Sektion Klinische Tropenmedizin

International Research Consortium on Dengue Risk Assessment, Management and Surveillance (IDAMS)


Funding agency: European Union 7th Framework Programme

Time frame: September 2011 – August 2016

T. Jänisch, T. Junghanss, J. Kaur, R. Gaczkowski, K. Rosenberger

Collaborating partners:

  • Department of Zoology, University of Oxford, Oxford, UK
  • Oxford University Clinical Research Unit, Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam
  • Liverpool School of Tropical Medicine (LSTM), UK
  • Institute for Research in Biomedicine, Bellinzona, Switzerland
  • TDR/WHO, Special Program for Research and Training of the World Health Organization, Switzerland
  • Department of Pediatrics, University of Malaya Medical Center, Kuala Lumpur, Malaysia
  • Department of Pediatrics, University Gadja Mada, Yogyakarta, Indonesia
  • Friends Without a Border – Angkor Hospital for Children, Siem Reap, Cambodia
  • Pedro Kouri Institute of Tropical Medicine, Havana, Cuba
  • Ministry of Health and Social Welfare – Hospital National de Ninos Benjamin Bloom, San Salvador, El Salvador
  • Ceara State University, Fortaleza, Brazil
  • Environmental Research Group Oxford Limited, Oxford, UK
  • INDEPTH Network, Accra, Ghana
  • Red Cross / Red Crescent Climate Centre, Den Haag, The Netherlands

Dengue is an emerging disease of major global significance and represents an enormous burden for health care systems in endemic countries. Differentiating dengue from other common febrile illnesses before complications develop is difficult - simple and inexpensive strategies are urgently needed to support early and accurate diagnosis, as well as to identify patients at high risk of developing complications, in order both to improve case management and to facilitate appropriate use of limited resources. Evaluation of early clinical features alongside readily available laboratory tests in a large cohort of patients encompassing the breadth of dengue disease encountered in endemic settings is necessary to develop a robust case definiton for dengue, and could also prove to be very useful for the development of prognostic algorithms. Similarly, characterisation of the profiles of important viral and serological biomarkers in such a cohort is likely to provide valuable information that could contribute additional input into diagnostic and prognostic algorithms. Improved strategies for early diagnosis and risk prediction would also enhance the conduct of clinical trials of early therapeutic interventions for dengue e.g. use of anti-viral or immuno-modulatory drugs. If the fight to gain control of the current global pandemic is to be successful, however, it is equally important to consider interventions and strategies at the population level. Early detection of outbreaks with improved surveillance systems and a prompt effective response to imminent outbreaks, could prove highly significant in reducing the numbers of dengue cases globally. In combination with identification of areas likely to be at risk of dengue outbreaks, as defined by risk mapping, such strategies could bring great health benefits by preventing outbreaks and reducing numbers of cases, with consequent reductions in overall morbidity and mortality from dengue.

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