How mechanistic modelling supports decision making for the control of enzootic infectious diseases

被引：22

作者：

Ezanno, P. ^{[1
]}

Andraud, M. ^{[2
]}

Beaunee, G. ^{[1
]}

Hoch, T. ^{[1
]}

Krebs, S. ^{[1
]}

Rault, A. ^{[1
]}

Touzeau, S. ^{[3
,4
]}

Vergu, E. ^{[5
]}

Widgren, S. ^{[6
]}

机构：

[1] INRAE, BIOEPAR, Oniris, Site Chantrerie,CS40706, F-44307 Nantes, France

[2] Unite Epidemiol & Bien Etre Porc, Anses Lab Ploufragan Plouzane, Ploufragan, France

[3] Univ Cote dAzur, ISA, CNRS, INRAE, Biot, France

[4] Univ Cote dAzur, Univ Paris Sorbonne, BIOCORE, Inria,INRAE,CNRS, Biot, France

[5] Univ Paris Saclay, MaIAGE, INRAE, F-78350 Jouy En Josas, France

[6] Natl Vet Inst, Dept Dis Control & Epidemiol, S-75189 Uppsala, Sweden

来源：

EPIDEMICS | 2020年 / 32卷

关键词：

Epidemiological model; Interdisciplinarity; Multiscale; Livestock; Health economics; Data; DYNAMICS IN-VIVO; WITHIN-HOST; EPIDEMIOLOGIC IMPLICATIONS; LIVESTOCK DISEASE; CONTACT STRUCTURE; CATTLE FARMS; 7; CHALLENGES; GAME-THEORY; VACCINATION; NETWORK;

D O I：

10.1016/j.epidem.2020.100398

中图分类号：

R51 [传染病];

学科分类号：

100401 ;

摘要：

Controlling enzootic diseases, which generate a large cumulative burden and are often unregulated, is needed for sustainable farming, competitive agri-food chains, and veterinary public health. We discuss the benefits and challenges of mechanistic epidemiological modelling for livestock enzootics, with particular emphasis on the need for interdisciplinary approaches. We focus on issues arising when modelling pathogen spread at various scales (from farm to the region) to better assess disease control and propose targeted options. We discuss in particular the inclusion of farmers' strategic decision-making, the integration of within-host scale to refine intervention targeting, and the need to ground models on data.

引用

页数：10

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