Evidence map›Paper›PMID 26093493›Full record

ArticleEnvironment international2015

Climate change, extreme events and increased risk of salmonellosis in Maryland, USA: Evidence for coastal vulnerability.

Chengsheng Jiang, Kristi S Shaw, Crystal R Upperman, David Blythe, Clifford Mitchell, Raghu Murtugudde, Amy R Sapkota, Amir Sapkota

Open access · hybridAbstract read
In one paragraph

Article in Environment international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
14.9field-weighted citation impact, top 1% 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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 126 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Chengsheng JiangMaryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, United States.
Kristi S ShawMaryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, United States.
Crystal R UppermanMaryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, United States.
David BlythePrevention and Health Promotion Administration, Maryland Department of Health and Mental Hygiene, Baltimore, MD, United States.
Clifford MitchellPrevention and Health Promotion Administration, Maryland Department of Health and Mental Hygiene, Baltimore, MD, United States.
Raghu MurtuguddeEarth System Science Interdisciplinary Center, College of Computer, Mathematical and Natural Sciences, University of Maryland, College Park, MD, United States.
Amy R SapkotaMaryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, United States.
Amir SapkotaMaryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, United States. Electronic address: amirsap@umd.edu.
University of Maryland, College Park · USMaryland Department of Health · USEarth System Science Interdisciplinary Center · US

Funding

PPHF-13-MARYLAND ENVIRONMENTAL PUBLIC HEALTH TRACKING ENHANCEMENTU38EH000944 · EH · MARYLAND STATE DEPARTMENT OF HEALTH · PI MITCHELL, CLIFFORD S · 2011 to 2015
$4.4M
MARYLAND PUBLIC HEALTH STRATEGY FOR CLIMATE CHANGEUE1EH001049 · EH · MARYLAND STATE DEPARTMENT OF HEALTH · PI MITCHELL, CLIFFORD S · 2012 to 2015
$963k
ADVANCING VIOLENCE PREVENTION EFFORTS THROUGH THE MARYLAND NVDRSU17CE002604 · CE · MARYLAND STATE DEPARTMENT OF HEALTH · PI MITCHELL, CLIFFORD S · 2014 to 2015
$606k
NCEH CDC HHS 1UE1EH001049-01NCEH CDC HHS U38 EH000944NCEH CDC HHS UE1 EH001049NCIPC CDC HHS U17 CE002604PHS HHS 5U01C1000310
6 · The paper itself

Abstract

backgroundSalmonella is a leading cause of acute gastroenteritis worldwide. Patterns of salmonellosis have been linked to weather events. However, there is a dearth of data regarding the association between extreme events and risk of salmonellosis, and how this risk may disproportionately impact coastal communities.

methodsWe obtained Salmonella case data from the Maryland Foodborne Diseases Active Surveillance Network (2002-2012), and weather data from the National Climatic Data Center (1960-2012). We developed exposure metrics related to extreme temperature and precipitation events using a 30 year baseline (1960-1989) and linked them with county-level salmonellosis data. Data were analyzed using negative binomial Generalized Estimating Equations.

resultsWe observed a 4.1% increase in salmonellosis risk associated with a 1 unit increase in extreme temperature events (incidence rate ratio (IRR):1.041; 95% confidence interval (CI):1.013-1.069). This increase in risk was more pronounced in coastal versus non-coastal areas (5.1% vs 1.5%). Likewise, we observed a 5.6% increase in salmonellosis risk (IRR:1.056; CI:1.035-1.078) associated with a 1 unit increase in extreme precipitation events, with the impact disproportionately felt in coastal areas (7.1% vs 3.6%).

conclusionsTo our knowledge, this is the first empirical evidence showing that extreme temperature/precipitation events-that are expected to be more frequent and intense in coming decades-are disproportionately impacting coastal communities with regard to salmonellosis. Adaptation strategies need to account for this differential burden, particularly in light of ever increasing coastal populations.

Indexed as

Climate ChangeAltitudeGeographyHot TemperatureHumansIncidenceMarylandRainSalmonella InfectionsSnowClimate changeCoastal vulnerabilityEl NiñoLa NiñaSalmonellosis

Identifiers

PMID26093493
PMCPMC6590700
OpenAlexW610979268

What OpenQuestion holds

Textmetadata
LicenceTDM
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.