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Table 1 Fitted logistic regression model

From: Socio-economic and demographic impacts on the full awareness of the methods for controlling/preventing the spread of COVID-19 among social media users in some African countries at the onset of the pandemic

\(\hbox {Variables}^\text {[VIF]}\)

Coefficients(log odds)

Odds

Std. errors

\(95\%\) CI(log odds)

\(95\%\) CI(Odds)

z value

\(\Pr (>|z|)\)a

\(\hbox {Age}^{[1.221533]}\)

\({\widehat{\beta }}_1:-2.3\times 10^{-3}\)

\(9.9\times 10^{-1}\)

\(1.0\times 10^{-2}\)

(\(-\)0.0223,0.0176)

(0.9780,1.0178)

− 0.229

0.81856

\(\hbox {Gender}^{[1.140526]}\)

\({\widehat{\beta }}_2:5.6\times 10^{-1}\)

1.7644

\(2.5\times 10^{-1}\)

(0.0627,1.0729)

(1.0647,2.9238)

2.204

\(0.02756^{\star }\)

\(\hbox {Location}^{[1.124206]}\)

\({\widehat{\beta }}_3:5.3\times 10^{-1}\)

1.7121

\(2.6\times 10^{-1}\)

(0.0183,1.0571)

(1.0185,2.8780)

2.029

\(0.04250^{\star }\)

No. of. Social.\(\hbox {Media}^{[1.217030]}\)

\({\widehat{\beta }}_4:8.6\times 10^{-2}\)

1.0908

\(7.4\times 10^{-2}\)

(\(-\)0.0586,0.2325)

(0.9430,1.2617)

1.170

0.24187

Education::\(\hbox {MSc}^{[1.431537]}\)

\({\widehat{\beta }}_5:6.6\times 10^{-1}\)

1.9496

\(4.0\times 10^{-1}\)

(\(-\)0.1356,1.4708)

(0.8732,4.3528)

1.629

0.10327

Education::\(\hbox {PhD}^{[1.000000]}\)

\({\widehat{\beta }}_6:1.3\times 10^{1}\)

7.0786

\(6.4\times 10^{2}\)

(\(-\)1254.0620,1281.0020)

(0.0000,\(\infty\))

0.021

0.98339

Education::\(\hbox {BSc}^{[1.668772]}\)

\({\widehat{\beta }}_7:7.5\times 10^{-1}\)

2.1268

\(3.1\times 10^{-1}\)

(0.1345,1.3747)

(1.1439,3.9541)

2.385

\(0.01709^{\star }\)

Education::\(\hbox {Secondary}^{[1.541658]}\)

\({\widehat{\beta }}_8:8.1\times 10^{-4}\)

1.0008

\(3.4\times 10^{-1}\)

(\(-\)0.6744,0.6760)

(0.5095,1.9661)

0.002

0.99812

Education::\(\hbox {None}^{[1.047973]}\)

\({\widehat{\beta }}_9:-9.4\times 10^{-1}\)

\(3.8\times 10^{-1}\)

1.460

(\(-\)3.8091,1.9141)

(0.0222,6.7808)

\(-\)0.649

0.51647

Education::\(\hbox {Primary}^{[1.338356]}\)

\({\widehat{\beta }}_{10}:-4.9\times 10^{-1}\)

\(6.0\times 10^{-1}\)

\(6.4\times 10^{-1}\)

(\(-\)1.7601,0.7635)

(0.1720,2.1459)

\(-\)0.774

0.43887

Occupation::\(\hbox {Employed}^{[1.098503]}\)

\({\widehat{\beta }}_{11}:1.224\)

3.4008

\(4.6\times 10^{-1}\)

(0.3124,2.1356)

(1.3667,8.4621)

2.633

\(0.00847^{\star \star }\)

Occupation::\(\hbox {Professional}^{[1.093742]}\)

\({\widehat{\beta }}_{12}:5.3\times 10^{-1}\)

1.7105

\(4.0\times 10^{-1}\)

(\(-\)0.2486,1.3222)

(0.7799,3.7516)

1.340

0.18031

Religion::\(\hbox {Islam}^{[1.047534]}\)

\({\widehat{\beta }}_{12}:6.9\times 10^{-1}\)

2.0095

\(5.1\times 10^{-1}\)

(\(-\)0.3189,1.7147)

(0.7269,5.5553)

1.345

0.17858

Religion::\(\hbox {Traditional}^{[1.100935]}\)

\({\widehat{\beta }}_{14}:-1.4110\)

\(2.4\times 10^{-1}\)

\(7.7\times 10^{-1}\)

(\(-\)2.9343,0.1123)

(0.0532,1.1189)

\(-\)1.816

\(0.06937^{\mathbf {\cdot }}\)

Religion::\(\hbox {Buddhism}^{[1.027394]}\)

\({\widehat{\beta }}_{15}:-1.7290\)

\(1.7\times 10^{-1}\)

\(9.5\times 10^{-1}\)

(\(-\)3.6008,0.1428)

(0.0273,1.1535)

\(-\)1.811

\(0.07017^{\mathbf {\cdot }}\)

Religion::\(\hbox {Hinduism}^{[1.081103]}\)

\({\widehat{\beta }}_{16}:-6.2\times 10^{-1}\)

\(5.3\times 10^{-1}\)

1.565

(\(-\)3.6972,2.4376)

(0.0248,11.4455)

\(-\)0.402

0.68739

  1. aSignificance level: \(1.0\%^{\star \star }\), \(5.0\%^\star\), \(10.0\%^\cdot\)