Assessment of Government Intervention Effectiveness in Scrubbing COVID-19 Pandemic and Its Pros and Cons on Educational Activities, the Case of Dire Dawa City

Figures & data

Table 1 Test of Association Between the Effectiveness of Government Intervention Measures Taken to Cease COVID-19 Pandemic in Dire Dawa City in the Year 2020 and Indicator Variables

Indicator Variables	Respondents’ Response Categories	Government Intervention Effectiveness to Cease COVID-19 in DDC						Chi-Square (Sig.)
		Not Effective		Effective		Total
		Count	%	Count	%	Count	%
Respondents level of knowledge about the pandemic	Very Poor	4	16.7%	20	83.3%	24	9.6%	18.167 (0.001)
	Poor	12	44.4%	15	55.6%	27	10.8%
	Neutral	10	47.6%	11	52.4%	21	8.4%
	Good	54	56.2%	42	43.8%	96	38.4%
	Very good	26	31.7%	56	68.3%	82	32.8%
Respondents Susceptibility to be infected with the novel coronavirus	Very unsusceptible	6	30.0%	14	70.0%	20	8.0%	10.363 (0.035)
	Unsusceptible	22	30.6%	50	69.4%	72	28.8%
	Neutral	30	50.0%	30	50.0%	60	24.0%
	Susceptible	47	50.5%	46	49.5%	93	37.2%
	Very Susceptible	1	20.0%	4	80.0%	5	2.0%
Illness severity due to the disease if happen	Not Very Sever	6	33.3%	12	66.7%	18	7.2%	18.102 (0.001)
	Not Sever	20	57.1%	15	42.9%	35	14.0%
	Neutral	40	31.0%	89	69.0%	129	51.6%
	Sever	28	58.3%	20	41.7%	48	19.2%
	Very Sever	12	60.0%	8	40.0%	20	8.0%
Knowledge how to protect from coronavirus	I do not know so much	3	16.7%	15	83.3%	18	7.2%	19.511 (0.001)
	I do not know	0	0.0%	2	100.0%	2	0.8%
	Neutral	4	14.3%	24	85.7%	28	11.2%
	I know	80	47.9%	87	52.1%	167	66.8%
	I know so much	19	54.3%	16	45.7%	35	14.0%
Avoiding an infection with the novel coronavirus in the current situation	Very difficult	29	28.4%	73	71.6%	102	40.8%	16.043 (0.003)
	Difficult	47	54.0%	40	46.0%	87	34.8%
	Neutral	9	42.9%	12	57.1%	21	8.4%
	Easy	13	46.4%	15	53.6%	28	11.2%
	Very easy	8	66.7%	4	33.3%	12	4.8%
Knowledge and Self-assessed adherence to preventive measures	Not follow at all	3	42.9%	4	57.1%	7	2.8%	18.455 (0.001)
	Not follow	1	33.3%	2	66.7%	3	1.2%
	Neutral	10	47.6%	11	52.4%	21	8.4%
	Follow	60	34.7%	113	65.3%	173	69.2%
	Follow much	32	69.6%	14	30.4%	46	18.4%
Feeling of respondents about the Closeness of COVID-19	Very close to me	16	51.6%	15	48.4%	31	12.4%	11.584 (0.021)
	Close to me	48	35.8%	86	64.2%	134	53.6%
	Neutral	13	35.1%	24	64.9%	37	14.8%
	Far away from me	27	62.8%	16	37.2%	43	17.2%
	Very far away from me	2	40.0%	3	60.0%	5	2%
Newness of the outbreak	Very new to me	16	38.1%	26	61.9%	42	16.8%	9.907 (0.042)
	New to me	59	48.4%	63	51.6%	122	48.8%
	Neutral	12	48.0%	13	52.0%	25	10.0%
	Old to me	10	50.0%	10	50.0%	20	8.0%
	Very old to me	9	22.0%	32	78.0%	41	16.4%
Spread ability of the pandemic	Spread very slowly	3	33.3%	6	66.7%	9	3.6%	14.754 (0.005)
	Spread Slowly	51	56.7%	39	43.3%	90	36.0%
	Neutral	5	62.5%	3	37.5%	8	3.2%
	Spread fast	26	31.0%	58	69.0%	84	33.6%
	Spread very fast	21	35.6%	38	64.4%	59	23.6%
Stressfulness of the disease	Very Stressful	17	32.1%	36	67.9%	53	21.2%	18.093 (0.001)
	Stressful	34	33.3%	68	66.7%	102	40.8%
	Neutral	16	47.1%	18	52.9%	34	13.6%
	Not stressful	33	62.3%	20	37.7%	53	21.2%
	Not very stressful	6	75.0%	2	25.0%	8	3.2%

Table 2 Test of Association Between Respondents’ Awareness About the Symptoms of the Novel Coronavirus and Government Intervention Effectiveness in Dire Dawa City in the Year 2020

Symptoms of the Disease	Respondents Response Categories	Government Intervention Effectiveness to Cease COVID-19 in DDC						Chi-Square (Sig)
		Not Effective		Effective		Total
		Count	%	Count	%	Count	%
Fever	Not Related	7	70.0%	3	30.0%	10	4.0%	15.193 (0.001)
	Yes related	99	44.2%	125	55.8%	224	89.6%
	I do not know	0	0.0%	16	100.0%	16	6.4%
Cough	Not Related	1	25.0%	3	75.0%	4	1.6%	8.280 (0.016)
	Yes Related	105	44.5%	131	55.5%	236	94.4%
	I do not know	0	0.0%	10	100.0%	10	4.0%
Shortness of breath	Not related	2	33.3%	4	66.7%	6	2.4%	6.291 (0.043)
	Yes related	94	46.1%	110	53.9%	204	81.6%
	I do not know	10	25.0%	30	75.0%	40	16.0%
Sore throat	Not Related	10	76.9%	3	23.1%	13	5.2%	7.136 (0.028)
	Yes related	64	42.1%	88	57.9%	152	60.8%
	I do not know	32	37.6%	53	62.4%	85	34.0%
Headaches	Not Related	9	69.2%	4	30.8%	13	5.2%	11.438 (0.003)
	Yes related	94	43.7%	121	56.3%	215	86.0%
	I do not know	3	13.6%	19	86.4%	22	8.8%
Fatigue (tiredness)	Not Related	17	41.5%	24	58.5%	41	16.4%	19.651 (0.000)
	Yes related	85	49.7%	86	50.3%	171	68.4%
	I do not know	4	10.5%	34	89.5%	38	15.2%
Loss of taste and smell	Not Related`	26	68.4%	12	31.6%	38	15.2%	14.495 (0.001)
	Yes related	53	41.7%	74	58.3%	127	50.8%
	I do not know	27	31.8%	58	68.2%	85	34.0%

Table 3 Test of Association Between Prevention Measures Practice Taken by the Respondents to Prevent Infection from the Novel Coronavirus and Government Intervention Effectiveness in Dire Dawa City in the Year 2020

Preventive Measures Taken by the Respondent to Prevent Infection from the Disease	Response Categories	Government Intervention Effectiveness to Cease COVID-19 in DDC							Chi-Square (Sig)
		Not Effective		Effective		Total
		Count	%	Count	%	Count	%
Hand washing for at least 20 seconds	No I do not	27	77.1%	8	22.9%	35	14.0%		20.115 (0.000)
	Yes I do	79	36.7%	136	63.3%	215	86.0%
Avoiding touching ones’ body with unwashed hands	No I do not	6	14.0%	37	86.0%	43	17.2%		17.207 (0.000)
	Yes I do	100	48.3%	107	51.7%	207	82.8%
Use of disinfectant/Sanitizers to clean hands	No I do not	27	33.8%	53	66.2%	80	32.0%		3.604 (0.05)
	Yes I do	79	46.5%	91	53.5%	170	68.0%
Physical distancing (keeping minimum 2 meters or 6 feet)	No I do not	16	61.5%	10	38.5%	26	10.4%		4.352 (0.037)
	Yes I do	90	40.2%	134	59.8%	224	89.6%
Disinfecting surfaces	No I do not	43	64.2%	24	35.8%	67	26.8%		17.777 (0.000)
	Yes I do	63	34.4%	120	65.6%	183	73.2%

Table 4 Test of Association Between Effective Preventive Methods of the Pandemic and Government Intervention Effectiveness in Dire Dawa City in 2020

Effective Preventive Methods of the Pandemic	Response Categories	Not Effective		Effective		Chi-Square (Sig.)
		Count	%	Count	%
Being at home if there is sickness	No its not	6	10.9%	49	89.1%	28.633 (0.000)
	Yes its	99	51.3%	94	48.7%
	I do not know	1	50.0%	1	50.0%
Herbal supplements	No its not	57	43.5%	74	56.5%	7.084 (0.029)
	Yes its	30	34.1%	58	65.9%
	I do not know	19	61.3%	12	38.7%
Getting the flu vaccine	No its not	60	58.8%	42	41.2%	32.940 (0.000)
	Yes its	26	22.8%	88	77.2%
	I do not know	20	58.8%	14	41.2%
Using antibiotics	No its not	6	42.9%	8	57.1%	7.819 (0.020)
	Yes its	95	45.7%	113	54.3%
	I do not know	5	17.9%	23	82.1%
Using homeopathic remedies	No its not	18	29.5%	43	70.5%	6.978 (0.031)
	Yes its	23	54.8%	19	45.2%
	I do not know	65	44.2%	82	55.8%
Self-isolation	No its not	8	61.5%	5	38.5%	19.252 (0.000)
	Yes its	95	46.8%	108	53.2%
	I do not know	3	8.8%	31	91.2%
Disinfecting surfaces	No its not	10	71.4%	4	28.6%	5.316 (0.070)
	Yes its	81	41.3%	115	58.7%
	I do not know	15	37.5%	25	62.5%
Disinfecting the mobile phone	No its not	3	23.1%	10	76.9%	7.711 (0.021)
	Yes its	92	46.9%	104	53.1%
	I do not know	11	26.8%	30	73.2%

Table 5 Test of Association Between Short-Long Term Effects of Government Intervention and Its Effectiveness in Dire Dawa City in the Year 2020

Short and Long Term Effects of Government Intervention	Response Categories	Government Intervention Effectiveness to Cease COVID-19 in DDC						Chi-Square (Sig.)
		Not Effective		Effective		Total
		Count	%	Count	%	Count	%
Sufficiency of government intervention measures	Not sufficient	104	56.2%	81	43.8%	185	74.0%	55.615 (0.000)
	Yes its sufficient I do not know	2	3.1%	63	96.9%	65	26.0%
Individual effectiveness in using government the prevention measure	Not effective	78	50.6%	76	49.4%	154	61.6%	11.175 (0.001)
	Yes I am effective	28	29.2%	68	70.8%	96	38.4%
Advantage of government intervention in scrubbing the disease	Reduce prevalence	17	34.0%	33	66.0%	50	20.0%	11.990 (0.035)
	Reduce Death rate or increasing recovery rate	4	30.8%	9	69.2%	13	5.2%
	Helping who need any support	5	33.3%	10	66.7%	15	6.0%
	Raising awareness of the community	35	36.8%	60	63.2%	95	38.0%
	All	41	58.6%	29	41.4%	70	28.0%
	Others	4	57.1%	3	42.9%	7	2.8%
Importance rate of the intervention	Not very important	4	36.4%	7	63.6%	11	4.4%	11.796 (0.019)
	Not important	4	57.1%	3	42.9%	7	2.8%
	Neutral	2	22.2%	7	77.8%	9	3.6%
	Important	60	53.1%	53	46.9%	113	45.2%
	Very Important	36	32.7%	74	67.3%	110	44.0%
Limitation of government intervention to cease the disease	It’s not early applicable	18	45.0%	22	55.0%	40	16.0%	7.523 (0.057)
	It’s not consider all the real situation of the city	67	41.9%	93	58.1%	160	64.0%
	It does not has any limitation or its good	13	32.5%	27	67.5%	40	16.0%
	I do not know	8	80.0%	2	20.0%	10	4.0%
Limitation of the surrounding community in co-operating to cease the disease	Never follow government preventive measures at all	57	44.9%	70	55.1%	127	50.8%	15.263 (0.002)
	Follow government preventive measures a bit	42	47.7%	46	52.3%	88	35.2%
	Others	6	50.0%	6	50.0%	12	4.8%
	I do not know	1	4.3%	22	95.7%	23	9.2%
Individual limitation in cooperating to cease the disease	Not follow government preventive measures at all	9	34.6%	17	65.4%	26	10.4%	23.249 (0.000)
	Not follow government preventive measures	53	33.3%	106	66.7%	159	63.6%
	Others	12	63.2%	7	36.8%	19	7.6%
	I do not know	32	69.6%	14	30.4%	46	18.4%
Respondents attitude towards the 14 days quarantine	Not good attitude at all	8	50.0%	8	50.0%	16	6.4%	14.182 (0.007)
	Not good attitude	3	60.0%	2	40.0%	5	2.0%
	Neutral	8	47.1%	9	52.9%	17	6.8%
	Good attitude	74	48.7%	78	51.3%	152	60.8%
	Very good attitude	13	21.7%	47	78.3%	60	24.0%
Responses by surrounding community to help each other	Cloth Sharing	3	30.0%	7	70.0%	10	4.0%	13.728 (0.017)
	Meal sharing	34	46.6%	39	53.4%	73	29.2%
	House rent exemption and postpone	4	44.4%	5	55.6%	9	3.6%
	All	47	35.6%	85	64.4%	132	52.8%
	I did not see nothing	18	69.2%	8	30.8%	26	10.4%

Table 6 Test of Association Between Government Intervention Effectiveness to Cease the Disease and Its Cons on the Respondents’ Educational Activities in Dire Dawa City in the Year 2020

Negative Impact of Intervention Methods Held for Mitigating the Pandemic in the City	Response Categories	Not Effective		Effective		Chi-Square (Sig.)
		Count	%	Count	%
Teachers are obligated to stay at home	No its not	29	53.7%	25	46.3%	9.565 (0.008)
	Yes its	77	41.2%	110	58.8%
	I do not know	0	0.0%	9	100.0%
Respondents’ Fear of unemployment	No its not	34	34.3%	65	65.7%	7.206 (0.027)
	Yes its	72	48.6%	76	51.4%
	I do not know	0	0.0%	3	100.0%
Stress	No its not	41	59.4%	28	40.6%	11.322 (0.003)
	Yes its	63	36.0%	112	64.0%
	I do not know	2	33.3%	4	66.7%
Un able to conduct Professional activities	No its not	17	23.6%	55	76.4%	15.987 (0.000)
	Yes its	87	50.9%	84	49.1%
	I do not know	2	28.6%	5	71.4%
Cancellation of Training Schedules	No its not	31	68.9%	14	31.1%	19.249 (0.000)
	Yes its	68	35.1%	126	64.9%
	I do not know	7	63.6%	4	36.4%
Loss of motivation teach again (in the long ran)	No its not	34	61.8%	21	38.2%	11.094 (0.004)
	Yes its	70	37.2%	118	62.8%
	I do not know	2	28.6%	5	71.4%

Table 7 Test of Association Between Government Intervention Effectiveness to Cease the COVID-19 and Its Positive Impact on the Respondents’ Activities

Positive Impact of Intervention Measures Taken by the Government to Mitigate the Pandemic	Response Categories	Not Effective		Effective		Chi-Square (Sig.)
		Count	%	Count	%
Teachers are able to give Family care	No I did not	26	70.3%	11	29.7%	14.168 (0.001)
	Yes I do	80	37.6%	133	62.4%
Have got time for watching movies	No I did not	27	31.4%	59	68.6%	6.796 (0.033)
	Yes I do	76	47.8%	83	52.2%
	I do not know	3	60.0%	2	40.0%
Have got time for doing physical activity	No I did not	33	28.2%	84	71.8%	18.473 (0.000)
	Yes I do	73	54.9%	60	45.1%

Table 8 Test of Association Between Government Intervention Effectiveness to Cease the COVID-19 and the Respondents’ Trust in the Sources of Information in Their Reporting About the Outbreak

Respondents’ Trust in the Sources of Information	Response Categories	Not Effective		Effective		Chi-Square (Sig.)
		Count	%	Count	%
Public television stations	No I do not trust	28	57.1%	21	42.9%	6.392 (0.041)
	Yes I trust	76	38.4%	122	61.6%
	I do not know	2	66.7%	1	33.3%
Conversations with colleagues	No I do not trust	31	58.5%	22	41.5%	7.714 (0.021)
	Yes I trust	73	38.6%	116	61.4%
	I do not know	2	25.0%	6	75.0%
Consultation with health workers	No I do not trust	18	66.7%	9	33.3%	8.182 (0.017)
	Yes I trust	85	39.0%	133	61.0%
	I do not know	3	60.0%	2	40.0%
Private radio stations	No I do not trust	46	63.0%	27	37.0%	20.474 (0.000)
	Yes I trust	52	32.1%	110	67.9%
	I do not know	8	53.3%	7	46.7%
Official, government press releases	No I do not trust	24	40.0%	36	60.0%	8.276 (0.016)
	Yes I trust	74	40.9%	107	59.1%
	I do not know	8	88.9%	1	11.1%
Medical institutions press releases	No I do not trust	23	62.2%	14	37.8%	8.829 (0.012)
	Yes I trust	78	38.0%	127	62.0%
	I do not know	5	62.5%	3	37.5%
Opinion polls	No I do not trust	46	55.4%	37	44.6%	8.954 (0.011)
	Yes I trust	54	36.7%	93	63.3%
	I do not know	6	30.0%	14	70.0%

Table 9 Test of Association Between Government Intervention Effectiveness to Cease the COVID-19 and Types Information Respondents Mostly Need Related to

Types Information Respondents Mostly Need Related to	Response Categories	Not Effective		Effective		Chi-Square (Sig.)
		Count	%	Count	%
Personal stories from other people on how they cope with the pandemic situation	No	21	26.2%	59	73.8%	12.564 (0.000)
	Yes	85	50.0%	85	50.0%
How they can take care of a person who belongs to a risk group	No	38	29.7%	90	70.3%	17.357 (0.000)
	Yes	68	55.7%	54	44.3%
How they can best take care of their children’s school education	No	29	63.0%	17	37.0%	9.837 (0.002)
	Yes	77	37.7%	127	62.3%
How the novel coronavirus is different from other diseases such as flu	No	36	35.0%	67	65.0%	3.979 (0.046)
	Yes	70	47.6%	77	52.4%
How they will be impacted economically by the pandemic	No	15	19.0%	64	81.0%	25.923 (0.000)
	Yes	91	53.2%	80	46.8%
How to maintain their mental health during the isolation time	No	44	33.8%	86	66.2%	8.114 (0.004)
	Yes	62	51.7%	58	48.3%

Table 10 Test of Association Between Government Intervention Effectiveness to Cease the COVID-19 and the Frequency of Respondent to Inform Themselves About the Novel Coronavirus per Day

Indicator Variable		Response Categories	Not Effective		Effective		Chi-Square (Sig.)
			Count	%	Count	%
Frequency of Information respondents inform to themselves per day	Never	8	19.5%	33	80.5%
	Not Several times a day	8	53.3%	7	46.7%
	Several times a day	33	37.9%	54	62.1%
	Many Times a day	15	62.5%	9	37.5%		16.497 (0.002)

Table 11 Test of Association Between Government Intervention Effectiveness to Cease the COVID-19 and Respondents Use of Sources of Information to Stay Informed About Novel Coronavirus

Respondents Use of Sources of Information to Stay Informed About Novel Coronavirus	Response Categories	Not Effective		Effective		Chi-Square (Sig.)
		Count	%	Count	%
Daily or weekly newspapers	Never	34	38.2%	55	61.8%	15.309 (0.004)
	Rarely	9	21.4%	33	78.6%
	Sometimes	37	56.1%	29	43.9%
	Often	18	45.0%	22	55.0%
	Always	8	61.5%	5	38.5%
Conversations with family and friends	Never	2	50.0%	2	50.0%	16.308 (0.003)
	Rarely	18	50.0%	18	50.0%
	Sometimes	27	30.3%	62	69.7%
	Often	25	37.3%	42	62.7%
	Always	34	63.0%	20	37.0%
Conversation with colleagues	Never	9	60.0%	6	40.0%	23.639 (0.000)
	Rarely	23	41.8%	32	58.2%
	Sometimes	32	34.0%	62	66.0%
	Often	16	30.8%	36	69.2%
	Always	26	76.5%	8	23.5%
Private television stations	Never	8	42.1%	11	57.9%	13.323 (0.000)
	Rarely	6	22.2%	21	77.8%
	Sometimes	45	45.5%	54	54.5%
	Often	26	35.6%	47	64.4%
	Always	21	65.6%	11	34.4%
Websites or online news pages	Never	13	100.0%	0	0.0%	45.993 (0.000)
	Rarely	16	18.4%	71	81.6%
	Sometimes	35	45.5%	42	54.5%
	Often	19	52.8%	17	47.2%
	Always	23	62.2%	14	37.8%
Social media (eg Facebook, Twitter, YouTube, WhatsApp)	Never	6	75.0%	2	25.0%	19.236 (0.001)
	Rarely	6	37.5%	10	62.5%
	Sometimes	36	55.4%	29	44.6%
	Often	39	47.0%	44	53.0%
	Always	19	24.4%	59	75.6%
Private radio stations	Never	40	43.0%	53	57.0%	15.532 (0.004)
	Rarely	25	50.0%	25	50.0%
	Sometimes	11	20.8%	42	79.2%
	Often	19	52.8%	17	47.2%
	Always	11	61.1%	7	38.9%
Official, government press releases	Never	9	42.9%	12	57.1%	15.128 (0.004)
	Rarely	23	63.9%	13	36.1%
	Sometimes	19	28.8%	47	71.2%
	Often	33	37.9%	54	62.1%
	Always	22	55.0%	18	45.0%
Medical institutions press releases	Never	11	57.9%	8	42.1%	19.748 (0.001)
	Rarely	18	56.2%	14	43.8%
	Sometimes	18	27.7%	47	72.3%
	Often	28	33.7%	55	66.3%
	Always	31	60.8%	20	39.2%
Opinion polls	Never	58	47.5%	64	52.5%	16.417 (0.003)
	Rarely	15	24.2%	47	75.8%
	Sometimes	9	39.1%	14	60.9%
	Often	11	44.0%	14	56.0%
	Always	13	72.2%	5	27.8%
Celebrities and social media influencers	Never	17	53.1%	15	46.9%	10.340 (0.035)
	Rarely	30	41.7%	42	58.3%
	Sometimes	29	34.1%	56	65.9%
	Often	16	39.0%	25	61.0%
	Always	14	70.0%	6	30.0%

Table 12 Test of Association Between Government Intervention Effectiveness to Cease the COVID-19 and Trust (Perceptions) of Respondents in Institutions Those Inform Them About the Disease

Trust (Perceptions) of Respondents in Institutions Those Inform Them About the Disease	Response Categories	Not Effective		Effective		Chi-Square (Sig.)
		Count	%	Count	%
Respondents Employer (if applicable)	Very Low	49	47.1%	55	52.9%	11.068 (0.026)
	Low	11	22.9%	37	77.1%
	Neutral	26	53.1%	23	46.9%
	High	16	39.0%	25	61.0%
	Very High	4	50.0%	4	50.0%
Media	Very Low	10	21.3%	37	78.7%	14.858 (0.005)
	Low	14	58.3%	10	41.7%
	Neutral	20	44.4%	25	55.6%
	High	52	43.7%	67	56.3%
	Very High	10	66.7%	5	33.3%
Other opinion leaders	Very Low	37	39.8%	56	60.2%	13.348 (0.010)
	Low	26	34.2%	50	65.8%
	Neutral	12	36.4%	21	63.6%
	High	27	67.5%	13	32.5%
	Very High	4	50.0%	4	50.0%
Ministry of Health	Very Low	3	33.3%	6	66.7%	39.227 (0.000)
	Low	8	61.5%	5	38.5%
	Neutral	4	25.0%	12	75.0%
	High	54	69.2%	24	30.8%
	Very High	37	27.6%	97	72.4%
Medical professional associations	Very Low	6	50.0%	6	50.0%	11.155 (0.025)
	Low	14	35.9%	25	64.1%
	Neutral	34	32.7%	70	67.3%
	High	41	56.2%	32	43.8%
	Very High	11	50.0%	11	50.0%
Schools	Very Low	15	39.5%	23	60.5%	11.907 (0.018)
	Low	27	30.3%	62	69.7%
	Neutral	26	51.0%	25	49.0%
	High	29	49.2%	30	50.8%
	Very High	9	69.2%	4	30.8%
Kindergartens	Very Low	40	38.5%	64	61.5%	16.004 (0.003)
	Low	17	30.4%	39	69.6%
	Neutral	13	40.6%	19	59.4%
	High	30	68.2%	14	31.8%
	Very High	6	42.9%	8	57.1%
Public transportation companies	Very Low	11	24.4%	34	75.6%	11.403 (0.022)
	Low	46	46.0%	54	54.0%
	Neutral	15	50.0%	15	50.0%
	High	25	54.3%	21	45.7%
	Very High	9	31.0%	20	69.0%
Police	Very Low	5	14.3%	30	85.7%	28.072 (0.000)
	Low	14	32.6%	29	67.4%
	Neutral	41	40.6%	60	59.4%
	High	28	62.2%	17	37.8%
	Very High	18	69.2%	8	30.8%
Army	Very Low	14	63.6%	8	36.4%	25.814 (0.000)
	Low	37	37.4%	62	62.6%
	Neutral	10	31.2%	22	68.8%
	High	35	66.0%	18	34.0%
	Very High	10	22.7%	34	77.3%
The President/Prime Minister	Very Low	7	58.3%	5	41.7%	10.525 (0.032)
	Low	4	44.4%	5	55.6%
	Neutral	26	59.1%	18	40.9%
	High	46	41.8%	64	58.2%
	Very High	23	30.7%	52	69.3%

Table 13 Summary Statistics of the Likelihood Ratio Test

−2 Log Likelihood		Likelihood Ratio Tests.
Null Model (Intercept Only)	Final Model	Chi-Square	D.F.	Sig.
340.775	159.485	181.290	14	0.000

Table 14 Model Summary

−2 Log Likelihood	Cox & Snell R Square	Nagelkerke R Square
181.290	0.472	0.634

Table 15 Hosmer and Lemeshow Test

Chi-square	D.F.	Sig.
12.701	8	0.123

Table 16 Classification Table for the Logistic Regression

Observed		Predicted
		Government Intervention Effectiveness		Percentage
		Not Effective	Effective
Government intervention effectiveness	Not effective	95	11	89.6
	Effective	22	122	84.7
Overall Percentage				86.8

Table 17 Variables in the Final Multiple Classical Binary Logistic Regression Model

Predictors		S.E.()	Wald	D.F.	Sig.		95% C.I. for
							Lower	Upper
Avoiding touching ones’ body with unwashed hands (1)	2.5	0.755	10.803**	1	0.001	11.940	2.721	52.391
Disinfecting surfaces (1)	−1.9	0.505	13.441**	1	0.000	0.157	0.058	0.423
Fatigue (tiredness)			9.435**	2	0.009
Fatigue (1)	−2.7	0.879	9.296**	1	0.002	0.069	0.012	0.384
Fatigue (2)	−1.5	0.707	4.192*	1	0.041	0.235	0.059	0.940
Getting the flu vaccine as an effective preventive method			9.919**	2	0.007
Getting the flu vaccine (1)	0.11	0.562	0.041	1	0.839	1.121	0.373	3.372
Getting the flu vaccine (2)	1.42	0.586	5.850*	1	0.016	4.124	1.308	12.999
An individual limitation in cooperating to cease the disease			14.227**	3	0.003
An individual limitation in cooperating to cease the disease (1)	2.66	0.736	13.051**	1	0.000	14.270	3.374	60.361
An individual limitation in cooperating to cease the disease (2)	1.33	0.506	6.866**	1	0.009	3.766	1.397	10.152
An individual limitation in cooperating to cease the disease (3)	0.99	0.683	2.103	1	0.147	2.692	0.706	10.265
How to maintain ones mental health during the isolation as mostly needed types of information (1)	1.55	0.500	9.657**	1	0.002	4.728	1.775	12.594
Hand washing practice for at least 20 seconds (1)	3.28	0.844	15.104**	1	0.000	26.628	5.088	139.367
Family care practice of educators during the lockdown as Pros of the government intervention	1.88	0.604	9.659**	1	0.002	6.544	2.001	21.396
Self-isolation as effective preventive method			5.733	2	0.057
Self-isolation (1)	−2.2	1.165	3.708	1	0.054	0.106	0.011	1.041
Self-isolation (2)	−1.9	0.829	5.574*	1	0.018	0.141	0.028	0.717
Constant	−3.3	1.546	4.553*	1	0.033	0.037

Notes: **Significant at the 1% level, *significant at the 5% level.

Figure 1 Bar chart, the respondent educators’ level of knowledge about the pandemic in Dire Dawa City in 2020. From Figure 1, one can see that majority of the respondents have good knowledge about the pandemic in Dire Dawa City at the time of the study.

Figure 2 The rating of the timing of government intervention measures to scrub the disease in Dire Dawa City. From Figure 2, one can visualize that 49.2% of the respondent educators rate the government's intervention measures timing was not early in Dire Dawa City.

Figure 3 Bar chart shows the respondents, level of worry or feeling level about COVID-19 in Dire Dawa City. From Figure 3, one can visualize that 43.6% of the respondent educators’ rate they felt worrying about the pandemic in Dire Dawa City.