Evidence map›Paper›PMID 41282681›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Comparison of contact diaries and wearable proximity sensors in measuring household contacts in low- and middle-income countries.

Machi Shiiba, Moses C Kiti, Obianuju Aguolu, Noureen Ahmed, Charfudin Sacoor, Ivalda Macicame, Edgar Jamisse, Corssino Tchavana, Orvalho Augusto, Americo Jose and 12 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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

22 authors.

Machi ShiibaEmory University Rollins School of Public Health, Atlanta, GA, USA.ORCID 0009-0008-7889-7651
Moses C KitiEmory University Rollins School of Public Health, Atlanta, GA, USA.
Obianuju AguoluThe Ohio State University, Columbus, Ohio, USA.ORCID 0000-0002-7082-3024
Noureen AhmedPeter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, TX, USA.
Charfudin SacoorManhiça Health Research Centre, Manhiça, Mozambique.
Ivalda MacicamePolana Caniço Health Research Centre, Maputo, Mozambique.
Edgar JamisseManhiça Health Research Centre, Manhiça, Mozambique.
Corssino TchavanaManhiça Health Research Centre, Manhiça, Mozambique.
Orvalho AugustoManhiça Health Research Centre, Manhiça, Mozambique.
Americo JosePolana Caniço Health Research Centre, Maputo, Mozambique.
Migdalia WambaPolana Caniço Health Research Centre, Maputo, Mozambique.
Nilzio CavelePolana Caniço Health Research Centre, Maputo, Mozambique.
Azucena BardajiBarcelona Institute for Global Health, Barcelona, Spain.
Herberth MaldonadoUniversidad del Valle de Guatemala, Guatemala City, Guatemala.
Rajan SrinivasanChristian Medical College Vellore, Vellore, India.
Venkata Raghava MohanChristian Medical College Vellore, Vellore, India.ORCID 0000-0001-5787-7223
Momin KaziThe Aga Khan University, Karachi, Pakistan.
Raheel AllanaThe Aga Khan University, Karachi, Pakistan.
Fauzia MalikPeter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, TX, USA.
Benjamin A LopmanEmory University Rollins School of Public Health, Atlanta, GA, USA.
Saad B OmerPeter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, TX, USA.
Kristin N NelsonEmory University Rollins School of Public Health, Atlanta, GA, USA.

Funding

Emory/Georgia TB Research Advancement Center (TRAC)P30AI168386 · NIAID · EMORY UNIVERSITY · PI Neel Rajnikant Gandhi, Jyothi Rengarajan · 2022 to 2026
$5.8M
Comprehensive Profiling of Social Mixing Patterns in Resource Poor CountriesR01HD097175 · NICHD · EMORY UNIVERSITY · PI LOPMAN, BENJAMIN A, OMER, SAAD B. · 2019 to 2023
$2.6M
Estimating the Epidemiologic Impact of TB Vaccines using Mathematical ModelsK01AI166093 · NIAID · EMORY UNIVERSITY · PI Kristin Nicole Bratton Nelson · 2022 to 2026
$731k
NIAID NIH HHS K01 AI166093NIAID NIH HHS P30 AI168386NICHD NIH HHS R01 HD097175
6 · The paper itself

Abstract

Background: Respiratory and enteric infections remain a high burden worldwide. The spread of these infections is driven by person-to-person interactions, or 'contacts'. Contact diaries have been widely used to collect information such as the number of contacts a person has throughout the day, and characteristics of each interaction that may be relevant for disease transmission. Wearable proximity sensors have been used to complement data from contact diaries, and in particular to capture contacts among children who are not able to report their contacts. Studies that have compared contact diary and wearable proximity sensors are mostly in high-income countries or conducted in small populations in low- and middle-income countries (LMICs). We aimed to compare how effectively the two methods capture contacts relevant for disease transmission in LMICs' household settings. Methods: We conducted a population-based study and collected social contact data with contact diary and wearable proximity sensor in four LMICs - Guatemala, India, Mozambique, and Pakistan. We compared the number, concordance, and duration of contacts captured by the sensors and the reported in the contact diaries. Results: 421 participants documented a total of 1189 unique contacts on contact diaries, and recorded 1248 unique sensor contacts. The mean number of unique contacts was higher in the contact diary than recorded by the sensors in India, lower in the contact diary than recorded by the sensors in Mozambique and Pakistan, and similar in Guatemala. In all countries, more than half of contact pairs were reported by both contact diary and sensors, though this varied by site with 56% of contact pairs reported by both methods in Mozambique and 87% of contact pairs in India. The duration of contacts reported by concordant contact pairs was longer in contact diary compared to the duration captured by sensors in all four countries. Conclusions: This study demonstrated that both contact diaries and wearable proximity sensors have unique features in measuring social contacts in LMICs, suggesting that they are complementary. Future work should consider the characteristics of each method in understanding person-to-person interactions relevant for infectious disease transmission and implement suitable options for the scope of their study.

Indexed as

contact diaryinfectious disease transmissionLMICsproximity sensorsocial contact patterns

Identifiers

PMID41282681
PMCPMC12632659

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.