Evidence map›Paper›PMID 42374037›Full record

ArticleNature communications2026

Household mobility responses to weather extremes in Kyrgyzstan.

Barchynai Kimsanova, Thomas Herzfeld, Atabek Umirbekov, Kathleen Hermans, Daniel Müller, Nodir Djanibekov

Abstract read
In one paragraph

Article in Nature communications, 2026. 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.

Barchynai KimsanovaLeibniz Institute of Agricultural Development in Transition Economies (IAMO), Halle (Saale), Germany. kimsanova@iamo.de.ORCID http://orcid.org/0000-0002-5544-3170
Thomas HerzfeldLeibniz Institute of Agricultural Development in Transition Economies (IAMO), Halle (Saale), Germany.
Atabek UmirbekovLeibniz Institute of Agricultural Development in Transition Economies (IAMO), Halle (Saale), Germany.
Kathleen HermansLeibniz Institute of Agricultural Development in Transition Economies (IAMO), Halle (Saale), Germany.
Daniel MüllerLeibniz Institute of Agricultural Development in Transition Economies (IAMO), Halle (Saale), Germany.ORCID http://orcid.org/0000-0001-8988-0718
Nodir DjanibekovLeibniz Institute of Agricultural Development in Transition Economies (IAMO), Halle (Saale), Germany.

Funding

Volkswagen Foundation (VolkswagenStiftung) 9D149
6 · The paper itself

Abstract

Weather extremes increasingly shape human mobility, yet their effects differ across households and locations. We advance understanding of climate-related mobility by distinguishing among four outcomes: domestic mobility, international mobility, combined domestic-international mobility, and immobility, rather than treating mobility as a simple binary choice. Focusing on Kyrgyzstan, a climate-vulnerable mountainous country in Central Asia, we combine nationally representative household panel data from 2013-2022 with high-resolution climate data. Here, we show that weather extremes, both within districts and in neighboring districts, are more strongly associated with international mobility and immobility than with domestic and combined domestic-international mobility. Responses differ substantially across households' socioeconomic position, with immobility more common among households with lower socioeconomic position and more diverse mobility patterns observed among households with higher socioeconomic position. Our findings suggest that mobility responses to weather extremes in Kyrgyzstan are shaped by both geographic context and household socioeconomic position.

Identifiers

PMID42374037
PMCPMC13315783

What OpenQuestion holds

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LicenceCC BY
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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.