Tick-Borne diseases can be transmitted via non-systemic (NS) transmission. This occurs when tick gets the infection by co-feeding with infected ticks on the same host resulting in a direct pathogen transmission between the vectors, without infecting the host. This transmission is peculiar, as it does not require any systemic infection of the host. The NS transmission is the main efficient transmission for the persistence of the Tick-Borne Encephalitis virus in nature. By describing the heterogeneous ticks aggregation on hosts through a bipartite graphs representation, we are able to mathematically define the NS transmission and to depict the epidemiological conditions for the pathogen persistence. Despite the fact that the underlying network is largely fragmented, analytical and computational results show that the larger is the variability of the aggregation, and the easier is for the pathogen to persist in the population.

Non-systemic transmission of tick-borne diseases: a network approach.

FERRERI, LUCA;BAJARDI, PAOLO;GIACOBINI, Mario Dante Lucio
2016-01-01

Abstract

Tick-Borne diseases can be transmitted via non-systemic (NS) transmission. This occurs when tick gets the infection by co-feeding with infected ticks on the same host resulting in a direct pathogen transmission between the vectors, without infecting the host. This transmission is peculiar, as it does not require any systemic infection of the host. The NS transmission is the main efficient transmission for the persistence of the Tick-Borne Encephalitis virus in nature. By describing the heterogeneous ticks aggregation on hosts through a bipartite graphs representation, we are able to mathematically define the NS transmission and to depict the epidemiological conditions for the pathogen persistence. Despite the fact that the underlying network is largely fragmented, analytical and computational results show that the larger is the variability of the aggregation, and the easier is for the pathogen to persist in the population.
2016
2
16
http://www.sciencedirect.com/science/article/pii/S1007570416300636
http://arxiv.org/abs/1603.03752
temporal networks, ecology, epidemiology, aggregation, tick-borne diseases, non-systemic transmission
Ferreri, Luca; Bajardi, Paolo; Giacobini, Mario
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1557464
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