Sonia Sen Mentor: Dr. Andrew Comrie Arizona/NASA Space Grant Undergraduate Research Internship Statewide Symposium April 21, 2012 Dynamic Modeling of Mosquito.

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Presentation transcript:

Sonia Sen Mentor: Dr. Andrew Comrie Arizona/NASA Space Grant Undergraduate Research Internship Statewide Symposium April 21, 2012 Dynamic Modeling of Mosquito Vectors of Malaria

Climate Change and Health: Malaria 247 million people worldwide are affected by malaria 1 million deaths annually 1.6 million infected in the Indian subcontinent Climate change projections show tropical areas predict vector-borne diseases moving to higher latitudes and altitudes, covering 10% more area in 2080 than 2000

Modeling and Malaria Goals: Develop a climate-driven model of Anopheles vector Validate model on observed mosquito abundance in selected geographic locations Assess impact of climate change on mosquito abundance and implications for risk of disease Project Focus Literature search: climate effects on parasite and vector, other models Changing parameters: Daily temperature, precipitation Lifecycle stages (vector and parasite)

Dynamic Mosquito Simulation Model DyMSiM, 2010

Malaria Disease Ecology Protozoan parasite Plasmodium Plasmodium falciparum Transmitted by female Anopheles mosquitoes (disease vectors) Variable Anopheles stephensi Anopheles culicifacies EnvironmentUrbanRural Temperature (ºC) Ecological preference Endophilic Humidity (%)

Anopheles is ectothermic Affected by environment Temperature, precipitation, humidity Station Data (593 Stations) Mean temperature Mean dew point Mean sea level pressure Mean station pressure Maximum temperature Minimum temperature Precipitation amount Average # of years of Data: 37 years Station Data

Next Steps… Continuing development Testing with data Expanding software use APRIL Change in Temp C Change in Prec % Change in Mos Days THANK YOU Dr. Andrew Comrie Mona Arora Cory Morin ACES Lab AZ NASA Space Grant