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. 2017 Nov 23;15(11):e05051.
doi: 10.2903/j.efsa.2017.5051. eCollection 2017 Nov.

Assessment of Echinococcus multilocularis surveillance reports submitted in 2017 in the context of Commission Regulation (EU) No 1152/2011

Assessment of Echinococcus multilocularis surveillance reports submitted in 2017 in the context of Commission Regulation (EU) No 1152/2011

European Food Safety Authority (EFSA) et al. EFSA J. .

Abstract

This report is part of the 'Echinococcus multilocularis surveillance' scientific reports which are presented annually by EFSA to the European Commission and are intended to assess the sampling strategy, data collection and detection methods used by Finland, Ireland, Malta, the UK and Norway in their respective surveillance programmes. The surveillance programmes of these five countries were evaluated by checking the information submitted by each of them and verifying that the technical requirements laid down in Regulation (EU) No 1152/2011 were complied. The information was divided into four different categories for assessment: the type and sensitivity of the detection method, the selection of the target population, the sampling strategy and the methodology. For each category, the main aspects that need to be taken into account in order to accomplish the technical requirements of the legislation were checked against compliance of several criteria. All of the territories participating in this surveillance (Finland, the UK, Norway, Malta and Ireland) succeeded in the fulfilment of the technical legal requirements foreseen in Regulation (EU) No 1152/2011 concerning these four different categories. However, both Malta and Northern Ireland (UK) fulfil those requirements only assuming a diagnostic test sensitivity value higher than the one suggested by EFSA (conservative value of 0.78). None of the five countries recorded positive samples in 2016.

Keywords: Echinococcus multilocularis; absence of infection; freedom from disease; surveillance.

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Figures

Figure 1
Figure 1
Finland – raccoon dog densities (left) and red fox densities (right) according to Kahuala (2007) (Yks./km2  = individuals/km2)
  1. Legend: the density values range from 0 to 1. Decimal values are indicated after the comma.

Figure 2
Figure 2
Finland – annual hunting bag of foxes and racoon dogs (2007–2015) (Source: OSF Natural Resources Institute Finland)
Figure 3
Figure 3
Finland – geographical distribution of samples
Figure 4
Figure 4
Finland – temporal distribution of samples
Figure 5
Figure 5
Finland – test sensitivity of the PCR 12S rRNA method (according to Isaksson et al., 2014) based on internal trials performed from 2014 to 2016
Figure 6
Figure 6
Finland – sampling activity and intensity by NUTS 3 region
Figure 7
Figure 7
Ireland probability of the presence per 1 km2 from the final Maxent species distribution model (Phillips et al., 2006) for red fox (Vulpes vulpes). Source: data provided by Dr. Tomás Murray, from National Biodiversity Data Centre (Ireland)
Figure 8
Figure 8
Ireland – sampling activity by regions
Figure 9
Figure 9
Ireland – temporal distribution of samples
Figure 10
Figure 10
Ireland – sampling activity and intensity by NUTS 3 region
Figure 11
Figure 11
Malta – sample distribution by locality
Figure 12
Figure 12
Malta – temporal distribution of samples
Figure 13
Figure 13
Malta – test sensitivity estimation based on Mathis et al. (1996)
Figure 14
Figure 14
Great Britain map estimating fox density in the UK. This is a systematic approach using NBN presence data and published density data and provides a confidence interval of 120–280,000 foxes. Some areas have few data as permission was not given to use the records. For more information, see Croft et al. (2017)
Figure 15
Figure 15
Great Britain geographical distribution of samples
Figure 16
Figure 16
Northern Ireland geographical distribution of samples
Figure 17
Figure 17
Great Britain – temporal distribution of samples
Figure 18
Figure 18
Northern Ireland temporal distribution of samples from NI
Figure 19
Figure 19
United Kingdom – sampling activity and intensity by NUTS 3 region
Figure 20
Figure 20
Norway – geographical distribution of samples in 2016
Figure 21
Figure 21
Norway – temporal distribution of samples in 2016
Figure 22
Figure 22
Norway Sampling activity and intensity by NUTS 3 region in 2016

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