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Malaria impact of large dams in sub-Saharan Africa: maps, estimates and predictions

Overview of attention for article published in Malaria Journal, September 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#6 of 5,293)
  • High Attention Score compared to outputs of the same age (99th percentile)

Mentioned by

news
35 news outlets
blogs
6 blogs
twitter
48 tweeters
facebook
3 Facebook pages
reddit
1 Redditor

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
130 Mendeley
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Title
Malaria impact of large dams in sub-Saharan Africa: maps, estimates and predictions
Published in
Malaria Journal, September 2015
DOI 10.1186/s12936-015-0873-2
Pubmed ID
Authors

Solomon Kibret, Jonathan Lautze, Matthew McCartney, G. Glenn Wilson, Luxon Nhamo

Abstract

While there is growing recognition of the malaria impacts of large dams in sub-Saharan Africa, the cumulative malaria impact of reservoirs associated with current and future dam developments has not been quantified. The objective of this study was to estimate the current and predict the future impact of large dams on malaria in different eco-epidemiological settings across sub-Saharan Africa. The locations of 1268 existing and 78 planned large dams in sub-Saharan Africa were mapped against the malaria stability index (stable, unstable and no malaria). The Plasmodium falciparum infection rate (PfIR) was determined for populations at different distances (<1, 1-2, 2-5, 5-9 km) from the associated reservoirs using the Malaria Atlas Project (MAP) and WorldPop databases. Results derived from MAP were verified by comparison with the results of detailed epidemiological studies conducted at 11 dams. Of the 1268 existing dams, 723 are located in malarious areas. Currently, about 15 million people live in close proximity (<5 km) to the reservoirs associated with these dams. A total of 1.1 million malaria cases annually are associated with them: 919,000 cases due to the presence of 416 dams in areas of unstable transmission and 204,000 cases due to the presence of 307 dams in areas of stable transmission. Of the 78 planned dams, 60 will be located in malarious areas and these will create an additional 56,000 cases annually. The variation in annual PfIR in communities as a function of distance from reservoirs was statistically significant in areas of unstable transmission but not in areas of stable transmission. In sub-Saharan Africa, dams contribute significantly to malaria risk particularly in areas of unstable transmission. Additional malaria control measures are thus required to reduce the impact of dams on malaria.

Twitter Demographics

The data shown below were collected from the profiles of 48 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ethiopia 2 2%
Kenya 1 <1%
Brazil 1 <1%
Unknown 126 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 23%
Researcher 22 17%
Student > Bachelor 16 12%
Student > Ph. D. Student 15 12%
Other 7 5%
Other 21 16%
Unknown 19 15%
Readers by discipline Count As %
Environmental Science 30 23%
Agricultural and Biological Sciences 21 16%
Medicine and Dentistry 15 12%
Engineering 10 8%
Biochemistry, Genetics and Molecular Biology 6 5%
Other 21 16%
Unknown 27 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 347. 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 06 September 2016.
All research outputs
#65,023
of 21,044,876 outputs
Outputs from Malaria Journal
#6
of 5,293 outputs
Outputs of similar age
#844
of 253,181 outputs
Outputs of similar age from Malaria Journal
#1
of 1 outputs
Altmetric has tracked 21,044,876 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,293 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done particularly well, scoring higher than 99% of its peers.
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 253,181 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them