Evidence map›Paper›PMID 34173470›Full record

ArticleTransportation research interdisciplinary perspectives2020

Estimating the impacts of lockdown on Covid-19 cases in Nigeria.

Kazeem Bello Ajide, Ridwan Lanre Ibrahim, Olorunfemi Yasiru Alimi

Abstract read
In one paragraph

Article in Transportation research interdisciplinary perspectives, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Covid-19-induced Shocks, Access to Basic Needs and Coping Strategies.The European journal of development research · 2023
    Article
  3. Article
  4. Wishful thinking? Addressing the long-term implications of COVID-19 for transport in Nigeria.Transportation research. Part D, Transport and environment · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Mental health distress during the COVID-19 pandemic in Nigeria: Need for psychological intervention.The South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Kazeem Bello AjideUniversity of Lagos, Lagos State, Nigeria.
Ridwan Lanre IbrahimUniversity of Lagos, Lagos State, Nigeria.
Olorunfemi Yasiru AlimiUniversity of Lagos, Lagos State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study examines the extent to which lockdown measures impact on COVID-19 confirmed cases in Nigeria. Six indicators of lockdown entailing retail and recreation, grocery and pharmacy, parks, transit stations, workplaces, and residential, are considered. The empirical evidence is anchored on the negative binomial regression estimator, due to the count nature of the dataset on the daily cases of the virus. The study established the key following findings: First, retail and recreation, grocery and pharmacy, parks, transit stations, and workplaces are statistically significant and negatively signed as relevant predictors of the virus. Second, the impact of residential is positive and statistically significant at the conventional level. Lastly, the results are robust to an alternative estimator of Poisson Regression. The emanated policy message centres on the need to direct efforts toward ensuring total compliance to the lockdown rules as it holds the key to keeping the virus under check.

Indexed as

COVID-19LockdownNegative binomial regressionNigeria

Identifiers

PMID34173470
PMCPMC7474887

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.