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Table 2 Clusters of high and low prevalences of P. falciparum infection detected using the spatial scan statistic

From: Clustering of asymptomatic Plasmodium falciparum infection and the effectiveness of targeted malaria control measures

Spatial clustering by year and season\( \overline{\text{x}} \) inside cluster\( \overline{\text{x}} \) outside clusterCluster size (km)Std dev of clustersp-value
 Years# HH’sCases
Dangassa2012–163223930.0143.200.1331.520.001
Dioro2012–1613100.026.700.0030.990.159
Gambissara2012–1616100.06.120.0012.070.001
Madina Fall2012–161225.000.480.003.300.021
Spatial clustering by year and season\( \overline{\text{x}} \) inside cluster\( \overline{\text{x}} \) outside clusterCluster size (km)Std dev of clustersp-value
Dry seasonYears# HH’sCases
Dangassa2012–163211024.5739.000.1330.440.009
Dioro2012–1612100.018.610.0027.740.240
Gambissara2012–16167227.396.031.5214.120.001
Madina fall2012–163911.110.550.084.350.284
Spatial clustering by year and season\( \overline{\text{x}} \) inside cluster\( \overline{\text{x}} \) outside clusterCluster size (km)Std dev of clustersp-value
Wet seasonYears# HH’sCases
Dangassa2012–163511934.9147.960.1231.920.043
Dioro2012–1614100.034.330.0031.760.073
Gambissara2012–1613100.03.820.008.560.001
Madina Fall2012–16146.250.280.002.100.284
Temporal clustering—year and season\( \overline{\text{x}} \) inside cluster\( \overline{\text{x}} \) outside clusterCluster size (km)Std dev of clustersp-value
Dry seasonYears# HH’sCases
Dangassa2013–201423941648.5424.98NA28.490.001
Dioro201530523843.3810.68NA24.160.001
Gambissara2014–20161413976.6814.35NA15.480.001
Madina Fall20131461442.020.12NA4.530.001
Temporal clustering—year and season\( \overline{\text{x}} \) inside cluster\( \overline{\text{x}} \) outside clusterCluster size (km)Std dev of clustersp-value
Wet seasonYears# HH’sCases
Dangassa2014–201523935355.8237.58NA30.960.001
Dioro201430517663.2728.42NA29.130.001
Gambissara2013–20141412675.263.42NA11.160.282
Madina Fall2014146910.800.23NA2.160.097
Space/time clustering—year/season\( \overline{\text{x}} \) inside cluster\( \overline{\text{x}} \) outside clusterCluster size (km)Std dev of clustersp-value
Dry seasonYears# HH’sCases
Dangassa2014565066.0835.140.9229.920.001
Dioro2015815752.9816.620.2826.630.001
Gambissara2013–201513100.008.330.0014.340.001
Madina Fall20133333.330.550.083.680.049
Space/time clustering—year/season\( \overline{\text{x}} \) inside cluster\( \overline{\text{x}} \) outside clusterCluster size (km)Std dev of clustersp-value
Wet seasonYears# HH’sCases
Dangassa2016604321.0747.410.6131.700.002
Dioro2014675370.9732.540.1630.840.001
Gambissara2012–201413100.003.820.008.560.001
Madina Fall2013–20141212.500.280.002.030.333
  1. HH household; \( \overline{\text{x}} \) mean value
  2. The results provided were generated for the spatial, temporal and spatiotemporal analyses performed using the Spatial Scan Statistic. Each row represents the most likely cluster (based on the most significant p-value). Note that each row shows only the most likely cluster and that secondary clusters are not shown for brevity