Evidence map›Paper›PMID 34948738›Full record

ArticleInternational journal of environmental research and public health2021

An Instrumental Variable Probit Modeling of COVID-19 Vaccination Compliance in Malawi.

Abayomi Samuel Oyekale, Thonaeng Charity Maselwa

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. 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. Article
  2. 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

2 authors.

Abayomi Samuel OyekaleDepartment of Agricultural Economics and Extension, North-West University Mafikeng Campus, Mmabatho 2735, South Africa.
Thonaeng Charity MaselwaDepartment of Agricultural Economics and Extension, North-West University Mafikeng Campus, Mmabatho 2735, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 remains a pressing development concern in Malawi. The third wave of viral infection upsurge raised significant concerns on people's compliance with preventive methods already introduced by the government, among which vaccination is notable. This study analysed the factors influencing COVID-19 vaccination compliance in Malawi. The data were the ninth round of the telephone-based survey that was conducted by Malawi National Statistical Office (NSO) in 2021. The data were analysed with Instrumental Variable Probit model. The results showed that awareness of COVID-19 vaccines arrival was very high (98.19%). Additionally, 11.59% and 60.71% were already vaccinated and planning to be vaccinated, respectively. The Probit regression results showed that age of household heads, need of medical services, being worried of contracting COVID-19 and wearing of masks increased the probability of vaccination compliance, while stress indicators, being employed and not worried at all of contracting COVID-19 reduced it. It was concluded that drastic behaviour change would be needed to address corona virus pandemic in Malawi. There is the need to ensure equity across different age groups in access to vaccines. Further, interventions to ensure proper assessment of an individual's COVID-19 risk and address psychological and emotional stress that are associated with ongoing pandemic would enhance vaccination compliance.

Indexed as

COVID-19COVID-19 VaccinesHumansMalawiSARS-CoV-2VaccinationCOVID-19 VaccinescomplianceCOVID-19instrumental variable probit modelstressvaccine

Identifiers

PMID34948738
PMCPMC8700804

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.