Publications

  1. Dorratoltaj N, Nikin-Beers R, Ciupe S, Eubank SG, Abbas KM. Multi-scale Immunoepidemiological modeling of within-host and between-host HIV dynamics: Systematic review of mathematical models. PeerJ, 5:e3877, 2017. DOI: 10.7717/peerj.3877 (In press)

  2. GBD 2016 Mortality Collaborators. Global, regional, and national under-5 mortality, adult mortality, age-specific mortality, and life expectancy, 1970–2016: A systematic analysis for the Global Burden of Disease Study 2016. The Lancet, vol. 390, no. 10100, pp. 1084–1150, 2017. DOI: 10.1016/S0140-6736(17)31833-0; PMID: 28919115  http://www.thelancet.com/pdfs/journals/lancet/PIIS0140-6736(17)31833-0.pdf

  3. GBD 2016 Causes of Death Collaborators. Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: A systematic analysis for the Global Burden of Disease Study 2016. The Lancet, vol. 390, no. 10100, pp. 1151–1210, 2017. DOI: 10.1016/S0140-6736(17)32152-9; PMID: 28919116  http://www.thelancet.com/pdfs/journals/lancet/PIIS0140-6736(17)32152-9.pdf

  4. GBD 2016 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: A systematic analysis for the Global Burden of Disease Study 2016. The Lancet, vol. 390, no. 10100, pp. 1211–1259, 2017. DOI: 10.1016/S0140-6736(17)32154-2; PMID: 28919117  http://www.thelancet.com/pdfs/journals/lancet/PIIS0140-6736(17)32154-2.pdf

  5. GBD 2016 DALYs and HALE Collaborators. Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: A systematic analysis for the Global Burden of Disease Study 2016. The Lancet, vol. 390, no. 10100, pp. 1260–1344, 2017. DOI: 10.1016/S0140-6736(17)32130-X; PMID: 28919118  http://www.thelancet.com/pdfs/journals/lancet/PIIS0140-6736(17)32130-X.pdf

  6. GBD 2016 Risk Factors Collaborators. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2016: A systematic analysis for the Global Burden of Disease Study 2016. The Lancet, vol. 390, no. 10100, pp. 1345–1422, 2017. DOI: 10.1016/S0140-6736(17)32366-8; PMID: 28919119  http://www.thelancet.com/pdfs/journals/lancet/PIIS0140-6736(17)32366-8.pdf

  7. GBD 2016 SDG Collaborators. Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries: An analysis from the Global Burden of Disease Study 2016. The Lancet, vol. 390, no. 10100, pp. 1423–1459, 2017. DOI: 10.1016/S0140-6736(17)32336-X; PMID: 28916366  http://www.thelancet.com/pdfs/journals/lancet/PIIS0140-6736(17)32336-X.pdf

  8. GBD 2015 Eastern Mediterranean Region HIV/AIDS Collaborators & Mokdad AH. Trends in HIV/AIDS morbidity and mortality in Eastern Mediterranean countries, 1990–2015: Findings from the Global Burden of Disease 2015 study. International Journal of Public Health, 2017. DOI: 10.1007/s00038-017-1023-0; PMID: 28776249  https://link.springer.com/content/pdf/10.1007%2Fs00038-017-1023-0.pdf

  9. GBD 2015 Eastern Mediterranean Region LRI Collaborators & Mokdad AH. Burden of lower respiratory infections in the Eastern Mediterranean Region between 1990 and 2015: Findings from the Global Burden of Disease 2015 study. International Journal of Public Health, 2017. DOI: 10.1007/s00038-017-1007-0; PMID: 28776246  https://link.springer.com/content/pdf/10.1007%2Fs00038-017-1007-0.pdf

  10. Kang GJ, Ewing-Nelson SR, Mackey L, Schlitt JT, Marathe A, Abbas KM, Swarup S. Semantic network analysis of vaccine sentiment in online social media. Vaccine, vol. 35, no. 29, pp. 3621–3638, 2017. DOI: 10.1016/j.vaccine.2017.05.052; PMID: 28554500  https://sites.google.com/site/kajaabbas2/documents/paper/SemanticNetworkAnalysis_VaccineSentiment_SocialMedia.pdf?attredirects=0

  11. Dorratoltaj N, O’Dell ML, Bordwine P, Kerkering TM, Redican KJ, Abbas KM. Epidemiological effectiveness and cost of a fungal meningitis outbreak response in New River Valley: Local health department and clinical perspectivesDisaster Medicine and Public Health Preparedness, 2017. DOI: 10.1017/dmp.2017.32; PMID: 28578748  https://sites.google.com/site/kajaabbas2/documents/paper/Fungal_Meningitis_EconEval_LHD_Clinical.PDF?attredirects=0

  12. Dorratoltaj N, Marathe A, Lewis BL, Swarup S, Eubank SG, Abbas KM. Epidemiological and economic impact of pandemic influenza in Chicago: Priorities for vaccine interventions. PLOS Computational Biology, 13(6): e1005521, 2017. DOI: 10.1371/journal.pcbi.1005521; PMID: 28570660; PMCID: PMC5453424 https://sites.google.com/site/kajaabbas2/documents/paper/Epi_Econ_modeling_InfluenzaPandemic_VaccineIntervention.pdf?attredirects=0

  13. GBD 2015 Healthcare Access and Quality Collaborators (Barber RM et al). Healthcare Access and Quality Index based on mortality from causes amenable to personal health care in 195 countries and territories, 1990–2015: A novel analysis from the Global Burden of Disease Study 2015. The Lancet, vol. 390, no. 10091, pp. 231–266, 2017. DOI: 10.1016/S0140-6736(17)30818-8; PMID: 28528753  http://www.thelancet.com/pdfs/journals/lancet/PIIS0140-6736(17)30818-8.pdf

  14. Global Burden of Disease Health Financing Collaborator Network (Dieleman JL et al). Future and potential spending on health 2015–40: Development assistance for health, and government, prepaid private, and out-of-pocket health spending in 184 countries. The Lancet, vol. 389, no. 10083, pp. 2005-2030, 2017. DOI: 10.1016/S0140-6736(17)30873-5; PMID: 28433260  http://www.thelancet.com/pdfs/journals/lancet/PIIS0140-6736(17)30873-5.pdf

  15. Global Burden of Disease Health Financing Collaborator Network (Dieleman JL et al). Evolution and patterns of global health financing 1995–2014: Development assistance for health, and government, prepaid private, and out-of-pocket health spending in 184 countries. The Lancet, vol. 389, no. 10083, pp. 1981–2004, 2017. DOI: 10.1016/S0140-6736(17)30874-7; PMID: 28433256  http://www.thelancet.com/pdfs/journals/lancet/PIIS0140-6736(17)30874-7.pdf

  16. The Global Burden of Disease Child and Adolescent Health Collaboration (Kassebaum N et al). Child and adolescent health from 1990 to 2015: Findings from the Global Burden of Diseases, Injuries, and Risk factors 2015 study. JAMA Pediatrics, vol. 171, no. 6, pp. 573-592, 2017. DOI: 10.1001/jamapediatrics.2017.0250; PMID: 28384795  http://jamanetwork.com/journals/jamapediatrics/fullarticle/2613463

  17. Kang GJ, Culp RK, Abbas KM. Facilitators and barriers of parental attitudes and beliefs toward school-located influenza vaccination in the United States: Systematic review. Vaccine, vol. 35, no. 16, pp. 1987-1995, 2017. DOI: 10.1016/j.vaccine.2017.03.014; PMID: 28320592; PMCID: PMC5401629  https://sites.google.com/site/kajaabbas2/documents/paper/SLIV_paper.pdf?attredirects=0

  18. Adinarayanan S, Culp RK, Subramani R, Abbas KM, Radhakrishna S, Swaminathan S. Role of Bacille Calmette-Guérin in preventing tuberculous infection. International Journal of Tuberculosis and Lung Disease, vol. 21, no. 4, pp. 420-424, 2017. DOI: 10.5588/ijtld.16.0833; PMID: 28284257; PMCID: PMC5451115  https://sites.google.com/site/kajaabbas2/documents/paper/Role_of_bacille_Calmette_Guerin_in_preventing_tuberculous_infection.pdf?attredirects=0

  19. GBD 2015 Mortality and Causes of Death Collaborators (Wang H et al). Global, regional, and national life expectancy, all‐cause mortality, and cause-specific mortality for 249 causes of death, 1980‐2015: A systematic analysis for the Global Burden of Disease Study 2015. The Lancet, vol. 388, no. 10053, pp. 1459-1544, 2016. DOI: 10.1016/S0140-6736(16)31012-1; PMID: 27733281  http://www.thelancet.com/pdfs/journals/lancet/PIIS0140-6736(16)31012-1.pdf

  20. GBD 2015 Disease and Injury Incidence and Prevalence Collaborators (Vos T et al). Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: A systematic analysis for the Global Burden of Disease Study 2015. The Lancet, vol. 388, no. 10053, pp. 1545-1602, 2016. DOI: 10.1016/S0140-6736(16)31678-6; PMID: 27733282  http://www.thelancet.com/pdfs/journals/lancet/PIIS0140-6736(16)31678-6.pdf

  21. GBD 2015 DALYs and HALE Collaborators (Kassebaum NJ et al). Global, regional and national disability-adjusted life-years (DALYs) for 315 diseases and injuries and healthy life expectancy (HALE), 1990-2015: A systematic analysis for the Global Burden of Disease Study 2015. The Lancet, vol. 388, no. 10053, pp. 1603-1658, 2016. DOI: 10.1016/S0140-6736(16)31460-X; PMID: 27733283  http://www.thelancet.com/pdfs/journals/lancet/PIIS0140-6736(16)31460-X.pdf

  22. GBD 2015 Risk Factors Collaborators (Forouzanfar MH et al). Global, regional and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: A systematic analysis for the Global Burden of Disease Study 2015. The Lancet, vol. 388, no. 10053, pp. 1659-1724, 2016. DOI: 10.1016/S0140-6736(16)31679-8; PMID: 27733284  http://www.thelancet.com/pdfs/journals/lancet/PIIS0140-6736(16)31679-8.pdf

  23. GBD 2015 Child Mortality Collaborators (Wang H et al). Global, regional, national and selected subnational levels of stillbirths, neonatal, infant, and under‐5 mortality, 1980‐2015: A systematic analysis for the Global Burden of Disease Study 2015. The Lancet, vol. 388, no. 10053, pp. 1725-1774, 2016. DOI: 10.1016/S0140-6736(16)31575-6; PMID: 27733285  http://www.thelancet.com/pdfs/journals/lancet/PIIS0140-6736(16)31575-6.pdf

  24. GBD 2015 Maternal Mortality Collaborators (Kassebaum NJ et al). Global, regional, and national levels of maternal mortality, 1990–2015: A systematic analysis for the Global Burden of Disease Study 2015. The Lancet, vol. 388, no. 10053, pp. 1775-1812, 2016. DOI: 10.1016/S0140-6736(16)31470-2; PMID: 27733286  http://www.thelancet.com/pdfs/journals/lancet/PIIS0140-6736(16)31470-2.pdf

  25. GBD 2015 SDG Collaborators (Lim SS et al). Measuring the healthrelated Sustainable Development Goals in 188 countries: A baseline analysis from the Global Burden of Disease Study 2015. The Lancet, vol. 388, no. 10053, pp. 1813-1850, 2016. DOI: 10.1016/S0140-6736(16)31467-2; PMID: 27665228  http://www.thelancet.com/pdfs/journals/lancet/PIIS0140-6736(16)31467-2.pdf

  26. GBD 2015 HIV Collaborators (Wang H et al)Estimates of global, regional, and national incidence, prevalence, and mortality of HIV, 1980–2015: The Global Burden of Disease Study 2015The Lancet HIV, 2016. DOI: 10.1016/S2352-3018(16)30087-X; PMID: 27470028  https://docs.google.com/viewer?a=v&pid=sites&srcid=ZGVmYXVsdGRvbWFpbnxrYWphYWJiYXMyfGd4OjRjZGY1NWYwYTFiNjcyYzE

  27. Abbas KM, Dorratoltaj N, O’Dell ML, Bordwine P, Kerkering TM, Redican KJ. Clinical response, outbreak investigation, and epidemiology of the fungal meningitis epidemic in the United States: Systematic reviewDisaster Medicine and Public Health Preparedness, vol. 10, no. 1, pp. 145-151, 2016. DOI: 10.1017/dmp.2015.137; PMID: 26681583; PMCID: PMC4795899  https://sites.google.com/site/kajaabbas2/documents/paper/ClinicalResponse_OutbreakInvestigation_Epidemiology_FungalMeningitisEpidemic_UnitedStates_SystematicReview.pdf?attredirects=0

  28. Abbas KM, Dorratoltaj N, O’Dell ML, Bordwine P, Kerkering TM, Redican KJ. Economic evaluation of a fungal meningitis outbreak response in New River Valley: Local health department perspectiveFrontiers in Public Health Services and Systems Research, vol. 4, no. 4, 2015. DOI: 10.13023/FPHSSR.0404.04; PMID: 26317059; PMCID: PMC4548891  https://sites.google.com/site/kajaabbas2/documents/paper/Economic_Evaluation_of_Fungal_Meningitis_Outbreak_in_New_River_Valley-Local_Health_Department_Perspective.pdf?attredirects=0

  29. Redican KJ, Abbas KM, Elvinger F, Hosig K, Marmagas SW, Chitsulo P, Kelly P, Burton J, Tlou J, Carter-Tod S. Making a difference in Malawi and Zambia through health education and public health best practicesGlobal Journal of Health Education and Promotion, vol. 16, no. 2, pp. 18–32, 2015. DOI: 10.18666/GJHEP-2015-V16-I2-5964PMID: 28642886; PMCID: PMC5477981  https://sites.google.com/site/kajaabbas2/documents/paper/Making_a_Difference_in_Malawi_and_Zambia_Through_Health_Education_and_Public_Health_Best_Practices.pdf?attredirects=0

  30. Abbas KM. Editorial Comment: Cost-effectiveness analysis for prioritization of limited public health resources - Tuberculosis interventions in Texas. Frontiers in Public Health Services and Systems Research, vol. 3, no. 2, 2014. DOI: 10.13023/FPHSSR.0302.04; PMID: 28616370; PMCID: PMC5467536  https://sites.google.com/site/kajaabbas/documents/paper/Editorial_Comment-Cost-Effectiveness_Analysis_for_Prioritization_of_Limited_Public_Health_Resources-Tuberculosis_Interventions_in_Texas.pdf?attredirects=0

  31. Swanson RC, Cattaneo A, Bradley E, Chunharas S, Atun R, Abbas KMKatsaliaki K, Mustafee N, Meier BM, Best A. Rethinking health systems strengthening: Key systems thinking tools and strategies for transformational change. Health Policy and Planning, vol. 27 (suppl 4), pp. iv54-iv61, 2012. DOI: 10.1093/heapol/czs090PMID: 23014154; PMCID: PMC3529625  https://sites.google.com/site/kajaabbas/documents/paper/rethinking_health_systems_strengthening_key_systems_thinking_tools_and_strategies_for_transformational_change.pdf?attredirects=0

  32. Prasanna VI, Mikler AR, Dantu R, Abbas KM. Dynamic resource management in QoS controlled networks. Telecommunication Systems, vol. 32, no. 1, pp. 11-30, May 2006. DOI: 10.1007/s11235-006-8200-4  https://sites.google.com/site/kajaabbas/documents/paper/dynamic_resource_management_in_qos_controlled_networks.pdf?attredirects=0

  33. Mikler AR, Venkatachalam S, Abbas KM. Modeling infectious diseases using global stochastic cellular automata. Journal of Biological Systems, vol. 13, no. 4, pp. 421-439, December 2005. DOI: 10.1142/S0218339005001604  https://sites.google.com/site/kajaabbas/documents/paper/modeling_infectious_diseases_using_global_stochastic_cellular_automata.pdf?attredirects=0

Conference Proceedings (Peer-reviewed research papers)
  1. Kang GJ, Gunaseelan L, Abbas KM. Epidemiological modeling of bovine brucellosis in India. Proceedings of the 2014 IEEE International Conference on Big Data, IEEE BigData 2014, pp. 6-10, Washington, DC, October, 2014. DOI: 10.1109/BigData.2014.7004420; PMID: 26280026PMCID: PMC4537291  https://sites.google.com/site/kajaabbas/documents/paper/Epidemiological_Modeling_of_Bovine_Brucellosis_in_India.pdf?attredirects=0

  2. Lopez D, Gunasekaran M, Kaur H, Murugan B, Abbas KM. Spatial big data analytics of influenza epidemic in Vellore, India. Proceedings of the 2014 IEEE International Conference on Big Data, IEEE BigData 2014, pp. 19-24, Washington, DC, October, 2014. DOI: 10.1109/BigData.2014.7004422; PMID: 26203465; PMCID: PMC4508194  https://sites.google.com/site/kajaabbas/documents/paper/Spatial_Big_Data_Analytics_of_Influenza_Epidemic_in_Vellore_India.pdf?attredirects=0

  3. Redican KJ, Kelly P, Abbas KM, Elvinger F, Gates M, Hosig K, Marmagas SW, Carter-Tod S. Malawi, Zambia, and the United States: Creating synergy and public health capacity building to address health and social problems. Proceedings of the 2nd International Scientific Conference on Economic and Social Development, pp. 735-744, Paris, France, April, 2013. https://sites.google.com/site/kajaabbas/documents/paper/Malawi_Zambia_and_the_United_States_Creating_Synergy_and_Public_Health_Capacity_Building_to_Address_Health_and_Social_Problems.pdf?attredirects=0

  4. Abbas KM,  Mikler, AR, and Gatti R. Temporal analysis of infectious diseases: Influenza. Conference Proceedings of the ACM Symposium on Applied Computing, Sante Fe, NM, March, 2005. DOI: 10.1145/1066677.1066740  https://sites.google.com/site/kajaabbas/documents/paper/temporal_analysis_of_infectious_diseases_influenza.pdf?attredirects=0

  5. Abbas KM Mikler AR, Ramezani A, Menezes S. Computational epidemiology: Bayesian disease surveillance. Advances in Bioinformatics and its Applications – Proceedings of the International Conference on Bioinformatics and its Applications, ICBA'04, pp. 95-106, Fort Lauderdale FL, December 2004. DOI: 10.1142/9789812702098_0009  https://sites.google.com/site/kajaabbas/documents/paper/computational_epidemiology_bayesian_disease_surveillance.pdf?attredirects=0

  6. Dantu R, Abbas KM, O'Neill M, Mikler AR. Data centric modeling of environmental sensor networks. Proceedings of the IEEE International Conference on Communications, GLOBECOM'04, pp. 447-452, Dallas, TX, December, 2004. DOI: 10.1109/GLOCOMW.2004.1417621  https://sites.google.com/site/kajaabbas/documents/paper/data_centric_modeling_of_sensor_networks.pdf?attredirects=0

  7. Abbas KMMikler AR. Inductive model for sensor power optimization in wireless sensor networks. Proceedings of the WSEAS International Conference on Computer Networks, ICCON'02, Rio de Janeiro, Brazil, October, 2002. https://sites.google.com/site/kajaabbas/documents/paper/inductive_model_for_sensor_power_optimization_in_wireless_sensor_networks.pdf?attredirects=0

  8. Mikler AR, Abbas KMAnalysis of knowledge acquisition models for intelligent agents. Proceedings of the High Performance Computing Symposium, HPC '99, pp. 313-318, San Diego, CA, April, 1999. https://sites.google.com/site/kajaabbas2/documents/paper/Analysis_of_Knowledge_Acquisition_Models_for_Intelligent_Agents.pdf?attredirects=0

Book Chapters
  1. Manogaran G, Lopez D, Thota C, Abbas KM, Pyne S, Sundarsekar R. Big data analytics in healthcare Internet of Things. In Innovative health systems for the 21st century; Qudrat-Ullah H, Tsasis P (Eds.), Ch. 10, pp. 263-284, Springer, 2017. DOI: 10.1007/978-3-319-55774-8_10  https://sites.google.com/site/kajaabbas2/documents/paper/Big_Data_Analytics_in_Healthcare_Internet_of_Things.pdf?attredirects=0

  2. Manogaran G, Thota C, Lopez D, Vijayakumar V, Abbas KM, Sundarsekar R. Big data knowledge system in healthcare. In Internet of things and big data technologies for next generation healthcare; Bhatt C, Dey N, Ashour A (Eds.), Ch. 7, pp. 133-157, Springer, 2017. DOI: 10.1007/978-3-319-49736-5_7  https://sites.google.com/site/kajaabbas2/documents/paper/Big_Data_Knowledge_System_in_Healthcare.pdf?attredirects=0

Journal Abstracts
  1. Abbas KM, Dorratoltaj N, Marathe A, Swarup S, Lewis B, Eubank S. Economic evaluation of influenza vaccine intervention. International Journal of Infectious Diseases. 2016 Apr; 45 (suppl. 1): 159. DOI: 10.1016/j.ijid.2016.02.381  https://sites.google.com/site/kajaabbas2/documents/abstract/Economic_Evaluation_of_Influenza_Vaccine_Intervention.pdf?attredirects=0

  2. Kang G, Gunaseelan L, Abbas KM. Epidemiological dynamics of bovine brucellosis in India. Annals of Global Health. 2015 Jan 1;81(1):127–8. DOI: 10.1016/j.aogh.2015.02.793  https://sites.google.com/site/kajaabbas/documents/abstract/Epidemiological_dynamics_of_bovine_brucellosis_in_India.pdf?attredirects=0

  3. Watson C, Kang G, Redican K, Abbas KM. Epidemiological transitions in maternal and child health in Peru: 1990–2013. The Lancet Global Health. 2015 Mar;3:S25. DOI: 10.1016/S2214-109X(15)70144-0  https://sites.google.com/site/kajaabbas2/documents/abstract/Epidemiological_transitions_in_maternal_and_child_health_in_Peru_1990–2013.pdf?attredirects=0

  4. Kang G, Culp R, Marathe A, Abbas KM. Parental factors associated with influenza school located vaccination program in the United States. Annals of Global Health. 2015 Jan 1;81(1):6–7. DOI: 10.1016/j.aogh.2015.02.528  https://sites.google.com/site/kajaabbas/documents/abstract/Parental_factors_associated_with_influenza_school_located_vaccination_program_in_the_United_States.pdf?attredirects=0

  5. Abbas KM, Buettner P, Heller R, Strobl J. Peoples-uni - Online public health capacity building for developing countries. Annals of Global Health. 2015 Jan 1;81(1):137. DOI: 10.1016/j.aogh.2015.02.814  https://sites.google.com/site/kajaabbas/documents/abstract/Peoples-uni_Online_Public_Health_Capacity_Building_for_Developing_Countries.pdf?attredirects=0