Evidence map›Paper›PMID 34150303›Full record

ArticleJournal of environmental health science & engineering2021

The effect of meteorological variables on salmonellosis incidence in Kermanshah, West of Iran: a generalized linear model with negative binomial approach.

Sairan Nili, Narges Khanjani, Bahram Bakhtiari, Yunes Jahani, Hamideh Dalaei

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Article in Journal of environmental health science & engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
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2citing papers in PubMed, 2 pooled it
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1 · What the graph read from it

What it found

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3 · Its place in the literature

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2 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sairan NiliDepartment of Public Health, Faculty of Health, Kurdistan University of Medical Sciences, Sanandaj, Iran.
Narges KhanjaniNeurology Research Center, Kerman University of Medical Sciences, Kerman, Iran.ORCID 0000-0002-7235-9253
Bahram BakhtiariWater Engineering Department, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran.
Yunes JahaniModeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Hamideh DalaeiResearch Deputy of Iranian Meteorological Organization (IRIMO), Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSalmonella is one of the main causes of gastroenteritis, and its incidence may be affected by meteorological variables. This is the first study about the effect of climatic factors on salmonella incidence in Kermanshah, Iran.

methodsData about salmonellosis cases in Kermanshah were inquired from Center for Communicable Disease Control, at the Ministry of Health and Medical Education of Iran, for the 2008 to 2018 time-frame. Meteorological variables including maximum, minimum and mean of temperature and humidity, sunshine hours and rainfall were inquired for the same time frame. Negative binomial generalized linear models (GLM) were used to assess the effect of meteorological variables on the weekly incidence of salmonellosis.

resultsDuring the years under study, 569 confirmed cases were registered in Kermanshah province. Study results showed a 3 % increase in salmonellosis incidence, after 1 % increase in minimum humidity in the week before (incidence rate ratio (IRR): 1.03; 95 % confidence interval (CI):1.02-1.05) and also a 4 % increase in incidence for 1 °C increase in mean temperature in the same week (IRR: 1.04; 95 % CI:1.02-1.06).

conclusionsIncrease in minimum humidity and mean temperature may have a role in increasing the incidence of salmonellosis in Iran.

Indexed as

EnvironmentForecastingGeneralized linear modelIranKermanshahNegative binomial regressionSalmonellosis

Identifiers

PMID34150303
PMCPMC8172766

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