Financing & Policy

Evidence brief: An intersectionality-based policy analysis of COVID-19 measures and women informal food vendors in Kisumu, Kenya

A sourced PLOS One study, published 2026-10-01. Read the researchers’ findings, methods and context, with links to connected African health evidence.

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Illustrative stock photograph from Unsplash. It does not depict the reported event, study participants or a confirmed Kenyan facility. Source: https://images.unsplash.com/photo-1538108149393-fbbd81895907

Published in PLOS One on 2026-10-01, this study is presented as an attributed evidence briefing. The excerpts below are the original researchers’ words, reproduced under their Creative Commons Attribution licence. Health Signal has selected the abstract and, where needed, opening background paragraphs; the complete methods, results, limitations and references remain in the linked paper.

Original authors: Elizabeth Opiyo Onyango, Joyce Kiplagat, Rebecca Gokiert, Patrick Mbullo Owuor, Helen Onyeaka, Wisarut Suwanprasert

Source: PLOS One • DOI 10.1371/journal.pone.0359620

Read the complete primary study ↗ · Creative Commons Attribution licence

From the researchers

Abstract

Women working as informal food vendors in Kisumu faced precarious work conditions that worsened during the COVID-19 pandemic. Despite playing a vital role in urban household food security, they were excluded from policy decisions, which were largely confined to technical experts and national government officials.

Using the Intersectionality-Based Policy Analysis (IBPA) framework, this study examined the engagement of women informal food vendors and the disparities in COVID-19 control policies. Between July 10, 2024, and October 15, 2024, we conducted a qualitative study using key informant interviews (n = 20), in-depth interviews (n = 20), four focus group discussions (n = 40; 10 participants each), and a purposive review of four policy documents. Participants were recruited via purposive sampling in collaboration with Pamoja Community Based Organisation, and data were analyzed thematically guided by the IBPA principles.

The findings indicate that excluding women vendors from decision-making led to gender-insensitive policies that worsened existing inequalities by overlooking the vendors’ diverse social identities. Furthermore, inconsistent policy implementation increased gender-based vulnerabilities, leaving these women exposed to harassment, extortion, and physical assault.

To prepare for future emergencies, governments must establish inclusive, gender-responsive policy frameworks that prioritize the perspectives of informal food vendors, thereby safeguarding sustainable urban food systems. Specifically, municipal, county, and national authorities should create consultative mechanisms to ensure women informal food vendors actively participate in decision-making processes. Such integration will foster gender-sensitive policy development and keep vendors’ lived experiences central to urban food governance. Ultimately, this research demonstrates the value of applying an intersectional policy analysis framework to health research, advancing equity and social justice by strengthening the participation of marginalized groups in emergency response and regulatory planning.

Introduction

In early 2020, the World Health Organization (WHO) declared COVID-19 a global pandemic, prompting urgent and comprehensive public health interventions [1]. Governments worldwide responded with mandatory containment measures, such as lockdowns and curfews [2], alongside safety protocols—including mask-wearing, hand hygiene, and physical distancing—to mitigate viral transmission [3]. These control measures, combined with the pandemic’s broader impact on global trade, severely disrupted both formal and informal economies [4–6]. Within the informal sector, these policies produced disparate social and economic outcomes for men and women [7], thereby exposing and exacerbating existing socioeconomic and cultural inequalities, particularly in urban centers [8–13].

In cities of the Global South, women disproportionately shouldered the burdens of the pandemic and its associated control measures. Women food vendors, in particular, faced systemic challenges—including reduced market hours, restricted movement, disrupted food supply chains, and increased household and caregiving responsibilities—which resulted in significant income loss and heightened food insecurity [11,14–16]. The impact was especially severe for women-led informal food businesses that rely on direct social interaction and close physical proximity with clientele—operational necessities that were severely curtailed by pandemic protocols [9]. Ultimately, these measures exacerbated existing inequalities because policy frameworks failed to account for the specific socio-cultural and economic realities of these women [10,13].

Reading this evidence

Use the full paper to check the study design, participant selection, comparator and outcome definitions before drawing a practical conclusion. An association does not by itself show cause and effect. A reported performance measure needs its denominator and uncertainty. A finding from a particular facility, sample or time period should retain that scope when it is discussed elsewhere.

This briefing makes the source accessible within the wider financing & policy desk. It does not assess an individual patient or certify a product. When considering relevance to another health system, examine the original authors’ account of context and limitations, then seek local implementation evidence. The related reporting below provides other studies to read alongside this one; it is a topic connection, rather than a claim that their results are directly comparable.

© 2026 Elizabeth Opiyo Onyango, Joyce Kiplagat, Rebecca Gokiert, Patrick Mbullo Owuor, Helen Onyeaka, Wisarut Suwanprasert. Excerpts reproduced under CC BY. Selection, formatting and contextual notes by Health Signal. The researchers are the authors of the source study, not members of Health Signal’s staff.

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Health Signal’s publication desk curates source-based health analysis and attributed research briefings. Study authors and originating institutions are credited within each article. Preparation used AI assistance; source and licence checks do not constitute independent replication or clinical endorsement.

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