Evidence map›Paper›PMID 42603109›Full record

ArticleRisk analysis : an official publication of the Society for Risk Analysis2026

Access to Essential Services: A Critical Factor for Predicting Recovery and Quantifying Resilience.

Tessa Swanson, Seth Guikema, Benjamin Nelson-Mercer, Jeremy Bricker

Abstract read
In one paragraph

Article in Risk analysis : an official publication of the Society for Risk Analysis, 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.

Tessa SwansonIndustrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0002-4814-3436
Seth GuikemaIndustrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0001-6024-0303
Benjamin Nelson-MercerCivil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0002-0738-1390
Jeremy BrickerCivil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0002-7503-6652

Funding

Horace H. Rackham School of Graduate Studies, University of Michigan Predoctoral FellowshipMichigan Institute for Computational Discovery and Engineering 2021 Catalyst GrantNational Science Foundation DGE 1841052U.S. Coastal Research Program NA23OAR4170115
6 · The paper itself

Abstract

Essential services are necessary for individuals to recover from and adapt to disruptive events, yet the relationship between access to such services and recovery trajectory is poorly understood. Data on household recovery times are typically only available through surveys, which are limited in scale and scope. Further, the availability of all open and accessible essential services facilities in a region may not be recorded anywhere. Location-based services (LBS) data from cell phones offers new opportunities for estimating this relationship. Using LBS data, we approximate facility availability and household recovery times following Hurricane Irma in Southwest Florida in 2017 and then statistically model the importance of access for recovery incorporating social vulnerability, local storm parameters, and infrastructure outage variables. We show that power, cell service, and school outages rank highest in importance, followed by measures of access to essential services. These results underscore the importance of including access metrics for predicting community recovery and evaluating resilience as well as the need for planning and policies that improve access to essential services both in times of stability and disruption.

Indexed as

accessdisaster recoverylocation‐based services datamachine learning

Identifiers

PMID42603109
PMCPMC13476867

What OpenQuestion holds

Textmetadata
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.