Table 3 Multinomial regression analysis of factors influencing willingness to participate in dengue prevention training programs.

From: Sociodemographic determinants of willingness to adopt surveillance technology and mosquito control training for dengue in Malaysia

Independent variables

Predictors

Willingness to be trained for dengue prevention

p-value

OR

95% Cl

 

Area of residence

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Rural vs Urban

A. Maybe vs No

0.403

1.279

0.718, 2.278

B. Yes vs No

0.498

0.838

0.502, 1.397

Gender

Male vs Female

C. Maybe vs No

0.028

1.929

1.074, 3.467

D. Yes vs No

0.932

0.979

0.597, 1.606

Age

< 40 years vs > 40 years

E. Maybe vs No

0.060

0.618

0.374, 1.021

F. Yes vs No

0.001

0.478

0.304, 0.753

Duration of living in the area

> 3 years vs < 3 years

G. Maybe vs No

0.086

1.705

0.926, 3.139

H. Yes vs No

0.585

1.159

0.683, 1.965

Type of house

Terrace vs Others

I. Maybe vs No

0.787

0.934

0.571, 1.529

J. Yes vs No

0.015

1.747

1.117, 2.734

Negative perceptions about drone use

No vs Yes

K. Maybe vs No

0.387

1.090

0.897, 1.325

L. Yes vs No

0.851

0.975

0.750, 1.268

Unsure vs Yes

M. Maybe vs No

0.455

1.118

0.835, 1.497

N. Yes vs No

0.851

1.025

0.789, 1.333

Concern about drone use

No vs Yes

O. Maybe vs No

0.080

0.734

0.519, 1.038

P. Yes vs No

0.984

0.997

0.728, 1.366

Unsure vs Yes

Q. Maybe vs No

0.080

1.362

0.835, 1.497

R. Yes vs No

0.984

1.003

0.732, 1.375

  1. Multinomial regression analysis of factors influencing the willingness to be trained for dengue prevention. The table presents odds ratios (OR), 95% confidence intervals (CI), and p-values for key sociodemographic variables, housing type, and perceptions regarding drone use, categorized by responses ("No," "Maybe," and “Yes”). Significant associations are highlighted to identify potential predictors of app adoption.
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