Table 2 Distribution of positive results for pathogens in differential diagnosis of yellow fever according to sociodemographic characteristics in the CAR (2008–2010)
Characteristic | Any positive result | Negative result | P | |||
|---|---|---|---|---|---|---|
No. | % | No. | % | |||
Age (years) | < 15 | 35 | 52.2 | 32 | 47.8 | 0.567 |
16–24 | 24 | 52.2 | 22 | 47.8 | ||
25–34 | 21 | 50.0 | 21 | 50.0 | ||
≥ 35 | 17 | 39.5 | 26 | 60.5 | ||
Sex | Male | 43 | 43.4 | 56 | 56.6 | 0.118 |
Female | 54 | 54.5 | 45 | 45.5 | ||
Province of residence | Bangui | 41 | 51.9 | 38 | 48.1 | 0.446 |
Bambari | 1 | 50.0 | 1 | 50.0 | ||
Basse Kotto | 6 | 40.0 | 9 | 60.0 | ||
Haute Kotto | 3 | 60.0 | 2 | 40.0 | ||
Kembe | 2 | 33.3 | 4 | 66.7 | ||
Lobaye | 0 | 0.0 | 7 | 100.0 | ||
Mbomou | 3 | 75.0 | 1 | 25.0 | ||
Nana Mambere | 1 | 25.0 | 3 | 75.0 | ||
Ombela-M’poko | 27 | 51.9 | 25 | 48.1 | ||
Ouaka | 1 | 100.0 | 0 | 0.0 | ||
Ouham | 5 | 55.7 | 4 | 44.3 | ||
Ouham Pende | 5 | 50.0 | 5 | 50.0 | ||
Sangha Mbaere | 0 | 0.0 | 1 | 100.0 | ||
Vakaga | 2 | 66.7 | 1 | 33.3 | ||