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Table 4 Spatiotemporal clusters of VL cases identified with SaTScan discrete Poisson model. Five statistically significant spatiotemporal clusters (outbreaks) were identified. The cluster numbering corresponds with the numbers in Fig. 6.

From: An epidemiological and spatiotemporal analysis of visceral leishmaniasis in West Pokot, Kenya, between 2018 and 2022

Cluster

Radius (km)

Time frame

Total cluster populationa

Cases

Male (%)

Median age (years) [IQR]

% of totalb

Expected cases

RR

p-value

1 (MLC)

20.23

6/2020 to 10/2022

2,403

287

61.7

10 [5–20]

23.2

9.69

37.33

< 0.001

2

19.39

10/2020 to 11/2022

13,783

194

70.5

10 [5–15]

16.9

49.76

4.38

< 0.001

3

12.59

2/2022 to 6/2022

15,733

39

56.4

6 [3–12]

12.1

10.77

3.70

< 0.001

4

8.86

2/2020 to 9/2020

3,574

21

61.9

8 [5–16]

8.0

3.96

5.37

< 0.001

5

NAc

1/2018 to 3/2020

282

10

60.0

15 [7–19]

1.7

1.06

9.53

0.019

  1. MLC: most likely cluster; NA: not applicable; RR: relative risk
  2. a Population of villages in cluster that reported at least one VL case between 2018 and 2022
  3. b Proportion of all VL cases reported in the cluster period
  4. c Cluster consisted of a single village