Evidence map›Paper›PMID 38024276›Full record

ArticleOne health (Amsterdam, Netherlands)2023

Joint extremes in precipitation and infectious disease in the USA: A bivariate POT study.

Zhiyan Cai, Yuqing Zhang, Tenglong Li, Ying Chen, Chengxiu Ling

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Rainfall events and mortality in Brazil.Journal of exposure science & environmental epidemiology · 2026
    Article
  3. 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

5 authors.

Zhiyan CaiDepartment of Bioinformatics, Xi'an Jiaotong-Liverpool University, SIP 215123, China.
Yuqing ZhangZhejiang Lab, 311121, China.
Tenglong LiAcademy of Pharmacy, Xi'an Jiaotong-Liverpool University, SIP 215123, China.
Ying ChenAcademy of Pharmacy, Xi'an Jiaotong-Liverpool University, SIP 215123, China.
Chengxiu LingAcademy of Pharmacy, Xi'an Jiaotong-Liverpool University, SIP 215123, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mounting heavy precipitation events (HPEs) caused by the climate change have drawn wide attention. Increased incidences of infectious diseases are known as the common following health impact, while little has been studied about the extremal relationship in between. Therefore, this study aims to investigate the joint extremes of precipitation and infectious disease mortality rate in the USA, using publicly accessible data from the National Centers for Environmental Information and the Centers for Disease Control and Prevention. The study reveals the positive association between heavy precipitations and infectious diseases with slight national and regional differences using multivariate Peaks-Over-Threshold modelling. The strength of extremal dependence is measured by the extreme parameter

Indexed as

ARIMAExtremal dependenceExtreme precipitationInfectious diseasesMultivariate peaks-over-threshold

Identifiers

PMID38024276
PMCPMC10665147

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.