| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Wang, Xin
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (21/21 displayed)
- 2024Interpenetrated and Bridged Nanocylinders from Self-Assembled Star Block Copolymerscitations
- 2024CEERS: 7.7 μm PAH Star Formation Rate Calibration with JWST MIRIcitations
- 2024From quinary Co–Cu–Mo–Pd–Re materials libraries to gas diffusion electrodes for Alkaline hydrogen evolutioncitations
- 2023Nanocellulose and PEDOT:PSS composites and their applicationscitations
- 2023Battery metals recycling by flash Joule heatingcitations
- 2023CEERS: 7.7 {mu}m PAH Star Formation Rate Calibration with JWST MIRI
- 2023CEERS: 7.7 ${mu}$m PAH Star Formation Rate Calibration with JWST MIRI
- 2022Nanocellulose and PEDOT:PSS composites and their applications
- 2022Durable, Lightweight, Washable and Comfortable Cooling Textiles from Nanodiamond/Polydopamine/Wool Nanocompositescitations
- 2022Analysis of Sensitivity of Distance between Embedded Ultrasonic Sensors and Signal Processing on Damage Detectability in Concrete Structurescitations
- 2021Modeling Optimal Laboratory Testing Strategies for Bacterial Meningitis Surveillance in Africa
- 2021The installation of embedded ultrasonic transducers inside a bridge to monitor temperature and load influence using coda wave interferometry techniquecitations
- 2020The Tajik Basin: A composite record of sedimentary basin evolution in response to tectonics in the Pamircitations
- 2019Anisotropic conductivity of Cellulose-PEDOT:PSS composite materials studied with a generic 3D four-point probe toolcitations
- 2019Unveiling the mechanisms of solid-state dewetting in Solid Oxide Cells with novel 2D electrodescitations
- 2018Processing ultrasonic data by coda wave interferometry to monitor load tests of concrete beams
- 2017Hybrid surface patterns mimicking the design of the adhesive toe pad of tree frog
- 2017Fast, wide‐field and distortion‐free telescope with curved detectors for surveys at ultralow surface brightnesscitations
- 2017Hybrid Surface Patterns Mimicking the Design of the Adhesive Toe Pad of Tree Frogcitations
- 2017Hybrid Surface Patterns Mimicking the Design of the Adhesive Toe Pad of Tree Frogcitations
- 2008Pulsed laser micromachining of yttria-stabilized zirconia dental ceramic for manufacturingcitations
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article
Modeling Optimal Laboratory Testing Strategies for Bacterial Meningitis Surveillance in Africa
Abstract
<jats:title>Abstract</jats:title><jats:p>Since 2010, the introduction of an effective serogroup A meningococcal conjugate vaccine has led to the near-elimination of invasive Neisseria meningitidis serogroup A disease in Africa’s meningitis belt. However, a significant burden of disease and epidemics due to other bacterial meningitis pathogens remain in the region. High-quality surveillance data with laboratory confirmation is important to monitor circulating bacterial meningitis pathogens and design appropriate interventions, but complete testing of all reported cases is often infeasible. Here, we use case-based surveillance data from 5 countries in the meningitis belt to determine how accurately estimates of the distribution of causative pathogens would represent the true distribution under different laboratory testing strategies. Detailed case-based surveillance data was collected by the MenAfriNet surveillance consortium in up to 3 seasons from participating districts in 5 countries. For each unique country-season pair, we simulated the accuracy of laboratory surveillance by repeatedly drawing subsets of tested cases and calculating the margin of error of the estimated proportion of cases caused by each pathogen (the greatest pathogen-specific absolute error in proportions between the subset and the full set of cases). Across the 12 country-season pairs analyzed, the 95% credible intervals around estimates of the proportion of cases caused by each pathogen had median widths of ±0.13, ±0.07, and ±0.05, respectively, when random samples of 25%, 50%, and 75% of cases were selected for testing. The level of geographic stratification in the sampling process did not meaningfully affect accuracy estimates. These findings can inform testing thresholds for laboratory surveillance programs in the meningitis belt.</jats:p>