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With many children to care for, mothers can't leave the home to help provide for their families. So, malaria burdens individual households, as well as local health services. An Anopheles mosquito takes blood from a human host. This mosquito is a vector for malaria, which kills more than a million people each year in over countries and territories. Targeting bed nets and effective drugs to specific populations could cut the spread of malaria in half, Snow said, but researchers must have accurate population data to determine exactly where they should concentrate their efforts.

The NGO marketed the nets in a city where people were less likely to contract malaria and, therefore, the project failed. Andrew Tatem, a zoology researcher at the University of Oxford, said that before scientists can make headway in fighting malaria, they must first understand how the disease affects different populations.

But Tatem said no one knows exactly what "half" is. If malaria researchers had accurate numbers for specific locations, they might be able to attack the problem in a proactive way. Data, Snow said, could provide solutions. The data set allows researchers to easily analyze population data with other geographically referenced data, such as land-use patterns, geophysical hazards, and climate information. Version 3 of the data set includes more input units more individual sets of data for the administrative units , than the first two versions of GPW, allowing Balk to create smaller grids for many countries.

A mother and child in Zambia, Africa sleep under an insecticide-treated bed net. For example, they found that while coastal ecosystems in Africa are densely populated and disproportionately urban, close to 45 percent of Africans live in cultivated zones, with only about 40 percent of those residents being urban dwellers. With these data, scientists can look at where malaria-ridden mosquitoes live in relation to people, and learn about the effects of population growth on the environment.

Although field research shows that malaria is more prevalent in rural areas, the combined GPW, GRUMP, and satellite data allows scientists to better estimate malaria risk and burden. So, the new data gives scientists a better idea of where to send bed nets and medicine. Tatem works with Simon Hay, also of the University of Oxford and principal scientist for the malaria project, to combine the population data of GRUMP with maps of areas considered to be at-risk from malaria.

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