Evidence map›Paper›PMID 34351866›Full record

ArticleJMIR research protocols2021

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

Abigail R Greenleaf, Gerald Mwima, Molibeli Lethoko, Martha Conkling, George Keefer, Christiana Chang, Natasha McLeod, Haruka Maruyama, Qixuan Chen, Shannon M Farley and 1 more

Abstract read
In one paragraph

Article in JMIR research protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. HIV retesting among people living with HIV in Lesotho in 2022.International journal of STD & AIDS · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

11 authors.

Abigail R GreenleafICAP at Columbia University, Mailman School of Public Health, Columbia University, New York, NY, United States.ORCID https://orcid.org/0000-0002-8261-7025
Gerald MwimaICAP at Columbia University - Lesotho, Mailman School of Public Health, Columbia University, Maseru, Lesotho.ORCID https://orcid.org/0000-0002-6248-7673
Molibeli LethokoICAP at Columbia University - Lesotho, Mailman School of Public Health, Columbia University, Maseru, Lesotho.ORCID https://orcid.org/0000-0002-4339-9870
Martha ConklingDivision of Global HIV/AIDS, Center for Global Health, US Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID https://orcid.org/0000-0003-0621-7617
George KeeferICAP at Columbia University, Mailman School of Public Health, Columbia University, New York, NY, United States.ORCID https://orcid.org/0000-0002-7071-6034
Christiana ChangICAP at Columbia University, Mailman School of Public Health, Columbia University, New York, NY, United States.ORCID https://orcid.org/0000-0001-6337-688X
Natasha McLeodICAP at Columbia University, Mailman School of Public Health, Columbia University, New York, NY, United States.ORCID https://orcid.org/0000-0001-5081-2224
Haruka MaruyamaICAP at Columbia University - Tanzania, Mailman School of Public Health, Columbia University, Dar es Salaam, United Republic of Tanzania.ORCID https://orcid.org/0000-0002-4456-3302
Qixuan ChenDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, United States.ORCID https://orcid.org/0000-0002-4199-1766
Shannon M FarleyICAP at Columbia University, Mailman School of Public Health, Columbia University, New York, NY, United States.ORCID https://orcid.org/0000-0003-0321-5974
Andrea LowICAP at Columbia University, Mailman School of Public Health, Columbia University, New York, NY, United States.ORCID https://orcid.org/0000-0002-7088-4556

Funding

CGH CDC HHS U01 GH002171
6 · The paper itself

Abstract

backgroundThe increase in cell phone ownership in low- and middle-income countries (LMIC) has created an opportunity for low-cost, rapid data collection by calling participants on their cell phones. Cell phones can be mobilized for a myriad of data collection purposes, including surveillance. In LMIC, cell phone-based surveillance has been used to track Ebola, measles, acute flaccid paralysis, and diarrheal disease, as well as noncommunicable diseases. Phone-based surveillance in LMIC is a particularly pertinent, burgeoning approach in the context of the COVID-19 pandemic. Participatory surveillance via cell phone could allow governments to assess burden of disease and complements existing surveillance systems.

objectiveWe describe the protocol for the LeCellPHIA (Lesotho Cell Phone PHIA) 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 a recent face-to-face survey.

methodsWe established a phone-based surveillance system to collect ILI symptoms from approximately 1700 participants 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 years old, 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 1 person per household. We oversampled the elderly, as they are more likely to be affected by COVID-19. A 3-day Zoom training was conducted in June 2020 to train LeCellPHIA interviewers.

resultsThe surveillance system launched July 1, 2020, beginning with a 2-week enrollment period followed by weekly calls that will continue until September 30, 2022. Of the 11,975 phone numbers that were in the sample frame, 3020 were sampled, and 1778 were enrolled.

conclusionsThe 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. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/31236.

Indexed as

Africa south of the Saharacell phonesCOVID-19mHealthsurveillance

Identifiers

PMID34351866
PMCPMC8478051

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.