Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Research Protocols

Date Submitted: Jun 24, 2021
Date Accepted: Aug 1, 2021
Date Submitted to PubMed: Aug 12, 2021
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Participatory Surveillance of COVID-19 in Lesotho via Weekly Calls: Protocol for Cell Phone Data Collection

Greenleaf A, Mwima G, Lethoko M, Conkling M, Keefer G, Chang C, McLeod N, Maruyama H, Chen Q, Farley S, Low A

Participatory Surveillance of COVID-19 in Lesotho via Weekly Calls: Protocol for Cell Phone Data Collection

JMIR Res Protoc 2021;10(9):e31236

DOI: 10.2196/31236

PMID: 34351866

PMCID: 8478051

Participatory surveillance of COVID-19 in Lesotho via weekly calls: Protocol for cell phone data collection

  • Abigail Greenleaf; 
  • Gerald Mwima; 
  • Molibeli Lethoko; 
  • Martha Conkling; 
  • George Keefer; 
  • Christiana Chang; 
  • Natasha McLeod; 
  • Haruka Maruyama; 
  • Qixuan Chen; 
  • Shannon Farley; 
  • Andrea Low

ABSTRACT

Background:

The proliferation of cell phone ownership in low- and middle- income countries has created an opportunity for low-cost, rapid turnaround data collection by calling respondents on their cell phones. Cell phones can be mobilized for myriad COVID-19 data collection purposes, including surveillance. Cell phone-based surveillance has been used for Ebola, measles, acute flaccid paralysis, and diarrheal disease, as well as non-communicable diseases. This burgeoning approach is particularly pertinent in the context of the COVID-19 pandemic since in-person data collection was discouraged, particularly at the beginning of the pandemic. Community surveillance via cell phone could allow governments to assess burden of disease and complements existing surveillance systems.

Objective:

We describe the protocol for the LeCellPHIA project, a cell phone surveillance system that collects weekly population-based data on influenza-like illness (ILI) in Lesotho by calling a representative sample of recent face-to-face survey respondents.

Methods:

We established a phone-based surveillance system to collect ILI symptoms from approximately 1700 respondents who had participated in a recent face-to-face survey in Lesotho, the Population-based HIV Impact Assessment (PHIA) Survey. Of the 15,267 PHIA participants who were over 18, 11,975 (78.44%) consented to future research and provided a valid phone number. We followed the PHIA sample design and included 342 primary sampling units from 10 districts. We randomly selected 5 households from each primary sampling unit that had an eligible participant and sampled one person per household. We oversampled those who were less likely to have a cell phone, and the elderly, as they are likely to be affected by COVID-19. A three-day Zoom training was conducted in June 2020 to train PHIA interviewers.

Results:

The surveillance system launched July 1, 2020, beginning with a two-week enrollment period followed by weekly calls that will continue until September 30, 2021. Of the 11,975 phone numbers that were in the sample frame, 2,523 were sampled and 1,778 were enrolled.

Conclusions:

The surveillance system will track COVID-19 in a resource-limited setting. The novel approach of a weekly cell phone-based surveillance system can be used to track other health outcomes and this protocol provides information about how to implement such a system.


 Citation

Please cite as:

Greenleaf A, Mwima G, Lethoko M, Conkling M, Keefer G, Chang C, McLeod N, Maruyama H, Chen Q, Farley S, Low A

Participatory Surveillance of COVID-19 in Lesotho via Weekly Calls: Protocol for Cell Phone Data Collection

JMIR Res Protoc 2021;10(9):e31236

DOI: 10.2196/31236

PMID: 34351866

PMCID: 8478051

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.
Advertisement