Natalie Cleton1, Chantal Reusken2, Jean-Luc Murk3, Menno de Jong4, Johan Reimerink5, Annemiek van der Eijk6, Marion Koopmans7. 1. National Institute for Public Health and the Environment, Centre for Infectious Disease Research, Diagnostics and Screening, A. van Leeuwenhoeklaan 9, P.O. Box 1, 3720 BA Bilthoven, The Netherlands; Erasmus Medical Centre, Virology Department, 's Gravendijkwal 230, P.O. Box 2040, 3000 EA Rotterdam, The Netherlands. Electronic address: natalie.cleton@rivm.nl. 2. National Institute for Public Health and the Environment, Centre for Infectious Disease Research, Diagnostics and Screening, A. van Leeuwenhoeklaan 9, P.O. Box 1, 3720 BA Bilthoven, The Netherlands. Electronic address: chantal.reusken@rivm.nl. 3. University Medical Centre Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands. Electronic address: j.murk@umcutrecht.nl. 4. Academic Medical Centre, Department of Medical Microbiology, Meibergdreef 9, P.O. Box 22660, 1100 DD Amsterdam, The Netherlands. Electronic address: m.d.dejong@amc.uva.nl. 5. National Institute for Public Health and the Environment, Centre for Infectious Disease Research, Diagnostics and Screening, A. van Leeuwenhoeklaan 9, P.O. Box 1, 3720 BA Bilthoven, The Netherlands. 6. Erasmus Medical Centre, Virology Department, 's Gravendijkwal 230, P.O. Box 2040, 3000 EA Rotterdam, The Netherlands. Electronic address: a.vandereijk@erasmusmc.nl. 7. National Institute for Public Health and the Environment, Centre for Infectious Disease Research, Diagnostics and Screening, A. van Leeuwenhoeklaan 9, P.O. Box 1, 3720 BA Bilthoven, The Netherlands; Erasmus Medical Centre, Virology Department, 's Gravendijkwal 230, P.O. Box 2040, 3000 EA Rotterdam, The Netherlands. Electronic address: marion.koopmans@rivm.nl.
Abstract
BACKGROUND: In a large part of the developing world, limited infectious disease surveillance is performed. In laboratory information management systems data on diagnostic requests is available and may be amenable to trend analyses. We explored this potential, using DENV diagnostic requests as a model. METHOD: Test results and anonymised information provided by clinicians were received for 8942 patients from diagnostic centres in the Netherlands from January 2000 to May 2011. The data were evaluated for completeness of a predefined minimal dataset and trends in DENV positive results by travel destination. Population travel data were obtained from a commercial registry, and dengue case notification data by country from WHO DengueNet. RESULTS: Vaccination history was rarely reported (0.4%); travel destination was completed for 42% of requests; trends in diagnostic requests and IgM positive tests for this subset correlated to the WHO DENV notifications for the three main travel destinations, with some discrepancies. Additionally, this approach may provide information on disease outbreaks with other pathogens causing diseases clinically similar to DENV. PCR data proved to be insufficient for trend monitoring by country. CONCLUSION: This approach is not straightforward, but shows potential for use as a source of additional information for surveillance of disease.
BACKGROUND: In a large part of the developing world, limited infectious disease surveillance is performed. In laboratory information management systems data on diagnostic requests is available and may be amenable to trend analyses. We explored this potential, using DENV diagnostic requests as a model. METHOD: Test results and anonymised information provided by clinicians were received for 8942 patients from diagnostic centres in the Netherlands from January 2000 to May 2011. The data were evaluated for completeness of a predefined minimal dataset and trends in DENV positive results by travel destination. Population travel data were obtained from a commercial registry, and dengue case notification data by country from WHO DengueNet. RESULTS: Vaccination history was rarely reported (0.4%); travel destination was completed for 42% of requests; trends in diagnostic requests and IgM positive tests for this subset correlated to the WHO DENV notifications for the three main travel destinations, with some discrepancies. Additionally, this approach may provide information on disease outbreaks with other pathogens causing diseases clinically similar to DENV. PCR data proved to be insufficient for trend monitoring by country. CONCLUSION: This approach is not straightforward, but shows potential for use as a source of additional information for surveillance of disease.
Authors: Natalie B Cleton; Chantal B E M Reusken; Jiri F P Wagenaar; Elske E van der Vaart; Johan Reimerink; Annemiek A van der Eijk; Marion P G Koopmans Journal: PLoS Negl Trop Dis Date: 2015-09-15
Authors: Jolanda J C Voermans; Suzan D Pas; Anne van der Linden; Corine GeurtsvanKessel; Marion Koopmans; Annemiek van der Eijk; Chantal B E M Reusken Journal: Emerg Infect Dis Date: 2019-07-17 Impact factor: 6.883
Authors: Giulietta Venturi; Stephan W Aberle; Tatjana Avšič-Županc; Luisa Barzon; Christoph Batejat; Elisa Burdino; Fabrizio Carletti; Rémi Charrel; Iva Christova; Jeff Connell; Victor Max Corman; Mary Emmanouil; Anne J Jääskeläinen; Ivan Kurolt; Yaniv Lustig; Miguel J Martinez; Marion Koopmans; Orsolya Nagy; Trung Nguyen; Anna Papa; Mercedes Pérez-Ruiz; Martin Pfeffer; Jelena Protic; Johan Reimerink; Giada Rossini; María Paz Sánchez-Seco Fariñas; Jonas Schmidt-Chanasit; Sandra Söderholm; Bertrand Sudre; Marjan Van Esbroeck; Chantal B Reusken Journal: Euro Surveill Date: 2020-04