Evidence map›Paper›PMID 33973205›Full record

ArticleAdvances in experimental medicine and biology2021

COVID-19 Amid Rumors and Conspiracy Theories: The Interplay Between Local and Global Worlds.

Inayat Ali

Abstract read
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In one paragraph

Article in Advances in experimental medicine and biology, 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. Why May COVID-19 Overwhelm Low-Income Countries Like Pakistan?Disaster medicine and public health preparedness · 2022
    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

1 author.

Inayat AliDepartment of Social and Cultural Anthropology, University of Vienna, Vienna, Austria. inayat_qau@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stories and narratives are part of our human sociocultural history, which are always preserved in what I call "societal memory." We construct stories to weave meanings that help us make sense of our lifeworlds. Like stories, rumors and conspiracy theories can offer deep meanings when analyzed in specific contexts. Such narratives become most prominent in times of looming uncertainties, anxieties, and fears. Thus, the challenging coronavirus disease 2019 (COVID-19) pandemic has become surrounded by plentiful rumors and conspiracy theories. These narratives reveal geopolitics when they code the pandemic as "bioengineered." They also demonstrate local concerns, as in Pakistan, people started drinking "miraculous" tea as a form of prevention, shaving their heads, and/or praying to God to undo his "punishment." Some conceptualized the pandemic as an invented "plot." These narratives seem to empower individuals to make sense of this pandemic and to deal with its multidimensional effects: they allow them to feel confident enough to go outside and earn their livelihood. In this chapter, the author builds on his long-term ethnographic fieldwork on infectious diseases, recent telephone interviews, and content analysis of the media to discuss narratives revolving around COVID-19 in Pakistan. The author argues that these rumors and conspiracy theories are social phenomena pregnant with multiple meanings that deserve to be thoroughly explored, especially by anthropologists. A dearth of understanding about COVID-19 and narratives surrounding it would substantially impede the strategies to deal with this ongoing pandemic.

Indexed as

COVID-19Health PersonnelHumansPakistanPandemicsSARS-CoV-2Conspiracy theoriesCoronavirusCOVID-19NarrativesPakistanPublic anthropologyRumors, Disparities, Societal memory

Identifiers

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.