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Climate drivers of vector-borne diseases in Africa and their relevance to control programmes

Overview of attention for article published in Infectious Diseases of Poverty, August 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#24 of 586)
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

blogs
1 blog
policy
2 policy sources
twitter
12 tweeters

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
76 Mendeley
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Title
Climate drivers of vector-borne diseases in Africa and their relevance to control programmes
Published in
Infectious Diseases of Poverty, August 2018
DOI 10.1186/s40249-018-0460-1
Pubmed ID
Authors

Madeleine C. Thomson, Ángel G. Muñoz, Remi Cousin, Joy Shumake-Guillemot

Abstract

Climate-based disease forecasting has been proposed as a potential tool in climate change adaptation for the health sector. Here we explore the relevance of climate data, drivers and predictions for vector-borne disease control efforts in Africa. Using data from a number of sources we explore rainfall and temperature across the African continent, from seasonality to variability at annual, multi-decadal and timescales consistent with climate change. We give particular attention to three regions defined as WHO-TDR study zones in Western, Eastern and Southern Africa. Our analyses include 1) time scale decomposition to establish the relative importance of year-to-year, decadal and long term trends in rainfall and temperature; 2) the impact of the El Niño Southern Oscillation (ENSO) on rainfall and temperature at the Pan African scale; 3) the impact of ENSO on the climate of Tanzania using high resolution climate products and 4) the potential predictability of the climate in different regions and seasons using Generalized Relative Operating Characteristics. We use these analyses to review the relevance of climate forecasts for applications in vector borne disease control across the continent. Timescale decomposition revealed long term warming in all three regions of Africa - at the level of 0.1-0.3 °C per decade. Decadal variations in rainfall were apparent in all regions and particularly pronounced in the Sahel and during the East African long rains (March-May). Year-to-year variability in both rainfall and temperature, in part associated with ENSO, were the dominant signal for climate variations on any timescale. Observed climate data and seasonal climate forecasts were identified as the most relevant sources of climate information for use in early warning systems for vector-borne diseases but the latter varied in skill by region and season. Adaptation to the vector-borne disease risks of climate variability and change is a priority for government and civil society in African countries. Understanding rainfall and temperature variations and trends at multiple timescales and their potential predictability is a necessary first step in the incorporation of relevant climate information into vector-borne disease control decision-making.

Twitter Demographics

The data shown below were collected from the profiles of 12 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 17%
Researcher 11 14%
Student > Bachelor 10 13%
Student > Ph. D. Student 8 11%
Lecturer 4 5%
Other 13 17%
Unknown 17 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 12%
Social Sciences 8 11%
Medicine and Dentistry 7 9%
Environmental Science 6 8%
Biochemistry, Genetics and Molecular Biology 5 7%
Other 18 24%
Unknown 23 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 01 January 2020.
All research outputs
#925,772
of 15,578,550 outputs
Outputs from Infectious Diseases of Poverty
#24
of 586 outputs
Outputs of similar age
#28,538
of 277,466 outputs
Outputs of similar age from Infectious Diseases of Poverty
#1
of 1 outputs
Altmetric has tracked 15,578,550 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 586 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 95% 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 277,466 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% 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