Evidence map›Paper›PMID 36288053›Full record

ArticleTropical medicine and infectious disease2022

Space-Time Clustering and Socioeconomic Factors Associated with Mortality from Diarrhea in Alagoas, Northeastern Brazil: A 20-Year Population-Based Study.

Deanna Dos Santos Lima, Wandklebson Silva da Paz, Álvaro Francisco Lopes de Sousa, Denise de Andrade, Beatriz Juliana Conacci, Flávia Silva Damasceno, Márcio Bezerra-Santos

Open access · goldAbstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Spatiotemporal analysis of diarrhea-related hospitalizations of children in Brazil's Midwest region from 2011 to 2020.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2024
    Article
  5. 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

7 authors at 6 institutions in 2 countries.

Deanna Dos Santos LimaParasitic Diseases and Environment Graduate Program, Universidade Estadual de Alagoas-Campus II, Santana do Ipanema 57500-000, Alagoas, Brazil.
Wandklebson Silva da PazParasitic Diseases and Environment Graduate Program, Universidade Estadual de Alagoas-Campus II, Santana do Ipanema 57500-000, Alagoas, Brazil.
Álvaro Francisco Lopes de SousaGlobal Health and Tropical Medicine (GHTM), Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa, 1349-008 Lisbon, Portugal.ORCID 0000-0003-2710-2122
Denise de AndradeFundamental Nursing Program, Department of General and Specialist Nursing, University of São Paulo at Ribeirão Preto College of Nursing, Ribeirão Preto 14040-902, São Paulo, Brazil.
Beatriz Juliana ConacciFundamental Nursing Program, Department of General and Specialist Nursing, University of São Paulo at Ribeirão Preto College of Nursing, Ribeirão Preto 14040-902, São Paulo, Brazil.ORCID 0000-0003-2034-230X
Flávia Silva DamascenoLaboratory of Biochemistry of Tryps-LaBTryps, Department of Parasitology, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo 05508-040, São Paulo, Brazil.ORCID 0000-0003-2959-1484
Márcio Bezerra-SantosMedical Science Center, Universidade Federal de Alagoas, Arapiraca 57309-005, Alagoas, Brazil.
Universidade de Ribeirão Preto · BRUniversidade de São Paulo · BRUniversidade Estadual de Ciências da Saúde de Alagoas · BRUniversidade Federal de Pernambuco · BRUniversidade Federal de Sergipe · BRUniversidade Nova de Lisboa · PT

Funding

Coordenação de Aperfeiçoamento de Pessoal do Nível Superior-CAPES 001
6 · The paper itself

Abstract

Acute diarrhea is the second leading cause of death among children in developing countries and is strongly related with the socioeconomic conditions of the population. In Brazil, data show a drop in the diarrhea mortality rate. Nevertheless, the northeastern region still has the most deaths. Considering this, we analyze high-risk areas for diarrhea- and gastroenteritis-related deaths, and their association with social determinants of health (SDH) in the state with one of the worst human development indicators in Brazil (Alagoas) between 2000 and 2019. We applied temporal, spatial, and space−time risk modelling. We used a log-linear regression model to assess temporal trends and the local empirical Bayesian estimator, the global and local Moran indices for spatial analysis. Spearman’s correlation was used to correlate mortality rates with SDH. A total of 3472 diarrhea-related deaths were reported during this period in Alagoas. We observed a decreasing time trend of deaths in the state (9.41/100,000 in 2000 to 2.21 in 2019; APC = −6.7; p-value < 0.001), especially in children under one year of age. However, there was stability among adults and the elderly. We identified two high-risk spatiotemporal clusters of mortality in inland municipalities. Lastly, mortality rates correlated significantly with 90% of SDH. Taken together, these findings indicate that diarrhea diseases remain a serious public health concern in Alagoas, mainly in the poorest and inland municipalities. Thereby, it is urgently necessary to invest in measures to control and prevent cases, and improve the living conditions of the poorest populations and those with the highest social vulnerability index.

Indexed as

Brazildiarrheagastroenteritispublic healthspatial analysis

Identifiers

PMID36288053
PMCPMC9610189
OpenAlexW4306772740

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.