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. 2019 Nov 6;19:935. doi: 10.1186/s12879-019-4590-2

Table 2.

Negative binomial regression analysis showing effects of age, gender, species and season on incidences of malaria (N = 925 spring (March through May), summer (June through September), autumn (October through November) and winter (December through February)

Coefficients Categories sub type Estimate Std. Error Z value Pr(>|z|)
Intercept 3.7987 0.2382 15.949 < 2e-16 ***
Age groups (1–20) Years 2.1917 0.1800 12.174 < 2e-16 ***
(21–40) Years −0.1271 0.1496 −0.849 0.395796
(41–60) Years −0.9392 0.1653 −5.680 1.34e-08***
(61–100) Year −2.4390 0.2298 - 10.614 < 2e- 16***
Gender Male 0.8466 0.1256 6.741 1.57e-11 ***
Species Types P. vivax & P. falciparum −0.8562 0.1751 −4.889 1.01e-06 ***
P. vivax 1.0308 0.1410 7.311 2.65e-13 ***
Seasons Spring −0.5671 0.1669 −3.397 0.000681 ***
Summer 0.3737 0.1512 2.472 0.013436 *
Winter −2.1374 0.2311 −9.249 < 2e-16 ***

Significant. Codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 “1

The predictor’s age, sex, species and season predicting number of incidences are significant predictors