Volume 26, Number 3—March 2020
Research
Stable and Local Reservoirs of Mycobacterium ulcerans Inferred from the Nonrandom Distribution of Bacterial Genotypes, Benin
Table 1
Cluster detection analysis for predominance of Mycobacterium ulcerans genotypes using the maximum reported spatial window of 50% of the sample population and an univariate scan statistic, Benin and Nigeria*
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
RR (%) |
RR (%) |
RR (%) |
RR (%) |
RR (%) |
RR (%) |
RR (%) |
RR (%) |
|||||||||||
Northern Ouémé | 15.7 | 19.2 | 68 | 0 | 0.6 (4.1) | 0.2 (1.3) | 1.5 (15) | 1 (9.6) | 0 | 0.4 (4.1) | 1.9 (66) | |||||||
Southern Ouémé | 17.9 | 18.8 | 17 | 1.5 (5) | 1 (6) | 0 | 0 | 0 | 0.9 (6) | 20 (53) | 0.6 (29) | |||||||
Nigeria† | 54.3 | 27.1 | 20 | 9.9 (20) | 3.2 (15) | 5 (20) | 0 | 0 | 13 (35) | 0 | 0.2 (10) |
*Percentages indicate falling in each group within a cluster. LLR: log likelihood ratio; Ob, number of observations in a cluster; RR, relative risk, computed as the ratio of the proportions of the number of Buruli ulcer cases in each category out of the total number of cases inside the cluster versus outside.
†Ogun State.
Page created: February 20, 2020
Page updated: February 20, 2020
Page reviewed: February 20, 2020
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.