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Table 5

GLM models testing the extent of seasonality in the prevalence of the different parasites studied. Notation: df – degrees of freedom, AIC – Akaike Information Criteria, Dev – Deviance, LTR p-value – Likelihood Ratio Tests p-value. The best model explaining the prevalence of each parasite is in bold.

Parasite Model df AIC Dev LRT p-value
Angiostrongylus cantonensis Constant 1 70.350 68.350
Seasonal 3 67.850 61.850 0.038
Aonchotheca erinacei Constant 1 104.487 102.490
Seasonal 3 107.892 101.890 0.743
Brachylaima sp. Constant 1 28.099 26.099
Seasonal 3 31.626 25.626 0.789
Crenosoma striatum Constant 1 81.670 79.670
Seasonal 3 82.267 76.267 0.182
Eucoleus sp. Constant 1 59.188 57.188
Seasonal 3 61.425 55.425 0.414
Gongylonema sp. Constant 1 82.363 80.363
Seasonal 3 84.313 78.313 0.359
Mathevotaenia sp. Constant 1 59.871 57.871
Seasonal 3 56.063 50.063 0.020 *
Moniliformis saudi + Constant 1 93.326 91.326
Seasonal 3 96.384 90.384 0.624
Physaloptera immerpani + Constant 1 34.450 32.450
Seasonal 3 36.990 30.990 0.481
Plagiorhynchus cylindraceus Constant 1 72.681 70.681
Seasonal 3 74.019 68.019 0.264
Spirura rytipleurites seurati Constant 1 34.450 32.450
Seasonal 3 36.990 30.990 0.481
*

Statistically significant effects of seasonality (LRT p-values < 0.05) are indicated with an asterisk.

+

First report in Atelerix algirus.

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