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Modelling the influence of temperature and rainfall on the population dynamics of Anopheles arabiensis

Overview of attention for article published in Malaria Journal, July 2016
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  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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Title
Modelling the influence of temperature and rainfall on the population dynamics of Anopheles arabiensis
Published in
Malaria Journal, July 2016
DOI 10.1186/s12936-016-1411-6
Pubmed ID
Authors

Gbenga J. Abiodun, Rajendra Maharaj, Peter Witbooi, Kazeem O. Okosun

Abstract

Malaria continues to be one of the most devastating diseases in the world, killing more humans than any other infectious disease. Malaria parasites are entirely dependent on Anopheles mosquitoes for transmission. For this reason, vector population dynamics is a crucial determinant of malaria risk. Consequently, it is important to understand the biology of malaria vector mosquitoes in the study of malaria transmission. Temperature and precipitation also play a significant role in both aquatic and adult stages of the Anopheles. In this study, a climate-based, ordinary-differential-equation model is developed to analyse how temperature and the availability of water affect mosquito population size. In the model, the influence of ambient temperature on the development and the mortality rate of Anopheles arabiensis is considered over a region in KwaZulu-Natal Province, South Africa. In particular, the model is used to examine the impact of climatic factors on the gonotrophic cycle and the dynamics of mosquito population over the study region. The results fairly accurately quantify the seasonality of the population of An. arabiensis over the region and also demonstrate the influence of climatic factors on the vector population dynamics. The model simulates the population dynamics of both immature and adult An. arabiensis. The simulated larval density produces a curve which is similar to observed data obtained from another study. The model is efficiently developed to predict An. arabiensis population dynamics, and to assess the efficiency of various control strategies. In addition, the model framework is built to accommodate human population dynamics with the ability to predict malaria incidence in future.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 195 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 195 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 13%
Student > Bachelor 25 13%
Student > Ph. D. Student 24 12%
Researcher 17 9%
Student > Doctoral Student 11 6%
Other 36 18%
Unknown 56 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 17%
Medicine and Dentistry 17 9%
Environmental Science 15 8%
Biochemistry, Genetics and Molecular Biology 13 7%
Mathematics 11 6%
Other 43 22%
Unknown 63 32%
Attention Score in Context

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 21 July 2016.
All research outputs
#14,168,969
of 24,400,706 outputs
Outputs from Malaria Journal
#3,444
of 5,827 outputs
Outputs of similar age
#193,444
of 363,138 outputs
Outputs of similar age from Malaria Journal
#59
of 134 outputs
Altmetric has tracked 24,400,706 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
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 is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 363,138 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 134 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 52% of its contemporaries.