Evidence map›Paper›PMID 38625335›Full record

ReviewAnnals of data science2023

Intervention Analysis of COVID-19 Vaccination in Nigeria: The Naive Solution Versus Interrupted Time Series.

Desmond Chekwube Bartholomew, Chrysogonus Chinagorom Nwaigwe, Ukamaka Cynthia Orumie, Godwin Onyeka Nwafor

Abstract readReview
In one paragraph

Review in Annals of data science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Desmond Chekwube BartholomewDepartment of Statistics, Federal University of Technology Owerri, Owerri, Imo State Nigeria.ORCID 0000-0003-0541-1442
Chrysogonus Chinagorom NwaigweDepartment of Statistics, Federal University of Technology Owerri, Owerri, Imo State Nigeria.
Ukamaka Cynthia OrumieDepartment of Mathematics and Statistics, University of Port Harcourt, Port Harcourt, Rivers State Nigeria.
Godwin Onyeka NwaforDepartment of Statistics, Federal University of Technology Owerri, Owerri, Imo State Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, an intervention analysis approach was applied to daily cases of COVID-19 in Nigeria in order to evaluate the utilization and effect of the COVID-19 vaccine administered in the country. Data on the daily report of COVID-19 cases in Nigeria were collected and subjected to two models: the naïve solution and the interrupted time series (the intervention model). Based on the Alkaike Information Criterion (AIC), sigma

Indexed as

COVID-19EffectInterrupted time seriesIntervention analysisNaïve solutionVaccination

Identifiers

PMID38625335
PMCPMC9851118

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.