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Prospects and recommendations for risk mapping to improve strategies for effective malaria vector control interventions in Latin America

Overview of attention for article published in Malaria Journal, December 2015
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  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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4 X users

Citations

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26 Dimensions

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133 Mendeley
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Title
Prospects and recommendations for risk mapping to improve strategies for effective malaria vector control interventions in Latin America
Published in
Malaria Journal, December 2015
DOI 10.1186/s12936-015-1052-1
Pubmed ID
Authors

Temitope O. Alimi, Douglas O. Fuller, Martha L. Quinones, Rui-De Xue, Socrates V. Herrera, Myriam Arevalo-Herrera, Jill N. Ulrich, Whitney A. Qualls, John C. Beier

Abstract

With malaria control in Latin America firmly established in most countries and a growing number of these countries in the pre-elimination phase, malaria elimination appears feasible. A review of the literature indicates that malaria elimination in this region will be difficult without locally tailored strategies for vector control, which depend on more research on vector ecology, genetics and behavioural responses to environmental changes, such as those caused by land cover alterations, and human population movements. An essential way to bridge the knowledge gap and improve vector control is through risk mapping. Malaria risk maps based on statistical and knowledge-based modelling can elucidate the links between environmental factors and malaria vectors, explain interactions between environmental changes and vector dynamics, and provide a heuristic to demonstrate how the environment shapes malaria transmission. To increase the utility of risk mapping in guiding vector control activities, definitions of malaria risk for mapping purposes must be standardized. The maps must also possess appropriate scale and resolution in order to become essential tools in integrated vector management (IVM), so that planners can target areas in greatest need of control measures. Fully integrating risk mapping into vector control programmes will make interventions more evidence-based, making malaria elimination more attainable.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Brazil 1 <1%
Colombia 1 <1%
United Kingdom 1 <1%
Philippines 1 <1%
Unknown 127 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 22%
Researcher 23 17%
Student > Ph. D. Student 18 14%
Student > Doctoral Student 10 8%
Student > Postgraduate 7 5%
Other 21 16%
Unknown 25 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 20%
Medicine and Dentistry 26 20%
Nursing and Health Professions 11 8%
Social Sciences 8 6%
Environmental Science 8 6%
Other 21 16%
Unknown 32 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 January 2016.
All research outputs
#12,746,370
of 22,836,570 outputs
Outputs from Malaria Journal
#3,019
of 5,572 outputs
Outputs of similar age
#173,921
of 390,595 outputs
Outputs of similar age from Malaria Journal
#65
of 158 outputs
Altmetric has tracked 22,836,570 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,572 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 44th percentile – i.e., 44% 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 390,595 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 158 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.