Sentence examples for malaria risk data from inspiring English sources

Kenya is one of very few countries that have a plethora of malaria risk data, spanning over 30 years.

Our work did not require ethics committee clearance because we used available published data on malaria risk and malaria associated costs.

This paper describes current research on the use of satellite-based environmental data to predict malaria risk and examines the barriers and opportunities for implementing Malaria Early Warning Systems enabled by satellite remote sensing.

The predictions were based only on the relationship between the malaria risk and the environmental factors since data on the socio-economic status and the malaria interventions are not available at high resolution for the whole country.

The IRI provides free satellite images and maps displaying malaria risk factors via an extensive online data library., The organization has developed interfaces that allow nonexperts to visualize different environmental factors over varying time series, as well as to integrate epidemiological data.

It appears that in Nana Kenieba, malaria risk is high, net ownership is higher than national data but net use is lower than national data.

Based on data modeled by the Mapping Malaria Risk in Africa (MARA) project, the three districts have a range of 7 12 months of malaria transmission season.

Bayesian geostatistical modeling of national, household sample survey data has a utility beyond mapping malaria risk to guide the future of resource allocation and measuring its success.

Despite a data collection effort that spanned eight years, they were still unable to find enough information to assess the malaria risk for certain regions of Africa.

Our data showing that ITN use reduced febrile malaria risk in younger but not older children is consistent with older children having used ITNs when they were younger, and therefore having acquired less immunity.

The consequent next step should be to map individual data in order to link individual spatial patterns and malaria risk.