| Literature DB >> 35692959 |
Abstract
Given the public resentment that trailed the unprecedented lockdown order enforced as a public health emergency control strategy to contain the spread of Coronavirus Disease (COVID-19) pandemic, this study explored citizens' compliance with the order and how its enforcement occasioned illegal police practices in Nigeria. With a qualitative approach, this study recruited 90 participants using varieties of sampling methods to understand public behaviour and police conduct in the enforcement of the order. From the insights gathered with a semi-structured interview and analysed with the thematic analysis method, the study observed that economic hardship, unavoidable matters from the citizens' end and mistrust of authorities fueled non-compliance. Such mistrust amplified misinformation during the pandemic. Although there was a reasonable level of compliance, the pre-existing police illegalities (extortion and bribery) facilitated the cases of non-compliance in Nigeria. Also, hostility ensued between police personnel and citizens during the enforcement of the lockdown. Therefore, this study advised the government and stakeholders on the imperatives of adequate socio-economic preparations, emphasising public trust and the provision of relief materials. Additionally, it suggested to the police authorities reform ideas to better equip, monitor, and manage police resources for effective handling of future pandemics.Entities:
Keywords: COVID-19; Compliance; Enforcement; Lockdown; Nigeria; Police illegalities
Year: 2022 PMID: 35692959 PMCID: PMC9172274 DOI: 10.1016/j.ijdrr.2022.103082
Source DB: PubMed Journal: Int J Disaster Risk Reduct ISSN: 2212-4209 Impact factor: 4.842
Fig. 1COVID-19 Response Framework (Amzat et al., 2020) [3].
Fig. 2The map of ilorin within kwara state (raheem, 2011) [71].
Demographic profile of participants.
| Variables | n (%) |
|---|---|
| Age (Years) | |
| 18–25 | 17 (28.3) |
| 26–35 | 7 (11.7) |
| 36–45 | 12 (20) |
| 46–55 | 8 (13.3) |
| 56 – Above | 16 (26.7) |
| Gender | |
| Male | 35 (58.3) |
| Female | 25 (41.7) |
| Marital Status | |
| Single | 13 (21.7 |
| Married | 47 (78.3) |
| Employment | |
| No Employment | 9 (15) |
| Artistry/Farming/Trading/self-employment | 32 (53.3) |
| Private Firm Employment | 7 (11.7) |
| Government Work | 12 (20) |
| Highest Educational Level | |
| First School Leaving Certificate (FSLC) | 8 (13.3) |
| Ordinary Level Certificate | 27 (45) |
| Tertiary Level of Education | 25 (41.7) |
| Age (Years) | |
| 30–40 | 5 (20) |
| 41–50 | 12 (48) |
| 51–60 | 6 (24) |
| 61 – Above | 2 (8) |
| Gender | |
| Male | 100 |
| Female | 0 |
| Marital Status | |
| Single | 5 (20) |
| Married | 20 (80) |
| Highest Educational Level | |
| First School Leaving Certificate (FSLC) | 10 (40) |
| Ordinary Level Certificate | 10 (40) |
| Tertiary Level of Education | 5 (20) |
| Driving Experience (Years) | |
| 0–5 | 3 (12) |
| 6–10 | 8 (32) |
| 11–15 | 10 (40) |
| 16 – Above | 4 (16) |
| Age | |
| 25–35 | 1 (20) |
| 36–45 | 1 (20) |
| 46–55 | 3 (60) |
| Gender | |
| Male | 3 (60) |
| Female | 2 (40) |
| Marital Status | |
| Single | 1 (20) |
| Married | 4 (80) |
| Level of Education | |
| Tertiary Level of Education | 5 (100) |
| Years of Service | |
| 0–5 | 1 (20) |
| 6-10 | 2 (60) |
| 11 – above | 2 (20) |