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. 2022 Sep 26;107(5):1114–1128. doi: 10.4269/ajtmh.22-0259

Table 3.

Logistic regression and temporal trends analysis of dengue case rates by demographic characteristics, Iquitos, Peru, 1993–1999

Characteristics Total dengue cases Periods Average annual change
1993* 1994 1995 1996 1997 1998 (Oct. 93–Sept. 99)
% N % (n) % (n) % (n) % (n) % (n) % (n) % (95% Cl)
No. of cases 14.6 (967) 5.7 (15) 25.2 (178) 6.2 (29) 2.7 (21) 15.0 (382) 18.5 (342) 6.7§ (1.5–12.1)
Gender
 Female 17.5 (463) 5.9 (6) 28.9 (84) 8.4 (15) 4.3 (8) 18.3 (203) 18.8 (147) 3.6 (–3.6 to 11.3)
 Male 12.7 (504) 5.6 (9) 22.7 (94) 4.8 (14) 2.2 (13) 12.4 (179) 18.2 (195) 9.3§ (2.0–17.2)
Age groups (in years)
 1–14 11.4 (114) 3.8 (2) 16.5 (20) 2.9 (2) 1.0 (1) 13.2 (53) 14.2 (36) 19.3§ (2.6–38.7)
 15–29 13.9 (443) 6.7 (7) 20.9 (62) 5.7 (13) 2.9 (15) 16.3 (191) 18.1 (155) 12.2§ (3.5–21.4)
 30–44 16.5 (240) 7.6 (4) 29.7 (51) 8.3 (9) 5.5 (5) 14.4 (85) 19.5 (86) −0.4 (–9.4 to 9.6)
 > 44 17.9 (169) 4.2 (2) 38.9 (45) 8.1 (5) 0 (0) 14.4 (53) 21.8 (65) −2.2 (–12.2 to 8.9)
Occupations
 Child/student 14.8 (256) 4.2 (3) 24.4 (42) 7.3 (8)§ 2.1 (3)§ 16.3 (123) 16.2 (77)§ 2.1 (–7.8 to 13.0)
 Housekeeper 18.7 (269) 6.5 (3) 40.4 (55) 5.6 (5) 2.8 (2) 17.3 (108) 20.5 (96) −3.7 (–12.4 to 6.0)
 Agricultural workers 7.2 (34) 6.7 (1) 11.8 (4) 2.9 (1) 2.3 (1) 5.5 (11) 11.2 (16) 9.9 (–18.6 to 48.4)
 Military personnel 5.5 (53) 9.8 (5) 3.8 (4) 0.8 (1) 1.3 (5) 8.0 (11) 14.7 (27) 42.4§ (11.3–82.0)
 Others 17.7 (355) 3.8 (3) 28.2 (73) 12.0 (14) 7.4 (10) 15.5 (129) 21.7 (126) 2.8 (–5.0 to 11.3)
Place of residence
 Iquitos city 16.7 (877) 5.1 (11) 26.6 (177) 7.9 (27)§ 3.1 (16) 16.1 (350) 22.2 (296) 6.4§ (1.1–12.0)
 Outside Iquitos city 6.7 (83) 8.9 (4) 2.5 (1) 1.7 (2) 5.0 (2.3) 8.6 (28) 8.6 (43) 29.1§ (3.4–61.2)

CI = confidence intervals.

*

Periods: 1993, Oct. 93–Sept. 94; 1994, Oct. 94–Sept. 95; 1995, Oct. 95–Sept. 96; 1996, Oct. 96–Sept. 97; 1997, Oct. 97–Sept. 98; 1998, Oct. 98–Sept. 99.

% Average annual change controlled for all demographic variables in the multiple logistic regression model.

Others (workers, merchants, employees, independents, teachers, retired, unemployed).

§

P < 0.05

P < 0.001