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 accessAbstract
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.
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Preventive health was the third most prevalent outcome, occurring in 5 of 30 articles (17%).
“The third most prevalent outcome was preventive health, occurring in 5 of 30 (17%) articles [22,52-55].”
From Barriers to the Use of Mobile Health in Improving Health Outcomes in Developing Countries: Systematic Review (2019) · cites this paper as [53]
SMS with or without phone calls and voice messages was the second highest, with a frequency of 4 of 26 interventions (15%).
“SMS with or without phone calls and voice messages was the second highest with a frequency of 4 of 26 interventions (15%) [22,32,39,53].”
From Barriers to the Use of Mobile Health in Improving Health Outcomes in Developing Countries: Systematic Review (2019) · cites this paper as [53]
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Preventing emerging infectious diseases; a strategy for the 21st century
Binder, S., & Levitt, A. M. (1998) · Cited by 170
Syndromic surveillance systems
Yan, P., Chen, H., & Zeng, D. D. (2008) · Annual Review of Information Science and Technology · doi:10.1002/aris.2008.1440420117 · Cited by 37
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Kruse, C., Betancourt, J., Ortiz, S., Valdes Luna, S. M., Bamrah, I. K., & Segovia, N. (2019) · Journal of Medical Internet Research · doi:10.2196/13263 · Cited by 299
Danquah, L. O., Hasham, N., MacFarlane, M., Conteh, F. E., Momoh, F., Tedesco, A. A., Jambai, A., Ross, D. A., & Weiss, H. A. (2019) · BMC Infectious Diseases · doi:10.1186/s12879-019-4354-z · Cited by 155
Khan, Y., Leung, G. J., Belanger, P., Gournis, E., Buckeridge, D. L., Liu, L., Li, Y., & Johnson, I. L. (2018) · Canadian Journal of Public Health · doi:10.17269/s41997-018-0059-0 · Cited by 11
“2015; Jia and Mohamed 2015) .”
Background
Metadata
- Authors
- Jia, K., & Mohamed, K.
- Affiliations
- University of Kentucky (US)
- Njala University (SL)
- Venue
- African Health Sciences
- Publisher
- African Journals Online (AJOL)
- Published
- 2015-09-09
- Volume
- 15
- Issue
- 3
- Pages
- 797
- ISSN
- 1680-6905 (ISSN-L)
- PMC
- PMC4765450
- 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
- diamond
- doi.org
- 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
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