Evidence map›Paper›PMID 34757868›Full record

ArticleHuman vaccines & immunotherapeutics2021

On willingness to pay for Covid-19 vaccines: a case study from India.

Upasak Das, Udayan Rathore, Rupayan Pal

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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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.

Upasak DasPresidential Fellow in the Economics of Poverty Reduction, Global Development Institute, University of Manchester, Manchester, UK.ORCID 0000-0002-4371-0139
Udayan RathoreResearch and Evaluation, Oxford Policy Management, New Delhi, India.ORCID 0000-0003-1941-1005
Rupayan PalIndira Gandhi Institute of Development Research, Mumbai, India.ORCID 0000-0002-9475-2179

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, using survey data from 1251 respondents from peri-urban parts in the Bhopal district of India, we estimated the willingness-to-pay (WTP) for hypothetical Covid-19 vaccines. We use open-ended questions along with the discrete choice contingent valuation method for two vaccines, one with full efficacy and the other with 70% efficacy. While no major evidence of vaccine hesitancy was observed, we found a WTP of about Rs. 141 ($1.9) for the former type vaccine and about Rs. 116 ($1.6) for the latter. From the contingent valuation method, we found about 71.9% were not willing to spend Rs. 200 ($2.7) or more for the fully effective vaccine, while this figure goes up to 77.8% for the one with 70% efficacy. Estimations from linear and probit regressions suggest that economic indicators were the most important predictors of WTP. Usage of public transport, the number of days that the respondent stepped out for work, and the presence of comorbid individuals in the household were positively associated with the WTP, while pandemic-induced income reduction was negatively correlated. The findings lend support toward the requirement of highly subsidized vaccines, and hence back the recent policy announcement toward the supply of free vaccines to all states.

Indexed as

COVID-19VaccinesCOVID-19 VaccinesHumansIndiaSARS-CoV-2Surveys and QuestionnairesCOVID-19 VaccinesVaccinesCovid-19IndiasubsidizationvaccineWillingness to pay

Identifiers

PMID34757868
PMCPMC8903962

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.