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A Vectorial Capacity Product to Monitor Changing Malaria Transmission Potential in Epidemic Regions of Africa

Overview of attention for article published in Journal of Tropical Medicine (16879686), January 2012
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Title
A Vectorial Capacity Product to Monitor Changing Malaria Transmission Potential in Epidemic Regions of Africa
Published in
Journal of Tropical Medicine (16879686), January 2012
DOI 10.1155/2012/595948
Pubmed ID
Authors

Pietro Ceccato, Christelle Vancutsem, Robert Klaver, James Rowland, Stephen J. Connor

Abstract

Rainfall and temperature are two of the major factors triggering malaria epidemics in warm semi-arid (desert-fringe) and high altitude (highland-fringe) epidemic risk areas. The ability of the mosquitoes to transmit Plasmodium spp. is dependent upon a series of biological features generally referred to as vectorial capacity. In this study, the vectorial capacity model (VCAP) was expanded to include the influence of rainfall and temperature variables on malaria transmission potential. Data from two remote sensing products were used to monitor rainfall and temperature and were integrated into the VCAP model. The expanded model was tested in Eritrea and Madagascar to check the viability of the approach. The analysis of VCAP in relation to rainfall, temperature and malaria incidence data in these regions shows that the expanded VCAP correctly tracks the risk of malaria both in regions where rainfall is the limiting factor and in regions where temperature is the limiting factor. The VCAP maps are currently offered as an experimental resource for testing within Malaria Early Warning applications in epidemic prone regions of sub-Saharan Africa. User feedback is currently being collected in preparation for further evaluation and refinement of the VCAP model.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 1%
United States 1 1%
Brazil 1 1%
Unknown 80 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 23%
Student > Master 16 19%
Student > Ph. D. Student 8 10%
Student > Bachelor 6 7%
Student > Doctoral Student 5 6%
Other 17 20%
Unknown 12 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 23%
Environmental Science 11 13%
Medicine and Dentistry 9 11%
Earth and Planetary Sciences 7 8%
Computer Science 4 5%
Other 17 20%
Unknown 16 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 January 2012.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from Journal of Tropical Medicine (16879686)
#188
of 306 outputs
Outputs of similar age
#204,253
of 252,183 outputs
Outputs of similar age from Journal of Tropical Medicine (16879686)
#13
of 17 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 306 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 252,183 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.