Evidence map›Paper›PMID 37965638›Full record

ArticleGeoHealth2023

Mapping Plague Risk Using Super Species Distribution Models and Forecasts for Rodents in the Zhambyl Region, Kazakhstan.

N M Rametov, M Steiner, N A Bizhanova, Z Zh Abdel, D T Yessimseit, B Z Abdeliyev, R S Mussagalieva

Abstract read
In one paragraph

Article in GeoHealth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Small rodents, huge impact: A scoping review of EuropeanOne health (Amsterdam, Netherlands) · 2026
    Review
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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

7 authors.

N M RametovNational Scientific Center for Particularly Dangerous Infections named after M. Aikimbaev Almaty Kazakhstan.ORCID https://orcid.org/0000-0002-8346-4147
M SteinerDepartment of Animal Science Wageningen University and Research Wageningen The Netherlands.
N A BizhanovaLaboratory of Theriology Institute of Zoology Almaty Kazakhstan.ORCID https://orcid.org/0000-0002-1804-2511
Z Zh AbdelNational Scientific Center for Particularly Dangerous Infections named after M. Aikimbaev Almaty Kazakhstan.ORCID https://orcid.org/0000-0002-2738-6818
D T YessimseitNational Scientific Center for Particularly Dangerous Infections named after M. Aikimbaev Almaty Kazakhstan.ORCID https://orcid.org/0000-0003-2202-9333
B Z AbdeliyevNational Scientific Center for Particularly Dangerous Infections named after M. Aikimbaev Almaty Kazakhstan.ORCID https://orcid.org/0000-0002-4184-6227
R S MussagalievaNational Scientific Center for Particularly Dangerous Infections named after M. Aikimbaev Almaty Kazakhstan.ORCID https://orcid.org/0000-0002-6838-2338

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the most extensive natural plague centers, or foci, is located in Central Asia, in particular, the Zhambyl region in Southern Kazakhstan. Here, we conducted plague surveillance from 2000 to 2020 in the Zhambyl region in Kazakhstan and confirmed 3,072 cases of infected wild animals. We used Species Distribution Modeling by employing MaxEnt, and identified that the natural plague foci are primarily located in the Moiynqum, Betpaqdala, and Tauqum Deserts. The Zhambyl region's central part, including the Moiynqum and Sarysu districts, has a high potential risk of plague outbreak for the rural towns and villages. Since the phenomenon of climate change has been identified as a determinant that affects the rodent populations, thereby elevating the likelihood of an outbreak of plague, we investigated the potential dissemination routes of the disease under the changing climate conditions, thus creating Species Distribution Forecasts for the rodent species in southern part of Kazakhstan for the year 2100. By 2100, in case of increasing temperatures, the range of host species is likely to expand, leading to a higher risk of plague outbreaks. The highest risk of disease transmission can be expected at the outer limits of the modeled total distribution range, where infection rates are high, but antibody presence is low, making many species susceptible to the pathogen. To mitigate the risk of a potential plague outbreak, it is necessary to implement appropriate sanitary-epidemiological measures and climate mitigation policies.

Indexed as

climate changeMaxEntplague focusrodentsspatial analysisspecies distribution model

Identifiers

PMID37965638
PMCPMC10641984

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Registered trials

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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.