Evidence map›Paper›PMID 33125535›Full record

ArticleInternational journal of biometeorology2021

An epidemiological index for drought vulnerability in the Rio Grande do Norte State, Brazil.

Pollyanne Evangelista da Silva, Maria Helena Constantino Spyrides, Lara de Melo Barbosa Andrade, Cláudio Moisés Santos E Silva, Pedro Rodrigues Mutti, Paulo Sérgio Lucio

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Article in International journal of biometeorology, 2021. 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
–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

2 citing papers in PubMed.

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4 · The record

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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

6 authors.

Pollyanne Evangelista da SilvaCentro de Ciencias Exatas e da Terra, Universidade Federal do Rio Grande do Norte, Natal, Brazil. pollyanne.es@gmail.com.ORCID http://orcid.org/0000-0003-3307-499X
Maria Helena Constantino SpyridesDepartamento de Ciências Atmosféricas e Climáticas, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Lara de Melo Barbosa AndradeDepartamento de Ciências Atmosféricas e Climáticas, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Cláudio Moisés Santos E SilvaDepartamento de Ciências Atmosféricas e Climáticas, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Pedro Rodrigues MuttiDepartamento de Ciências Atmosféricas e Climáticas, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Paulo Sérgio LucioDepartamento de Ciências Atmosféricas e Climáticas, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the Northeast Brazil (NEB), the impacts of climate extreme events such as severe droughts are aggravated by poverty and poor socioeconomic conditions. In this region, such events usually result in the spread of endemic diseases, problems in water distribution, and agricultural losses, often leading to an increase in the population's vulnerability. Thus, this study aims to evaluate the microregions of the Rio Grande do Norte (RN) state, in the NEB, according to the Epidemiological Index for Drought Vulnerability (EIDV). We mapped and classified the microregions according to three dimensions of vulnerability: risk, susceptibility, and adaptive capacity. We also verified potential associations between drought risk and epidemiological vulnerability. The EIDV was calculated by considering the three dimensions of vulnerability as mutually exclusive events and applying the third axiom of probability. Then we carried out a cluster analysis in order to classify the microregions according to similarities in the EIDV. Odds ratio were also calculated in order to evaluate the odds of microregions having a high susceptibility to diseases and high vulnerability given the drought risk. Results showed that the Pau dos Ferros, Seridó Ocidental, Seridó Oriental, and Umarizal microregions were the most vulnerable, while Natal and Litoral Sul were the least vulnerable. Regarding the dimensions of vulnerability, we observed that almost the entire RN state exhibited high drought risk. Pau dos Ferros and Umarizal had the highest susceptibility and Litoral Nordeste presented the worst adaptive capacity to the effects of drought on health. The EIDV revealed that the population of the RN state needs improvements in living conditions and health, since socioeconomic status is one of the factors that most influence the vulnerability of microregions, which in turn is aggravated by drought risk.

Indexed as

DroughtsEnvironmentAgricultureBrazilClimateCadaptive capacityDrought riskPopulationPublic healthSusceptibility

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Registered trials

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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.