2012
DOI: 10.1016/j.jtbi.2012.07.028
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The role of the ratio of vector and host densities in the evolution of transmission modes in vector-borne diseases. The example of sylvatic Trypanosoma cruzi

Abstract: Pathogens may use different routes of transmission to maximize their spread among host populations. Theoretical and empirical work conducted on directly-transmitted diseases suggest that horizontal (i.e., through host contacts) and vertical (i.e., from mother to offspring) transmission modes trade off, on the ground that highly virulent pathogens, which produce larger parasite loads, are more efficiently transmitted horizontally, and that less virulent pathogens, which impair host fitness less significantly, a… Show more

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Cited by 17 publications
(15 citation statements)
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References 43 publications
(105 reference statements)
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“…The importance of contact process saturation (also suggested by [10]) in this weighting was seen in [20], where the contact process (leading to either stercorarian or oral transmission) whose saturation threshold was closer to the actual vector-host ratio was advantaged. The results of the present study highlight the difference in nature of the trade-off between horizontal host-vector transmission modes and vertical transmission in hosts, which bypasses vectors altogether.…”
Section: Synthesismentioning
confidence: 89%
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“…The importance of contact process saturation (also suggested by [10]) in this weighting was seen in [20], where the contact process (leading to either stercorarian or oral transmission) whose saturation threshold was closer to the actual vector-host ratio was advantaged. The results of the present study highlight the difference in nature of the trade-off between horizontal host-vector transmission modes and vertical transmission in hosts, which bypasses vectors altogether.…”
Section: Synthesismentioning
confidence: 89%
“…Sylvatic T. cruzi transmission of two strains within a single host-vector cycle can be modeled by a nonlinear dynamical system with differential equations tracking the numbers of hosts and vectors infected with each strain, as well as total population densities [15,20]. Since hosts' immune responses preclude coinfection, the model predicts competitive exclusion, with outcomes measured by reproductive numbers.…”
Section: T Cruzi Transmission and Epidemiological Invasion Fitnessmentioning
confidence: 99%
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