Table 6

Negative binomial regression on ill days and income loss

PredictorsUnitIll daysIncome loss
Disp. CoeffStd. ErrDisp. CoeffStd. Err
GenderMale = 1, Female = 00.010.22  
AgeYear−0.04*−0.20−0.28−5.43
Education levelYear of schooling−0.18*−2.11−0.42*−4.29
IncomeBDT per month−0.00−0.20
Area of residenceResidence = 1, Slum = 00.395.25−1.88−15.11
Surrounding living placeHygienic = 1, Unhygienic = 0−0.45−1.53
Density of mosquitoesHigh = 1, low = 01.340.47−7.29**−9.48
Use repellent during sleepYes = 1, No = 00.23**2.86
Ventilation facilityYes = 1, No = 03.008.19
Consult with doctorYes = 1, No = 01.65***0.24−2.43−9.42
Bear money to prevent expenses 2.345.44
Taking averting actionYes = 1, No = 00.91−1.634.77**1.07
Taking healthy foodYes = 1, No = 0−3.23−4.54
Participation in NGO program −4.29−6.09
Constant 3.2413.10
No. of observation 120120
Log likelihood −348.51−284.54
Pseudo R2 0.030.02

Note(s): N.B.: ***p < 0.01, **p < 0.05, *p < 0.1; Disp. = Dispersion, Coeff. = Coefficient, Std. = Standard, Err. = Error

or Create an Account

Close subscription notice
Close access options