1. Thacker SB, Berkelman RL. Public health surveillance in the United States. Epidemiologic reviews. 1988;10:164-90.
2. Isere EE, Fatiregun AA, Ajayi IO. An overview of disease surveillance and notification system in Nigeria and the roles of clinicians in disease outbreak prevention and control. Nigerian medical journal : journal of the Nigeria Medical Association. 2015;56(3):161-8.
3. Kindig D, Day P, Fox DM, Gibson M, Knickman J, Lomas J, et al. What new knowledge would help policymakers better balance investments for optimal health outcomes? Health services research. 2003;38(6 Pt 2):1923-37.
4. Soucie JM. Public health surveillance and data collection: general principles and impact on hemophilia care. Hematology (Amsterdam, Netherlands). 2012;17 Suppl 1:S144-6.
5. Institute of Medicine Committee on Assuring the Health of the Public in the 21st C. The Future of the Public's Health in the 21st Century. Washington (DC): National Academies Press (US)
Copyright 2003 by the National Academy of Sciences. All rights reserved.; 2002.
6. Thriemer K, Ley B, Ame S, K Puri M, Hashim R, Yoon Chang N, et al. Replacing paper data collection forms with electronic data entry in the field: Findings from a study of community-acquired bloodstream infections in Pemba, Zanzibar2012. 113 p.
7. Mukasa O, Mushi HP, Maire N, Ross A, de Savigny D. Do surveys with paper and electronic devices differ in quality and cost? Experience from the Rufiji Health and demographic surveillance system in Tanzania. Global Health Action. 2017;10(1):1387984.
8. Salaffi F, Gasparini S, Ciapetti A, Gutierrez M, Grassi W. Usability of an innovative and interactive electronic system for collection of patient-reported data in axial spondyloarthritis: comparison with the traditional paper-administered format. Rheumatology (Oxford, England). 2013;52(11):2062-70.
9. William J. Rudman, Jessica H. Bailey, Carol Hope, Paula Garrett, Brown CA. The Impact of a Web-based Reporting System on the Collection of Medication Error Occurrence Data Advances in Patient Safety. 2005;3.
10. Wood C, von Baeyer CL, Falinower S, Moyse D, Annequin D, Legout V. Electronic and paper versions of a faces pain intensity scale: concordance and preference in hospitalized children. BMC pediatrics. 2011;11:87.
11. Ma S, Lawpoolsri S. Effectiveness of Implementation of Electronic Malaria Information System as the National Malaria Surveillance System in Thailand. 2016;2(1):e20.
12. AbouZahr C, Boerma T. Health information systems: the foundations of public health. Bulletin of the World Health Organization. 2005;83(8):578-83.
13. MR. O. A review on barriers to implementing health informatics in developing countries. . Journal of Health Informatics in Developing Countries 2007;1(1):19–22.
14. Benson MB. “Adoption of Hospital Information Systems in Nigeria.”. Journal of Global Health Care Systems. 2011;1(no.3).
15. Kushniruk, AW, V. L. Patel, Cimino aJJ. “Usability Testing in Medical Informatics: Cognitive Approaches to Evaluation of Information Systems and User Interfaces.”. Proceedings of the AMIA Annual Fall Symposium 1997;:218.
16. Bangor A, Kortum PT, Miller JT. An Empirical Evaluation of the System Usability Scale. International Journal of Human–Computer Interaction. 2008;24(6):574-94.
17. Garrib A, Stoops N, McKenzie A, Dlamini L, Govender T, Rohde J, et al. An evaluation of the District Health Information System in rural South Africa2008. 549-52 p.
18. Makombe S, Hochgesang M, Jahn A, Tweya H, Hedt B, Chuka S, et al. Assessing the quality of data aggregated by antiretroviral treatment clinics in Malawi2008. 310-4 p.
19. Abiy R, Gashu K, Asemaw T, Mitiku M, Fekadie B, Abebaw Z, et al. A Comparison of Electronic Medical Record Data to Paper Records in Antiretroviral Therapy Clinic in Ethiopia: What is affecting the Quality of the Data? Online journal of public health informatics. 2018;10(2):e212.
20. Stausberg J, Koch D, Ingenerf J, Betzler M. Comparing paper-based with electronic patient records: lessons learned during a study on diagnosis and procedure codes. Journal of the American Medical Informatics Association : JAMIA. 2003;10(5):470-7.
21. Mphatswe W, Mate KS, Bennett B, Ngidi H, Reddy J, Barker PM, et al. Improving public health information: a data quality intervention in KwaZulu-Natal, South Africa. Bulletin of the World Health Organization. 2012;90:176-82.
22. El-Ibiary SY, Yam L, Lee KC. Assessment of burnout and associated risk factors among pharmacy practice faculty in the United States. American journal of pharmaceutical education. 2017;81(4).
23. Johnson RE, Ried LD, Robertson N. Self-reported burnout among HMO pharmacists. Journal of pharmaceutical marketing & management. 1987;2(2):107-27.
24. Braa J, Kanter AS, Lesh N, Crichton R, al. JBe. “Comprehensive yet scalable health information systems for low resource settings: a collaborative effort in Sierra Leone". AMIA Annual Symposium Proceedings-American Medical Informatics Association 2010:372-6.
25. Smyth JM. DHIS2 - Transforming Health IT Standards in the Developing World. Open Health news. 2017.
26. Ghosn N, Nasredine A, Baddour YM, Coulombier D, Nasserdine S. Electronic surveillance of outbreaks in Lebanon. BMC proceedings. 2008;2 Suppl 3:S2.
27. Nsubuga P, White ME, Thacker SB, Anderson MA, Blount SB, Broome CV, et al. Public Health Surveillance: A Tool for Targeting and Monitoring Interventions. In: nd, Jamison DT, Breman JG, Measham AR, Alleyne G, Claeson M, et al., editors. Disease Control Priorities in Developing Countries. Washington (DC): World Bank
The International Bank for Reconstruction and Development/The World Bank Group.; 2006.
28. World Health O. Joint external evaluation of IHR core capacities of the Lebanese Republic: mission report, 25-29 July 2016. Geneva: World Health Organization; 2017 2017. Contract No.: WHO/WHE/CPI/2017.2.
29. Manya A, Braa J, Øverland LH, Titlestad OH, Mumo J, Nzioka C, editors. National roll out of District Health Information Software (DHIS 2) in Kenya, 2011–Central server and Cloud based infrastructure. IST-Africa 2012 conference proceedings; 2012: IIMC International Information Management Corporation.
30. Gammersvik Ø. Balancing institutional needs with generic functionality in information systems: the biography and evolution of the DHIS 2 tracker following two implementations in Palestine 2015.
31. Khobi JA, Mtebe JS, Mbelwa JT. Factors influencing District Health Information System usage in Sierra Leone: A study using the Technology‐Organization‐Environment Framework. The Electronic Journal of Information Systems in Developing Countries. 2020;86(6):e12140.
32. Jolliffe B, Poppe O, Adaletey D, Braa J. Models for Online Computing in Developing Countries: Issues and Deliberations. Information Technology for Development. 2015;21(1):151-61.
33. Ministry of public Health (MOPH) Classical reporting system. Available from: https://www.moph.gov.lb/en/Pages/0/11352/classical-reporting-system.