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. 2020 Jan 10;148:e4. doi: 10.1017/S0950268819002267

Table 1.

The summary table of the model estimations. Population numbers are summarised in units of one million

Region Population Model Epidemic period Final size Reproduction number Turning point R-squared Improvement AIC Weight
Nigeria 186 Baseline: AR(2) from EW44-2016 to EW22-2017 NA NA NA 0.9959 0.00% 198.8 NA
Nigeria 186 Richards from EW44-2016 to EW22-2017
Nigeria 186 Logistic from EW44-2016 to EW22-2017 196; (191, 201) 1.24; (1.22, 1.25) EW10-2017; (EW10-2017, EW10-2017) 0.9973 34.80% 191.8 0.968
Nigeria 186 Gompertz from EW44-2016 to EW22-2017 221; (208, 233) 1.14; (1.12, 1.15) EW08-2017; (EW08-2017, EW09-2017) 0.9969 23.90% 198.6 0.032
Nigeria 186 Weibull from EW44-2016 to EW22-2017 350; (252, 448) 1.05; (1.04, 1.07) EW14-2017; (EW09-2017, EW18-2017) 0.9937 −53.80% 220.5 excluded
Nigeria 186 Model average from EW44-2016 to EW22-2017 197; (192, 202) 1.23; (1.22, 1.24) EW10-2017; (EW10-2017, EW10-2017) NA NA NA NA
Nigeria 190.9 Baseline: AR(2) from EW44-2017 to EW22-2018 NA NA NA 0.9977 0.00% 157 NA
Nigeria 190.9 Richards from EW44-2017 to EW22-2018 464; (458, 470) 1.33; (1.28, 1.37) EW09-2018; (EW08-2018, EW09-2018) 0.9984 32.00% 151.2 0.933
Nigeria 190.9 Logistic from EW44-2017 to EW22-2018 468; (462, 474) 1.41; (1.39, 1.43) EW08-2018; (EW08-2018, EW08-2018) 0.998 14.00% 156.5 0.067
Nigeria 190.9 Gompertz from EW44-2017 to EW22-2018 474; (465, 483) 1.31; (1.29, 1.34) EW07-2018; (EW07-2018, EW07-2018) 0.9972 −20.60% 169 excluded
Nigeria 190.9 Weibull from EW44-2017 to EW22-2018 491; (475, 507) 1.08; (1.08, 1.08) EW07-2018; (EW07-2018, EW07-2018) 0.9955 −91.10% 183.3 excluded
Nigeria 190.9 Model average from EW44-2017 to EW22-2018 464; (458, 470) 1.33; (1.29, 1.37) EW09-2018; (EW08-2018, EW09-2018) NA NA NA NA
Nigeria 195.9 Baseline: AR(2) from EW44-2018 to EW13-2019 NA NA NA 0.9969 0.00% 98.8 NA
Nigeria 195.9 Richards from EW44-2018 to EW13-2019
Nigeria 195.9 Logistic from EW44-2018 to EW13-2019 623; (593, 653) 1.36; (1.32, 1.39) EW06-2019; (EW06-2019, EW07-2019) 0.9953 −54.00% 111.5 excluded
Nigeria 195.9 Gompertz from EW44-2018 to EW13-2019 669; (620, 717) 1.24; (1.21, 1.28) EW05-2019; (EW05-2019, EW06-2019) 0.9957 −39.40% 111.3 excluded
Nigeria 195.9 Weibull from EW44-2018 to EW13-2019 795; (670, 921) 1.08; (1.08, 1.09) EW06-2019; (EW05-2019, EW07-2019) 0.9951 −0.599 114.3 excluded
Nigeria 195.9 Model average from EW44-2018 to EW13-2019 NA NA NA NA NA NA NA
Edo state 4.2 Baseline: AR(2) from EW50-2017 to EW18-2018 NA NA NA 0.9901 0.00% 127.7 NA
Edo state 4.2 Richards from EW50-2017 to EW18-2018
Edo state 4.2 Logistic from EW50-2017 to EW18-2018 175; (173, 178) 1.62; (1.58, 1.66) EW09-2018; (EW08-2018, EW09-2018) 0.9984 83.70% 95.6 0.995
Edo state 4.2 Gompertz from EW50-2017 to EW18-2018 178; (174, 181) 1.46; (1.42, 1.50) EW08-2018; (EW08-2018, EW08-2018) 0.9976 75.40% 106.2 0.005
Edo state 4.2 Weibull from EW50-2017 to EW18-2018 182; (176, 189) 1.13; (1.13, 1.13) EW08-2018; (EW08-2018, EW08-2018) 0.9963 62.20% 115.3 0
Edo state 4.2 Model average from EW50-2017 to EW18-2018 175; (173, 178) 1.62; (1.58, 1.66) EW09-2018; (EW08-2018, EW09-2018) NA NA NA NA
Ondo state 4.7 Baseline: AR(2) from EW48-2017 to EW18-2018 NA NA NA 0.9917 0.00% 129.2 NA
Ondo state 4.7 Richards from EW48-2017 to EW18-2018
Ondo state 4.7 Logistic from EW48-2017 to EW18-2018 111; (108, 113) 1.41; (1.37, 1.45) EW07-2018; (EW06-2018, EW07-2018) 0.9946 35.40% 124.6 0.007
Ondo state 4.7 Gompertz from EW48-2017 to EW18-2018 114; (111, 117) 1.28; (1.26, 1.31) EW05-2018; (EW05-2018, EW06-2018) 0.9968 61.50% 114.7 0.99
Ondo state 4.7 Weibull from EW48-2017 to EW18-2018 128; (118, 138) 1.14; (1.13, 1.15) EW06-2018; (EW05-2018, EW06-2018) 0.9947 36.40% 126.3 0.003
Ondo state 4.7 Model average from EW48-2017 to EW18-2018 114; (111, 117) 1.28; (1.26, 1.31) EW05-2018; (EW05-2018, EW06-2018) NA NA NA NA
Ebonyi state 2.9 Baseline: AR(2) from EW45-2017 to EW18-2018 NA NA NA 0.9937 0.00% 117.8 NA
Ebonyi state 2.9 Richards from EW45-2017 to EW18-2018
Ebonyi state 2.9 Logistic from EW45-2017 to EW18-2018 63; (62, 64) 1.55; (1.51, 1.58) EW08-2018; (EW08-2018, EW08-2018) 0.9982 0.708 90 0.999
Ebonyi state 2.9 Gompertz from EW45-2017 to EW18-2018
Ebonyi state 2.9 Weibull from EW45-2017 to EW18-2018 66; (64, 69) 1.09; (1.09, 1.09) EW07-2018; (EW07-2018, EW07-2018) 0.997 52.60% 104.6 0.001
Ebonyi state 2.9 Model average from EW45-2017 to EW18-2018 63; (62, 64) 1.55; (1.51, 1.58) EW08-2018; (EW08-2018, EW08-2018) NA NA NA NA
Bauchi state 6.5 Baseline: AR(2) from EW49-2017 to EW16-2018 NA NA NA 0.9734 0.00% 50.2 NA
Bauchi state 6.5 Richards from EW49-2017 to EW16-2018 12; (11, 13) 1.34; (1.24, 1.44) EW12-2018; (EW11-2018, EW13-2018) 0.9936 76.00% 26.5 0.483
Bauchi state 6.5 Logistic from EW49-2017 to EW16-2018 13; (12, 14) 1.43; (1.37, 1.48) EW12-2018; (EW11-2018, EW12-2018) 0.993 73.70% 26.4 0.515
Bauchi state 6.5 Gompertz from EW49-2017 to EW16-2018
Bauchi state 6.5 Weibull from EW49-2017 to EW16-2018 17; (12, 21) 1.09; (1.08, 1.09) EW12-2018; (EW10-2018, EW13-2018) 0.9889 58.40% 37.5 0.002
Bauchi state 6.5 Model average from EW49-2017 to EW16-2018 13; (12, 14) 1.38; (1.31, 1.46) EW12-2018; (EW11-2018, EW13-2018) NA NA NA NA
Plateau state 4.2 Baseline: AR(2) from EW48-2017 to EW16-2018 NA NA NA 0.9576 0.00% 45.1 NA
Plateau state 4.2 Richards from EW48-2017 to EW16-2018
Plateau state 4.2 Logistic from EW48-2017 to EW16-2018 9; ( 8, 10) 1.40; (1.32, 1.47) EW12-2018; (EW11-2018, EW13-2018) 0.9847 63.90% 26.4 0.301
Plateau state 4.2 Gompertz from EW48-2017 to EW16-2018
Plateau state 4.2 Weibull from EW48-2017 to EW16-2018 16; ( 6, 25) 1.07; (1.05, 1.09) EW14-2018; (EW09-2018, EW19-2018) 0.9872 69.70% 24.7 0.699
Plateau state 4.2 Model average from EW48-2017 to EW16-2018 14; (7, 20) 1.17; (1.13, 1.21) EW13-2018; (EW10-2018, EW17-2018) NA NA NA NA
Edo state 4.3 Baseline: AR(2) from EW46-2018 to EW13-2019 NA NA NA 0.9919 0.00% 119 NA
Edo state 4.3 Richards from EW46-2018 to EW13-2019
Edo state 4.3 Logistic from EW46-2018 to EW13-2019 210; (194, 225) 1.37; (1.32, 1.42) EW07-2019; (EW06-2019, EW07-2019) 0.9907 −14.60% 127.3 excluded
Edo state 4.3 Gompertz from EW46-2018 to EW13-2019 232; (207, 257) 1.23; (1.19, 1.27) EW06-2019; (EW05-2019, EW06-2019) 0.994 25.70% 120.6 excluded
Edo state 4.3 Weibull from EW46-2018 to EW13-2019 307; (230, 384) 1.09; (1.08, 1.10) EW07-2019; (EW05-2019, EW09-2019) 0.9947 34.40% 118.1 1
Edo state 4.3 Model average from EW46-2018 to EW13-2019 307; (230, 384) 1.09; (1.08, 1.10) EW07-2019; (EW05-2019, EW09-2019) NA NA NA NA
Ondo state 4.8 Baseline: AR(2) from EW44-2018 to EW13-2019 NA NA NA 0.9941 0.00% 104.5 NA
Ondo state 4.8 Richards from EW44-2018 to EW13-2019 165; (155, 176) 1.31; (1.21, 1.41) EW06-2019; (EW05-2019, EW07-2019) 0.9927 −24.00% 115.2 excluded
Ondo state 4.8 Logistic from EW44-2018 to EW13-2019 170; (161, 179) 1.37; (1.33, 1.42) EW05-2019; (EW05-2019, EW06-2019) 0.9922 −32.40% 114.7 excluded
Ondo state 4.8 Gompertz from EW44-2018 to EW13-2019 176; (162, 190) 1.28; (1.23, 1.34) EW04-2019; (EW04-2019, EW05-2019) 0.991 −53.30% 119.9 excluded
Ondo state 4.8 Weibull from EW44-2018 to EW13-2019 193; (165, 221) 1.09; (1.09, 1.10) EW05-2019; (EW04-2019, EW06-2019) 0.9895 −78.00% 123.2 excluded
Ondo state 4.8 Model average from EW44-2018 to EW13-2019 NA NA NA NA NA NA NA
Ebonyi state 3 Baseline: AR(2) from EW48-2018 to EW13-2019 NA NA NA 0.9692 0.00% 89.5 NA
Ebonyi state 3 Richards from EW48-2018 to EW13-2019
Ebonyi state 3 Logistic from EW48-2018 to EW13-2019 41; (36, 46) 1.43; (1.32, 1.54) EW07-2019; (EW07-2019, EW08-2019) 0.9749 18.40% 91.2 excluded
Ebonyi state 3 Gompertz from EW48-2018 to EW13-2019
Ebonyi state 3 Weibull from EW48-2018 to EW13-2019 59; (35, 83) 1.10; (1.08, 1.13) EW08-2019; (EW05-2019, EW10-2019) 0.9853 52.40% 83.5 1
Ebonyi state 3 Model average from EW48-2018 to EW13-2019 59; (35, 83) 1.10; (1.08, 1.13) EW08-2019; (EW05-2019, EW10-2019) NA NA NA NA
Bauchi state 6.7 Baseline: AR(2) from EW48-2018 to EW13-2019 NA NA NA 0.9657 0.00% 74 NA
Bauchi state 6.7 Richards from EW48-2018 to EW13-2019
Bauchi state 6.7 Logistic from EW48-2018 to EW13-2019 49; (44, 53) 1.34; (1.27, 1.40) EW05-2019; (EW04-2019, EW06-2019) 0.979 38.80% 69.7 0.002
Bauchi state 6.7 Gompertz from EW48-2018 to EW13-2019
Bauchi state 6.7 Weibull from EW48-2018 to EW13-2019 137; ( 8, 266) 1.06; (1.03, 1.09) EW15-2019; (EW02-2019, EW41-2019) 0.9907 72.90% 57.1 0.998
Bauchi state 6.7 Model average from EW48-2018 to EW13-2019 137; (8, 266) 1.06; (1.03, 1.09) EW15-2019; (EW02-2019, EW40-2019) NA NA NA NA
Plateau state 4.3 Baseline: AR(2) from EW48-2018 to EW13-2019 NA NA NA 0.9679 0.00% 72.2 NA
Plateau state 4.3 Richards from EW48-2018 to EW13-2019 35; (33, 37) 1.37; (1.23, 1.49) EW06-2019; (EW04-2019, EW07-2019) 0.9875 61.10% 61.6 0.28
Plateau state 4.3 Logistic from EW48-2018 to EW13-2019 36; (34, 38) 1.52; (1.43, 1.60) EW05-2019; (EW04-2019, EW05-2019) 0.9851 53.70% 62.7 0.161
Plateau state 4.3 Gompertz from EW48-2018 to EW13-2019 36; (34, 37) 1.50; (1.38, 1.61) EW05-2019; (EW04-2019, EW05-2019) 0.9874 60.60% 61.8 0.253
Plateau state 4.3 Weibull from EW48-2018 to EW13-2019 37; (34, 39) 1.14; (1.13, 1.15) EW05-2019; (EW04-2019, EW05-2019) 0.9876 61.40% 61.4 0.306
Plateau state 4.3 Model average from EW48-2018 to EW13-2019 36; (34, 38) 1.35; (1.27, 1.43) EW05-2019; (EW04-2019, EW06-2019) NA NA NA NA

The ‘improvement’ is the partial R-squared. The ‘weight’ is the AIC-weight of the selected model, which is used for calculating the model-averaged estimates. The ‘NA’ means a summary term that is not applicable to a certain model. The notation ‘–’ means that the model cannot achieve a converging fitting outcome. The model-averaged estimates in each region are highlighted in grey.