Evidence map›Paper›PMID 34831825›Full record

ArticleInternational journal of environmental research and public health2021

Media Agenda and Press Conferences on COVID-19 in Mexico: An Analysis of Journalists' Questions.

Julio C Aguila Sánchez, Ninón I Llano Guibarra, Pamela Pereyra-Zamora

Open access · goldAbstract 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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 31% of its field
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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 3 countries.

Julio C Aguila SánchezPh.D. Program in Health Science, Faculty of Health Science, University of Alicante, 03690 Alicante, Spain.ORCID 0000-0002-2903-463X
Ninón I Llano GuibarraIndependent Researcher, 0201 La Paz, Bolivia.
Pamela Pereyra-ZamoraDepartment of Community Nursing, Preventive Medicine, Public Health and History of Science, Faculty of Health Science, University of Alicante, 03690 Alicante, Spain.ORCID 0000-0001-8993-3349
University of Alicante · ESCentro de Información y Desarrollo de la Mujer · BO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of the COVID-19 pandemic has highlighted the need to strengthen health communication in times of crisis. This study aims to analyze the media agenda of press conferences on COVID-19 in Mexico during the first two phases of the pandemic, based on journalists' questions. The study is based on framing theory. The method used was content analysis from a quantitative perspective. This method was explicitly applied to the final section of the conferences, which dealt with "questions from the press." The results show that at the beginning of the pandemic, the press was more interested in the government's management of the health crisis than in issues such as the prevention of the disease itself or the economic impact of the crisis on the country. Moreover, the main characteristic of the questions was that they were generally socially relevant. In conclusion, we found that in the media agenda of the Mexican conference, the frame of attribution of responsibility was prominent but in combination with the frames of conflict, human interest, morality, and economic consequences.

Indexed as

COVID-19PandemicsHumansMass MediaMexicoSARS-CoV-2content analysisCOVID-19media agendaMexicopress conferences

Identifiers

PMID34831825
PMCPMC8625423
OpenAlexW3213298351

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.