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Published in: BMC Public Health 1/2020

Open Access 01-12-2020 | Public Health | Research article

Assessment of electronic disease early warning system for improved disease surveillance and outbreak response in Yemen

Authors: Fekri Dureab, Kamran Ahmed, Claudia Beiersmann, Claire J. Standley, Ali Alwaleedi, Albrecht Jahn

Published in: BMC Public Health | Issue 1/2020

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Abstract

Background

Diseases Surveillance is a continuous process of data collection, analysis interpretation and dissemination of information for swift public health action. Recent advances in health informatics have led to the implementation of electronic tools to facilitate such critical disease surveillance processes. This study aimed to assess the performance of the national electronic Disease Early Warning System in Yemen (eDEWS) using system attributes: data quality, timeliness, stability, simplicity, predictive value positive, sensitivity, acceptability, flexibility, and representativeness, based on the Centres for Disease Control & Prevention (US CDC) standard indicators.

Methods

We performed a mixed methods study that occurred in two stages: first, the quantitative data was collected from weekly epidemiological bulletins from 2013 to 2017, all alerts of 2016, and annual eDEWS reports, and then the qualitative method using in-depth interviews was carried out in a convergent strategy. The CDC guideline used to describe the following system attributes: data quality (reporting, and completeness), timeliness, stability, simplicity, predictive value positive, sensitivity, acceptability, flexibility and representativeness.

Results

The finding of this assessment showed that eDEWS is a resilient and reliable system, and despite the conflict in Yemen, the system is still functioning and expanding. The response timeliness remains a challenge, since only 21% of all eDEWS alerts were verified within the first 24 h of detection in 2016. However, identified gaps did not affect the system’s ability to identify outbreaks in the current fragile situation. Findings show that eDEWS data is representative, since it covers the entire country. Although, eDEWS covers only 37% of all health facilities, this represents 83% of all functional health facilities in all 23 governorates and all 333 districts.

Conclusion

The quality and timeliness of responses are major challenges to eDEWS’ functionality, the eDEWS remains the only system that provides regular data on communicable diseases in Yemen. In particular, public health response timeliness needs improvement.
Literature
3.
go back to reference Ahmed KBM, Altaf MD, Lugula PC, Popal GR, Abouzeid A, Lamunu M. Development and implementation of electronic disease early warning Systems for Optimal Disease Surveillance and Response during humanitarian crisis and Ebola outbreak in Yemen, Somalia, Liberia and Pakistan. Online J Public Health Inform. 2019;11(2):e11.PubMedPubMedCentralCrossRef Ahmed KBM, Altaf MD, Lugula PC, Popal GR, Abouzeid A, Lamunu M. Development and implementation of electronic disease early warning Systems for Optimal Disease Surveillance and Response during humanitarian crisis and Ebola outbreak in Yemen, Somalia, Liberia and Pakistan. Online J Public Health Inform. 2019;11(2):e11.PubMedPubMedCentralCrossRef
5.
go back to reference El Bcheraoui C, Jumaan AO, Collison ML, Daoud F, Mokdad AH. Health in Yemen: losing ground in war time. Glob Health. 2018;14(1):42.CrossRef El Bcheraoui C, Jumaan AO, Collison ML, Daoud F, Mokdad AH. Health in Yemen: losing ground in war time. Glob Health. 2018;14(1):42.CrossRef
7.
go back to reference WHO. Outbreak surveillance and response in humanitarian emergencies. Geneva. 2012. WHO. Outbreak surveillance and response in humanitarian emergencies. Geneva. 2012.
9.
go back to reference Ahmed K, Altaf D, Dureab F. Electronic infectious disease surveillance Sysem during Humaniterian crises in Yemen. Online J Public Health Inform. 2014;6(1):e134.PubMedCentralCrossRef Ahmed K, Altaf D, Dureab F. Electronic infectious disease surveillance Sysem during Humaniterian crises in Yemen. Online J Public Health Inform. 2014;6(1):e134.PubMedCentralCrossRef
10.
go back to reference WHO, MoPHP. Annual report of electronic diseases early warning system, Sana’a, Yemen: Ministry of Public Health and Population 2016. WHO, MoPHP. Annual report of electronic diseases early warning system, Sana’a, Yemen: Ministry of Public Health and Population 2016.
12.
go back to reference CDC. Updated Guidelines for Evaluating Public Health Surveillance System. MMWR. 2001;50(RR13):1–35. CDC. Updated Guidelines for Evaluating Public Health Surveillance System. MMWR. 2001;50(RR13):1–35.
13.
go back to reference Dureab F. The usefulness of the electronic disease early warning system (eDEWS) in the humanitarian crisis of Yemen. Heidelberg Heidelberg Hospital University 2020. Dureab F. The usefulness of the electronic disease early warning system (eDEWS) in the humanitarian crisis of Yemen. Heidelberg Heidelberg Hospital University 2020.
15.
go back to reference Makombe SD, Hochgesang M, Jahn A, Tweya H, Hedt B, Chuka S, et al. Assessing the quality of data aggregated by antiretroviral treatment clinics in Malawi. Bull World Health Organ. 2008;86(4):310–4.PubMedPubMedCentralCrossRef Makombe SD, Hochgesang M, Jahn A, Tweya H, Hedt B, Chuka S, et al. Assessing the quality of data aggregated by antiretroviral treatment clinics in Malawi. Bull World Health Organ. 2008;86(4):310–4.PubMedPubMedCentralCrossRef
16.
go back to reference Kiberu VM, Matovu JKB, Makumbi F, Kyozira C, Mukooyo E, Wanyenze RK. Strengthening district-based health reporting through the district health management information software system: the Ugandan experience. BMC Med Inform Decision Mak. 2014;14(1):40.CrossRef Kiberu VM, Matovu JKB, Makumbi F, Kyozira C, Mukooyo E, Wanyenze RK. Strengthening district-based health reporting through the district health management information software system: the Ugandan experience. BMC Med Inform Decision Mak. 2014;14(1):40.CrossRef
17.
go back to reference Mayad M, Alyusfi R, Assabri A, Khader Y. An electronic disease early warning system in Sana'a governorate, Yemen: evaluation study. JMIR Public Health Surveill. 2019;5(4):e14295.PubMedPubMedCentralCrossRef Mayad M, Alyusfi R, Assabri A, Khader Y. An electronic disease early warning system in Sana'a governorate, Yemen: evaluation study. JMIR Public Health Surveill. 2019;5(4):e14295.PubMedPubMedCentralCrossRef
18.
go back to reference Adokiya MN, Awoonor-Williams JK, Barau IY, Beiersmann C, Mueller O. Evaluation of the integrated disease surveillance and response system for infectious diseases control in northern Ghana. BMC Public Health. 2015;15(1):75.PubMedPubMedCentralCrossRef Adokiya MN, Awoonor-Williams JK, Barau IY, Beiersmann C, Mueller O. Evaluation of the integrated disease surveillance and response system for infectious diseases control in northern Ghana. BMC Public Health. 2015;15(1):75.PubMedPubMedCentralCrossRef
19.
go back to reference Diane F, Morof AA-Z, Muireann B. An evaluation of an early warning alert and response network (EWARN) in Darfur, Sudan. Med J Cairo Univ. 2013;81(2):209–17. Diane F, Morof AA-Z, Muireann B. An evaluation of an early warning alert and response network (EWARN) in Darfur, Sudan. Med J Cairo Univ. 2013;81(2):209–17.
20.
go back to reference Ahmed K, Ajanga A, Saleh OA, Altaf MD, Popal GR. Application of an innovative data analytical approach to assessing the disease situation during crises in Somalia, Yemen and Pakistan. Online J Public Health Inform. 2015;7(1):e101.PubMedCentralCrossRef Ahmed K, Ajanga A, Saleh OA, Altaf MD, Popal GR. Application of an innovative data analytical approach to assessing the disease situation during crises in Somalia, Yemen and Pakistan. Online J Public Health Inform. 2015;7(1):e101.PubMedCentralCrossRef
21.
go back to reference Dureab F, Ismail O, Müller O, Jahn A. Cholera outbreak in Yemen: timeliness of reporting and response in the National Electronic Disease Early Warning System. Acta Inform Med. 2019;27(2):85–8.PubMedPubMedCentralCrossRef Dureab F, Ismail O, Müller O, Jahn A. Cholera outbreak in Yemen: timeliness of reporting and response in the National Electronic Disease Early Warning System. Acta Inform Med. 2019;27(2):85–8.PubMedPubMedCentralCrossRef
22.
go back to reference Fahey RL. Evaluation of the system attributes of timeliness and completeness of the West Virginia electronic disease surveillance System' NationalEDSS based system. Walden Dissertations and Doctoral Studies: Walden University; 2015. Fahey RL. Evaluation of the system attributes of timeliness and completeness of the West Virginia electronic disease surveillance System' NationalEDSS based system. Walden Dissertations and Doctoral Studies: Walden University; 2015.
23.
go back to reference CDC. Lexicon, Definitions, and Conceptual Framework for Public Health Surveillance. MMWR. 2012;61:44. CDC. Lexicon, Definitions, and Conceptual Framework for Public Health Surveillance. MMWR. 2012;61:44.
24.
go back to reference Sparrow A, Almilaji K, Tajaldin B, Teodoro N, Langton P. Cholera in the time of war: implications of weak surveillance in Syria for the WHO's preparedness-a comparison of two monitoring systems. BMJ Glob health. 2016;1(3):e000029-e. Sparrow A, Almilaji K, Tajaldin B, Teodoro N, Langton P. Cholera in the time of war: implications of weak surveillance in Syria for the WHO's preparedness-a comparison of two monitoring systems. BMJ Glob health. 2016;1(3):e000029-e.
25.
go back to reference Adokiya MN, Awoonor-Williams JK, Beiersmann C, Müller O. Evaluation of the reporting completeness and timeliness of the integrated disease surveillance and response system in northern Ghana. Ghana Med J. 2016;50(1):3–8.PubMedPubMedCentralCrossRef Adokiya MN, Awoonor-Williams JK, Beiersmann C, Müller O. Evaluation of the reporting completeness and timeliness of the integrated disease surveillance and response system in northern Ghana. Ghana Med J. 2016;50(1):3–8.PubMedPubMedCentralCrossRef
26.
go back to reference Cordes KM, Cookson ST, Boyd AT, Hardy C, Malik MR, Mala P, et al. Real-time surveillance in emergencies using the early warning alert and response network. Emerg Infect Dis. 2017;23(13):S131–S7.PubMedCentralCrossRef Cordes KM, Cookson ST, Boyd AT, Hardy C, Malik MR, Mala P, et al. Real-time surveillance in emergencies using the early warning alert and response network. Emerg Infect Dis. 2017;23(13):S131–S7.PubMedCentralCrossRef
27.
go back to reference Leal J, Laupland KB. Validity of electronic surveillance systems: a systematic review. J Hosp Infect. 2008;69(3):220–9.PubMedCrossRef Leal J, Laupland KB. Validity of electronic surveillance systems: a systematic review. J Hosp Infect. 2008;69(3):220–9.PubMedCrossRef
28.
go back to reference German RR. Sensitivity and predictive value positive measurements for public health surveillance systems. Epidemiology. 2000;11(6):720–7.PubMedCrossRef German RR. Sensitivity and predictive value positive measurements for public health surveillance systems. Epidemiology. 2000;11(6):720–7.PubMedCrossRef
30.
go back to reference Merrill RM, Dearden KA. How representative are the surveillance, epidemiology, and end results (SEER) program cancer data of the United States? Cancer Causes Control. 2004;15(10):1027–34.PubMedCrossRef Merrill RM, Dearden KA. How representative are the surveillance, epidemiology, and end results (SEER) program cancer data of the United States? Cancer Causes Control. 2004;15(10):1027–34.PubMedCrossRef
31.
go back to reference WHO, MoPHP. Service availability and health facilities functionality in 16 governorates health services and resources availability mapping system. Sana'a, Yemen: World Health Organization Yemen Country Office and Ministery of Public Health and Population; 2016. WHO, MoPHP. Service availability and health facilities functionality in 16 governorates health services and resources availability mapping system. Sana'a, Yemen: World Health Organization Yemen Country Office and Ministery of Public Health and Population; 2016.
32.
go back to reference Debin M, Turbelin C, Blanchon T, Bonmarin I, Falchi A, Hanslik T, et al. Evaluating the feasibility and participants’ representativeness of an online Nationwide surveillance system for influenza in France. PLoS One. 2013;8(9):e73675.PubMedPubMedCentralCrossRef Debin M, Turbelin C, Blanchon T, Bonmarin I, Falchi A, Hanslik T, et al. Evaluating the feasibility and participants’ representativeness of an online Nationwide surveillance system for influenza in France. PLoS One. 2013;8(9):e73675.PubMedPubMedCentralCrossRef
33.
34.
go back to reference Schulz K, Calba C, Peyre M, Staubach C, Conraths FJ. Hunters' acceptability of the surveillance system and alternative surveillance strategies for classical swine fever in wild boar - a participatory approach. BMC Vet Res. 2016;12(1):187.PubMedPubMedCentralCrossRef Schulz K, Calba C, Peyre M, Staubach C, Conraths FJ. Hunters' acceptability of the surveillance system and alternative surveillance strategies for classical swine fever in wild boar - a participatory approach. BMC Vet Res. 2016;12(1):187.PubMedPubMedCentralCrossRef
Metadata
Title
Assessment of electronic disease early warning system for improved disease surveillance and outbreak response in Yemen
Authors
Fekri Dureab
Kamran Ahmed
Claudia Beiersmann
Claire J. Standley
Ali Alwaleedi
Albrecht Jahn
Publication date
01-12-2020
Publisher
BioMed Central
Keyword
Public Health
Published in
BMC Public Health / Issue 1/2020
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-020-09460-4

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