Table 1.

Sample Correlations between the falciparum malaria incidence count per month and the explanatory variables in Dakar, Fatick, and Kedougou, from 2008 to 2016. These correlations are the maximum values in absolute value obtained at index ℓ. The statistical significance of these correlations is tested by calculating the p-value associated with the Pearson correlation coefficient by using the Scipy pearsonr() function, which returns the Pearson correlation coefficient along with the two-tailed p-value. Correlation, lag and p-values are reported.

	Dakar	Fatick	Kedougou
$Y_{\mathrm{o}}\left\{\mathrm{t}\right\}\mathrm{and}{R}_{t-𝓁}$	0.79	0.62	0.61
	$𝓁=2$	$𝓁=3$	$𝓁=1$
	$4.48\times {10}^{-23}$	$2.14\times {10}^{-12}$	$9.93\times {10}^{-12}$
$Y_{\mathrm{o}}\left\{\mathrm{t}\right\}\mathrm{and}{T}_{t-𝓁}$	0.65	0.43	0.56
	$𝓁=1$	$𝓁=4$	$𝓁=5$
	$8.73\times {10}^{-14}$	$5.04\times {10}^{-06}$	$4.86\times {10}^{-10}$
$Y_{\mathrm{o}}\left\{\mathrm{t}\right\}\mathrm{and}{H}_{t-𝓁}$	0.56	0.69	0.58
	$𝓁=5$	$𝓁=3$	$𝓁=1$
	$7.43\times {10}^{-10}$	$5.88\times {10}^{-16}$	$1.50\times {10}^{-10}$
$Y_{\mathrm{o}}\left\{\mathrm{t}\right\}\mathrm{and}{B}_{t-𝓁}$	0.15	0.38	0.60
	$𝓁=6$	$𝓁=3$	$𝓁=3$
	0.129	$5.99\times {10}^{-05}$	$3.16\times {10}^{-11}$
$Y_{\mathrm{o}}\left\{\mathrm{t}\right\}\mathrm{and}{A}_{t-𝓁}$	0.85	0.88	0.92
	$𝓁=0$	$𝓁=0$	$𝓁=0$
	$8.61\times {10}^{-30}$	$5.84\times {10}^{-35}$	$6.48\times {10}^{-43}$
$Y_{\mathrm{o}}\left\{\mathrm{t}\right\}\mathrm{and}{Y}_{\mathrm{o}}\{\mathrm{t}-𝓁\}$	0.72	0.75	0.80
	$𝓁=1$	$𝓁=1$	$𝓁=1$
	$9.55\times {10}^{-18}$	$1.31\times {10}^{-19}$	$4.28\times {10}^{-24}$