10.5061/DRYAD.130PG
Halasa, Tariq
Technical University of Denmark
Boklund, Anette
Technical University of Denmark
Data from: The impact of resources for clinical surveillance on the
control of a hypothetical foot-and-mouth disease epidemic in Denmark
Dryad
dataset
2015
foot-and-mouth disease
zones
clinical surveillance
2015-06-19T00:00:00Z
2015-06-19T00:00:00Z
en
https://doi.org/10.1371/journal.pone.0102480
3715722 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
The objectives of this study were to assess whether current surveillance
capacity is sufficient to fulfill EU and Danish regulations to control a
hypothetical foot-and-mouth disease (FMD) epidemic in Denmark, and whether
enlarging the protection and/or surveillance zones could minimize economic
losses. The stochastic spatial simulation model DTU-DADS was further
developed to simulate clinical surveillance of herds within the protection
and surveillance zones and used to model spread of FMD between herds. A
queuing system was included in the model, and based on daily surveillance
capacity, which was 450 herds per day, it was decided whether herds
appointed for surveillance would be surveyed on the current day or added
to the queue. The model was run with a basic scenario representing the EU
and Danish regulations, which includes a 3 km protection and 10 km
surveillance zone around detected herds. In alternative scenarios, the
protection zone was enlarged to 5 km, the surveillance zone was enlarged
to 15 or 20 km, or a combined enlargement of the protection and
surveillance zones was modelled. Sensitivity analysis included changing
surveillance capacity to 200, 350 or 600 herds per day, frequency of
repeated visits for herds in overlapping surveillance zones from every 14
days to every 7, 21 and 30 days, and the size of the zones combined with a
surveillance capacity increased to 600 herds per day. The results showed
that the default surveillance capacity is sufficient to survey herds on
time. Extra resources for surveillance did not improve the situation, but
fewer resources could result in larger epidemics and costs. Enlarging the
protection zone was a better strategy than the basic scenario. Despite
that enlarging the surveillance zone might result in shorter epidemic
duration, and lower number of affected herds, it resulted frequently in
larger economic losses.
DataDryadthis Data includes 4 data types: 1) Text files and an excel file
which are the output data (results) of study; 2) R files which are the
code of the simulation model that was used (DTU-DADS, Version 0.14); 3)
csv files that are the input data for the model, and 4) readme files in 2
word documents describing the content of the output data and the model.
Denmark