ArticleJournal of development economics2022
Slums and pandemics.
Article in Journal of development economics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- A successful response to the second wave of COVID-19 in the slums of Delhi.Journal of global health · 2025Article
- Antimicrobial Resistance in Slums: A Call for Global Action.Public health challenges · 2025Article
- Perception of Risk for Developing Severe Illness or Complications from COVID-19 in Brazil: Focus on Factors Linked to Socially Vulnerable Populations, 2020-2023.International journal of environmental research and public health · 2025Article
- Global burden of subarachnoid hemorrhage among adolescents and young adults aged 15-39 years: A trend analysis study from 1990 to 2021.PloS one · 2024Article
- Firm behavior during an epidemic.Journal of economic dynamics & control · 2023Article
- Article
- COVID-19 and the city: Did urbanized countries suffer more fatalities?Cities (London, England) · 2022Article
- Urban density and COVID-19: understanding the US experience.The Annals of regional science · 2022Review
- Comment on "COVID-19 in segmented societies" by Constantino Hevia, Manuel Macera, and Pablo Andrés Neumeyer.Journal of economic dynamics & control · 2022Article
- Inequalities in the prevalence of cardiovascular disease risk factors in Brazilian slum populations: A cross-sectional study.PLOS global public health · 2022Article
- Employment Loss in Informal Settlements during the Covid-19 Pandemic: Evidence from Chile.Journal of urban health : bulletin of the New York Academy of Medicine · 2021Article
- Regional disparity of covid-19 infections: an investigation using state-level Indian data.Indian economic review · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
How do slums shape the economic and health dynamics of pandemics? A difference-in-differences analysis using millions of mobile phones in Brazil shows that residents of overcrowded slums engaged in less social distancing after the outbreak of Covid-19. We develop and calibrate a choice-theoretic equilibrium model in which individuals are heterogeneous in income and some people live in high-density slums. Slum residents account for a disproportionately high number of infections and deaths and, without slums, deaths increase in non-slum neighborhoods. Policy analysis of reallocation of medical resources, lockdowns and cash transfers produce heterogeneous effects across groups. Policy simulations indicate that: reallocating medical resources cuts deaths and raises output and the welfare of both groups; mild lockdowns favor slum individuals by mitigating the demand for hospital beds, whereas strict confinements mostly delay the evolution of the pandemic; and cash transfers benefit slum residents to the detriment of others, highlighting important distributional effects.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.