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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: \(1.0\%^{\star \star }\), \(5.0\%^\star\), \(10.0\%^\cdot\)