Skip to main content
. 2019 Apr 16;13(4):e0007263. doi: 10.1371/journal.pntd.0007263

Table 3. Intensity and quality of case-area targeted interventions (CATIs) in response to cholera alerts from July 2013 to June 2017: Factors associated with the incidence of complete CATIs per responded alert (negative-binomial mixed models).

Univariate analysis bc Multivariate analysis d
cIR
[95%-CI]
p-value aIR
[95%-CI]
p-value
Mean number of complete CATIs per responded alert, 5.1 (SD, 7.8)
Commune <0.0001 b
Department a <0.0001 b
NGO responsible for CATI a 0.98 b
Commune, department and NGO random effects d <0.001
Alert level, red vs. orange a 1.72
[1.60–1.85]
<0.0001 c 1.85
[1.72–1.98]
<0.0001
Semester since mid-2013 a 1.21
[1.18–1.23]
<0.0001 c 1.22
[1.20–1.25]
<0.0001
Weekly UNICEF disbursements for CATIs, mean (SD; $10,000 USD) 1.03
[1.02–1.03]
<0.0001 c 1.00
[0.99–1.01]
0.84
Weekly accumulated rainfall in the commune, mean (SD; cm) 1.00
[0.99–1.01]
0.92 c ND ND
Population of the commune, mean (SD; 10,000 inhab.) 1.02
[1.01–1.03]
<0.0001 c 1.02
[1.01–1.02]
<0.0001
OCV in the commune before or during the study period, number (%) 1.18
[0.92–1.51]
0.18 c 0.99
[0.81–1.20]
0.91
Distance from the capital Port-au-Prince, mean (SD; 10 km) 1.01
[0.98–1.04]
0.4 c ND ND
Distance from the department capital, mean (SD; 10 km) 0.96
[0.93–1.00]
<0.05 c 1.00
[0.97–1.02]
0.77
Mountainous commune, number of alerts (%) 1.05
[0.85–1.29]
0.65 c ND ND

Comparison of the number of complete CATIs per responded alert was estimated using generalized linear mixed models with a negative-binomial distribution.

a Number of complete CATIs for each class are summarized in S3 Table provided as supplementary information.

b For each of these univariate analyses, communes, departments or NGOs was modeled as unique random effect variables.

c For these univariate analyses, communes, departments and NGOs were modeled as random effect variables, with communes nested within departments. Models provided a common p-value for both random effects.

d For all multivariate analysis, the model included communes, departments and NGOs as random effect variables, with communes nested within departments, and all fixed variables for which univariate p-value was <0.25 The model provided a common p-value for random effect variables.

SD, standard deviation; cIR, crude incidence ratio; aIR, adjusted incidence ratio; 95%-CI, 95% confidence interval; ND, no data (variables not included in the multivariate analysis).