The observations of temperature from meteorological networks, as independen
t observations or indicators (paleoclimatic, snow cover; sea-ice and glacie
rs extensions, sea level), tend towards a surface global warming, which has
been more intense during the last decades. Several studies converge on the
attribution of part of the most recent warming to human activities. The El
Nino event (and its companion La Nina) of climate variability, induces cli
mate anomalies which can be distributed all over the globe. The forecasting
of these events, several season in advance, became foreseeable a few years
ago. These forecasts, as climate change predictions, can be used as input
to impact studies on the occurrence and extension of infectious diseases. I
t appears important that the corresponding methodologies account for the un
certainties of the climatic forecasts and predictions. (C) 1999 Elsevier, P
aris.