Evidence map›Paper›PMID 41125633›Full record

ArticleNature communications2025

Accessing acute care hospitals in the San Francisco Bay Area after a major hayward earthquake.

Luis Ceferino, Charan Kukunoor, Jinyan Zhao, Dan Mao, Xinlu Xu, Jingzhe Wu, Adam Zsarnóczay

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Luis CeferinoDepartment of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, California, USA. ceferino@berkeley.edu.ORCID http://orcid.org/0000-0003-0322-7510
Charan KukunoorDepartment of Civil and Urban Engineering, New York University, Brooklyn, NY, USA.ORCID http://orcid.org/0000-0001-9020-8216
Jinyan ZhaoDepartment of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, California, USA.ORCID http://orcid.org/0000-0003-1986-7803
Dan MaoCenter for Urban Science and Progress, New York University, Brooklyn, NY, USA.
Xinlu XuCenter for Urban Science and Progress, New York University, Brooklyn, NY, USA.
Jingzhe WuThe Global Facility for Disaster Risk Reduction, the World Bank Group, Washington, District of Columbia, USA.
Adam ZsarnóczayDepartment of Civil and Environmental Engineering, Stanford University, Stanford, CA, USA.

Funding

National Science Foundation (NSF) 2410291
6 · The paper itself

Abstract

Earthquakes can severely disrupt healthcare access, especially in dense cities. Here, we provide a comprehensive assessment of how a magnitude 7.25 earthquake on the Hayward Fault would impact access to acute care hospitals in the San Francisco Bay Area. By integrating seismic hazard with hospital and transportation infrastructure's vulnerability and connectivity data, we analyze 76 hospitals (426 buildings with 16,639 beds) and 5163 bridges within a vast network of  ~1.5 million edges and  ~0.5 million nodes. We leverage the rich data to formulate a coupled risk-network model to quantify simultaneous failures and cascading disruptions across the healthcare and transportation systems. Our results revealed that hospital bed capacity could drop to 51%, with Alameda County retaining only 20%. Widespread transportation failures further restrict access, increasing regional travel times by 177% and exceeding 1000% in parts of East Bay, potentially fully isolating a hospital and an entire urban community. These findings underscore the urgent need for resilient healthcare and transportation infrastructure to mitigate life-threatening disruptions following major earthquakes.

Indexed as

EarthquakesHealth Services AccessibilityHospitalsHospital Bed CapacityHumansSan FranciscoTransportation

Identifiers

PMID41125633
PMCPMC12546628

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.