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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Malaria morbidity and mortality in Ebola-affected countries caused by decreased health-care capacity, and the potential effect of mitigation strategies: a modelling analysis
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|---|---|
| Published in |
Lancet Infectious Diseases, April 2015
|
| DOI | 10.1016/s1473-3099(15)70124-6 |
| Pubmed ID | |
| Authors |
Patrick G T Walker, Michael T White, Jamie T Griffin, Alison Reynolds, Neil M Ferguson, Azra C Ghani |
| Abstract |
The ongoing Ebola epidemic in parts of west Africa largely overwhelmed health-care systems in 2014, making adequate care for malaria impossible and threatening the gains in malaria control achieved over the past decade. We quantified this additional indirect burden of Ebola virus disease. We estimated the number of cases and deaths from malaria in Guinea, Liberia, and Sierra Leone from Demographic and Health Surveys data for malaria prevalence and coverage of malaria interventions before the Ebola outbreak. We then removed the effect of treatment and hospital care to estimate additional cases and deaths from malaria caused by reduced health-care capacity and potential disruption of delivery of insecticide-treated bednets. We modelled the potential effect of emergency mass drug administration in affected areas on malaria cases and health-care demand. If malaria care ceased as a result of the Ebola epidemic, untreated cases of malaria would have increased by 45% (95% credible interval 43-49) in Guinea, 88% (83-93) in Sierra Leone, and 140% (135-147) in Liberia in 2014. This increase is equivalent to 3·5 million (95% credible interval 2·6 million to 4·9 million) additional untreated cases, with 10 900 (5700-21 400) additional malaria-attributable deaths. Mass drug administration and distribution of insecticide-treated bednets timed to coincide with the 2015 malaria transmission season could largely mitigate the effect of Ebola virus disease on malaria. These findings suggest that untreated malaria cases as a result of reduced health-care capacity probably contributed substantially to the morbidity caused by the Ebola crisis. Mass drug administration can be an effective means to mitigate this burden and reduce the number of non-Ebola fever cases within health systems. UK Medical Research Council, UK Department for International Development, Bill & Melinda Gates Foundation. |
X Demographics
The data shown below were collected from the profiles of 175 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 23 | 13% |
| United States | 19 | 11% |
| Spain | 13 | 7% |
| Japan | 10 | 6% |
| Australia | 5 | 3% |
| Netherlands | 5 | 3% |
| Switzerland | 3 | 2% |
| South Africa | 2 | 1% |
| Sweden | 2 | 1% |
| Other | 21 | 12% |
| Unknown | 72 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 130 | 74% |
| Scientists | 24 | 14% |
| Practitioners (doctors, other healthcare professionals) | 15 | 9% |
| Science communicators (journalists, bloggers, editors) | 6 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 347 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| United Kingdom | 1 | <1% |
| Kenya | 1 | <1% |
| Spain | 1 | <1% |
| Sierra Leone | 1 | <1% |
| Unknown | 340 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 65 | 19% |
| Researcher | 63 | 18% |
| Student > Ph. D. Student | 39 | 11% |
| Student > Bachelor | 39 | 11% |
| Other | 20 | 6% |
| Other | 61 | 18% |
| Unknown | 60 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 95 | 27% |
| Social Sciences | 45 | 13% |
| Nursing and Health Professions | 33 | 10% |
| Agricultural and Biological Sciences | 29 | 8% |
| Immunology and Microbiology | 10 | 3% |
| Other | 55 | 16% |
| Unknown | 80 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 333. 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 14 September 2022.
All research outputs
#101,364
of 25,753,578 outputs
Outputs from Lancet Infectious Diseases
#297
of 6,097 outputs
Outputs of similar age
#993
of 280,733 outputs
Outputs of similar age from Lancet Infectious Diseases
#2
of 98 outputs
Altmetric has tracked 25,753,578 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 6,097 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 92.2. 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 280,733 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 98 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.