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Anja De Weggheleire
Researcher at Institute of Tropical Medicine Antwerp
Publications - 29
Citations - 476
Anja De Weggheleire is an academic researcher from Institute of Tropical Medicine Antwerp. The author has contributed to research in topics: Hepatitis C & Ebola virus. The author has an hindex of 9, co-authored 29 publications receiving 372 citations.
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A Multidisciplinary Investigation of the First Chikungunya Virus Outbreak in Matadi in the Democratic Republic of the Congo.
Anja De Weggheleire,Antoine Nkuba-Ndaye,Antoine Nkuba-Ndaye,Placide Mbala-Kingebeni,Joachim Mariën,Esaie Kindombe-Luzolo,Gillon Ilombe,Donatien Mangala-Sonzi,Guillaume Binene-Mbuka,Birgit De Smet,Florian Vogt,Florian Vogt,Florian Vogt,Philippe Selhorst,Mathy Matungala-Pafubel,Frida Nkawa,Fabien Vulu,Mathias Mossoko,Elisabeth Pukuta-Simbu,Eddy Kinganda-Lusamaki,Wim Van Bortel,Francis Wat'senga-Tezzo,Sheila Makiala-Mandanda,Steve Ahuka-Mundeke +23 more
TL;DR: In this paper, the authors reported that healthcare seeking shifted quickly toward the informal sector and self-medication, resulting in polypharmacy and high out-of-pocket expenditure.
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Burden and outcome of HIV infection and other morbidities in health care workers attending an Occupational Health Program at the Provincial Hospital of Tete, Mozambique
Esther C. Casas,Tom Decroo,Jules Aimé Bonou Mahoudo,Jesus Maria Baltazar,Carla das Dores,Luisa Isabel Cumba,Anja De Weggheleire,Veerle Huyst,Emmanuel Bottieau +8 more
TL;DR: To investigate the burden and outcome of HIV infection and other morbidities amongst a Mozambican hospital staff, a large number of patients and staff with confirmed or suspected HIV infection are surveyed.
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Comparison of predictive models for hepatitis C co-infection among HIV patients in Cambodia.
TL;DR: In this dataset, logistic regression has the highest log-likelihood and smallest proportions of HCV co-infections missed but Spiegelhalter-Knill-Jones has the high area under the ROC curve.
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Symptom-Based Ebola Risk Score for Ebola Virus Disease, Conakry, Guinea.
TL;DR: It is argued that, by integrating rapid confirmatory testing in triage, providers can avoid classifying patients by their likelihood of infection with Ebola virus while waiting for laboratory confirmation, as well as the need to incorporate patient contact history into predictive models.