
LIFE–CYCLE OF MALARIA PARASITE AND VECTORS LAND USE PRACTICE DEFORESTATION INCREASE IN MALARIA INCIDENCE INCREASE IN MEAN TEMPERATURE Physical Linkages Possible Associations
Precipitation Anomaly Deforestation CLIMATE Hydrological Cycle Forest Fires LAND USE PHYSICAL PARAMETERS eg. temperature; humidity VECTOR BIOLOGY eg. reproduction; growth; longevity MALARIA INCIDENCE Demography Behaviour Demography Behaviour
Conceptual Model for the Assessment of the Impacts of Climate Variability on Infectious Diseases PUBLIC HEALTH INTERVENTIONS BIOLOGY OF VECTORS AND DISEASE AGENTS Vector control Treatment of cases Precipitation Temperature Runoff Relative humidity Changes in habitats Changes in animal reservoirs Change in microclimates DEMOGRAPHY BEHAVIOUR INCOME MOBILITY CULTURE INFORMATION OCCUPATION INSTITUTIONS DEMOGRAPHY BEHAVIOUR INCOME MOBILITY CULTURE INFORMATION OCCUPATION INSTITUTIONS HUMAN EXPOSURE INFECTIOUS DISEASES CLIMATE VARIABILITY LAND COVER CHANGES LAND USE PRACTICES HYDRO–METEOROLOGICAL PARAMETERS
Climate System Meteorological Variables Precipitation DECREASE IN MALARIA INCREASE IN MALARIA OUTBREAKS OF PLAGUE OUTBREAKS OF LEPTOSPIROSIS MOSQUITO LARVAE WASHED AWAY MOSQUITO BREEDING INCREASE IN POPULATION OF RODENTS (RESERVOIR) POOR DRAINAGE RUNOFF RAINFOREST POOLS SEMI-ARID INCREASE IN ECOSYSTEM PRODUCTIVITY SEMI-ARID POOR CARBAGE DISPOSAL URBAN SLUMS
Roraima
Annual Precipitations in the Stations of S. M. Boiacu, Fé e Esperança and Maloca do Contão
Precipitação Pluviométrica nas Estações Boqueirão e Faz. São João, 1985–1990
Precipitação Pluviométrica nas Estações Boqueirão e Faz. São João, 1990–1995
Precipitação Pluviométrica nas Estações de Surucucu e Fé e Esperança, 1985–1990
Precipitação Pluviométrica nas Estações Boqueirão e SOI, 1980–1985
Precipitação Pluviométrica nas Estações Boqueirão e SOI, 1985–1990
Methodology ( I ) I – Malaria Rate per Month for Each Municipality: 2 municipalities up to 1983 8 municipalities from 1984 to 1996 15 municipalities after 1996 II – Precipitation Data from 51 Rain Gauge Stations: 15 with reliable data from 1980 onwards
Methodology ( II ) To compare ENSO indices (SOI; SST3) with malaria incidence at state and municipal level. To compare rainfall intensity and duration with malaria incidence (measured by IPA) for every municipality.
Annual Parasite Index for the State of Roraima – 1980–1998
Annual Parasite Index for Calendar Year and June/May Periods in Roraima ( )
IPA for Malaria and SOI in Roraima 1980 a 1985
IPA for Malaria and SOI in Roraima
IPA for Malaria and SOI in Roraima
Malária x Precipitação em Bonfim 1985–1990
Malária x Precipitação em S. M. Boiacu 1985–1990
Methodology ( III ) To perform a cluster analysis of rain gauge stations from historical precipitation data. To match the precipitation data above with the dominant ecosystem in order to have specific ECOREGIONS defined. To analyze the malaria incidence data for each ecoregion as related to climate variation, land use/demographic events and disease control activities.
Conclusions Malaria in Roraima is an endemic disease with a seasonal pattern: the high transmission season is November through January and the low transmission period from June to August. Malaria incidence in RR decreases with ENSO due to the low humidity associated with the precipitation anomaly (drought).