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Table 1 Descriptive analysis of Aedes aegypti Rapid Index Survey (LIRAa) measurements, Breteau Index (BI) and House Index (HI), during the period of 2014–2017, in Campina Grande, Paraíba, Brazil

From: Spatial modelling of the infestation indices of Aedes aegypti: an innovative strategy for vector control actions in developing countries

YearMonthnBreteau IndexHouse Index
LIRAaRangeMedianQ1Q3Mean ± SDRangeMedianQ1Q3Mean ± SD
20141. January510.3–4.41.31.002.51.84 ± 1.150.3–4.41.31.02.51.80 ± 1.15
2. March510.5–7.91.81.002.72.16 ± 1.480.5–7.71.81.02.62.08 ± 1.43
3. May510.3–10.23.22.34.33.54 ± 1.930.3–10.23.22.34.03.40 ± 1.84
4. July511.0–11.44.02.75.94.57 ± 2.761.00–11.43.62.55.74.14 ± 2.46
5. October510.9–7.03.32.63.93.02 ± 1.120.9–7.03.32.23.92.93 ± 1.17
20151. January511.7–12.15.03.45.64.86 ± 1.781.7–10.94.63.15.54.37 ± 1.68
2. March510.4–12.54.83.86.55.14 ± 2.270.4–12.54.83.85.44.86 ± 2.20
4. July513.7–20.57.86.49.78.31 ± 2.973.7–20.07.85.79.77.83 ± 2.83
5. October512.6–17.55.04.68.36.48 ± 2.922.6–17.25.04.47.56.25 ± 2.81
20161. April512.8–17.37.14.78.16.79 ± 2.362.6–17.07.14.68.06.57 ± 2.30
2. July512.5–9.34.53.36.24.61 ± 1.502.5–9.34.53.16.24.50 ± 1.54
3. October511.2–6.02.11.82.92.59 ± 1.251.2–5.52.11.72.92.50 ± 1.26
20171. January512.9–21.57.85.310.37.65 ± 3.562.9–21.56.84.710.07.36 ± 3.55
2. April510.7–11.84.33.86.05.15 ± 2.390.7–11.64.33.86.05.06 ± 2.31
3. July511.8–21.57.56.99.37.70 ± 3.131.8–21.57.56.39.07.40 ± 3.00
  1. Abbreviations: n, number of observations; MD – median; Q1, first quartile; Q3, third quartile; SD, standard deviation