Symptomatic Dengue Disease in Five Southeast Asian Countries: Epidemiological Evidence from a Dengue Vaccine Trial

Joshua Nealon, Anne-Frieda Taurel, Maria Rosario Capeding, Ngoc Huu Tran, Sri Rezeki Hadinegoro, Tawee Chotpitayasunondh, Chee Kheong Chong, T Anh Wartel, Sophie Beucher, Carina Frago, Annick Moureau, Mark Simmerman, Thelma Laot, Maïna L'Azou, Alain Bouckenooghe, Joshua Nealon, Anne-Frieda Taurel, Maria Rosario Capeding, Ngoc Huu Tran, Sri Rezeki Hadinegoro, Tawee Chotpitayasunondh, Chee Kheong Chong, T Anh Wartel, Sophie Beucher, Carina Frago, Annick Moureau, Mark Simmerman, Thelma Laot, Maïna L'Azou, Alain Bouckenooghe

Abstract

Dengue incidence has increased globally, but empirical burden estimates are scarce. Prospective methods are best-able to capture all severities of disease. CYD14 was an observer-blinded dengue vaccine study conducted in children 2-14 years of age in Indonesia, Malaysia, Thailand, the Philippines, and Vietnam. The control group received no vaccine and resembled a prospective, observational study. We calculated the rates of dengue according to different laboratory or clinical criteria to make inferences about dengue burden, and compared with rates reported in the passive surveillance systems to calculate expansion factors which describe under-reporting. Over 6,933 person-years of observation in the control group there were 319 virologically confirmed dengue cases, a crude attack rate of 4.6%/year. Of these, 92 cases (28.8%) were clinically diagnosed as dengue fever or dengue hemorrhagic fever by investigators and 227 were not, indicating that most symptomatic disease fails to satisfy existing case definitions. When examining different case definitions, there was an inverse relationship between clinical severity and observed incidence rates. CYD14's active surveillance system captured a greater proportion of symptomatic dengue than national passive surveillance systems, giving rise to expansion factors ranging from 0.5 to 31.7. This analysis showed substantial, unpredictable and variable under-reporting of symptomatic dengue, even within a controlled clinical trial environment, and emphasizes that burden estimates are highly sensitive to case definitions. These data will assist in generating disease burden estimates and have important policy implications when considering the introduction and health economics of dengue prevention and control interventions.

Conflict of interest statement

I have read the journal's policy and the authors of this manuscript have the following competing interests: JN, AFT, TAW, SB, CF, AM, MS, TL, ML and AB are employees of Sanofi Pasteur, a company engaged in the development of a dengue vaccine. MRC, NHT, SRH and TC have been clinical trial investigators for and received associated payments from Sanofi Pasteur. CCK has no competing interests to declare.

Figures

Fig 1. CYD14 study flow chart and…
Fig 1. CYD14 study flow chart and source of each case definition.
Control arm subjects were actively followed for 25 months to detect episodes of fever ≥38°C for ≥ 2 consecutive days. Febrile episodes were recorded and clinically diagnosed as dengue based on 1997 WHO guidelines, or an alternative etiology. Irrespective of clinical diagnosis, serum samples were taken for virological confirmation of dengue by detection of NS1 antigen by immunoassay and viral RNA by RT-PCR. A positive result for either laboratory test was considered confirmatory of dengue. Clinically diagnosed dengue (CDD): all episodes that were clinically diagnosed as dengue, irrespective of virological confirmation. VCD: all virologically confirmed dengue episodes, irrespective of clinical diagnosis. cVCD: all VCD episodes that were also clinically diagnosed as dengue. UF-VCD: all VCD episodes that were not clinically diagnosed as dengue.

References

    1. World Health Organization. Dengue: Guidelines for Diagnosis, Treatment, Prevention, and Control. Geneva: World Health Organization; 2009.
    1. Alexander N, Balmaseda A, Coelho ICB, Dimaano E, Hien TT, Hung NT, et al. Multicentre prospective study on dengue classification in four South-east Asian and three Latin American countries. Trop Med Int Health. 2011;16: 936–48. 10.1111/j.1365-3156.2011.02793.x
    1. World Health Organization. Global Strategy for Dengue Prevention and Control 2012–2020. Geneva: World Health Organization; 2012.
    1. Murray NEA, Quam MB, Wilder-Smith A. Epidemiology of dengue: past, present and future prospects. Clin Epidemiol. 2013;5: 299–309. 10.2147/CLEP.S34440
    1. Brady OJ, Gething PW, Bhatt S, Messina JP, Brownstein JS, Hoen AG, et al. Refining the global spatial limits of dengue virus transmission by evidence-based consensus. PLoS Negl Trop Dis. 2012;6: e1760 10.1371/journal.pntd.0001760
    1. Banu S, Hu W, Guo Y, Naish S, Tong S. Dynamic spatiotemporal trends of dengue transmission in the Asia-pacific region, 1955–2004. PLoS One. 2014;9: e89440 10.1371/journal.pone.0089440
    1. Gubler DJ. Dengue and dengue hemorrhagic fever. Clin Microbiol Rev. 1998;11: 480–96. Available:
    1. World Health Organization. Dengue and severe dengue. Fact sheet No. 117 [Internet]. World Health Organization; 2014.
    1. Bhatt S, Gething PW, Brady OJ, Messina JP, Farlow AW, Moyes CL, et al. The global distribution and burden of dengue. Nature. Nature Publishing Group; 2013;496: 504–7. 10.1038/nature12060
    1. Beatty ME, Stone A, Fitzsimons DW, Hanna JN, Lam SK, Vong S, et al. Best practices in dengue surveillance: a report from the Asia-Pacific and Americas Dengue Prevention Boards. PLoS Negl Trop Dis. 2010;4: e890 10.1371/journal.pntd.0000890
    1. Badurdeen S, Valladares DB, Farrar J, Gozzer E, Kroeger A, Kuswara N, et al. Sharing experiences: towards an evidence based model of dengue surveillance and outbreak response in Latin America and Asia. BMC Public Health. BMC Public Health; 2013;13: 607 10.1186/1471-2458-13-607
    1. Gibbons CL, Mangen M-JJ, Plass D, Havelaar AH, Brooke RJ, Kramarz P, et al. Measuring underreporting and under-ascertainment in infectious disease datasets: a comparison of methods. BMC Public Health. 2014;14: 147 10.1186/1471-2458-14-147
    1. Halstead SB. Pathogenesis of dengue: challenges to molecular biology. Science. 1988;239: 476–81. Available:
    1. Ferguson NM, Donnelly C a, Anderson RM. Transmission dynamics and epidemiology of dengue: insights from age-stratified sero-prevalence surveys. Philos Trans R Soc Lond B Biol Sci. 1999;354: 757–68. 10.1098/rstb.1999.0428
    1. Undurraga E a, Halasa Y a, Shepard DS. Use of expansion factors to estimate the burden of dengue in Southeast Asia: a systematic analysis. PLoS Negl Trop Dis. 2013;7: e2056 10.1371/journal.pntd.0002056
    1. Vong S, Goyet S, Ly S, Ngan C, Huy R, Duong V, et al. Under-recognition and reporting of dengue in Cambodia: a capture-recapture analysis of the National Dengue Surveillance System. Epidemiol Infect. 2012;140: 491–9. 10.1017/S0950268811001191
    1. Shepard DS, Halasa YA, Undurraga E a. Global Cost of Dengue in the Professional Healthcare System. Poster at ASTMH. 2014: # 203.
    1. Endy TP. Human immune responses to dengue virus infection: lessons learned from prospective cohort studies. Front Immunol. 2014;5: 183 10.3389/fimmu.2014.00183
    1. Toan NT, Rossi S, Prisco G, Nante N, Viviani S. Dengue epidemiology in selected endemic countries: factors influencing expansion factors as estimates of underreporting. Trop Med Int Health. 2015;00: n/a–n/a. 10.1111/tmi.12498
    1. Wichmann O, Yoon I-K, Vong S, Limkittikul K, Gibbons R V, Mammen MP, et al. Dengue in Thailand and Cambodia: an assessment of the degree of underrecognized disease burden based on reported cases. PLoS Negl Trop Dis. 2011;5: e996 10.1371/journal.pntd.0000996
    1. Edillo FE, Halasa Y a, Largo FM, Erasmo JN V, Amoin NB, Alera MTP, et al. Economic cost and burden of dengue in the Philippines. Am J Trop Med Hyg. 2015;92: 360–6. 10.4269/ajtmh.14-0139
    1. Shepard DS, Undurraga E a., Betancourt-Cravioto M, Guzmán MG, Halstead SB, Harris E, et al. Approaches to Refining Estimates of Global Burden and Economics of Dengue. Wills B, editor. PLoS Negl Trop Dis. 2014;8: e3306 10.1371/journal.pntd.0003306
    1. Capeding MR, Tran NH, Hadinegoro SRS, Ismail HIHM, Chotpitayasunondh T, Chua MN, et al. Clinical efficacy and safety of a novel tetravalent dengue vaccine in healthy children in Asia: a phase 3, randomised, observer-masked, placebo-controlled trial. Lancet. Elsevier Ltd; 2014;384: 1358–1365. 10.1016/S0140-6736(14)61060-6
    1. L’Azou M, Moureau A, Sarti E, Nealon J, Zambrano B, Wartel TA, et al. Symptomatic Dengue in Children in 10 Asian and Latin American Countries. N Engl J Med. 2016;374: 1155–1166. 10.1056/NEJMoa1503877
    1. Thailand National Bureau of Epidemiology. National Disease Surveillance Report [Internet]. [cited 10 Apr 2015]. Available:
    1. Jakarta Health Department. Disease Surveillance Portal [Internet]. [cited 1 May 2015]. Available:
    1. Ministry of Health Malaysia. Dengue Age Specific Incidence, 2011–2013. Pers Commun.
    1. Personal communication with study investigators; data provided by sub-national public health offices.
    1. Official Statistics Registration System. Demographic: Population per province and per age [Internet]. 2015 [cited 10 Apr 2015]. Available:
    1. Department of Statistics Malaysia. Population Quick Info: Department of Statistics Malaysia, Official portal [Internet]. 2015 [cited 10 Apr 2015]. Available:
    1. Philippines Statistics Authority. 2010 Census of Population and Housing [Internet]. 2012. Available:
    1. Central Population and Housing Census Steering Committee. The 2009 Vietnam Population and Housing Census: Completed Results. Hanoi; 2010.
    1. Kementerian PPN/Bappenas, Statistics Indonesia, UNFPA. Indonesia population projection [Internet]. Jakarta; 2013. Available:
    1. Dohoo IR, Martin SW, Stryhn H. Measure of disease frequency–Standardisation of risks and rates. Methods in Epidemiologic Research. 2012. pp. 90–92.
    1. Fay MP, Feuer EJ. Confidence intervals for directly standardized rates: a method based on the gamma distribution. Stat Med. 1997;16: 791–801. Available:
    1. Newcombe RG. Two-sided confidence intervals for the single proportion: comparison of seven methods. Stat Med. Wiley Subscription Services, Inc., A Wiley Company; 1998;17: 857–872. 10.1002/(SICI)1097-0258(19980430)17:8<857::AID-SIM777>;2-E
    1. Gutiérrez G, Gresh L, Pérez MÁ, Elizondo D, Avilés W, Kuan G, et al. Evaluation of the Diagnostic Utility of the Traditional and Revised WHO Dengue Case Definitions. PLoS Negl Trop Dis. 2013;7: e2385 10.1371/journal.pntd.0002385
    1. Capeding MR, Chua MN, Hadinegoro SR, Hussain IIHM, Nallusamy R, Pitisuttithum P, et al. Dengue and other common causes of acute febrile illness in Asia: an active surveillance study in children. PLoS Negl Trop Dis. 2013;7: e2331 10.1371/journal.pntd.0002331
    1. World Health Organization. Dengue haemorrhagic fever Diagnosis, treatment, prevention and control [Internet]. Second edi. Geneva, Switzerland; 1997. Available:
    1. Arima Y, Matsui T. Epidemiologic update of dengue in the Western Pacific Region, 2010. West Pacific Surveill Response J. 2011;2: 1–7.
    1. Fried JR, Gibbons R V, Kalayanarooj S, Thomas SJ, Srikiatkhachorn A, Yoon I-K, et al. Serotype-specific differences in the risk of dengue hemorrhagic fever: an analysis of data collected in Bangkok, Thailand from 1994 to 2006. PLoS Negl Trop Dis. 2010;4: e617 10.1371/journal.pntd.0000617
    1. Anderson KB, Gibbons R V, Cummings D a T, Nisalak A, Green S, Libraty DH, et al. A Shorter Time Interval Between First and Second Dengue Infections Is Associated With Protection From Clinical Illness in a School-based Cohort in Thailand. J Infect Dis. 2014;209: 360–8. 10.1093/infdis/jit436
    1. Gubler DJ. Dengue and Dengue Hemorrhagic Fever. Clin Microbiol Rev. 1998;11: 480
    1. Cash RA, Narasimhan V. Impediments to global surveillance of infectious diseases: consequences of open reporting in a global economy. Bull World Health Organ. 2000;78: 1358–67. Available:
    1. Sarti E, L’Azou M, Mercado M, Kuri P, Siqueira JB, Solis E, et al. A comparative study on active and passive epidemiological surveillance for dengue in five countries of Latin America. Int J Infect Dis. 2016;44: 44–9. 10.1016/j.ijid.2016.01.015
    1. Shepard DS, Undurraga E a, Halasa Y a. Economic and disease burden of dengue in Southeast Asia. PLoS Negl Trop Dis. 2013;7: e2055 10.1371/journal.pntd.0002055
    1. World Health Organization. Dengue and severe dengue, WHO Factsheet No 117 [Internet]. Geneva; 2015. Available:
    1. Duong V, Lambrechts L, Paul RE, Ly S, Lay RS, Long KC, et al. Asymptomatic humans transmit dengue virus to mosquitoes. Proc Natl Acad Sci U S A. 2015; 1–6. 10.1073/pnas.1508114112
    1. Hadinegoro SR, Arredondo-García JL, Capeding MR, Deseda C, Chotpitayasunondh T, Dietze R, et al. Efficacy and Long-Term Safety of a Dengue Vaccine in Regions of Endemic Disease. N Engl J Med. 2015; 1–12. 10.1056/NEJMoa1506223

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