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Multidimensional poverty and COVID-19 risk factors: A rapid overview of interlinked deprivations across 5.7 billion people

Sabina Alkire, Jakob Dirksen, Ricardo Nogales, Christian Oldiges

2020Oxford University Research Archive (ORA) (University of Oxford)33 citationsOpen Access PDF

Abstract

<p>Multidimensional poverty data and measurement are key allies in confronting the threat posed by the COVID-19 pandemic. Formulating an effective response to this global crisis requires an understanding of the overlapping deprivations faced by people in the developing world, deprivations that can result in increased vulnerability to COVID-19. The global Multidimensional Poverty Index (MPI) provides clear, immediate evidence of these interlinked deprivations, making interventions more effective, high impact, and durable.</p><br/>\n\n<p>This briefing uses the global MPI database for 2019, which covers 101 countries and 5.7 billion people in the developing world, to show at a glance some surprising but critical facts for the COVID-19 response.</p>

Topics & Concepts

PovertyPandemicVulnerability (computing)Coronavirus disease 2019 (COVID-19)Development economicsPsychological interventionDeveloping countryPolitical scienceIndex (typography)Economic growthGeographyComputer securityComputer scienceEconomicsPsychologyMedicinePsychiatryDiseasePathologyWorld Wide WebInfectious disease (medical specialty)Energy and Environment ImpactsPoverty, Education, and Child WelfareChild Nutrition and Water Access