Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 481

The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.

Post-pandemic transformations: How and why COVID-19 requires us to rethink development

Open access
Leach, Melissa, MacGregor, Hayley, Scoones, Ian, Wilkinson, Annie·2021·World Development
DOI 10.1016/j.worlddev.2020.105233
Open this paper in CoChat — free account

Abstract

COVID-19 is proving to be the long awaited 'big one': a pandemic capable of bringing societies and economies to their knees. There is an urgent need to examine how COVID-19 - as a health and development crisis - unfolded the way it did it and to consider possibilities for post-pandemic transformations and for rethinking development more broadly. Drawing on over a decade of research on epidemics, we argue that the origins, unfolding and effects of the COVID-19 pandemic require analysis that addresses both structural political-economic conditions alongside far less ordered, 'unruly' processes reflecting complexity, uncertainty, contingency and context-specificity. This structural-unruly duality in the conditions and processes of pandemic emergence, progression and impact provides a lens to view three key challenge areas. The first is how scientific advice and evidence are used in policy, when conditions are rigidly 'locked in' to established power relations and yet so uncertain. Second is how economies function, with the COVID-19 crisis having revealed the limits of a conventional model of economic growth. The third concerns how new forms of politics can become the basis of reshaped citizen-state relations in confronting a pandemic, such as those around mutual solidarity and care. COVID-19 demonstrates that we face an uncertain future, where anticipation of and resilience to major shocks must become the core problematic of development studies and practice. Where mainstream approaches to development have been top down, rigid and orientated towards narrowly-defined economic goals, post-COVID-19 development must have a radically transformative, egalitarian and inclusive knowledge and politics at its core.

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 · 10.1016/j.worlddev.2020.105233

Cites

70 of 70 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

Research works printed but not linked: 14

  1. Edström J. \& MacGregor, H. (2010) The pipers call their tunes in global aid for AIDS: The global financial architecture for HIV funding as seen by local stakeholders in Kenya, Malawi and Zambia, Global Health Governance Journal, Fall issue 2010
  2. Enserink, 2020, Mathematics of life and death: How disease models shape national shutdowns and other pandemic policies, Science, 25
  3. Farmer, 2014, Diary, London Review of Books, 36, 38
  4. Fraser, 2016, Contradictions of capital and care, New Left Review, 100, 117
  5. Leach, 2016, States, markets and society – looking back to look forward, IDS Bulletin, 47, 2A
  6. Lynteris, C. \& Fearnley, L. (2020). Why shutting down Chinese ‘wet markets’ could be a terrible mistake. The Conversation, 31 January, https://theconversation.com/why-shutting-down-chinese-wet-markets-could-be-a-terrible-mistake-130625 (accessed 19 May 2020) · doi:10.64628/aak.d9y59gwxx
  7. Meadway, 2020, Coronavirus is the greatest challenge capitalism has ever faced: Will a new system result?, New Statesman, 23
  8. Meagher, 2013, Unlocking the informal economy: A literature review on linkages between formal and informal economies in developing countries, WIEGO Working EPap, 27
  9. Patel, 2020, Covid-19: An opportunity or risk to addressing health inequalities?, The BMJ Opinion
  10. Richards, P. (2016). Ebola: how a people’s science helped end an epidemic, London: Zed Books Ltd · doi:10.5040/9781350219779
  11. Roe, 2008, Vol. 19
  12. Sample, 2020, Coronavirus exposes the problems and pitfalls of modelling, The Guardian, 25
  13. Tooze, 2020, Shockwave: The world goes bust, LRB, 42, 8
  14. Xiang, 2003, SARS and migrant workers in China: An institutional analysis, Asian and Pacific Migration Journal, 12, 467, 10.1177/011719680301200403 · doi:10.1177/011719680301200403

Cited by

See all 481

Metadata

Authors
Leach, M., MacGregor, H., Scoones, I., & Wilkinson, A.
Venue
World Development
Publisher
Elsevier BV
Published
2021-02
Volume
138
Pages
105233
ISSN
0305-750X (ISSN-L)
DOI
10.1016/j.worlddev.2020.105233
OpenAlex
W3092706105
Cited by
481
References
70
FWCI
93.80
Type
journal article
Language
en
Open access
hybrid
Licence
Funders
  • European Research Council
  • Economic and Social Research Council
  • Wellcome Trust

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

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.