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Table 3 Descriptive analysis of hPIV laboratory and public health linked cases depending on type

From: Use of laboratory and administrative data to understand the potential impact of human parainfluenza virus 4 on cases of bronchiolitis, croup, and pneumonia in Alberta, Canada

  hPIV1 (N = 617)
n (%)
95 % CI hPIV2 (N = 252)
n (%)
95 % CI hPIV3 (N = 1067)
n (%)
95 % CI hPIV4 (N = 364)
n (%)
95 % CI
Hospitalizeda 259 (42) 38.0–45.9 107 (42) 36.2–48.8 436 (41) 37.9–43.9 166 (46) 40.4–50.8
Non-Hospitalized 358 (58) 54.0–61.9 145 (58) 51.1–63.7 631 (59) 56.1–62.0 198 (54) 49.1–59.5
<2 yearsb 285 (46) 42.2–50.2 101 (40) 34.0–46.4 505 (47) 44.3–50.4 158 (44) 38.1–48.5
2–4 years 141 (23) 19.6–26.4 40 (16) 11.6–21.0 146 (14) 11.7–15.9 59 (16) 12.6–20.5
5–8 years 62 (10) 7.8–12.7 36 (14) 10.2–19.2 28 (3) 1.8–3.8 28 (8) 5.2–11.0
9–11 years 7 (1) 0.5–2.3 12 (5) 2.5–8.2 9 (0.8) 0.4–1.4 4 (1.1) 0.3–2.8
12–17 years 10 (2) 0.8–3.0 6 (2) 0.9–5.1 24 (2.2) 1.4–3.3 12 (3.3) 1.7–5.7
18–64 years 78 (13) 10.1–15.5 33 (13) 9.2–17.9 183 (17) 14.9–19.5 73 (20) 16.1–24.6
65 + years 34 (6) 3.8–7.6 23 (9) 5.9–13.4 172 (16) 14.0–18.5 30 (8.2) 5.6–11.6
Unk 0 (0) 0.0–0.6 1 (0.4) 0.0–2.2 0 (0) 0.0–0.3 0 (0) 0.0–1.0
Malec 343 (56) 51.6–59.6 138 (55) 48.4–61.0 538 (50) 47.4–53.5 177 (49) 43.4–53.9
Female 270 (44) 39.8–47.8 113 (45) 38.6–51.2 523 (49) 46.0–52.1 184 (51) 45.3–55.8
Unknown 4 (0.65) 0.2–1.7 1 (0.39) 0.0–2.2 6 (0.6) 0.2–1.2 3 (0.8) 0.2–2.4
Croupd 133 (22) 18.4–25.0 47 (19) 14.0–24.0 61 (6) 4.4–7.3 7 (2) 0.8–3.9
Pneumoniae 74 (12) 9.5–14.8 33 (13) 9.2–17.9 193 (18) 15.8–20.5 77 (21) 17.1–25.7
Bronchiolitisf 64 (11) 8.1–13.1 27 (11) 7.2–15.2 148 (14) 11.9–16.1 66 (18) 14.3–22.5
Mixedg 33 (5) 7.4–37.0 13 (5) 8.7–28.0 41 (4) 2.8–5.2 16 (4) 2.5–7.0
Other respiratory disease 313 (50) 46.7–54.7 132 (52) 46.0–58.7 624 (58) 55.5–61.5 198 (54) 49.1–59.6
  1. Mixed means case has any combination of croup, pneumonia and bronchiolitis
  2. a NS hospitalized vs non-hospitalized for PIV type: P = 0.4717; b NS age for PIV type, P = 0.307; c NS male vs female for PIV type, P = 0.0847
  3. d Chi-square 148.82, df = 3, P < 0.001; e Chi-square 24.13, df = 3, P < 0.001; f Chi-square 13.75, df = 3, P = 0.0033; g Chi-square 10.52, df = 3, P = 0.0146