Evidence map›Paper›PMID 36852156›Full record

ArticleIJID regions2023

Household transmission dynamics of COVID-19 among residents of Delhi, India: a prospective case-ascertained study.

Farzana Islam, Yasir Alvi, Mohammad Ahmad, Faheem Ahmed, Anisur Rahman, Farishta Hannah D Singh, Ayan Kumar Das, Mridu Dudeja, Ekta Gupta, Rashmi Agarwalla and 2 more

Open access · goldAbstract read
In one paragraph

Article in IJID regions, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 24% of its field
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

12 authors at 4 institutions in 2 countries.

Farzana IslamDepartment of Community Medicine, Hamdard Institute of Medical Science and Research, New Delhi, India.
Yasir AlviDepartment of Community Medicine, Hamdard Institute of Medical Science and Research, New Delhi, India.
Mohammad AhmadWorld Health Organization, Country Office, India.
Faheem AhmedDepartment of Community Medicine, Hamdard Institute of Medical Science and Research, New Delhi, India.
Anisur RahmanWorld Health Organization, Country Office, India.
Farishta Hannah D SinghDepartment of Community Medicine, Hamdard Institute of Medical Science and Research, New Delhi, India.
Ayan Kumar DasDepartment of Microbiology, Hamdard Institute of Medical Science and Research, New Delhi, India.
Mridu DudejaDepartment of Microbiology, Hamdard Institute of Medical Science and Research, New Delhi, India.
Ekta GuptaScientist-E, National Institute of Cancer Prevention and Research, ICMR, Noida, India.
Rashmi AgarwallaDepartment of Community and Family Medicine, All India Institute of Medical Science, Guwahati, India.
Iqbal AlamDepartment of Physiology, Hamdard Institute of Medical Science and Research, New Delhi, India.
Sushovan RoyDepartment of Community Medicine, Hamdard Institute of Medical Science and Research, New Delhi, India.
Jamia Hamdard · INWorld Health Organization - India · INAll India Institute of Medical Sciences Guwahati · INNational Institute of Cancer Prevention and Research · IN

Funding

World Health Organization 001
6 · The paper itself

Abstract

Objective: The aim of this study was to observe the secondary infection rate and transmission dynamics of COVID-19 among household contacts, and their associations with various factors across four dimensions of interaction. Methods: This was a case-ascertained study among unvaccinated household contacts of a laboratory-confirmed COVID-19 case in New Delhi between December 2020 and July 2021. For this study, 99 index cases and their 316 household contacts were interviewed and sampled (blood and oro-nasal swab) on days 1, 7, 14, and 28. Results: The secondary infection rate among unvaccinated household contacts was 44.6% (95% confidence interval (CI) 39.1-50.1). The predictors of secondary infection among individual contact levels were: being female (odds ratio (OR) 2.13), increasing age (OR 1.01), symptoms at baseline (OR 3.39), and symptoms during follow-up (OR 3.18). Among index cases, age of the primary case (OR 1.03) and symptoms during follow-up (OR 6.29) were significantly associated with secondary infection. Among household-level and contact patterns, having more rooms (OR 4.44) and taking care of the index case (OR 2.02) were significantly associated with secondary infection. Conclusion: A high secondary infection rate highlights the need to adopt strict measures and advocate COVID-19-appropriate behaviors. A targeted approach for higher-risk household contacts would efficiently limit infections among susceptible contacts.

Indexed as

close-contact transmissioncommunity spreadCOVID-19epidemiological characteristicssecondary attack rate

Identifiers

PMID36852156
PMCPMC9946776
OpenAlexW4321602047

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.