Table 3.
Univariable and multivariable negative binomial regression models of worm burden, 2018 data
| Variable (reference category) | Univariable,n | Incidence rate ratio (95% CI) | P-value | Multivariable, n | Adjusted incidence rate ratio (95% CI) | P-value |
|---|---|---|---|---|---|---|
| No. of dogs in household | 1,004 | 0.95 (0.91–0.98) | < 0.005 | 983 | 0.94 (0.91–0.98) | < 0.005 |
| Dog age (years) | 999 | 0.97 (0.94–1.01) | > 0.1 | – | 0.98 (0.94–1.02) | > 0.1 |
| Dog from fishing village (not from fishing village) | 990 | 0.84 (0.74–0.95) | < 0.005 | – | – | – |
| Dog has history of GW infection in a previous year | 1,020 | 1.16 (1.02–1.33) | < 0.05 | – | – | – |
| Dog sex, female (male) | 1,012 | 0.95 (0.85–1.05) | > 0.1 | – | – | – |
| Dog use, guarding (not used for guarding) | 1,018 | 1.15 (0.94–1.37) | > 0.1 | – | – | – |
| Dog use, guarding/hunting (not used for guarding/hunting) | 1,020 | 0.91 (0.82–1.02) | > 0.05 | – | – | – |
| Dog use, hunting (not used for hunting) | 1,014 | 0.92 (0.83–1.03) | > 0.05 | – | – | – |
| Owner ethnicity, Sara Kaba (other ethnicity) | 1,020 | 0.86 (0.77–0.98) | < 0.05 | – | – | – |
| Owner occupation, farmer (not a farmer) | 1,020 | 0.94 (0.85–1.06) | > 0.1 | – | – | – |
| Owner occupation, fisherman (not a fisherman) | 1,020 | 0.98 (0.86–1.12) | > 0.5 | – | – | – |
| Owner occupation, hunter (not a hunter) | 1,020 | 0.97 (0.51–1.82) | > 0.5 | – | – | – |
An increased number of dogs in the household was negatively correlated with worm burden for both univariable and multivariable models (when adjusting for dog age). Univariable models showed that risk of elevated worm burden was greater for dogs with a history of Guinea worm infection; decreased risk of elevated worm burden was associated with owner ethnicity (Sara Kaba) and whether the dog came from a fishing village. Bold indicates statistical significance.