Explaining the heterogeneous scrapie surveillance figures across Europe: a meta-regression approach

BMC Veterinary Research

Table 1 Survey data by country

Countries	r ^A	n ^A	r ^F	n ^F	LogOR	Variance	Adult sheep (000)	RepreFS	RepreAS	test
Belgium	0	2376	2	494	3.18	2.40	146	0.34	1.63	1
Denmark	0	871	0	1320	N/A	N/A	105	1.26	0.83	0.13
Germany	9	20107	13	48616	-0.52	0.19	2637	1.84	0.76	0.91
Greece	49	22564	13	780	2.04	0.10	9042	0.01	0.25	0.43
Spain	19	49921	8	12942	0.48	0.18	23045	0.06	0.22	-
France	46	44641	34	18955	0.55	0.05	8962	0.21	0.50	0.49
Ireland	9	51579	18	2830	3.60	0.17	5907	0.05	0.87	1
Italy	14	35260	13	5011	1.88	0.15	7952	0.06	0.44	0.12
Luxembourg	0	213	0	244	N/A	N/A	7	3.49	3.04	1
Netherlands	45	21095	6	3994	-0.35	0.19	1276	0.31	1.66	0
Austria	0	4225	0	3255	N/A	N/A	304	1.07	1.39	0
Portugal	6	10697	0	243	1.22	2.16	3411	0.01	0.31	1
Finland	0	1990	0	683	N/A	N/A	67	1.02	2.97	0.71
Sweden	2	5175	0	2849	-1.01	2.40	451	0.63	1.15	1
UK	45	72473	13	5113	1.41	0.10	24574	0.02	0.30	0.89
Chzech Rep	1	425	0	2528	-2.88	2.67	103	2.45	0.41	-
Slovakia	1	3923	1	213	2.91	2.00	325	0.07	1.21	-
Norway	5	33519	8	3359	2.77	0.33	928	0.36	3.61	1

r ^Fshows the number of positive samples from the fallen stock, r ^Ashows the number of positive samples from the abattoir survey, n ^Fshows the number of samples tested in the fallen stock and n ^Athe number of samples tested in the abattoir survey. LogOR (log (odds fallen stock/odds abattoir survey)), variance of the logOR (calculated as 1/r ^A+ 1/n ^A+ 1/r ^F+ 1/n ^F) with 0.5 continuity correction added to all denominators for those countries with one 0 in any of the columns (r ^F, r ^A, n ^F, n ^A), adult sheep population by country and country-specific covariates inputted into the meta-regression model: "repreFS" (proportion of the adult sheep population sampled by the FS), "repreAS" (proportion of the adult sheep population sampled by the AS) and "test" (proportion of ELISA tests over all samples tested). N/A under the logOR and variance headings show those countries with zero counts in both surveys.

ISSN: 1746-6148