Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 325

The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.

Governing COVID-19 without government in Brazil: Ignorance, neoliberal authoritarianism, and the collapse of public health leadership

Ortega, Francisco, Orsini, Michael·2020·Global Public Health

Abstract

Brazil’s governance of the COVID-19 pandemic has been described as nothing short of tragic by several commentators. President Jair Bolsonaro’s dangerous brew of neoliberal authoritarianism, science denialism and ableism has plunged this country into catastrophe. In this article we argue that this form (or lack) of public health governance can best be described as governance without (central) government. We begin with an overview of public health governance in the country before introducing the main theoretical concepts that guide our analysis, namely the notions of ‘government by exception’ and ‘strategic ignorance’. Finally, we sketch the main features of this emerging form of (non)governance of COVID-19. We highlight the new forms of solidarity and mutual aid that have emerged in favelas and Indigenous communities, which have stepped in to fill the void left by a limited federal presence. The article concludes by reflecting on what this collapse of public health reveals about the limitations of democratic governance in the age of Bolsonaro.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/17441692.2020.1795223

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 41 references

Cited by

See all 325

Metadata

Authors
Ortega, F., & Orsini, M.
Venue
Global Public Health
Published
2020-07-14
Volume
15
Issue
9
Pages
1257-1277
ISSN
  • 1744-1692 (ISSN-L)
  • 1744-1706
OpenAlex
W3043539545
Cited by
325
References
41
FWCI
218.64
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Governing COVID-19 without government in Brazil: Ignorance, neoliberal authoritarianism, and the collapse of public health leadership. https://app.cochat.ai/papers/10.1080/17441692.2020.1795223
The paper
Ortega, F., & Orsini, M. (2020). Governing COVID-19 without government in Brazil: Ignorance, neoliberal authoritarianism, and the collapse of public health leadership. Global Public Health. https://doi.org/10.1080/17441692.2020.1795223

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.