Cited by 34Data-Driven Disease SurveillanceViral Infections and Outbreaks ResearchMobile Health and mHealth Applications

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Evaluating the use of cell phone messaging for community Ebola syndromic surveillance in high risked settings in Southern Sierra

Open access
Jia, K, Mohamed, K·2015·African Health Sciences

Abstract

BACKGROUND: Most underdeveloped countries do not meet core disease outbreak surveillance because of the lack of human resources, laboratory and infrastructural facilities. The use of cell phone technology for disease outbreak syndromic surveillance is a new phenomenon in Sierra Leone despite its successes in other developing countries like Sri Lanka. In this study we set to evaluate the effectiveness of using cell phone technology for Ebola hemorrhagic fever syndromic surveillance in a high risked community in Sierra Leone. OBJECTIVES: This study evaluated the effectiveness of using cell phone messaging (text and calls) for community Ebola hemorrhagic fever syndromic surveillance in high risked community in southern Sierra Leone. METHOD: All cell phone syndromic surveillance data used for this study was reported as cell phone alert messages-texts and voice calls; by the Moyamba District Health Management Team for both Ebola hemorrhagic fever suspect and mortalities. We conducted a longitudinal data analysis of the monthly cumulative confirmed Ebola hemorrhagic fever cases and mortalities collected by both the traditional sentinel and community cell phone syndromic surveillance from August 2014 to October 2014. RESULTS: A total of 129 and 49 Ebola hemorrhagic fever suspect and confirmed cases respectively were recorded using the community Ebola syndromic surveillance cell phone alert system by the Moyamba District Health Management Team in October 2014. The average number of Ebola hemorrhagic fever suspects and confirmed cases for October 2014 were 4.16 (Std.dev 3.76) and 1.58 (Std.dev 1.43) respectively. Thirty-four percent (n=76) of the community Ebola syndromic surveillance cell phone alerts that were followed-up within 24 hours reported Ebola hemorrhagic fever suspect cases while 65.92% (n=147) reported mortality. CONCLUSION: Our study suggests some form of underreporting by the traditional sentinel Ebola hemorrhagic fever disease surveillance system in Moyamba District southern Sierra Leone for August-September 2014. Cell phone messaging technology can be effectively use as a tool for community epidemic surveillance from peripheral health care facilities to higher levels.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.4314/ahs.v15i3.13

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Metadata

Authors
Jia, K., & Mohamed, K.
Affiliations
  • University of Kentucky (US)
  • Njala University (SL)
Venue
African Health Sciences
Published
2015-09-09
Volume
15
Issue
3
Pages
797
ISSN
1680-6905 (ISSN-L)
OpenAlex
W1881256043
Cited by
34
References
3
Citations by year
2025: 2 · 2024: 1 · 2023: 4 · 2022: 1 · 2021: 9 · 2020: 7 · 2019: 4 · 2018: 3 · 2017: 2 · 2015: 1
FWCI
1.57
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • African Health Sciences (publishedVersion, cc-by)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Epidemiology › Data-Driven Disease Surveillance
  • Health Sciences › Medicine › Infectious Diseases › Viral Infections and Outbreaks Research
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords
Ebola virus disease, syndromic surveillance, mobile health, community-based surveillance, outbreak surveillance, underreporting, sentinel surveillance, Sierra Leone
MeSH terms
Disease Outbreaks, Humans, Population Surveillance, Residence Characteristics, Sierra Leone, Program Evaluation, Sentinel Surveillance, Hemorrhagic Fever, Ebola, Cell Phone, Text Messaging

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review