Table 2 Receiver operating characteristic (ROC) analysis output by province: AUC, cut-off, sensitivity, and specificity with 95% Credible Interval.

From: Spatio-temporal modelling and prediction of malaria incidence in Mozambique using climatic indicators from 2001 to 2018

Province

Cutoff

AUC (95% CI)

SEN (95% CI)

SPE (95% CI)

Cabo Delgado

0.164

0.796 (0.733–0.859)

0.816 (0.708–0.925)

0.641 (0.568–0.713)

Niassa

0.216

0.827 (0.771–0.883)

0.821 (0.721–0.922)

0.700 (0.629–0.771)

Nampula

0.206

0.792 (0.732–0.851)

0.822 (0.734–0.910)

0.643 (0.565–0.722)

Zambezia

0.208

0.842 (0.779–0.905)

0.806 (0.708–0.905)

0.779 (0.714–0.845)

Tete

0.242

0.574 (0.488–0.660)

0.672 (0.552–0.793)

0.582 (0.505–0.659)

Manica

0.194

0.710 (0.635–0.785)

0.817 (0.719–0.915)

0.603 (0.526–0.679)

Sofala

0.194

0.765 (0.700–0.829)

0.913 (0.832–0.994)

0.559 (0.484–0.633)

Inhambane

0.204

0.656 (0.566–0.746)

0.696 (0.563–0.829)

0.682 (0.612–0.752)

Gaza

0.220

0.717 (0.649–0.785)

0.960 (0.906–1.000)

0.470 (0.394–0.546)

Maputo

0.051

0.687 (0.619–0.754)

0.983 (0.950–1.000)

0.510 (0.431–0.588)

Maputo City

0.338

0.985 (0.973–0.998)

1.000 (1.000–1.000)

0.929 (0.889–0.970)

Mozambique

0.304

0.897 (0.893–0.901)

0.835 (0.827–0.843)

0.793 (0.787–0.798)

  1. AUC area under the ROC curve, SEN sensitivity, SPE specificity.