Evidence map›Paper›PMID 38416328›Full record

ArticleActa parasitologica2024

A Geomedical Survey: Is There an Association Between Climatic Conditions and Leishmania Species Distribution in Iran During the Years 1999-2021?

Zahra Navi, Abdolreza Salahi-Moghaddam, Majid Habibi-Nokhandan, Mehdi Mohebali, Homa Hajjaran, Màrius V Fuentes

Abstract read
In one paragraph

Article in Acta parasitologica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Zahra NaviDepartment of Medical Parasitology and Mycology, School of Public Health, Tehran University of Medical Sciences, Poor Sina Avenue Qods ST, Keshavarz Blvd, 1417613151, Tehran, Iran.ORCID http://orcid.org/0000-0002-7799-5072
Abdolreza Salahi-MoghaddamEco-Parasitologist, Aban Monife Institute of Public Health Research, Tehran, Iran.ORCID http://orcid.org/0000-0001-8615-1712
Majid Habibi-NokhandanClimatological Research Institute, Mashhad, Iran.
Mehdi MohebaliDepartment of Medical Parasitology and Mycology, School of Public Health, Tehran University of Medical Sciences, Poor Sina Avenue Qods ST, Keshavarz Blvd, 1417613151, Tehran, Iran.
Homa HajjaranDepartment of Medical Parasitology and Mycology, School of Public Health, Tehran University of Medical Sciences, Poor Sina Avenue Qods ST, Keshavarz Blvd, 1417613151, Tehran, Iran. hhajjaran@yahoo.com.ORCID http://orcid.org/0000-0001-5877-2845
Màrius V FuentesParasites and Health Research Group, Departament de Farmàcia iI Tecnologia Farmacèutica i Parasitologia, Facultat de Farmàcia, Universitat de València, Av. Vicent Andrés Estellés s/n, Burjassot, 46100, València, Spain. mario.v.fuentes@uv.es.ORCID http://orcid.org/0000-0002-9508-6390

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIran is among the high-risk leishmaniasis regions in the world. WHO recommends the use of GIS as an ideal tool for healthcare authorities to predict the evolution of a disease, delimit the risk of outbreaks and identify critical areas. The aim of this research is to find the association between the main species of Leishmania (L. major, L. tropica, L. infantum) dispersion and climatic variables in Iran.

methodsAll molecular-based reports of leishmaniasis from Iran between 1999 and 2021 were gathered from reliable medical sources. Meteorological data (air and soil temperatures, annual rainfall and humidity) of the country along the study period were obtained from the Iranian Climatological Research Centre. The data concerning species distribution and climatic conditions during this period were moved to a base-map through raster layers using ArcGIS 10.4.1 software. The relationship between parasitological and climatic models was examined using ANOVA.

resultsHigh risk area maps, based on the cut-off thresholds, were generated for Leishmania major, L. tropica and L. infantum. According to the molecular-based reports, the L. major distribution was significantly related to all climatic variables, while L. tropica was merely related to rainfall and humidity, and the L. infantum distribution was significantly associated with rainfall, soil and air temperatures.

conclusionThe association between climatic conditions and Leishmania species distribution in Iran has been confirmed. Consequently, both, the relationship between climatic conditions and the geographical distribution of Leishmania species, and the use of GIS to better understand the spatial epidemiology of leishmaniasis, have been reaffirmed.

Indexed as

ClimateGeographic Information SystemsHumansIranLeishmaniaLeishmania infantumLeishmania majorLeishmaniasisLeishmania tropicaTemperatureClimatic dataEpidemiologyGISIranLeishmaniaPredicting map

Identifiers

PMID38416328
PMCPMC11001653

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.