Using mechanistic models to highlight research priorities for tick-borne zoonotic diseases: Improving our understanding of the ecology and maintenance of Kyasanur Forest Disease in India
Using mechanistic models to highlight research priorities for tick-borne zoonotic diseases: Improving our understanding of the ecology and maintenance of Kyasanur Forest Disease in India
复制标题
使用机制模型突出蜱传人畜共患疾病的研究重点:提高我们对印度 Kyasanur 森林病害的生态和维护的了解
DOI:
10.1101/2022.10.17.512427
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发表时间:
2022
期刊:
影响因子:
--
通讯作者:
Hassall R
中科院分区:
文献类型:
--
作者:
Hassall R
The risk of spillover of zoonotic diseases to humans is changing in response to multiple environmental and societal drivers, particularly in tropical regions where the burden of neglected zoonotic diseases is highest and land use change and forest conversion is occurring most rapidly. Neglected zoonotic diseases can have significant impacts on poor and marginalised populations in low-resource settings but ultimately receive less attention and funding for research and interventions. As such, effective control measures and interventions are often hindered by a limited ecological evidence base, which results in a limited understanding of epidemiologically relevant hosts or vectors and the processes that contribute to the maintenance of pathogens and spillover to humans. Here, we develop a generalisable next generation matrix modelling framework to better understand the transmission processes and hosts that have the greatest contribution to the maintenance of tick-borne diseases with the aim of improving the ecological evidence base and framing future research priorities for tick-borne diseases. Using this model we explore the relative contribution of different host groups and transmission routes to the maintenance of a neglected zoonotic tick-borne disease, Kyasanur Forest Disease Virus (KFD), in multiple habitat types. The results highlight the potential importance of transovarial transmission and small mammals and birds in maintaining this disease. This contradicts previous hypotheses that primates play an important role influencing the distribution of infected ticks. There is also a suggestion that risk could vary across different habitat types but currently more research is needed to evaluate this relationship. In light of these results, we outline the key knowledge gaps for this system and future research priorities that could inform effective interventions and control measures.
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DOI:
10.1017/9781316711644.011
发表时间:
2019-05
期刊:
Rates of Evolution
影响因子:
--
作者:
Hersholt C. Waxman;Margaret C. Wang;Kenneth A. Anderson;Herbert J. Walberg;Heraholt C. Waxman
通讯作者:
Hersholt C. Waxman;Margaret C. Wang;Kenneth A. Anderson;Herbert J. Walberg;Heraholt C. Waxman
影响因子:
11.1
作者:
Priyabrata Pattnaik
通讯作者:
Priyabrata Pattnaik
DOI:
--
发表时间:
1997
期刊:
影响因子:
--
作者:
P. Pramod;N. Joshi;U. Ghate;M. Gadgil
通讯作者:
M. Gadgil
影响因子:
2.5
作者:
Mewa Singh;N. Raghunatha Rao
通讯作者:
N. Raghunatha Rao
影响因子:
64.8
作者:
K. Singh;K. Pavri;C. R. Anderson
通讯作者:
C. R. Anderson