Evidence map›Paper›PMID 40963650›Full record

ArticleFrontiers in public health2025

Impact of the COVID-19 pandemic on number of deaths in Ghana: an application of ARIMA with intervention analysis.

Christian Akrong Hesse, Emmanuel Dodzi Kpeglo, Dominic Buer Boyetey, Saralees Nadarajah

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Christian Akrong HesseDepartment of Economics and Actuarial Science, University of Professional Studies, Accra, Ghana.
Emmanuel Dodzi KpegloDepartment of Economics and Actuarial Science, University of Professional Studies, Accra, Ghana.
Dominic Buer BoyeteyDepartment of Built Environment, University of Environment and Sustainable Development, Somanya, Ghana.
Saralees NadarajahDepartment of Mathematics, University of Manchester, Manchester, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past three years, the novel coronavirus (COVID-19) outbreak has caused millions of unexpected deaths worldwide. Ghana, like many other countries, recorded numerous COVID-19 deaths. The number of deaths from the commencement of the crisis formed a time series. This study examines the effect of the COVID-19 pandemic on the number of deaths in Ghana using intervention analysis on time series data. Initially, we generated an ARIMA (3, 1, 0) model to examine monthly death data in Ghana from January 2018 to December 2022, identifying March 2020 as the critical intervention point. March 2020 marked the commencement of the COVID-19 pandemic in Ghana. Secondly, we employed the ARIMA model to predict the post-pandemic death trend, and ultimately, we found no substantial discrepancy between the estimated and observed death count. Consequently, the analysis concluded that, despite a surge in global deaths, the estimated model indicated that the pandemic's emergence did not result in a significant change in the number of deaths in Ghana beyond the anticipated figures based on pre-pandemic patterns.

Indexed as

COVID-19MortalityPandemicsGhanaHumansModels, StatisticalSARS-CoV-2COVID-19death countintervention analysispandemictime series

Identifiers

PMID40963650
PMCPMC12436119

What OpenQuestion holds

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Registered trials

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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.