Evidence map›Paper›PMID 41648148›Full record

ArticlebioRxiv : the preprint server for biology2026

Global trends in human birth and death seasonality reveal climate-related shifts in reproductive timing.

Chinmay Lalgudi, Neema Sakariya, James E Ferrell, Shixuan Liu

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Chinmay LalgudiDepartment of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA.
Neema SakariyaDepartment of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA.
James E FerrellDepartment of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA.
Shixuan LiuDepartment of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0003-4972-415X

Funding

Cytoplasmic organization and systems-level function in Xenopus extractsR35GM131792 · NIGMS · STANFORD UNIVERSITY · PI JAMES E. FERRELL · 2019 to 2026
$5.6M
NIGMS NIH HHS R35 GM131792
6 · The paper itself

Abstract

Despite growing evidence that climate change affects public health, it remains unclear whether recent global warming has directly altered fundamental aspects of human biology at large scales. Here, we analyzed long-term trends in human birth and death seasonality, using demographic data from >100 regions worldwide. We found that both births and deaths followed remarkably persistent seasonal cycles. Births peaked through spring to fall, whereas deaths peaked in midwinter, especially among older individuals. Across latitude, death seasonality diminished near the equator; birth seasonality remained strong across all latitudes but peaked progressively later at lower latitudes. Strikingly, birth seasonality in high-latitude regions showed synchronized phase delays in recent decades, with peak timing delayed by 2-3 months during the 1970s-2000s, converging toward lower-latitude timing and stabilizing subsequently, while death seasonality remained stable. An unbiased analysis of key socioeconomic and climatic variables revealed that temperature was the predominant predictor of birth-peak timing. Estimated conception peaks shifted away from summer amid rising heatwaves and stabilized in cooler fall/winter months, consistent with known adverse effects of heat on reproduction. Together, these results suggest that recent climate warming has reshaped the seasonal timing of human reproduction.

Identifiers

PMID41648148
PMCPMC12871832

What OpenQuestion holds

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LicenceCC BY-NC
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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.