Evidence map›Paper›PMID 34936405›Full record

ArticleAmerican journal of public health2022

Prioritizing COVID-19 Contact Tracing During a Surge Using Chatbot Technology.

Brady D Johnson, Meg Wall Shui, Kiana Said, Alejandro Chavez, Darpun D Sachdev

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of public health, 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
  2. 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

5 authors.

Brady D JohnsonAll authors are with the Population Health Division, San Francisco Department of Public Health, San Francisco, CA. Brady D. Johnson is also with the Department of Tropical Medicine, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA.
Meg Wall ShuiAll authors are with the Population Health Division, San Francisco Department of Public Health, San Francisco, CA. Brady D. Johnson is also with the Department of Tropical Medicine, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA.
Kiana SaidAll authors are with the Population Health Division, San Francisco Department of Public Health, San Francisco, CA. Brady D. Johnson is also with the Department of Tropical Medicine, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA.
Alejandro ChavezAll authors are with the Population Health Division, San Francisco Department of Public Health, San Francisco, CA. Brady D. Johnson is also with the Department of Tropical Medicine, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA.
Darpun D SachdevAll authors are with the Population Health Division, San Francisco Department of Public Health, San Francisco, CA. Brady D. Johnson is also with the Department of Tropical Medicine, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When COVID-19 cases surge, identifying ways to improve the efficiency of contact tracing and prioritize vulnerable communities for isolation and quarantine support services is critical. During a fall 2020 COVID-19 resurgence in San Francisco, California, prioritization of telephone-based case investigation by zip code and using a chatbot to screen for case participants who needed isolation support reduced the number of case participants who would have been assigned for a telephone interview by 31.5% and likely contributed to 87.5% of Latinx case participants being successfully interviewed. (

Indexed as

Contact TracingCOVID-19HumansSan FranciscoSARS-CoV-2TechnologyTelephone

Identifiers

PMID34936405
PMCPMC8713632

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.