| Title |
Stochastic lattice-based modelling of malaria dynamics
|
|---|---|
| Published in |
Malaria Journal, July 2018
|
| DOI | 10.1186/s12936-018-2397-z |
| Pubmed ID | |
| Authors |
Phong V. V. Le, Praveen Kumar, Marilyn O. Ruiz |
| Abstract |
The transmission of malaria is highly variable and depends on a range of climatic and anthropogenic factors. In addition, the dispersal of Anopheles mosquitoes is a key determinant that affects the persistence and dynamics of malaria. Simple, lumped-population models of malaria prevalence have been insufficient for predicting the complex responses of malaria to environmental changes. A stochastic lattice-based model that couples a mosquito dispersal and a susceptible-exposed-infected-recovered epidemics model was developed for predicting the dynamics of malaria in heterogeneous environments. The It[Formula: see text] approximation of stochastic integrals with respect to Brownian motion was used to derive a model of stochastic differential equations. The results show that stochastic equations that capture uncertainties in the life cycle of mosquitoes and interactions among vectors, parasites, and hosts provide a mechanism for the disruptions of malaria. Finally, model simulations for a case study in the rural area of Kilifi county, Kenya are presented. A stochastic lattice-based integrated malaria model has been developed. The applicability of the model for capturing the climate-driven hydrologic factors and demographic variability on malaria transmission has been demonstrated. |
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 % |
|---|---|---|
| United States | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 18% |
| Student > Ph. D. Student | 8 | 14% |
| Student > Bachelor | 6 | 11% |
| Student > Doctoral Student | 4 | 7% |
| Lecturer | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 18 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 16% |
| Biochemistry, Genetics and Molecular Biology | 7 | 12% |
| Agricultural and Biological Sciences | 3 | 5% |
| Nursing and Health Professions | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 13 | 23% |
| Unknown | 21 | 37% |
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 06 July 2018.
All research outputs
#13,043,199
of 23,094,276 outputs
Outputs from Malaria Journal
#3,147
of 5,612 outputs
Outputs of similar age
#157,557
of 327,553 outputs
Outputs of similar age from Malaria Journal
#56
of 91 outputs
Altmetric has tracked 23,094,276 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.
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We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.