Evidence map›Paper›PMID 34745847›Full record

ArticleSustainable cities and society2022

From federal transfers and local investments to a potential convergence of COVID-19 and climate change: The case study of São Paulo city.

Andrea Ferraz Young

Open access · greenAbstract read
In one paragraph

Article in Sustainable cities and society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 33% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Can Stringent Government Initiatives Lead to Global Economic Recovery Rapidly during the COVID-19 Epidemic?International journal of environmental research and public health · 2023
    Article
  2. 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

1 author at 1 institution in 1 country.

Andrea Ferraz YoungBrazilian National Center of Monitoring and Early Warning of Natural Disasters (Cemaden), Rua Saulo de Carvalho Luz, 111 - Chácara CNEO, Campinas, São Paulo 13033-195, Brazil.
Centro Nacional de Monitoramento e Alertas de Desastres Naturais · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper is divided into two parts to explore some aspects of municipal development related to national and subnational investments in disaster risk reduction and urban sustainability related to Covid-19 and climate change response. In Part I, a survey on disasters and national transfers to 45 Brazilian municipalities is presented. In Part II, the local-scale approach enabled to compare the areas most affected by COVID-19 with those impacted by climate change. There are large uncertainties around financial support from the federal government and their impact at local scale. São Paulo city was chosen because it reveals some important aspects of spatial structure carried out through local investments. In this sense, updated information on floods and warmer surfaces were updated to provoke a discussion about a potential confluence with the effects of pandemic. The results highlighted the effects of scarce federal transfers and the maps help us to identify the spatial distribution of people at risk, which can be beneficial for municipal decisions as they highlight a significative relationship between pandemic effects and an uneven social structure. In conclusion, the trade-off between this unequal structure and a necessary and effectively sustainable change leads us to reflect on local investment trends.

Indexed as

Climate ChangeCOVID-19Multi-disastersSustainabilityUrban smartness

Identifiers

PMID34745847
PMCPMC8562764
OpenAlexW3209529882

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.