Evidence map›Paper›PMID 35634748›Full record

ArticleDisaster medicine and public health preparedness2022

The Community Assessment to Inform Rapid Response (CAIRR): A Novel Qualitative Data Collection and Analytic Process to Facilitate Hyperlocal COVID-19 Emergency Response Operations in New York City.

Madhury Ray, Rachel Dannefer, Jennifer Pierre, Lauren J Shiman, Hannah L Helmy, Shelby R Boyle, Jae Eun M Chang, Alyssa Creighton, Maria A Soto, Jacqlene Moran

Abstract read
In one paragraph

Article in Disaster medicine and public health preparedness, 2022. 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
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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

10 authors.

Madhury RayNew York City Department of Health and Mental Hygiene, New York, NY, USA.ORCID 0000-0003-4443-0531
Rachel DanneferNew York City Department of Health and Mental Hygiene, New York, NY, USA.
Jennifer PierreNew York City Department of Health and Mental Hygiene, New York, NY, USA.
Lauren J ShimanNew York City Department of Health and Mental Hygiene, New York, NY, USA.
Hannah L HelmyNew York City Department of Health and Mental Hygiene, New York, NY, USA.
Shelby R BoyleNew York City Department of Health and Mental Hygiene, New York, NY, USA.
Jae Eun M ChangNew York City Department of Health and Mental Hygiene, New York, NY, USA.
Alyssa CreightonNew York City Department of Health and Mental Hygiene, New York, NY, USA.
Maria A SotoNew York City Department of Health and Mental Hygiene, New York, NY, USA.
Jacqlene MoranNew York City Department of Health and Mental Hygiene, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

All disasters are local but implementing a hyperlocal response in the midst of a public health emergency is challenging. The availability of neighborhood-level qualitative data that are both timely and relevant to evolving objectives and operations is a limiting factor. In 2020, the New York City Department of Health and Mental Hygiene (NYC DOHMH) responded to the COVID-19 emergency using a novel, hyperlocal approach. Key to the implementation of this approach was the creation of the Community Assessment to Inform Rapid Response (CAIRR), a process for rapid collection and analysis of neighborhood-specific, objective-focused, qualitative data to inform tailored response operations. This paper describes the process of developing the CAIRR and its contribution to the NYC DOHMH's hyperlocal response in order to guide other jurisdictions seeking to employ a hyperlocal approach in future disaster responses.

Indexed as

COVID-19DisastersData CollectionHumansNew York CityPublic HealthCOVID-19 incident command systemdisaster responsehealth equityhyperlocal

Identifiers

PMID35634748
PMCPMC9300969

What OpenQuestion holds

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LicenceCC BY
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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.