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Assessing potential countermeasures against the dengue epidemic in non-tropical urban cities

Overview of attention for article published in Theoretical Biology and Medical Modelling, April 2016
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Title
Assessing potential countermeasures against the dengue epidemic in non-tropical urban cities
Published in
Theoretical Biology and Medical Modelling, April 2016
DOI 10.1186/s12976-016-0039-0
Pubmed ID
Authors

Hiroki Masui, Itsuki Kakitani, Shumpei Ujiyama, Kazuyoshi Hashidate, Masataka Shiono, Kazue Kudo

Abstract

Dengue is a common mosquito-borne viral disease epidemic especially in tropical and sub-tropical regions where water sanitation is not substantially controlled. However, dengue epidemics sometimes occur in non-tropical urban cities with substantial water sanitary control. Using a mathematical model, we investigate what conditions can be important for a dengue epidemic to occur in an urban city such as Tokyo, where vectors are active only in summer and there are little number of vectors around hosts. The model, which is a modified Ross-Macdonald model, consists of two sets of host-vector compartments. The two sets correspond to high-risk and low-risk areas, and only hosts can move between them. Assuming that mosquitoes have constant activity for only 90 days, we assess five potential countermeasures: (1) restricted movement between the two areas, (2) insecticide application, (3) use of repellents, (4) vector control, and (5) isolation of the infected. The basic reproduction number R 0 and the cumulative number of infected hosts for 90 days are evaluated for each of the five countermeasures. In the cases of Measures 2-5, the cumulative number of the infected for 90 days can be reduced substantially for small R 0 even if R 0>1. Although R 0 for Measure 1 monotonically decreases with the mobility rates, the cumulative number of the infected for 90 days has a maximum at a moderate mobility rate. If the mobility rate is sufficiently small, the restricted movement effectively increases the number density of vectors in the high-risk area, and the epidemic starts earlier in the high-risk area than in the low-risk one, while the growth of infections is slow. Measures 2-5 are more or less effective. However, Measure 1 can have the opposite effect, depending on the mobility rates. The restricted movement results in the formation of a kind of core population, which can promote the epidemic in the entire population.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 5%
Nigeria 1 3%
Unknown 34 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 22%
Student > Master 7 19%
Student > Bachelor 6 16%
Other 4 11%
Student > Doctoral Student 4 11%
Other 4 11%
Unknown 4 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 30%
Medicine and Dentistry 4 11%
Nursing and Health Professions 4 11%
Veterinary Science and Veterinary Medicine 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Other 8 22%
Unknown 6 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 May 2016.
All research outputs
#18,459,684
of 22,873,031 outputs
Outputs from Theoretical Biology and Medical Modelling
#215
of 287 outputs
Outputs of similar age
#220,329
of 300,897 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#4
of 6 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 14th percentile – i.e., 14% 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 300,897 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.