Santiago Movilla  Blancos bilde
Movilla Blanco
Fosswinckelsgt. 6
Stein Rokkans hus rom 5425
Postboks 7802
5020 Bergen
+47 55 58 31 39
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Climate change will have a major impact on many socioeconomic aspects in Kenya, and two of the most affected sectors are agriculture and health.

On the one side, agriculture is the mainstay of Kenya’s economy, but still food production and management require adaptation to climate change in order to achieve food security.

When it comes to health, climate change is expected to have a significant influence on the transmission rate of many infectious diseases. One of these diseases is malaria, being yet one of the leading causes of death in Kenya, where malaria is still endemic in some of its regions.

But equally important as the effects of the climate change in these sectors, is also the mutual interaction between food security, malaria and the rest of the sectors:

Sure enough, malaria affects people’s physical conditions decreasing the amount of hours worked in the agricultural sector and jeopardizing a significant share of food production that could otherwise contribute to improve food security. Also the lack of food security leads to lower nutrition levels, reducing the capacity to fight diseases like malaria.

The ongoing project contributes to the acceleration of the adaptation processes by combining the fields of climate change, food security, and malaria with the field of System Dynamics that uses computer simulation models for policy design. This combination results in an innovative methodology to effectively manage adaptation to climate change.

  • Movilla Blanco, Santiago; Miguel, Luis J.; Blázquez, L. Felipe. 2013. A system dynamics approach for the photovoltaic energy market in Spain. Energy Policy. 60: 142-154. doi: 10.1016/j.enpol.2013.04.072
  • Pedercini, Matteo; Movilla Blanco, Santiago; Kopainsky, Birgit. 2011. Application of the Malaria Management Model to the Analysis of Costs and Benefits of DDT versus Non-DDT Malaria Control. PLoS ONE. 6. doi: 10.1371/journal.pone.0027771

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Application of the Malaria Management Model to the Analysis of Costs and Benefits of DDT versus Non-DDT Malaria Control