Table 1 |
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Regions and statistics for the fox tape worm example. The 43 investigated regions in Lower Saxony with their co-ordinates (x, y), the number of red foxes tested (n) and found positive for E. multilocularis (m), the raw period prevalence in % (PP) and the empirical Bayes smoothed period prevalence in % (BPP). The regions no. 5, 8, 13, 14 and 15 form a previously identified disease cluster [4]. |
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Regions |
Statistics |
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|
|
|
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|
Nr. |
Name |
x |
y |
n |
m |
PP |
BPP |
|
|
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|
1 |
Braunschweig |
7,57 |
-4,30 |
25 |
1 |
4 |
6 |
|
2 |
Salzgitter & Wolfenbüttel |
7,47 |
-6,07 |
115 |
9 |
8 |
8 |
|
3 |
Wolfsburg |
9,33 |
-2,83 |
22 |
6 |
27 |
23 |
|
4 |
Gifhorn |
8,15 |
-1,37 |
158 |
13 |
8 |
8 |
|
5 |
Göttingen |
3,44 |
-12,92 |
157 |
84 |
54 |
51 |
|
6 |
Goslar |
6,68 |
-8,81 |
152 |
20 |
13 |
13 |
|
7 |
Helmstedt |
10,11 |
-4,30 |
66 |
7 |
11 |
10 |
|
8 |
Northeim |
2,86 |
-10,28 |
186 |
96 |
52 |
49 |
|
9 |
Osterode/Harz |
6,68 |
-11,07 |
94 |
23 |
24 |
23 |
|
10 |
Peine |
5,80 |
-4,11 |
115 |
10 |
9 |
9 |
|
11 |
Hannover |
2,17 |
-2,64 |
327 |
41 |
13 |
12 |
|
12 |
Diepholz |
-4,39 |
0,88 |
143 |
10 |
7 |
7 |
|
13 |
Hameln-Pyrmont |
-0,17 |
-6,36 |
99 |
41 |
41 |
39 |
|
14 |
Hildesheim |
3,74 |
-6,36 |
202 |
60 |
30 |
29 |
|
15 |
Holzminden |
1,19 |
-8,62 |
60 |
16 |
27 |
24 |
|
16 |
Nienburg/Weser |
-1,74 |
-0,58 |
325 |
20 |
6 |
6 |
|
17 |
Schaumburg |
-1,25 |
-4,11 |
90 |
12 |
13 |
13 |
|
18 |
Celle |
4,81 |
0,59 |
255 |
8 |
3 |
3 |
|
19 |
Cuxhaven |
-3,51 |
10,69 |
73 |
14 |
19 |
18 |
|
20 |
Harburg |
3,64 |
7,06 |
285 |
17 |
6 |
6 |
|
21 |
Lüchow-Dannenberg |
11,68 |
3,92 |
225 |
20 |
9 |
9 |
|
22 |
Lüneburg |
7,37 |
6,37 |
278 |
22 |
8 |
8 |
|
23 |
Qsterholz-Scharmbeck |
-3,80 |
6,57 |
32 |
8 |
25 |
22 |
|
24 |
Rothenburg/Wümme |
-0,17 |
6,47 |
114 |
6 |
5 |
5 |
|
25 |
Soltau-Fallingbostel |
2,46 |
2,84 |
137 |
8 |
6 |
6 |
|
26 |
Stade |
0,41 |
10,00 |
84 |
5 |
6 |
6 |
|
27 |
Uelzen |
7,76 |
3,53 |
214 |
14 |
7 |
6 |
|
28 |
Verden |
-1,45 |
3,44 |
107 |
11 |
10 |
10 |
|
29 |
Delmenhorst |
-4,88 |
4,31 |
8 |
1 |
13 |
12 |
|
30 |
Emden |
-14,74 |
8,19 |
4 |
0 |
0 |
9 |
|
31 |
Oldenburg |
-6,84 |
4,12 |
103 |
15 |
15 |
14 |
|
32 |
Osnabrück |
-9,19 |
-3,12 |
290 |
21 |
7 |
7 |
|
33 |
Wilhelmshaven |
-8,55 |
10,30 |
10 |
0 |
0 |
6 |
|
34 |
Ammerland |
-8,99 |
6,28 |
76 |
4 |
5 |
6 |
|
35 |
Aurich |
-13,11 |
9,42 |
111 |
15 |
14 |
13 |
|
36 |
Cloppenburg |
-9,78 |
2,84 |
110 |
8 |
7 |
7 |
|
37 |
Emsland |
-13,60 |
1,07 |
242 |
21 |
9 |
8 |
|
38 |
Friesland |
-9,10 |
9,32 |
15 |
1 |
7 |
9 |
|
39 |
Bentheim |
-15,95 |
-1,46 |
36 |
1 |
3 |
4 |
|
40 |
Leer |
-12,42 |
6,67 |
39 |
2 |
5 |
6 |
|
41 |
Vechta |
-8,12 |
0,20 |
83 |
2 |
2 |
3 |
|
42 |
Wesermarsch |
-6,54 |
7,55 |
45 |
9 |
20 |
18 |
|
43 |
Wittmund |
-10,76 |
10,10 |
53 |
4 |
8 |
8 |
|
Sum |
5365 |
706 |
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|
Median (in %) |
8,2 |
9,0 |
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|
Berke International Journal of Health Geographics 2004 3:18 doi:10.1186/1476-072X-3-18 |
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