From: Methods used in the spatial analysis of tuberculosis epidemiology: a systematic review

Method category | Method | Number | References |
---|---|---|---|

Visualisation | Rate map | 63 | [12, 16, 23, 26, 27, 29,30,31,32,33,34, 37, 41, 44,45,46, 48, 51, 52, 57, 58, 60, 61, 70, 100, 102, 103, 105, 106, 120, 123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146, 164, 165, 170, 173,174,175,176, 195, 196] |

Dot map | 37 | [2, 7, 8, 35, 40, 47, 53, 54, 59, 66, 67, 72, 73, 75, 95, 107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122, 158, 166, 169, 178, 191, 197] | |

SMR map | 12 | [38, 49, 99, 100, 124, 126, 127, 129, 138, 142, 148, 149] | |

Kernel density map | 7 | [35, 37, 62, 93, 120, 147, 171] | |

Case counts maps | 3 | [108, 167, 172] | |

Others* | 17 | [16, 24, 50, 60, 62, 63, 68, 71, 99, 100, 103, 104, 116, 148, 166, 168, 185, 198] | |

Spatial cluster analysis |
Global Moran’s I
| 28 | [16, 26, 34, 37, 39, 44, 48, 49, 51, 58, 65, 93, 100, 102, 123, 126, 128, 131, 133, 135, 138, 139, 145, 150, 161, 180, 188, 199] |

Local Moran’s I
| 14 | [16, 41, 44, 49, 51, 93, 100, 123, 126, 131, 135, 138, 145, 192] | |

Kulldorff’s spatial scan statistic | 43 | [1, 2, 23,24,25,26,27,28,29,30,31,32, 40, 57, 63, 64, 70, 71, 94, 109,110,111, 119, 120, 130, 135, 138, 139, 141, 151,152,153,154,155,156,157,158,159,160, 163, 164, 166, 191] | |

GetisOrd statistic | 12 | [2, 16, 26, 39, 49, 54, 65, 93, 104, 131, 139, 161] | |

k-NN
| 8 | [35, 53, 69, 72, 93, 114, 122, 163] | |

k-function
| 6 | [35, 62, 93, 116, 117, 147] | |

Besag and Newell statistic | 2 | [125, 145] | |

Statistical modelling | Bayesian CAR models | 7 | [38, 44, 49, 99, 101, 127, 148] |

Geographically weighted regression | 6 | [16, 50, 93, 102,103,104] | |

Mixture modelling | 2 | [142, 149] | |

Conventional logistic | 15 | [8, 40, 70, 71, 94, 95, 111, 112, 120, 141, 161, 177, 178, 187, 189] | |

Conventional Poisson | 5 | [46, 125, 136, 145, 156] | |

Conventional linear | 5 | [12, 47, 129, 137, 176] | |

Negative binomial | 1 | [164] | |

Factor analysis | 6 | [50, 103, 117, 143, 146, 170] | |

Regression models with spatial terms | 9 | [42, 48, 51, 58, 100, 116, 128, 131, 188] | |

Spatial prediction | 11 | [38, 42, 43, 62, 80, 99, 101, 127, 131, 148, 181] |