Table 2.
Impacts of perceived COVID-19 risks on households’ unmet needs during the first wave of the pandemic (April-August 2020) in Nigeria
| Variables | Unmet Needsβ Coefficient (95%CI) |
|---|---|
| During lockdownθ |
-0.07 (-0.21–0.08) |
| After lockdownθ |
-0.08 (-0.18–0.02) |
| (Medium-risk vs. Low-risk)α × During lockdownθ |
0.15* (-0.01–0.31) |
| (High-risk vs. Low-risk)α × During lockdownθ |
0.10 (-0.07–0.27) |
| (Epicentre vs. Low-risk)α × During lockdownθ |
0.25* (-0.04–0.53) |
| (Medium-risk vs. Low-risk)α × After lockdownθ |
0.01 (-0.10–0.12) |
| (High-risk vs. Low-risk)α × After lockdownθ |
0.03 (-0.09–0.15) |
| (Epicentre vs. Low-risk)α × After lockdownθ |
0.24** (0.02–0.46) |
| Household Fixed Effects | Yes |
| Number of observations | 3,689 |
| Number of households | 1,509 |
| R-squared | 0.03 |
Notes: Estimations are based on Nigeria GHSP 2019 and 2020 NLPS Round 1
αRepresents the treatment variable assigned with the value of 0 for households in the states with low-risk of COVID-19 infection (number of cases < 100) (as the control group) and 1 for households in the medium-risk (100 ≥ number of cases < 1,000), high-risk (1,000 ≥ number of cases < 10,000), or epicentre state (Lagos State with number of cases > 10,000) (as the treated groups)
θRepresents three periods: before lockdown (January–February 2019), during lockdown (April-May 2020), and after lockdown (June–August 2020). In the difference-in-differences estimation, the period before lockdown is the base period
P values: *** p < 0.01, ** p < 0.05, * p < 0.10
β95% CIs are shown in parentheses
Robust standard errors were clustered at the enumeration area (EA)