Evidence map›Paper›PMID 35592086›Full record

ArticleFrontiers in public health2022

Social Contacts and Transmission of COVID-19 in British Columbia, Canada.

Notice Ringa, Sarafa A Iyaniwura, Samara David, Mike A Irvine, Prince Adu, Michelle Spencer, Naveed Z Janjua, Michael C Otterstatter

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

8 authors.

Notice RingaData and Analytic Services, British Columbia Centre for Disease Control, Vancouver, BC, Canada.
Sarafa A IyaniwuraData and Analytic Services, British Columbia Centre for Disease Control, Vancouver, BC, Canada.
Samara DavidData and Analytic Services, British Columbia Centre for Disease Control, Vancouver, BC, Canada.
Mike A IrvineData and Analytic Services, British Columbia Centre for Disease Control, Vancouver, BC, Canada.
Prince AduData and Analytic Services, British Columbia Centre for Disease Control, Vancouver, BC, Canada.
Michelle SpencerData and Analytic Services, British Columbia Centre for Disease Control, Vancouver, BC, Canada.
Naveed Z JanjuaData and Analytic Services, British Columbia Centre for Disease Control, Vancouver, BC, Canada.
Michael C OtterstatterData and Analytic Services, British Columbia Centre for Disease Control, Vancouver, BC, Canada.

Funding

CIHR VR5-172683
6 · The paper itself

Abstract

Background: Close-contact rates are thought to be a driving force behind the transmission of many infectious respiratory diseases. Yet, contact rates and their relation to transmission and the impact of control measures, are seldom quantified. We quantify the response of contact rates, reported cases and transmission of COVID-19, to public health contact-restriction orders, and examine the associations among these three variables in the province of British Columbia, Canada. Methods: We derived time series data for contact rates, daily cases and transmission of COVID-19 from a social contacts survey, reported case counts and by fitting a transmission model to reported cases, respectively. We used segmented regression to investigate impacts of public health orders; Pearson correlation to determine associations between contact rates and transmission; and vector autoregressive modeling to quantify lagged associations between contacts rates, daily cases, and transmission. Results: Declines in contact rates and transmission occurred concurrently with the announcement of public health orders, whereas declines in cases showed a reporting delay of about 2 weeks. Contact rates were a significant driver of COVID-19 and explained roughly 19 and 20% of the variation in new cases and transmission, respectively. Interestingly, increases in COVID-19 transmission and cases were followed by reduced contact rates: overall, daily cases explained about 10% of the variation in subsequent contact rates. Conclusion: We showed that close-contact rates were a significant time-series driver of transmission and ultimately of reported cases of COVID-19 in British Columbia, Canada and that they varied in response to public health orders. Our results also suggest possible behavioral feedback, by which increased reported cases lead to reduced subsequent contact rates. Our findings help to explain and validate the commonly assumed, but rarely measured, response of close contact rates to public health guidelines and their impact on the dynamics of infectious diseases.

Indexed as

COVID-19British ColumbiaHumansPublic HealthSARS-CoV-2correlationCOVID-19regressionsocial contactstransmission control

Identifiers

PMID35592086
PMCPMC9110764

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.