RESUMO
Climate change is likely to change the frequency of extreme weather events, such as tropical cyclones, floods, droughts and hurricanes, and may destabilise and weaken the ecosystem services upon which human society depends. Climate change is also expected to affect animal, human and plant health via indirect pathways: it is likely that the geography of infectious diseases and pests will be altered, including the distribution of vector-borne diseases, such as Rift Valley fever, yellow fever, malaria and dengue, which are highly sensitive to climatic conditions. Extreme weather events might then create the necessary conditions for Rift Valley fever to expand its geographical range northwards and cross the Mediterranean and Arabian seas, with an unexpected impact on the animal and human health of newly affected countries. Strengthening global, regional and national early warning systems is crucial, as are co-ordinated research programmes and subsequent prevention and intervention measures.
Assuntos
Surtos de Doenças/veterinária , Transmissão de Doença Infecciosa/veterinária , Efeito Estufa , Chuva , Febre do Vale de Rift , África/epidemiologia , Animais , Ceratopogonidae/crescimento & desenvolvimento , Ceratopogonidae/virologia , Clima , Demografia , Surtos de Doenças/prevenção & controle , Transmissão de Doença Infecciosa/prevenção & controle , Europa (Continente)/epidemiologia , Humanos , Insetos Vetores/crescimento & desenvolvimento , Insetos Vetores/virologia , Febre do Vale de Rift/epidemiologia , Febre do Vale de Rift/prevenção & controle , Febre do Vale de Rift/veterinária , ZoonosesRESUMO
Despite over 30 years of scientific research, algorithm development and multitudes of publications relating Remote Sensing (RS) information with the spatial and temporal distribution of malaria, it is only in recent years that operational products have been adopted by malaria control decision-makers. The time is ripe for the wealth of research knowledge and products from developed countries be made available to the decision-makers in malarious regions of the globe where this information is urgently needed. This paper reviews the capability of RS to provide useful information for operational malaria early warning systems. It also reviews the requirements for monitoring the major components influencing emergence of malaria and provides examples of applications that have been made. Discussion of the issues that have impeded implementation on a global scale and how those barriers are disappearing with recent economic, technological and political developments are explored; and help pave the way for implementation of an integrated Malaria Early Warning System framework using RS technologies.
