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.
Competing Interest Statement
The authors have declared no competing interest.
Funding Statement
This study was funded by NIH/NICHD R01HD097175-01. K.N. was funded by NIH/NIAID K01AI166093-01A1.
Author Declarations
I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.
Yes
The details of the IRB/oversight body that provided approval or exemption for the research described are given below:
IRB of Emory University, Yale University (reliance agreement), UT Southwestern (reliance agreement), and review boards at Christian Medical College Vellore, Universidad del Valle de Guatemala and the National Ethics Committee from the Ministry of Public Health and Social Assistance in Guatemala, Manhica Health Research Institute Internal Scientific Committee and Internal Ethical Review Board, and The Aga Khan University gave ethical approval for this work.
I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals.
Yes
I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).
Yes
I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable.
Yes
List of abbreviations
- LMICs
- Low- and middle-income countries
- ID
- Identification number
- RSSI
- Received signal strength indicator
- SD
- Standard deviation
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