Modeling and analyzing the transmission dynamics of visceral leishmaniasis
Mathematical Biosciences and Engineering, ISSN: 1551-0018, Vol: 14, Issue: 5-6, Page: 1585-1604
2017
- 18Citations
- 8Usage
- 58Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations18
- Citation Indexes18
- 18
- CrossRef4
- Usage8
- Abstract Views8
- Captures58
- Readers58
- 58
Conference Paper Description
In this paper, we develop a mathematical model to study the transmission dynamics of visceral leishmaniasis. Three populations: dogs, sandies and humans, are considered in the model. Based on recent studies, we include vertical transmission of dogs in the spread of the disease. We also investigate the impact of asymptomatic humans and dogs as secondary reservoirs of the parasites. The basic reproduction number and sensitivity analysis show that the control of dog-sandy transmission is more important for the elimination of the disease. Vaccination of susceptible dogs, treatment of infective dogs, as well as control of vertical transmission in dogs are effective prevention and control measures for visceral leishmaniasis.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85020535212&origin=inward; http://dx.doi.org/10.3934/mbe.2017082; http://www.ncbi.nlm.nih.gov/pubmed/29161877; http://www.aimsciences.org/journals/displayArticlesnew.jsp?paperID=14177; https://nsuworks.nova.edu/math_facarticles/249; https://nsuworks.nova.edu/cgi/viewcontent.cgi?article=1250&context=math_facarticles; https://dx.doi.org/10.3934/mbe.2017082; http://www.aimsciences.org/article/doi/10.3934/mbe.2017082
American Institute of Mathematical Sciences (AIMS)
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