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Attention Score in Context
| Title |
Joint Bayesian modeling of time to malaria and mosquito abundance in Ethiopia
|
|---|---|
| Published in |
BMC Infectious Diseases, June 2017
|
| DOI | 10.1186/s12879-017-2496-4 |
| Pubmed ID | |
| Authors |
Denekew Bitew Belay, Yehenew Getachew Kifle, Ayele Taye Goshu, Jon Michael Gran, Delenasaw Yewhalaw, Luc Duchateau, Arnoldo Frigessi |
| Abstract |
This paper studies the effect of mosquito abundance and malaria incidence in the last 3 weeks, and their interaction, on the hazard of time to malaria in a previously studied cohort of children in Ethiopia. We model the mosquito abundance and time to malaria data jointly in a Bayesian framework. We found that the interaction of mosquito abundance and incidence plays a prominent role on malaria risk. We quantify and compare relative risks of various factors, and determine the predominant role of the interaction between incidence and mosquito abundance in describing malaria risk. Seasonal rain patterns, distance to a water source of the households, temperature and relative humidity are all significant in explaining mosquito abundance, and through this affect malaria risk. Analyzing jointly the time to malaria data and the mosquito abundance allows a precise comparison of factors affecting the spread of malaria. The effect of the interaction between mosquito abundances and local presence of malaria parasites has an important effect on the hazard of time to malaria, beyond abundance alone. Each additional one km away from the dam gives an average reduction of malaria relative risk of 5.7%. The importance of the interaction between abundance and incidence leads to the hypothesis that preventive intervention could advantageously target the infectious population, in addition to mosquito control, which is the typical intervention today. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 2% |
| Unknown | 42 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 19% |
| Student > Ph. D. Student | 6 | 14% |
| Student > Master | 5 | 12% |
| Student > Bachelor | 3 | 7% |
| Student > Doctoral Student | 3 | 7% |
| Other | 3 | 7% |
| Unknown | 15 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 12% |
| Social Sciences | 4 | 9% |
| Environmental Science | 3 | 7% |
| Mathematics | 3 | 7% |
| Agricultural and Biological Sciences | 3 | 7% |
| Other | 8 | 19% |
| Unknown | 17 | 40% |
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 27 September 2020.
All research outputs
#13,725,469
of 24,294,766 outputs
Outputs from BMC Infectious Diseases
#3,159
of 8,130 outputs
Outputs of similar age
#151,980
of 321,081 outputs
Outputs of similar age from BMC Infectious Diseases
#70
of 174 outputs
Altmetric has tracked 24,294,766 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 8,130 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 60% 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 321,081 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 52% of its contemporaries.
We're also able to compare this research output to 174 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 60% of its contemporaries.