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Volume 31, Number 3—March 2025
Synopsis
Epidemiology of Buruli Ulcer in Victoria, Australia, 2017–2022
Table 4
Univariate and multivariate associations between risk factors and severity of BU, Victoria, Australia, 2017–2022*
Variable | WHO severity |
Univariate analysis |
Multivariate analysis |
|||||||
---|---|---|---|---|---|---|---|---|---|---|
I, n = 1,156 | II/III, n = 238 | OR | 95% CI | p value | aOR | 95% CI | p value | |||
Sex | ||||||||||
F | 541 (47) | 91 (38) | 1.00 | NA | NA | 1.00 | NA | NA | ||
M |
615 (53) |
147 (62) |
1.42 |
1.07–1.90 |
0.016 |
1.44 |
1.08–1.94 |
0.014 |
||
Age, y, continuous |
53 (35–69) |
56 (41–74) |
1.01 |
1.00–1.01 |
0.021 |
1.01 |
1.00–1.01 |
0.015 |
||
BU-endemic area | ||||||||||
New BU-endemic | 105 (9.1) | 28 (12) | 1.56 | 0.97–2.46 | 0.059 | 1.69 | 1.02–2.73 | 0.035 | ||
Non–BU-endemic | 416 (36) | 105 (44) | 1.44 | 1.07–1.94 | 0.017 | 1.38 | 1.01–1.88 | 0.042 | ||
Established BU-endemic |
635 (55) |
105 (44) |
1.00 |
NA |
NA |
1.00 |
NA |
NA |
||
Year | ||||||||||
2017 | 171 (15) | 50 (21) | 1.00 | NA | NA | 1.00 | NA | NA | ||
2018 | 241 (21) | 43 (18) | 0.61 | 0.39–0.96 | 0.032 | 0.61 | 0.39–0.97 | 0.036 | ||
2019 | 203 (18) | 43 (18) | 0.72 | 0.46–1.14 | 0.2 | 0.68 | 0.43–1.09 | 0.11 | ||
2020 | 132 (11) | 30 (13) | 0.78 | 0.46–1.28 | 0.3 | 0.71 | 0.42–1.18 | 0.2 | ||
2021 | 179 (15) | 22 (9.2) | 0.42 | 0.24–0.72 | 0.002 | 0.41 | 0.23–0.71 | 0.002 | ||
2022 |
230 (20) |
50 (21) |
0.74 |
0.48–1.15 |
0.2 |
0.69 |
0.44–1.09 |
0.11 |
||
Diagnosis delay, d | 18 (7–41) | 28 (12–57) | 1.03 | 1.01–1.04 | <0.001 | 1.00 | 1.00–1.01 | <0.001 | ||
First visit delay, d | 28 (12–51) | 26 (10–40) | 1.00 | 1.00–1.00 | 0.7 | NA | NA | NA |
*Values are no. (%) except as indicated. aOR, adjusted odds ratio; BU, Buruli ulcer; NA, not applicable; OR, odds ratio; WHO, World Health Organization.
Page created: February 04, 2025
Page updated: February 21, 2025
Page reviewed: February 21, 2025
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