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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Effect of climatic variability on malaria trends in Baringo County, Kenya
|
|---|---|
| Published in |
Malaria Journal, May 2017
|
| DOI | 10.1186/s12936-017-1848-2 |
| Pubmed ID | |
| Authors |
Edwin K. Kipruto, Alfred O. Ochieng, Douglas N. Anyona, Macrae Mbalanya, Edna N. Mutua, Daniel Onguru, Isaac K. Nyamongo, Benson B. A. Estambale |
| Abstract |
Malaria transmission in arid and semi-arid regions of Kenya such as Baringo County, is seasonal and often influenced by climatic factors. Unravelling the relationship between climate variables and malaria transmission dynamics is therefore instrumental in developing effective malaria control strategies. The main aim of this study was to describe the effects of variability of rainfall, maximum temperature and vegetation indices on seasonal trends of malaria in selected health facilities within Baringo County, Kenya. Climate variables sourced from the International Research Institute (IRI)/Lamont-Doherty Earth Observatory (LDEO) climate database and malaria cases reported in 10 health facilities spread across four ecological zones (riverine, lowland, mid-altitude and highland) between 2004 and 2014 were subjected to a time series analysis. A negative binomial regression model with lagged climate variables was used to model long-term monthly malaria cases. The seasonal Mann-Kendall trend test was then used to detect overall monotonic trends in malaria cases. Malaria cases increased significantly in the highland and midland zones over the study period. Changes in malaria prevalence corresponded to variations in rainfall and maximum temperature. Rainfall at a time lag of 2 months resulted in an increase in malaria transmission across the four zones while an increase in temperature at time lags of 0 and 1 month resulted in an increase in malaria cases in the riverine and highland zones, respectively. Given the existence of a time lag between climatic variables more so rainfall and peak malaria transmission, appropriate control measures can be initiated at the onset of short and after long rains seasons. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Science communicators (journalists, bloggers, editors) | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | <1% |
| Unknown | 162 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 34 | 21% |
| Researcher | 18 | 11% |
| Student > Bachelor | 16 | 10% |
| Student > Ph. D. Student | 15 | 9% |
| Student > Doctoral Student | 8 | 5% |
| Other | 19 | 12% |
| Unknown | 53 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 12% |
| Biochemistry, Genetics and Molecular Biology | 15 | 9% |
| Environmental Science | 14 | 9% |
| Agricultural and Biological Sciences | 12 | 7% |
| Nursing and Health Professions | 11 | 7% |
| Other | 34 | 21% |
| Unknown | 58 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 08 November 2021.
All research outputs
#4,230,828
of 25,559,053 outputs
Outputs from Malaria Journal
#933
of 5,944 outputs
Outputs of similar age
#69,057
of 327,494 outputs
Outputs of similar age from Malaria Journal
#34
of 137 outputs
Altmetric has tracked 25,559,053 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,944 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 84% 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 327,494 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 78% of its contemporaries.
We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.