Table S1. Comparison between each data point and the posterior mean estimates, for each of

Size: px
Start display at page:

Download "Table S1. Comparison between each data point and the posterior mean estimates, for each of"

Transcription

1 Table S1. Comparison between each point and the posterior mean estimates, for each of Risk group size % Males models M1 to M4. The posterior mean deviance is shown in parentheses Data Baseline model Revised NSHPC correction correction + Hierarchical structure Current IL (1) 4.03 (0.9) 4.13 (0.9) 4.14 (0.9) Homosexual OL (1) 0.78 (0.9) 0.80 (1) 0.80 (0.9) GUM attenders REW (1) 0.81 (1) 0.81 (1) 0.80 (1) Current IL (1) 3.60 (0.9) 3.62 (1) 3.62 (1) Homosexuals OL (1) 3.42 (1) 3.44 (1) 3.43 (1) not GUM attenders REW (1) 1.41 (1) 1.41 (1) 1.41 (1) Past Homosexuals IL (1)p 1.15 (1) 1.15 (1.1) 1.16 (1.1) OL (1) 1.35 (1) 1.36 (1) 1.36 (1) REW (1) 0.39 (1) 0.39 (1) 0.39 (1) Current IL (1.4) 0.69 (1.4) 0.69 (1.4) 0.80 (0.8) IDUs OL (2.9) 0.49 (2.9) 0.50 (2.9) 0.57 (1.9) REW (1) 1.25 (1) 1.26 (1) 1.24 (0.9) Past IL (1.7) 0.63 (1.7) 0.64 (1.7) 1.20 (0.9) IDUs OL (2.1) 0.27 (2.1) 0.27 (2.1) 0.67 (0.9) REW (1) 0.69 (1) 0.69 (1) 0.67 (1) GUM IL (1) (1) (1) (0.8) OL (1) 7.38 (1) 7.41 (1) 7.52 (0.9) REW (1) 5.02 (1) 5.02 (1) 5.09 (1) SSA IL (1) 8.32 (1) 8.32 (1) 8.32 (1) OL (1) 6.59 (1) 6.59 (1) 6.59 (1) REW (1) 1.03 (1) 1.03 (1) 1.03 (1) Females Current IL (0.7) 0.40 (0.6) 0.37 (0.6) 0.31 (0.3) IDUs OL (0.7) 0.39 (0.7) 0.39 (0.7) 0.20 (0.7) REW (0.9) 0.38 (0.9) 0.38 (0.9) 0.40 (0.9) Past IL (0.6) 0.51 (0.7) 0.53 (0.6) 0.69 (0.8) IDUs OL (0.7) 0.31 (0.7) 0.32 (0.7) 0.36 (0.8) REW (0.9) 0.20 (0.9) 0.20 (0.9) 0.21 (0.9) GUM attenders IL (0.9) (0.9) (1.2) 10.9 (1.1) OL (1) 7.48 (1) 7.28 (1) 7.29 (0.8) REW (1) 5.50 (1) 5.49 (1) 5.44 (1) SSA IL (1.1) 9.21 (1) 9.21 (1) 9.21 (1) OL (1) 7.20 (1) 7.20 (1) 7.20 (1) REW (1) 1.03 (1) 1.03 (1) 1.03 (1) 1

2 Data Baseline model Revised NSHPC correction correction + Hierarchical structure Seroprevalence % Current Male IDUs IL (3.5) 3.3 (3.4) 3.3 (3.4) 4.5 (1.4) OL (6.2) 1.96 (6.1) 1.95 (6.2) 2.13 (5.1) REW (0.1) 0.26 (0.1) 0.26 (0.1) 0.29 (0.6) Current Female IL (0.7) 3.49 (0.7) 3.41 (0.7) 5.55 (0.3) IDUs OL (0.5) 0.86 (0.5) 0.87 (0.5) 2.64 (0.7) REW (0.1) 0.41 (0.1) 0.42 (0.1) 0.36 (0.3) Female SSA IL (34) 3.51 (18.2) 2.43 (0.6) 2.49 (0.6) OL (18.2) 3.02 (8.5) 2.11 (1.2) 2.15 (0.9) REW (11.6) 2.59 (7.1) 1.67 (0.4) 1.72 (0.5) Female IL (7.5) 0.14 (6) 0.14 (4.7) 0.14 (4.9) non-ssa OL (1.3) 0.07 (0.6) 0.06 (0.4) 0.06 (0.4) REW (1.2) 0.02 (0.3) 0.02 (0.4) 0.02 (0.5) All Females IL (4.2) 0.45 (1.5) 0.43 (0.8) 0.43 (0.7) Prevalence of undiagnosed HIV % OL (1.8) 0.28 (0.4) 0.27 (0.3) 0.26 (0.2) REW (10.7) 0.05 (3.7) 0.04 (0.9) 0.04 (0.9) Homosexuals IL (1) 4.68 (1) 4.68 (1) 4.67 (1) GUM attenders OL (0.8) 4.01 (0.8) 4.05 (0.8) 4.11 (0.8) REW (1) 1.64 (1) 1.64 (1) 1.63 (1) Male IL (1) 0.49 (1) 0.49 (1) 0.43 (1) GUM attenders OL (0.9) 0.21 (0.9) 0.22 (0.9) 0.26 (0.7) REW (1) 0.08 (1) 0.08 (1) 0.08 (0.6) Female IL (0.9) 0.33 (0.9) 0.30 (1.4) 0.33 (0.8) GUM attenders OL (1) 0.26 (0.9) 0.25 (0.7) 0.20 (0.4) REW (1) 0.06 (1.1) 0.06 (1) 0.06 (0.6) Proportion reported diagnosed % Male Current Il (1.1) 68 (1.1) 68 (1.1) 66 (1.6) IDUs OL (1.1) 51 (1.1) 51 (1.1) 56 (1.3) REW (1) 51 (1) 51 (1) 51 (1) Female Il (1) 59 (1) 60 (0.9) 70 (2.3) Current OL (1) 72 (1) 72 (1) 63 (3.5) IDUs REW (1) 56 (1) 56 (1) 57 (0.9) Female SSA IL 40, (28.9) 68 (8.8) 59 (0.9) 59 (0.9) OL 30, (23.7) 58 (7) 45 (1) 45 (1) REW 13, (32.9) 45 (9.6) 33 (1.1) 32 (1) Female IL 36, (6.5) 57 (2.8) 46 (0.6) 44 (0.6) not- SSA OL 27, (2.6) 44 (1.1) 35 (0.6) 35 (0.6) REW 26, (6.8) 47 (2.8) 39 (0.8) 39 (0.8) 2

3 Data Baseline model Revised NSHPC correction correction + Hierarchical structure SOPHID Males Fraction of cases, % Homosexual IL (1) 80 (1) 80 (1) 81 (0.9) OL (1) 57 (1) 57 (1) 57 (1) REW (1) 71 (1) 71 (1) 71 (0.9) IDUs IL (1.1) 15 (1.1) 15 (1.1) 15 (1) OL 8 8 (1.4) 8 (1.4) 8 (1.4) 8 (1.1) REW (1) 17 (1) 17 (1) 17 (1) SSA IL (1) 68 (1) 68 (1) 68 (1) OL (1) 70 (1) 70 (1) 70 (0.9) REW (1) 37 (1) 37 (1) 37 (0.9) Total cases, counts IL (1) 6243 (1) 6243 (1) 6237 (1) OL (1) 1798 (1) 1797 (1) 1800 (1) REW (1) 5056 (1) 5056 (1) 5055 (1) Females Fraction of cases, % SSA IL 6 6 (1.1) 6 (1) 6 (1) 6 (1) OL (1.1) 2 (1) 2 (1) 2 (1) REW 6 6 (1) 6 (1) 6 (1) 6 (1) IDUs IL (1.2) 79 (1) 80 (1) 80 (1) OL (1.1) 84 (1) 84 (1) 84 (0.9) REW (1.3) 56 (1.1) 56 (1) 56 (1) Total cases, counts IL (6.5) 2014 (3.5) 2078 (1) 2079 (0.9) OL (3.5) 1407 (1.8) 1452 (1) 1446 (0.9) REW (2.8) 1843 (1.6) 1872 (1) 1873 (0.9) NOTE. IL: Inner London, OL: Outer London and REW: Rest of England and Wales 3

4 Table S2. Posterior mean (standard deviation) of risk group size, prevalence, prevalence of undiagnosed infection and probability of diagnosis. Baseline model correction correction + Group size, % Males Male Homosexuals IL 8.8 (1.6) 8.78 (1.53) 8.90 (1.59) 8.92 (1.58) OL 5.6 (1.1) 5.56 (1.06) 5.60 (1.05) 5.59 (1.05) REW 2.6 (0.2) 2.60 (0.25) 2.60 (0.25) 2.59 (0.24) Current IL 4.1 (1.1) 4.03 (1.03) 4.13 (1.08) 4.14 (1.06) Homosexual OL 0.8 (0.4) 0.78 (0.39) 0.80 (0.41) 0.80 (0.39) GUM attenders REW 0.8 (0.1) 0.81 (0.14) 0.81 (0.14) 0.80 (0.14) Current IL 3.6 (1) 3.60 (0.98) 3.62 (1.02) 3.62 (1.02) Homosexuals OL 3.5 (0.8) 3.42 (0.83) 3.44 (0.82) 3.43 (0.82) not GUM attenders REW 1.4 (0.2) 1.41 (0.18) 1.41 (0.18) 1.41 (0.18) Past IL 1.2 (0.6) 1.15 (0.58) 1.15 (0.59) 1.16 (0.59) Homosexuals OL 1.4 (0.5) 1.35 (0.52) 1.36 (0.53) 1.36 (0.53) REW 0.4 (0.1) 0.39 (0.09) 0.39 (0.09) 0.39 (0.09) All IDUs IL 1.3 (0.5) 1.33 (0.47) 1.33 (0.47) 2.00 (0.62) OL 0.8 (0.3) 0.76 (0.31) 0.77 (0.31) 1.24 (0.41) REW 1.9 (0.2) 1.94 (0.21) 1.95 (0.21) 1.92 (0.2) Current IL 0.7 (0.3) 0.69 (0.34) 0.69 (0.33) 0.80 (0.29) IDUs OL 0.5 (0.2) 0.49 (0.23) 0.50 (0.24) 0.57 (0.22) REW 1.3 (0.2) 1.25 (0.17) 1.26 (0.17) 1.24 (0.16) Past IL 0.6 (0.3) 0.63 (0.31) 0.64 (0.31) 1.20 (0.58) IDUs OL 0.3 (0.2) 0.27 (0.16) 0.27 (0.16) 0.67 (0.36) REW 0.7 (0.1) 0.69 (0.12) 0.69 (0.13) 0.67 (0.12) GUM IL 10.2 (1.7) (1.63) (1.66) (1.49) attenders OL 7.4 (1.2) 7.38 (1.18) 7.41 (1.18) 7.52 (1.13) REW 5.0 (0.3) 5.02 (0.33) 5.02 (0.33) 5.09 (0.33) SSA IL 8.3 (0.03) 8.32 (0.032) (0.88) (0.89) OL 6.6 (0.03) 6.59 (0.025) 9.32 (0.72) 8.99 (0.72) REW 1.0 (3) 1.03 (3) 1.50 (0.13) 1.44 (0.13) Females All IDUs IL 0.9 (0.4) 0.91 (0.44) 0.89 (0.43) 1.00 (0.42) OL 0.7 (0.4) 0.70 (0.36) 0.71 (0.37) 0.56 (0.27) REW 0.6 (0.1) 0.58 (0.11) 0.58 (0.11) 0.61 (0.11) Current IL 0.4 (0.3) 0.40 (0.29) 0.37 (0.27) 0.31 (0.16) IDUs OL 0.4 (0.3) 0.39 (0.26) 0.39 (0.26) 0.20 (0.1) REW 0.4 (0.1) 0.38 (0.09) 0.38 (0.09) 0.40 (0.09) Past IL 0.5 (0.3) 0.51 (0.33) 0.53 (0.32) 0.69 (0.42) IDUs OL 0.3 (0.2) 0.31 (0.23) 0.32 (0.23) 0.36 (0.26) REW 0.2 (0.1) 0.20 (0.07) 0.20 (0.07) 0.21 (0.07) 4

5 Baseline model correction correction + GUM IL 12.0 (1.7) (1.7) (1.63) (1.46) attenders OL 7.5 (1.2) 7.48 (1.23) 7.28 (1.21) 7.29 (1.11) REW 5.5 (0.4) 5.50 (0.36) 5.49 (0.36) 5.44 (0.35) SSA IL 9.2 (0.03) 9.21 (0.033) (0.95) (0.96) OL 7.2 (0.03) 7.20 (0.026) (0.77) 9.79 (0.78) REW 1.0 (3) 1.03 (3) 1.49 (0.13) 1.44 (0.13) Prevalence, % Male Homosexuals IL 12.2 (1.8) 12.2 (1.7) 12.2 (1.7) 12.2 (1.7) OL 3.9 (1.3) 3.9 (1.2) 3.9 (1.2) 4.0 (1.2) REW 2.7 (0.3) 2.7 (0.3) 2.7 (0.3) 2.7 (0.3) Current IL 15.8 (7.5) 15.9 (7.3) 14.9 (7) 15.2 (7.3) Homosexual OL 14.4 (9.4) 14.2 (9.7) 14.0 (9.6) 13.6 (7.8) GUM attenders REW 4.4 (1.9) 4.4 (1.8) 4.4 (1.9) 4.7 (1.9) Current IL 11.7 (7.8) 11.8 (7.7) 12.8 (8.1) 12.1 (8.2) Homosexuals OL 3.0 (1.8) 3.1 (1.8) 3.0 (1.8) 3.1 (1.8) not GUM attenders REW 2.3 (1) 2.3 (1.1) 2.2 (1.1) 2.1 (1.1) Past IL 3.5 (10.1) 2.8 (7.2) 2.97 (7.27) 4.09 (11.67) Homosexuals OL 1.4 (1.6) 1.3 (1.6) 1.48 (1.91) 1.39 (1.61) REW 0.6 (0.9) 0.7 (1.1) 0.72 (1.12) 0.64 (0.88) All IL 3.3 (1.1) 3.32 (1.18) 3.33 (1.16) 2.31 (0.74) IDUs OL 2.0 (0.8) 1.96 (0.78) 1.95 (0.78) 1.10 (0.39) REW 0.3 (0.04) 0.26 (0.04) 0.26 (0.04) 0.28 (0.04) Current IL 3.3 (1.1) 3.32 (1.18) 3.33 (1.16) 4.49 (1.37) IDUs OL 2.0 (0.8) 1.96 (0.78) 1.95 (0.78) 2.13 (0.77) REW 0.3 (0) 0.26 (0.04) 0.26 (0.04) 0.29 (0.09) Past IL 3.3 (1.1) 3.32 (1.18) 3.33 (1.16) 0.86 (0.76) IDUs OL 2.0 (0.8) 1.96 (0.78) 1.95 (0.78) 0.26 (0.29) REW 0.3 (0) 0.3 (0.04) 0.26 (0.04) 0.3 (0.14) GUM IL 0.9 (0.2) 0.9 (0.18) 0.92 (0.17) 0.78 (0.18) attenders OL 0.4 (0.2) 0.4 (0.18) 0.46 (0.18) 0.45 (0.16) REW 0.2 (0.1) 0.2 (0.06) 0.20 (0.06) 0.18 (0.07) SSA IL 2.9 (0.2) 2.4 (0.14) 1.56 (0.13) 1.41 (0.16) OL 2.5 (0.2) 2.1 (0.16) 1.41 (0.14) 1.19 (0.17) REW 2.4 (0.3) 2.0 (0.21) 1.22 (0.16) 0.95 (0.16) Low Risk IL 0.04 (0.029) (0.025) OL 0.04 (0.02) (0.018) (0.02) (0.025) (0.015) (0.017) 5

6 Baseline model correction correction + REW 0.02 (5) (4) 8 (5) (6) Female All IDUs IL 3.5 (1.8) 3.5 (1.83) 3.41 (1.76) 2.8 (1.15) OL 0.9 (0.5) 0.9 (0.53) 0.87 (0.55) 1.2 (0.6) REW 0.4 (0.1) 0.4 (0.09) 0.42 (0.1) 0.4 (0.08) Current IL 3.5 (1.8) 3.49 (1.83) 3.41 (1.76) 5.55 (1.88) IDUs OL 0.9 (0.5) 0.86 (0.53) 0.87 (0.55) 2.64 (1.04) REW 0.4 (0.1) 0.41 (0.09) 0.42 (0.1) 0.36 (0.13) Past IL 3.5 (1.8) 3.49 (1.83) 3.41 (1.76) 1.41 (1.29) IDUs OL 0.9 (0.5) 0.86 (0.53) 0.87 (0.55) 0.43 (0.54) REW 0.4 (0.1) 0.41 (0.09) 0.42 (0.1) 0.43 (0.27) GUM IL 0.6 (0.2) 0.63 (0.18) 0.65 (0.19) 0.68 (0.17) attenders OL 0.4 (0.2) 0.44 (0.17) 0.45 (0.17) 0.39 (0.14) REW 0.1 (0.1) 0.14 (0.06) 0.16 (0.06) 0.16 (0.06) SSA IL 4.0 (0.2) 3.51 (0.14) 2.43 (0.16) 2.49 (0.17) OL 3.4 (0.2) 3.02 (0.16) 2.11 (0.16) 2.15 (0.16) REW 2.9 (0.3) 2.59 (0.21) 1.67 (0.18) 1.72 (0.18) Low Risk IL 0.05 (0.03) 0.04 (0.027) (0.026) (0.024) OL 0.04 (0.019) 0.03 (0.016) (0.014) (0.014) REW 0.02 (5) 0.01 (4) 9 (4) (4) Prevalence Undiagnosed HIV, % Male Homosexuals IL 3.15 (0.49) 3.15 (0.48) 3.17 (0.48) 3.16 (0.48) OL 1.76 (1.15) 1.70 (1.1) 1.74 (1.12) 1.76 (1.14) REW 0.92 (0.25) 0.92 (0.25) 0.91 (0.24) 0.91 (0.25) Current IL 4.68 (0.49) 4.68 (0.49) 4.68 (0.49) 4.67 (0.49) Homosexual OL 4.07 (2.34) 4.01 (2.31) 4.05 (2.35) 4.11 (2.34) GUM attenders REW 1.64 (0.32) 1.64 (0.32) 1.64 (0.32) 1.63 (0.32) Current IL 2.29 (0.59) 2.29 (0.58) 2.29 (0.59) 2.28 (0.57) Homosexuals OL 1.75 (1.3) 1.69 (1.23) 1.71 (1.24) 1.74 (1.29) not GUM attenders REW 0.71 (0.33) 0.70 (0.34) 0.70 (0.32) 0.70 (0.33) Past IL 0.50 (0.13) 0.50 (0.12) 0.50 (0.12) 0.50 (0.12) Homosexuals OL 0.44 (0.28) 0.43 (0.28) 0.44 (0.29) 0.44 (0.29) REW 0.17 (0.05) 0.17 (0.05) 0.17 (0.05) 0.17 (0.05) All IDUs IL 0.84 (0.38) 0.86 (0.39) 0.86 (0.39) 0.72 (0.27) OL 0.84 (0.38) 0.84 (0.37) 0.83 (0.38) 0.47 (0.18) REW 0.11 (0.03) 0.11 (0.03) 0.11 (0.03) 0.12 (0.03) Current IL 1.05 (0.4) 1.06 (0.41) 1.06 (0.41) 1.55 (0.51) IDUs OL 0.96 (0.4) 0.95 (0.4) 0.95 (0.4) 0.95 (0.36) 6

7 Baseline model correction correction + REW 0.13 (0.02) 0.13 (0.02) 0.13 (0.02) 0.14 (0.05) Past IL 0.61 (0.41) 0.63 (0.42) 0.62 (0.42) 0.16 (0.2) IDUs OL 0.61 (0.39) 0.61 (0.39) 0.61 (0.39) 0.06 (0.1) REW 0.07 (0.04) 0.07 (0.04) 0.07 (0.04) 0.08 (0.07) GUM IL 0.49 (0.09) 0.49 (0.09) 0.49 (0.09) 0.43 (0.07) attenders OL 0.21 (0.13) 0.21 (0.13) 0.22 (0.13) 0.26 (0.1) REW 0.08 (0.02) 0.08 (0.02) 0.08 (0.02) 0.08 (0.02) SSA IL 1.62 (0.16) 1.12 (0.13) 0.62 (0.11) 0.45 (0.14) OL 1.70 (0.18) 1.26 (0.15) 0.80 (0.14) 0.55 (0.16) REW 1.82 (0.28) 1.43 (0.2) 0.84 (0.15) 0.56 (0.15) Low Risk IL 0.02 (0.016) (0.011) Female OL 0.03 (0.015) (0.012) 0.01 REW 2 (4) 9 (3) 7 (7) 7 (8) (8) (0.011) 5 (2) 5 (3) All IDUs IL 1.12 (0.74) 1.08 (0.73) 0.94 (0.64) 0.68 (0.36) OL 0.19 (0.14) 0.19 (0.14) 0.19 (0.15) 0.42 (0.23) REW 0.15 (0.05) 0.15 (0.05) 0.16 (0.05) 0.14 (0.04) Current IL 1.46 (0.83) 1.45 (0.84) 1.36 (0.77) 1.66 (0.62) IDUs OL 0.24 (0.16) 0.24 (0.16) 0.24 (0.17) 0.98 (0.41) REW 0.18 (0.04) 0.18 (0.04) 0.18 (0.04) 0.16 (0.06) Past IL 0.82 (0.7) 0.79 (0.69) 0.64 (0.6) 0.20 (0.26) IDUs OL 0.13 (0.12) 0.13 (0.12) 0.13 (0.13) 0.09 (0.14) REW 0.10 (0.06) 0.10 (0.06) 0.10 (0.06) 0.10 (0.1) GUM IL 0.34 (0.07) 0.33 (0.06) 0.30 (0.06) 0.33 (0.05) attenders OL 0.26 (0.12) 0.26 (0.11) 0.25 (0.1) 0.20 (0.08) REW 0.06 (0.02) 0.06 (0.02) 0.06 (0.02) 0.06 (0.02) SSA IL 1.62 (0.16) 1.12 (0.13) 0.62 (0.11) 0.62 (0.11) OL 1.70 (0.18) 1.26 (0.15) 0.80 (0.14) 0.80 (0.14) REW 1.82 (0.28) 1.43 (0.2) 0.84 (0.15) 0.86 (0.16) Low Risk IL 0.02 (0.016) (0.011) 7 (7) 6 (6) OL 0.03 (0.015) (0.012) (8) (9) REW 0.01 (4) 9 (3) 5 (2) 5 (2) Proportion diagnosed, % Male Homosexuals IL 74 (5) 74 (4) 74 (4) 74 (4) OL 59 (15) 60 (15) 59 (14) 59 (15) REW 66 (6) 66 (6) 66 (6) 66 (6) Current IL 62 (21) 62 (21) 60 (22) 60 (22) Homosexual OL 63 (24) 62 (25) 62 (24) 62 (24) 7

8 Baseline model correction correction + GUM attenders REW 56 (21) 55 (21) 55 (22) 58 (21) Current IL 68 (24) 68 (24) 71 (23) 68 (24) Homosexuals OL 39 (23) 42 (24) 41 (23) 41 (23) not GUM attenders REW 61 (22) 62 (22) 61 (23) 59 (23) Past IL 50 (29) 50 (29) 50 (29) 52 (30) Homosexuals OL 48 (28) 48 (28) 49 (28) 48 (28) REW 49 (28) 49 (28) 50 (29) 49 (28) IDUs IL 74 (6) 74 (6) 75 (6) 69 (5) OL 57 (6) 57 (6) 58 (6) 58 (5) REW 60 (5) 60 (5) 60 (5) 58 (6) Current IL 68 (4) 68 (4) 68 (4) 66 (4) IDUs OL 51 (4) 51 (4) 51 (4) 56 (4) REW 51 (1) 51 (1) 51 (1) 51 (1) Past IL 82 (9) 81 (9) 82 (10) 82 (10) IDUs OL 69 (14) 69 (14) 69 (14) 77 (13) REW 75 (14) 75 (14) 75 (14) 73 (14) GUM IL 41 (13) 43 (13) 46 (11) 42 (14) attenders OL 47 (21) 49 (20) 53 (19) 40 (17) REW 49 (20) 51 (20) 57 (18) 50 (21) SSA IL 44 (3) 54 (3) 60 (5) 69 (7) OL 33 (3) 40 (3) 44 (5) 55 (7) REW 23 (3) 28 (3) 31 (4) 42 (7) Low Risk IL 43 (25) 46 (26) 49 (27) 69 (26) OL 35 (21) 38 (22) 44 (25) 50 (25) REW 29 (15) 33 (17) 41 (22) 42 (22) Female IDUs IL 69 (10) 70 (10) 73 (9) 76 (6) OL 78 (7) 78 (7) 78 (7) 67 (6) REW 63 (5) 63 (5) 63 (5) 65 (7) Current IDUs IL 59 (7) 59 (7) 60 (7) 70 (4) OL 72 (6) 72 (6) 72 (5) 63 (4) REW 56 (2) 56 (2) 56 (2) 57 (2) Past IL 77 (13) 78 (13) 82 (12) 86 (9) IDUs OL 86 (9) 86 (9) 86 (9) 81 (11) REW 77 (13) 77 (13) 77 (13) 78 (12) GUM IL 41 (17) 44 (17) 50 (17) 49 (15) attenders OL 37 (18) 38 (18) 42 (18) 45 (18) REW 47 (21) 50 (21) 53 (20) 55 (21) SSA IL 59 (2) 68 (2) 74 (4) 75 (4) OL 50 (3) 58 (3) 62 (5) 63 (5) REW 39 (4) 45 (4) 50 (5) 50 (5) 8

9 Baseline model correction correction + Low Risk IL 58 (25) 62 (26) 71 (25) 73 (25) OL 38 (22) 44 (23) 56 (26) 55 (25) REW 31 (15) 36 (17) 49 (22) 47 (23) 9

10 Table S3. Posterior means (standard deviation) of Ssupplementary parameters, ν, λ, α, ε Priors Baseline NSHPC Adjusted Both SSA corrections correction + Hierarchical structure Overall SOPHID incompleteness, ν (%) ν ~ Beta(183.9,1487.7) 9.8 (0.7) 10.2 (0.7) 11.1 (0.8) 11.1 (0.8) LOR of effective proportion diagnosed to reported diagnosed (sd), λ Log(λ) ~ Normal(0,10000) 0.73 (0.16) 0.75 (0.17) LOR effective to Census estimate Size (sd), ε Log(ε) ~ Normal(0,10000) 0.37 (0.08) 0.33 (0.09) 10

21/02/2018. How Far is it Acceptable to Walk? Introduction. How Far is it Acceptable to Walk?

21/02/2018. How Far is it Acceptable to Walk? Introduction. How Far is it Acceptable to Walk? 21/2/218 Introduction Walking is an important mode of travel. How far people walk is factor in: Accessibility/ Sustainability. Allocating land in Local Plans. Determining planning applications. Previous

More information

Status Report on the Yellowstone Bison Population, September 2017 Chris Geremia, Rick Wallen, and P.J. White 1

Status Report on the Yellowstone Bison Population, September 2017 Chris Geremia, Rick Wallen, and P.J. White 1 Summary Status Report on the Yellowstone Bison Population, September 2017 Chris Geremia, Rick Wallen, and P.J. White 1 The aerial count of bison on August 4-5, 2017 was 4,816, including 3,969 in northern

More information

College/high school median annual earnings gap,

College/high school median annual earnings gap, College/high school median annual earnings gap, 1979 2012 In constant 2012 dollars 70,000 dollars Household gap $30,298 to $58,249 60,000 50,000 40,000 Male gap $17,411 to $34,969 30,000 20,000 10,000

More information

2011 Census Snapshot: Method of Travel to work in London

2011 Census Snapshot: Method of Travel to work in London CIS 2014-06 2011 Census Snapshot: Method of Travel to work in London March 2014 Introduction On 26 th of March 2014, the Office for National Statistics (ONS) published a series of tables looking at the

More information

Figure 1a. Top 1% income share: China vs USA vs France

Figure 1a. Top 1% income share: China vs USA vs France 22% 20% 18% 16% Figure 1a. Top 1% income share: China vs USA vs China USA 14% 12% 10% 8% 6% 4% 1978 1982 1986 1990 1994 1998 2002 2006 2010 2014 Distribution of pretax national income (before taxes and

More information

Population Dynamics and Adaptive Management of Yellowstone Bison

Population Dynamics and Adaptive Management of Yellowstone Bison August 1, 2015 Population Dynamics and Adaptive Management of Yellowstone Bison Chris Geremia, Rick Wallen, and P.J. White, Yellowstone National Park Executive Summary During June and July 2015, up to

More information

European Golf Statistics 2017

European Golf Statistics 2017 European Golf Statistics 2017 Leading the Business of Golf Photo by Aidan Bradley Distribution of registered golfers over the last year: Male golfers: 66% Female golfers: 25% Junior golfers: 9% Total number

More information

SUPPLEMENTARY APPENDIX. Ary Serpa Neto MD MSc, Fabienne D Simonis MD, Carmen SV Barbas MD PhD, Michelle Biehl MD, Rogier M Determann MD PhD, Jonathan

SUPPLEMENTARY APPENDIX. Ary Serpa Neto MD MSc, Fabienne D Simonis MD, Carmen SV Barbas MD PhD, Michelle Biehl MD, Rogier M Determann MD PhD, Jonathan 1 LUNG PROTECTIVE VENTILATION WITH LOW TIDAL VOLUMES AND THE OCCURRENCE OF PULMONARY COMPLICATIONS IN PATIENTS WITHOUT ARDS: a systematic review and individual patient data metaanalysis SUPPLEMENTARY APPENDIX

More information

Regulated hunting re-shapes the life history of brown bears

Regulated hunting re-shapes the life history of brown bears SUPPLEMENTARY INFORMATION Articles https://doi.org/10.1038/s41559-017-0400-7 In the format provided by the authors and unedited. Regulated hunting re-shapes the life history of brown bears Richard Bischof

More information

Cycling to work in London, 2011

Cycling to work in London, 2011 CIS2014-11 Cycling to work in London, 2011 September 2014 Introduction A key mayoral priority is to maximise the cycling potential in all areas of the city by encouraging more people to cycle in London,

More information

1 Teaching Objective(s) *Lesson plan designed for1-2 days Mississippi Mathematics Framework The student will: 2 Instructional Activities

1 Teaching Objective(s) *Lesson plan designed for1-2 days Mississippi Mathematics Framework The student will: 2 Instructional Activities ! "# $!%& 1 Teaching Objective(s) *Lesson plan designed for1-2 days Mississippi Mathematics Framework 2000-2005 The student will: 4a. write ratios comparing given data 4c. solve proportions 2 Instructional

More information

School of Social and Community Medicine, University of Bristol Division of Global Public Health, UC San Diego

School of Social and Community Medicine, University of Bristol Division of Global Public Health, UC San Diego This work was partially supported through a research grant from Gilead Sciences. Gilead had no influence on the design, analysis and content of the study Presentation based on work by Peter Vickerman,

More information

Smoothing the histogram: The Normal Curve (Chapter 8)

Smoothing the histogram: The Normal Curve (Chapter 8) Sept. 3 Statistic for the day: Compared to same month the previous year, average monthly drop in U.S. traffic fatalities from May 27 to Feb. 28:.2% Drop in March 28: 22.1% Drop in April 28: 17.9% Smoothing

More information

Research. 20mph survey. Drivers opinions of 20mph speed limits

Research. 20mph survey. Drivers opinions of 20mph speed limits Research 20mph survey Drivers opinions of 20mph speed limits About the IAM The IAM (Institute of Advanced Motorists) is the UK s largest independent road safety charity, dedicated to improving standards

More information

SEASON FINAL REGISTRATION REPORTS

SEASON FINAL REGISTRATION REPORTS Materials Included: 2015-2016 SEASON FINAL REGISTRATION REPORTS 2014-15 & 2015-16 Comparison by Group 2 2015-16 USA Hockey Member Counts 3 2015-16 8 and Under Report 4 2015-16 Players & Girls/Women by

More information

Building a Healthy Boston. BOSTON PUBLIC HEALTH COMMISSION Infectious Disease Bureau Communicable Disease Control Division

Building a Healthy Boston. BOSTON PUBLIC HEALTH COMMISSION Infectious Disease Bureau Communicable Disease Control Division BOSTON PUBLIC HEALTH COMMISSION Infectious Disease Bureau Communicable Disease Control Division Number of cases 200 180 160 140 120 100 80 60 40 93 87 79 89 77 82 75 67 64 70 57 61 49 61 57 58 44 41 40

More information

Table 9 and 10 present the norms by gender and by age group, respectively. As can be

Table 9 and 10 present the norms by gender and by age group, respectively. As can be Table 9 and 10 present the norms by gender and by age group, respectively. As can be seen from Table 9, male and female participants were very similar in their reported levels of psychological well-being

More information

Long-term consequence of injury on self-rated health

Long-term consequence of injury on self-rated health Long-term consequence of injury on self-rated health Bjarne Laursen SAFETY2010, London September 23, 2010 Bjarne Laursen, Hanne Møller, Anne Mette Hornbek Toft National Institute of Public Health Background

More information

Lewisham Pharmaceutical Needs Assessment Appendix B - Lewisham The Place

Lewisham Pharmaceutical Needs Assessment Appendix B - Lewisham The Place Lewisham Pharmaceutical Needs Assessment 2018 Appendix B - Lewisham The Place Lewisham is the 13 th largest borough in London by population size and the 5 th largest in Southwark Inner London Source: MYE

More information

Chapter 11 TONGUE (ICD-10: C01-C02) years 2004 to 2006 is given in Table 11.1(a). Cancer of the tongue was among the five leading sites in all

Chapter 11 TONGUE (ICD-10: C01-C02) years 2004 to 2006 is given in Table 11.1(a). Cancer of the tongue was among the five leading sites in all Chapter 11 TONGUE (ICD-10: C01-C02) The total number, relative proportion and rank of cancer of tongue in males and females for the years 2004 to 2006 is given in Table 11.1(a). Cancer of the tongue was

More information

A Profile of Plaistow South Big Local Area

A Profile of Plaistow South Big Local Area A Profile of Plaistow South Big Local Area DRAFT2 GENERAL DESCRIPTION Plaistow South Big Local is situated in the London Borough of Newham, in east London. It is comprised of 5 of the 8 Local Super Output

More information

Why so blue? The determinants of color pattern in killifish, Part II Featured scientist: Becky Fuller from The University of Illinois

Why so blue? The determinants of color pattern in killifish, Part II Featured scientist: Becky Fuller from The University of Illinois Why so blue? The determinants of color pattern in killifish, Part II Featured scientist: Becky Fuller from The University of Illinois In Part 1, you examined the effects of genetics and environment on

More information

Department for Transport

Department for Transport Improving UK evidence on health and environmental (low carbon) behaviours John Cummings Department for Transport 4 th November, 2015 CYCLING AND WALKING POLICY TEAM, OFFICIAL, 1st DRAFT 1 Walking and cycling

More information

Figure 39. Yearly Trend in Death Rates for Drowning: NSW, Year

Figure 39. Yearly Trend in Death Rates for Drowning: NSW, Year 10.0 DROWNING 10.1 Deaths due to Drowning: The drowning death rate showed a statistically significant decrease between 199 and 1999 (Figure 39). Between 199 and 1999, 46 people died from drowning, at a

More information

Football. English for THE GAMES

Football. English for THE GAMES English for THE GAMES Football When athletes come together from around the world to compete in the Olympic and Paralympic Games, they are fulfilling their dreams and competing at the highest level. Billions

More information

(Under the Direction of Cheolwoo Park) ABSTRACT. Major League Baseball is a sport complete with a multitude of statistics to evaluate a player s

(Under the Direction of Cheolwoo Park) ABSTRACT. Major League Baseball is a sport complete with a multitude of statistics to evaluate a player s PENALIZED REGRESSION MODELS FOR MAJOR LEAGUE BASEBALL METRICS by MUSHIMIE LONA PANDA (Under the Direction of Cheolwoo Park) ABSTRACT Major League Baseball is a sport complete with a multitude of statistics

More information

Self-declaration by New Zealand of its status of freedom from Equine Viral Arteritis

Self-declaration by New Zealand of its status of freedom from Equine Viral Arteritis Self-declaration by New Zealand of its status of freedom from Equine Viral Arteritis Self-declaration submitted to the OIE on xxxx2014, by Dr Matthew Stone, Chief Veterinary Officer, Ministry for Primary

More information

Math 1040 Exam 2 - Spring Instructor: Ruth Trygstad Time Limit: 90 minutes

Math 1040 Exam 2 - Spring Instructor: Ruth Trygstad Time Limit: 90 minutes Math 1040 Exam 2 - Spring 2012 Name Instructor: Ruth Trygstad Time Limit: 90 minutes Any calculator is okay, but no computers, cell phones or other hand-held devices are allowed. Tables and formulas are

More information

of 6. Module 5 Ratios, Rates, & Proportions Section 5.1: Ratios and Rates MAT001 MODULE 5 RATIOS, RATES, & PROPORTIONS.

of 6. Module 5 Ratios, Rates, & Proportions Section 5.1: Ratios and Rates MAT001 MODULE 5 RATIOS, RATES, & PROPORTIONS. Module 5 Ratios, Rates, & Proportions Section 5.1: Ratios and Rates A ratio is the comparison of two quantities that have the same units. 18 6 We can express this ratio three different ways: 18 to 6 18:6

More information

Joint Strategic Needs Assessment (JSNA) Picture of Lewisham 2018

Joint Strategic Needs Assessment (JSNA) Picture of Lewisham 2018 Joint Strategic Needs Assessment (JSNA) Picture of Lewisham 2018 Lewisham s Population Lewisham is the 13 th largest borough in London by population size and the 5 th largest in Southwark Inner London

More information

«OKEANOS MASTERS INTERNATIONAL MEETING 2017» 3 rd GREEK MASTERS SWIMMING SERIES GMA SWIMMING SERIES MEETING INFORMATION

«OKEANOS MASTERS INTERNATIONAL MEETING 2017» 3 rd GREEK MASTERS SWIMMING SERIES GMA SWIMMING SERIES MEETING INFORMATION «OKEANOS MASTERS INTERNATIONAL MEETING 2017» 3 rd GREEK MASTERS SWIMMING SERIES GMA SWIMMING SERIES MEETING INFORMATION HOST AO OKEANOS swimming club organizes the 1st International MASTER Swimming Meeting

More information

An application of the Safe System Approach to a set of self-reported cycling crashes

An application of the Safe System Approach to a set of self-reported cycling crashes An application of the Safe System Approach to a set of self-reported cycling crashes Significance Personal, social & environmental benefits of cycling identifed Positive relationship between cycling and

More information

* A New Species of Cichlid Fish From Lake Malawi. Pseudotropheus tursiops, \(I75 Tropical Fish Hobbyist a'l (3) : 8 L-? 0. ,$ IOU.

* A New Species of Cichlid Fish From Lake Malawi. Pseudotropheus tursiops, \(I75 Tropical Fish Hobbyist a'l (3) : 8 L-? 0. ,$ IOU. ,$ IOU. \(I75 Tropical Fish Hobbyist a'l (3) : 8 L-? 0. * 2.37 Pseudotropheus tursiops, A New Species of Cichlid Fish From Lake Malawi by Warren E. Burgess and Dr. Herbert R. Axelrod Among the cichlid

More information

Cabrillo College Transportation Study

Cabrillo College Transportation Study Cabrillo College Transportation Study Planning and Research Office Terrence Willett, Research Analyst, Principle Author Jing Luan, Director of Planning and Research Judy Cassada, Research Specialist Shirley

More information

ASA LONDON REGION GENERAL CONDITIONS

ASA LONDON REGION GENERAL CONDITIONS ASA LONDON REGION GENERAL CONDITIONS 1. This event is open to all bona fide registered members of clubs affiliated to the ASA, SASA, WASA and registered members of clubs from Countries that are affiliated

More information

Hierarchical ORAM Revisited, and Applications to Asymptotically Efficient ORAM and OPRAM. Hubert Chan, Yue Guo, Wei-Kai Lin, Elaine Shi 2017/12/5

Hierarchical ORAM Revisited, and Applications to Asymptotically Efficient ORAM and OPRAM. Hubert Chan, Yue Guo, Wei-Kai Lin, Elaine Shi 2017/12/5 Hierarchical ORAM Revisited, and Applications to Asymptotically Efficient ORAM and OPRAM Hubert Chan, Yue Guo, Wei-Kai Lin, Elaine Shi 2017/12/5 Random Access Machine, RAM Maybe the standard model of algorithms

More information

Robust specification testing in regression: the FRESET test and autocorrelated disturbances

Robust specification testing in regression: the FRESET test and autocorrelated disturbances Robust specification testing in regression: the FRESET test and autocorrelated disturbances Linda F. DeBenedictis and David E. A. Giles * Policy and Research Division, Ministry of Human Resources, 614

More information

STAT 101 Assignment 1

STAT 101 Assignment 1 STAT 1 Assignment 1 1. From the text: # 1.30 on page 29. A: For the centre the median is 2, the mean is 2.62. I am happy with either for an answer and I am happy to have these read off roughly by eye.

More information

Target Shooting by Hunters and Their Use of Shooting Ranges: 1975, 1991, and 2011

Target Shooting by Hunters and Their Use of Shooting Ranges: 1975, 1991, and 2011 U.S. Fish & Wildlife Service Target Shooting by Hunters and Their Use of Shooting Ranges: 1975, 1991, and 2011 Addendum to the 2011 National Survey of Fishing, Hunting, and Wildlife-Associated Recreation

More information

Money Lost or Won -$5 +$3 +$7

Money Lost or Won -$5 +$3 +$7 Math 137 Unit 7 Review 1. The numbers of endangered species for several groups are listed here. Location Mammals Birds Reptiles Amphibians Total USA 63 78 14 10 Foreign 251 175 64 8 Total If one endangered

More information

A comparison of two numbers is called a ratio.

A comparison of two numbers is called a ratio. A comparison of two numbers is called a ratio. Here are two numbers: 3 and 4 Here are two numbers: 3 and 4 We may write: 3 to 4 Here are two numbers: 3 and 4 We may write: 3 to 4 3:4 Here are two numbers:

More information

AP Stats Chapter 2 Notes

AP Stats Chapter 2 Notes AP Stats Chapter 2 Notes 2.1 Measures of Relative Standing & Density Curves What is a percentile? On a test, is a student s percentile the same as the percent correct? Example: Test Scores Suppose the

More information

Grid Generation for Screw Compressors with Variable Geometry Rotors

Grid Generation for Screw Compressors with Variable Geometry Rotors APCOM & ISCM 11-14 th December, 2013, Singapore Grid Generation for Screw Compressors with Variable Geometry Rotors Abstract *A. Kovacevic, S. Rane and N. Stosic City University London, Northampton Square,

More information

A Dusky Hypoxic Woman. Craig Smollin MD Associate Medical Director California Poison Control Center - SF Div.

A Dusky Hypoxic Woman. Craig Smollin MD Associate Medical Director California Poison Control Center - SF Div. A Dusky Hypoxic Woman Craig Smollin MD Associate Medical Director California Poison Control Center - SF Div. Blue man case #1 A 46 year-old male was sent to the emergency department for cyanosis. In the

More information

Clinical Study Synopsis

Clinical Study Synopsis Clinical Study Synopsis This Clinical Study Synopsis is provided for patients and healthcare professionals to increase the transparency of Bayer's clinical research. This document is not intended to replace

More information

Can Economic Pressure Overcome Social Norms? The Case of Female Labor Force Participation

Can Economic Pressure Overcome Social Norms? The Case of Female Labor Force Participation Can Economic Pressure Overcome Social Norms? The Case of Female Labor Force Participation Ana Rute Cardoso Louis-Philippe Morin September 2018 Barcelona GSE Working Paper Series Working Paper nº 1051 fp

More information

Road Traffic Estimates

Road Traffic Estimates Road Traffic Estimates Methodology Note An annual series of road traffic estimates are published by the Department for Transport, approximately 6 months after the end of the reference year. Data Collection

More information

Statistics. Wednesday, March 28, 2012

Statistics. Wednesday, March 28, 2012 Statistics Wednesday, March 28, 2012 Today's Agenda: 1. Collect HW #2: Activities 9 7 & 9 12 2. Go over HW #1: Activities 9 20 a f & 9 17 3. Practice calculating & s x 4. Activities 9 4, 9 5, 9 11, 9 13

More information

«Hellenic Master International Swimming Championships» 4 th GREEK MASTERS SWIMMING SERIES GMA SWIMMING SERIES-OKEANOS 2018 MEETING INFORMATION

«Hellenic Master International Swimming Championships» 4 th GREEK MASTERS SWIMMING SERIES GMA SWIMMING SERIES-OKEANOS 2018 MEETING INFORMATION «Hellenic Master International Swimming Championships» 4 th GREEK MASTERS SWIMMING SERIES GMA SWIMMING SERIES-OKEANOS 2018 MEETING INFORMATION Marousi, 22 January 2018 HOST A.O OKEANOS swimming club hosts

More information

Determining bicycle infrastructure preferences A case study of Dublin

Determining bicycle infrastructure preferences A case study of Dublin *Manuscript Click here to view linked References 1 Determining bicycle infrastructure preferences A case study of Dublin Brian Caulfield 1, Elaine Brick 2, Orla Thérèse McCarthy 1 1 Department of Civil,

More information

Ch.5 Reliability System Modeling.

Ch.5 Reliability System Modeling. Certified Reliability Engineer. Ch.5 Reliability System Modeling. Industrial Engineering & Management System Research Center. - 1 - Reliability Data. [CRE Primer Ⅵ 2-6] Sources of Reliability Data. Successful

More information

Epidemiology of sexually transmitted infections in visitors for the London 2012 Olympic Games: a review of attendees at sexual health services.

Epidemiology of sexually transmitted infections in visitors for the London 2012 Olympic Games: a review of attendees at sexual health services. Epidemiology of sexually transmitted infections in visitors for the London 2012 Olympic Games: a review of attendees at sexual health services. Corresponding Author; Miss Bersabeh Sile (MSc) HIV/STI department,

More information

The Quality of Life of the People in Norway

The Quality of Life of the People in Norway 1 Example Report The Quality of Life of the People in Norway The Management Institute for Quality-of-Life Studies December 2018 2 Introduction This report provides a detailed picture of the quality of

More information

Safety Impacts of Road Diets in Iowa

Safety Impacts of Road Diets in Iowa University of Kentucky From the SelectedWorks of Reginald R. Souleyrette December, 2006 Safety Impacts of Road Diets in Iowa Thomas B. Stout, Iowa State University Michael D. Pawlovich Reginald R. Souleyrette,

More information

Introduction to Analysis of Variance (ANOVA) The Structural Model, The Summary Table, and the One- Way ANOVA

Introduction to Analysis of Variance (ANOVA) The Structural Model, The Summary Table, and the One- Way ANOVA Introduction to Analysis of Variance (ANOVA) The Structural Model, The Summary Table, and the One- Way ANOVA Limitations of the t-test Although the t-test is commonly used, it has limitations Can only

More information

Pr oject Summar y. Principal Investigators: Walter Cook, Elizabeth Williams, Fred Lindzey, and Ron Grogan. University of Wyoming

Pr oject Summar y. Principal Investigators: Walter Cook, Elizabeth Williams, Fred Lindzey, and Ron Grogan. University of Wyoming Pr oject Summar y Chronic wasting disease in white-tailed deer in Wyoming: Interaction with livestock, movement patterns, and evaluation of ante-mortem diagnostic tests Principal Investigators: Walter

More information

European Levels of Investment in Cycling: Results and Insights

European Levels of Investment in Cycling: Results and Insights Shifting Gears European Levels of Investment in Cycling: Results and Insights UWE, 2 July 2013 Dr Kiron Chatterjee Kiron.Chatterjee@uwe.ac.uk Associate Professor in Travel Behaviour Centre for Transport

More information

Determination of the von Bertalanffy Growth Equation for the Southern New England-Middle Atlantic~ Bank and Gulf of Maine stocks of Silver Hake by

Determination of the von Bertalanffy Growth Equation for the Southern New England-Middle Atlantic~ Bank and Gulf of Maine stocks of Silver Hake by Determination of the von Bertalanffy Growth Equation for the Southern New England-Middle Atlantic~ Bank and Gulf of Maine stocks of Silver Hake by F. P. Almeida Georges 3 National Marine Fisheries Service

More information

22 Upper Ground, London, SE1 9PD + 44 (0)

22 Upper Ground, London, SE1 9PD + 44 (0) www.deltapoll.co.uk 22 Upper Ground, London, SE1 9PD + 44 (0) 20 7971 1350 info@deltapoll.co.uk @deltapolluk BREXIT, THE CHEQUERS DEAL AND THE CONSERVATIVES CLIENT NAME: The Sun on Sunday FIELDWORK DATES:

More information

Università degli Studi di Firenze

Università degli Studi di Firenze The Design of In vivo Conservation Programmes In any population it is inevitable that some genetic variation will be lost over time Minimisation of the loss of genetic variation is equivalent to minimisation

More information

Global mortality from viral hepatitis (Cooke et al) Changing Patterns of the Causes of Death in a Swiss Cohort (SHCS) SHCS is a prospective observational cohort Characteristics of participants that died

More information

MODELLING THE EFFECT OF HEALTH RISK PERCEPTION ON

MODELLING THE EFFECT OF HEALTH RISK PERCEPTION ON MODELLING THE EFFECT OF HEALTH RISK PERCEPTION ON PREFERENCES AND CHOICE SET FORMATION OVER TIME: RECREATIONAL HUNTING SITE CHOICE AND CHRONIC WASTING DISEASE THUY TRUONG VIC ADAMOWICZ PETER BOXALL Resource

More information

A Combined Recruitment Index for Demersal Juvenile Cod in NAFO Divisions 3K and 3L

A Combined Recruitment Index for Demersal Juvenile Cod in NAFO Divisions 3K and 3L NAFO Sci. Coun. Studies, 29: 23 29 A Combined Recruitment Index for Demersal Juvenile Cod in NAFO Divisions 3K and 3L David C. Schneider Ocean Sciences Centre, Memorial University St. John's, Newfoundland,

More information

Evaluation of Cavitation in Hydraulic Turbomachinery Using STAR-CCM+

Evaluation of Cavitation in Hydraulic Turbomachinery Using STAR-CCM+ Evaluation of Cavitation in Hydraulic Turbomachinery Using STAR-CCM+ Dr. Edward M. Bennett Vice President of Fluids Engineering Mechanical Solutions, Inc. Whippany, NJ07981 USA emb@mechsol.com 7 March,

More information

Neither Don t know

Neither Don t know YouGov / Sunday Times Survey Results Policy knockout 2014 Round one Sample Size: 1589 GB Adults Fieldwork: 7th - 8th December 2014 Westminster VI 2010 Vote Gender Age Social Grade Region Dem UKIP Con Lab

More information

Prior Design for Dependent Dirichlet Processes: An Application to Marathon Modeling

Prior Design for Dependent Dirichlet Processes: An Application to Marathon Modeling RESEARCH ARTICLE Prior Design for Dependent Dirichlet Processes: An Application to Marathon Modeling Melanie F. Pradier 1,2 *, Francisco J. R. Ruiz 1,2,3, Fernando Perez-Cruz 1,2,4 a11111 1 Signal Theory

More information

INVASIVE BACTERIAL DISEASE SURVEILLANCE REPORT, 2010

INVASIVE BACTERIAL DISEASE SURVEILLANCE REPORT, 2010 INVASIVE BACTERIAL DISEASE SURVEILLANCE REPORT, Emerging Infections Program Active Bacterial Core Surveillance (ABCs) Minnesota Department of Health Diseases included Group A Streptococcus page 5 Group

More information

Bathing Water Directive. Ed Beard Defra Bathing Water Conference Southport March 2013

Bathing Water Directive. Ed Beard Defra Bathing Water Conference Southport March 2013 Bathing Water Directive Ed Beard Defra Bathing Water Conference Southport March 2013 Revised Bathing Water Directive where are we going? where are we? where have we come from? 2 Compliance at coastal waters

More information

SECTION SEVEN. Characteristics of People with IDD and Staff in Large Public Residential Facilities

SECTION SEVEN. Characteristics of People with IDD and Staff in Large Public Residential Facilities SECTION SEVEN Characteristics of People with IDD and Staff in Large Public Residential Facilities FY Section 7: Characteristics of People with IDD and Staff in Large State-Operated IDD Facilities This

More information

Influence of the size of a nation s population on performances in athletics

Influence of the size of a nation s population on performances in athletics Influence of the size of a nation s population on performances in athletics N.P. Linthorne* *Centre for Sports Medicine and Human Performance, School of Sport and Education, Brunel University, Uxbridge,

More information

2011 Census Analysis - Cycling to Work

2011 Census Analysis - Cycling to Work 2011 Census Analysis - Cycling to Work Coverage: England and Wales Date: 26 March 2014 Geographical Areas: Country, Local Authority, Region, Rural and urban Theme: Travel and Transport Theme: Labour Market

More information

1. Answer this student s question: Is a random sample of 5% of the students at my school large enough, or should I use 10%?

1. Answer this student s question: Is a random sample of 5% of the students at my school large enough, or should I use 10%? Econ 57 Gary Smith Fall 2011 Final Examination (150 minutes) No calculators allowed. Just set up your answers, for example, P = 49/52. BE SURE TO EXPLAIN YOUR REASONING. If you want extra time, you can

More information

Simulation of Gas Holdup in a Bubble Column with a Draft Tube for Gas Dispersion into an Annulus

Simulation of Gas Holdup in a Bubble Column with a Draft Tube for Gas Dispersion into an Annulus Simulation of Gas Holdup in a Bubble Column with a Draft Tube for Gas Dispersion into an Annulus Fukuji Yamashita Dept. of Applied Bioscience, Kanagawa Institute of Technology, Atsugi 243-292, Japan, yamasita@bio.kanagawa-it.ac.jp

More information

Monitoring of sea trout post-smolts, 2012

Monitoring of sea trout post-smolts, 2012 Monitoring of sea trout post-smolts, 2012 A report to the West Sutherland Fisheries Trust, Report No. WSFT2/13 January 2013 Shona Marshall Fisheries Biologist West Sutherland Fisheries Trust Gardeners

More information

Estimating city-level travel patterns using street imagery: a. case study of using Google Street View in Britain

Estimating city-level travel patterns using street imagery: a. case study of using Google Street View in Britain Estimating city-level travel patterns using street imagery: a case study of using Google Street View in Britain Rahul Goel, Leandro M. T. Garcia, Anna Goodman, Rob Johnson, Rachel Aldred, Manoradhan Murugesan,

More information

Suicide figures (ABS 2016)

Suicide figures (ABS 2016) Suicide figures (ABS 2016) Data in this document has been updated to reflect the Australian Bureau of Statistics (ABS) Catalogue 3303.0 Causes of Death, Australia, 2014 released Tuesday 8 March 2016. For

More information

Chapter 5 Wing design - selection of wing parameters - 4 Lecture 22 Topics

Chapter 5 Wing design - selection of wing parameters - 4 Lecture 22 Topics Chapter 5 Wing design - selection of wing parameters - Lecture Topics 5.3.9 Ailerons 5.3.0 Other aspects of wing design Example 5. 5.3.9 Ailerons The main purpose of the ailerons is to create rolling moment

More information

PSY201: Chapter 5: The Normal Curve and Standard Scores

PSY201: Chapter 5: The Normal Curve and Standard Scores PSY201: Chapter 5: The Normal Curve and Standard Scores Introduction: Normal curve + a very important distribution in behavior sciences + three principal reasons why... - 1. many of the variables measured

More information

Distancei = BrandAi + 2 BrandBi + 3 BrandCi + i

Distancei = BrandAi + 2 BrandBi + 3 BrandCi + i . Suppose that the United States Golf Associate (USGA) wants to compare the mean distances traveled by four brands of golf balls when struck by a driver. A completely randomized design is employed with

More information

Schwenkiella orietanlis Singh and Agarwal, 1997 (PLATE-XXVII-XXVIII)

Schwenkiella orietanlis Singh and Agarwal, 1997 (PLATE-XXVII-XXVIII) Schwenkiella orietanlis Singh and Agarwal, 1997 (PLATE-XXVII-XXVIII) Host : Periplaneta americana Locality : Meerut Location : Intestine No. of hosts examined : 250 No. of hosts found infected : 200 Female

More information

Domantas Jasilionis Sustainability of life expectancy improvements in Europe. Demographic Research Centre

Domantas Jasilionis Sustainability of life expectancy improvements in Europe. Demographic Research Centre Domantas Jasilionis Sustainability of life expectancy improvements in Europe Demographic Research Centre INTRODUCTION AND OUTLINE Recent concerns about longevity progress Longevity divergences - and integral

More information

THE GENUS PHOTIS (CRUSTACEA: AMPHIPODA) FROM THE TEXAS COAST WITH THE DESCRIPTION OF A NEW SPECIES, PHOTIS MELANICUS

THE GENUS PHOTIS (CRUSTACEA: AMPHIPODA) FROM THE TEXAS COAST WITH THE DESCRIPTION OF A NEW SPECIES, PHOTIS MELANICUS THE GENUS PHOTIS (CRUSTACEA: AMPHIPODA) FROM THE TEXAS COAST WITH THE DESCRIPTION OF A NEW SPECIES, PHOTIS MELANICUS L. D. McKinney Texas A&M University at Galveston, Moody College of Marine Technology,

More information

Resistance to Fatigue and Success in Competitive Swimming. Steven C. Myers, Los Alamos High School Jake A. Bailey, University of Northern Colorado

Resistance to Fatigue and Success in Competitive Swimming. Steven C. Myers, Los Alamos High School Jake A. Bailey, University of Northern Colorado Resistance to Fatigue and Success in Competitive Swimming Steven C. Myers, Los Alamos High School Jake A. Bailey, University of Northern Colorado Introduction Developing and training successful competitive

More information

UnitedHealthcare Pharmacy Clinical Pharmacy Programs

UnitedHealthcare Pharmacy Clinical Pharmacy Programs UnitedHealthcare Pharmacy Clinical Pharmacy Programs Program Number 2017 P 2018-9 Program Prior Authorization/Medical Necessity Topical Androgens Medication Axiron*, Androderm, Androgel*, Fortesta*, Natesto*,

More information

SPORTS EVENT SPOTLIGHT. 11 th November 2016

SPORTS EVENT SPOTLIGHT. 11 th November 2016 SPORTS EVENT SPOTLIGHT 11 th November 2016 Sports Event Spotlight Throughout the course of the year Sport MR will be monitoring the level of interest in key sports events as they happen. Sports Event Spotlight

More information

SPORTS EVENT SPOTLIGHT. 24 th February 2017

SPORTS EVENT SPOTLIGHT. 24 th February 2017 SPORTS EVENT SPOTLIGHT 24 th February 2017 Sports Event Spotlight Throughout the course of the year Sport MR will be monitoring the level of interest in key sports events as they happen. Sports Event Spotlight

More information

2017 RELIABILITY STUDY STYLE INSIGHTS

2017 RELIABILITY STUDY STYLE INSIGHTS 2017 RELIABILITY STUDY STYLE INSIGHTS TABLE OF CONTENTS Introduction...................................................................... 1 Style Insights Summary...........................................................

More information

PHYSICAL CHARACTERISTICS OF FEMALE BASKETBALL PLAYERS ACCORDING TO PLAYING POSITION

PHYSICAL CHARACTERISTICS OF FEMALE BASKETBALL PLAYERS ACCORDING TO PLAYING POSITION Acta Facultatis Educationis Physicae Universitatis Comenianae Vol. 55 No 1 2015 PHYSICAL CHARACTERISTICS OF FEMALE BASKETBALL PLAYERS ACCORDING TO PLAYING POSITION Richard Kucsa, Peter Mačura Department

More information

Travel Patterns and Cycling opportunites

Travel Patterns and Cycling opportunites Travel Patterns and Cycling opportunites The Household Travel Survey is the largest and most comprehensive source of information on the travel patterns of residents of the Sydney Greater Metropolitan Area

More information

Pacific Blue Marlin Stock Assessment Update in ISC Billfish Working Group

Pacific Blue Marlin Stock Assessment Update in ISC Billfish Working Group Pacific Blue Marlin Stock Assessment Update in 2016 ISC Billfish Working Group Overview Overview of the 2013 Pacific Blue Marlin Stock Assessment 2016 Assessment Data and Model Blue Marlin Life History

More information

International variations in rates of selected surgical procedures across OECD countries. Klim McPherson and Giorgia Gon

International variations in rates of selected surgical procedures across OECD countries. Klim McPherson and Giorgia Gon rates of selected surgical procedures across OECD Klim McPherson and Giorgia Gon A follow up from 28 rates of a range of medical and surgical procedures Data period 24 Report for the Foundation of Informed

More information

CORRELATION EFFECTS IN THE FIELD CLASSIFICATION OF GROUND BASED REMOTE WIND SENSORS

CORRELATION EFFECTS IN THE FIELD CLASSIFICATION OF GROUND BASED REMOTE WIND SENSORS CORRELATION EFFECTS IN THE FIELD CLASSIFICATION OF GROUND BASED REMOTE WIND SENSORS Will Barker (1), Julia Gottschall (2), Michael Harris (3), John Medley (4), Edward Burin des Roziers (5), Chris Slinger

More information

Primary Schools Competition Brochure. surreycricket.com

Primary Schools Competition Brochure. surreycricket.com Primary Schools Competition Brochure 1 Contents Topic Page Introduction 3 Competitions Table 4 Competition Calendar 5 Categorisation of Entry 6 Asda Kwik Cricket Boys (yr 6) 7 Asda Kwik Cricket Girls (yr

More information

WBU WELSH BRIDGE UNION CONGRESS MASTER POINT SCALES NOELLE BOND, WBU MASTER POINTS SECRETARY

WBU WELSH BRIDGE UNION CONGRESS MASTER POINT SCALES NOELLE BOND, WBU MASTER POINTS SECRETARY WBU WELSH BRIDGE UNION CONGRESS MASTER POINT SCALES BY NOELLE BOND, WBU MASTER POINTS SECRETARY 3/1/1998, REVISED 24/7/2002, 14/8/2003 AND 1/9/2010 WITH THANKS TO DAVID STEVENSON, VAL KENNEWELL AND LINDA

More information

Poisoned to Death. Christopher J. Ruhm. University of Virginia and NBER

Poisoned to Death. Christopher J. Ruhm. University of Virginia and NBER Poisoned to Death Christopher J. Ruhm University of Virginia and NBER # of Deaths 10000 20000 30000 40000 50000 Fig 1A: Poisoning and Motor Vehicle Deaths Poisoning Drug Poisoning Vehicle 1983 1986 1989

More information

Which On-Base Percentage Shows. the Highest True Ability of a. Baseball Player?

Which On-Base Percentage Shows. the Highest True Ability of a. Baseball Player? Which On-Base Percentage Shows the Highest True Ability of a Baseball Player? January 31, 2018 Abstract This paper looks at the true on-base ability of a baseball player given their on-base percentage.

More information

Book 6. The wee Maths Book. Growth. Grow your brain. N4 Numeracy. of Big Brain. Guaranteed to make your brain grow, just add some effort and hard work

Book 6. The wee Maths Book. Growth. Grow your brain. N4 Numeracy. of Big Brain. Guaranteed to make your brain grow, just add some effort and hard work Grow your brain N4 Numeracy Book 6 The wee Maths Book of Big Brain Growth Guaranteed to make your brain grow, just add some effort and hard work Don t be afraid if you don t know how to do it, yet! It

More information

Developing and Supporting the County Age Group Swimmer

Developing and Supporting the County Age Group Swimmer Developing and Supporting the County Age Group Swimmer Swim England Talent Team in conjunction with Berkshire & South Buckinghamshire ASA 27/1/2018 Today s Workshop... To introduce another Development

More information

1. The data in the following table represent the number of miles per gallon achieved on the highway for compact cars for the model year 2005.

1. The data in the following table represent the number of miles per gallon achieved on the highway for compact cars for the model year 2005. Millersville University Name Department of Mathematics MATH 130, Elements of Statistics I, Test 2 March 5, 2010, 10:00AM-10:50AM Please answer the following questions. Your answers will be evaluated on

More information

Statistical Modeling of Consumers Participation in Gambling Markets and Frequency of Gambling

Statistical Modeling of Consumers Participation in Gambling Markets and Frequency of Gambling Statistical Modeling of Consumers Participation in Gambling Markets and Frequency of Gambling Brad R. Humphreys University of Alberta Department of Economics Yang Seung Lee University of Alberta Department

More information