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The relation between host competence and vector-feeding preference in a multi-host model: Chagas and Cutaneous Leishmaniasis
- Source :
- Mathematical Biosciences and Engineering, Vol 17, Iss 5, Pp 5561-5583 (2020)
- Publication Year :
- 2020
- Publisher :
- AIMS Press, 2020.
-
Abstract
- Vector-borne diseases that occur in humans, as well as in domestic and wild reservoir hosts, cause a significant concern in public health, veterinary health, and ecological health in bio-diverse environments. The majority of vector-borne zoonotic diseases are transmitted among diverse host species, but different hosts have their own ability to transmit pathogens and to attract vectors. These combined transmission mechanisms in hosts and vectors are often called "host competencies" and "vector-feeding preferences." The purpose of this research is to assess the relationship between the host's ability to transmit the pathogen to vectors and the different feeding preferences for a specific host using a multi-host mathematical model. Working with zoonotic cutaneous leishmaniasis and Chagas disease, numerical simulations illustrate these vector-host populations' behavior together for the first time. Global sensitivity analyses confirm that the basic reproductive number, R0, is more sensitive to the the vector-demographic and biting-rate parameters in both diseases. Therefore, in this era of remarkable biodiversity loss and increased vector-borne diseases, it is crucial to understand how vector-host interaction mechanisms affect disease dynamics in humans within wildlife and domestic settings.
- Subjects :
- medicine.medical_specialty
Ecological health
Wildlife
Basic Reproduction Number
Leishmaniasis, Cutaneous
Vector Borne Diseases
Animals, Wild
02 engineering and technology
Host model
Disease
reservoirs
Biology
Disease Vectors
vector-borne disease
bio-diverse
Cutaneous leishmaniasis
0502 economics and business
0202 electrical engineering, electronic engineering, information engineering
medicine
QA1-939
Animals
Humans
zoonotic
host competence
Applied Mathematics
Public health
05 social sciences
General Medicine
medicine.disease
Computational Mathematics
feeding preference
Evolutionary biology
Modeling and Simulation
Vector (epidemiology)
020201 artificial intelligence & image processing
General Agricultural and Biological Sciences
Basic reproduction number
050203 business & management
TP248.13-248.65
Mathematics
Biotechnology
Subjects
Details
- Language :
- English
- ISSN :
- 15510018
- Volume :
- 17
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- Mathematical Biosciences and Engineering
- Accession number :
- edsair.doi.dedup.....7764097fd1c720c55ef490b9f24dc6ff
- Full Text :
- https://doi.org/10.3934/mbe.2020299?viewType=HTML