Table 3. Testing for intervention effects.

The null hypothesis (H_o) is no intervention effect.

Date	Intervention Type	Time (days)	Coeff. Estimates (95% Confidence Interval)	Multiplicative effect (rate of infection)	Comment (Below 1 = decrease; Above 1 = increase)
March 12–16	Intervention Period 1	5<intervention< = 10	0.223	Exp (0.223) = 1.250	25% increase in the rate of infection. However, there is no significant impact
			[-0.676; 1.130]
March 17–22	Intervention Period 2	10<intervention< = 18	-0.066	Exp (-0.066) = 0.936	6% decrease in the rate of infection. No significant impact
			[-0.829; 0.683]
March 23–30	Intervention Period 3	18<intervention< = 38	0.445	Exp (0.445) = 1.560	56% increase in the rate of infection. However, this is not statistically significant.
			[-0.083; 1.035]
March 31 –April 20	Intervention Period 4	38<intervention< = 44	-0.382***	Exp (-0.382) = 0.682	Statistically significant 32% decline in rate of infection.
			[-1.003; -0.145]
April 21–26	Intervention Period 5	44<intervention< = 79	0.129	Exp (0.129) = 1.138	14% increase in rate of infection. However, this not statistically significant impact
			[-0.325; 0.716]
>27 April	Intervention Period 6	Intervention>79	0.043	Exp (0.043) = 1.044	4% increase in rate of infection. However, this not statistically significant impact
			[-0.163; 0.283]

Source: Authors’ estimates | *** highly significant (<0.001)