Evidence map›Paper›PMID 36776987›Full record

ArticleEconomic modelling2023

Implications of COVID-19 and mitigation measures on gender and the Zimbabwean economy.

Ramos E Mabugu, Helene Maisonnave, Martin Henseler, Margaret Chitiga-Mabugu, Albert Makochekanwa

Abstract read
In one paragraph

Article in Economic modelling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Ramos E MabuguSol Plaatje University, School of Economic and Management Sciences, 26 Scanlan Street, Kimberley, 8301, South Africa.
Helene MaisonnaveEDEHN - Equipe D'Economie Le Havre Normandie, Le Havre Normandy University, Le Havre, France.
Martin HenselerPartnership for Economic Policy (PEP), Nairobi, Kenya.
Margaret Chitiga-MabuguFaculty of Economic and Management Sciences, University of Pretoria, South Africa.
Albert MakochekanwaDepartment of Economics and Development, University of Zimbabwe, Zimbabwe.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper provides a macro-micro modeling analysis of the ex-ante effects of COVID-19 mitigation and recovery policies on macroeconomic and distributional effects, particularly on female and male workers, income distribution, and poverty in Zimbabwe. With an emphasis on modeling gender-disaggregated labor markets and COVID-19 policy responses, the paper presents and combines the most recent data on poverty, gender, and the economy at the national level. The study finds that i) without any government mitigation measures, the gross domestic product will remain below business-as-usual levels; ii) poorer women are hardest hit because they are employed in sectors that are exposed and vulnerable to COVID-19 response measures; and iii) mitigation measures to counteract the negative effects of increases in poverty are effective only in the short term, and additional measures to sustain poverty reduction for the long term to sustain the poverty reductions are required. These results highlight the short-term versus long-term dilemma the government faces when contemplating responses to COVID-19.

Indexed as

COVID-19GenderLabor marketMacro-microsimulationPovertyZimbabwe

Identifiers

PMID36776987
PMCPMC9902038

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.