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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Travel patterns and demographic characteristics of malaria cases in Swaziland, 2010–2014
|
|---|---|
| Published in |
Malaria Journal, September 2017
|
| DOI | 10.1186/s12936-017-2004-8 |
| Pubmed ID | |
| Authors |
Natalia Tejedor‐Garavito, Nomcebo Dlamini, Deepa Pindolia, Adam Soble, Nick W. Ruktanonchai, Victor Alegana, Arnaud Le Menach, Nyasatu Ntshalintshali, Bongani Dlamini, David L. Smith, Andrew J. Tatem, Simon Kunene |
| Abstract |
As Swaziland progresses towards national malaria elimination, the importation of parasites into receptive areas becomes increasingly important. Imported infections have the potential to instigate local transmission and sustain local parasite reservoirs. Travel histories from Swaziland's routine surveillance data from January 2010 to June 2014 were extracted and analysed. The travel patterns and demographics of rapid diagnostic test (RDT)-confirmed positive cases identified through passive and reactive case detection (RACD) were analysed and compared to those found to be negative through RACD. Of 1517 confirmed cases identified through passive surveillance, 67% reported travel history. A large proportion of positive cases reported domestic or international travel history (65%) compared to negative cases (10%). The primary risk factor for malaria infection in Swaziland was shown to be travel, more specifically international travel to Mozambique by 25- to 44-year old males, who spent on average 28 nights away. Maputo City, Inhambane and Gaza districts were the most likely travel destinations in Mozambique, and 96% of RDT-positive international travellers were either Swazi (52%) or Mozambican (44%) nationals, with Swazis being more likely to test negative. All international travellers were unlikely to have a bed net at home or use protection of any type while travelling. Additionally, paths of transmission, important border crossings and means of transport were identified. Results from this analysis can be used to direct national and well as cross-border targeting of interventions, over space, time and by sub-population. The results also highlight that collaboration between neighbouring countries is needed to tackle the importation of malaria at the regional level. |
X Demographics
The data shown below were collected from the profiles of 30 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 States | 7 | 23% |
| Italy | 2 | 7% |
| United Kingdom | 2 | 7% |
| Australia | 1 | 3% |
| Spain | 1 | 3% |
| South Africa | 1 | 3% |
| Tanzania, United Republic of | 1 | 3% |
| Nigeria | 1 | 3% |
| Unknown | 14 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 60% |
| Scientists | 8 | 27% |
| Science communicators (journalists, bloggers, editors) | 3 | 10% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
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 % |
|---|---|---|
| Unknown | 83 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 17% |
| Researcher | 14 | 17% |
| Student > Ph. D. Student | 14 | 17% |
| Student > Bachelor | 5 | 6% |
| Lecturer > Senior Lecturer | 4 | 5% |
| Other | 10 | 12% |
| Unknown | 22 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 18% |
| Agricultural and Biological Sciences | 11 | 13% |
| Nursing and Health Professions | 8 | 10% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Mathematics | 4 | 5% |
| Other | 14 | 17% |
| Unknown | 27 | 33% |
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 24 July 2018.
All research outputs
#1,625,656
of 24,400,706 outputs
Outputs from Malaria Journal
#273
of 5,827 outputs
Outputs of similar age
#32,209
of 319,988 outputs
Outputs of similar age from Malaria Journal
#8
of 129 outputs
Altmetric has tracked 24,400,706 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,827 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. 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 319,988 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 129 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 94% of its contemporaries.