scholarly journals Model-based assessment of Chikungunya and O’nyong-nyong virus circulation in Mali in a serological cross-reactivity context

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Nathanaël Hozé ◽  
Issa Diarra ◽  
Abdoul Karim Sangaré ◽  
Boris Pastorino ◽  
Laura Pezzi ◽  
...  

AbstractSerological surveys are essential to quantify immunity in a population but serological cross-reactivity often impairs estimates of the seroprevalence. Here, we show that modeling helps addressing this key challenge by considering the important cross-reactivity between Chikungunya (CHIKV) and O’nyong-nyong virus (ONNV) as a case study. We develop a statistical model to assess the epidemiology of these viruses in Mali. We additionally calibrate the model with paired virus neutralization titers in the French West Indies, a region with known CHIKV circulation but no ONNV. In Mali, the model estimate of ONNV and CHIKV prevalence is 30% and 13%, respectively, versus 27% and 2% in non-adjusted estimates. While a CHIKV infection induces an ONNV response in 80% of cases, an ONNV infection leads to a cross-reactive CHIKV response in only 22% of cases. Our study shows the importance of conducting serological assays on multiple cross-reactive pathogens to estimate levels of virus circulation.

BMC Genomics ◽  
2009 ◽  
Vol 10 (1) ◽  
pp. 494 ◽  
Author(s):  
Sébastien Marcombe ◽  
Rodolphe Poupardin ◽  
Frederic Darriet ◽  
Stéphane Reynaud ◽  
Julien Bonnet ◽  
...  

2005 ◽  
pp. 145-152 ◽  
Author(s):  
E. Wicker ◽  
L. Grassart ◽  
R. Coranson-Beaudu ◽  
D. Mian ◽  
C. Guilbaud ◽  
...  

2014 ◽  
Vol 39 ◽  
pp. 1-11 ◽  
Author(s):  
V. Colomb ◽  
M. Martel ◽  
L. Bockel ◽  
S. Martin ◽  
J.-L. Chotte ◽  
...  

2019 ◽  
Vol 668 ◽  
pp. 161-170 ◽  
Author(s):  
Claire Collas ◽  
Maurice Mahieu ◽  
Alexandre Tricheur ◽  
Nadia Crini ◽  
Pierre-Marie Badot ◽  
...  

Costume ◽  
2018 ◽  
Vol 52 (2) ◽  
pp. 217-239 ◽  
Author(s):  
Jane Ashelford

When Jane Austen wrote in January 1801 that ‘Mrs Powlett was at once expensively and nakedly dressed’, the fashion for muslin dresses had existed for some eighteen years. This article examines the crucial period between 1779 and 1784 when the muslin garment, which became known as the chemise à la reine, was developed and refined. Originating in the French West Indies, the gaulle was the ‘colonial livery’ worn by the wives of the white elite, the ‘grands blancs’, and first appeared as a costume in a ballet performed in Paris in 1779. The version worn by Queen Marie Antoinette in Vigée Le Brun's controversial portrait of 1783 provoked, according to the Baron de Frénilly, ‘a revolution in dress’ which eventually destabilized society. The article focuses on the role played by Saint-Domingue, France's most valuable overseas possession, in the transference of the gaulle from colonial to metropolitan fashion, and how the colony became one of the major providers of unprocessed cotton to the French cotton industry.


Modelling ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 78-104
Author(s):  
Vasili B. V. Nagarjuna ◽  
R. Vishnu Vardhan ◽  
Christophe Chesneau

Every day, new data must be analysed as well as possible in all areas of applied science, which requires the development of attractive statistical models, that is to say adapted to the context, easy to use and efficient. In this article, we innovate in this direction by proposing a new statistical model based on the functionalities of the sinusoidal transformation and power Lomax distribution. We thus introduce a new three-parameter survival distribution called sine power Lomax distribution. In a first approach, we present it theoretically and provide some of its significant properties. Then the practicality, utility and flexibility of the sine power Lomax model are demonstrated through a comprehensive simulation study, and the analysis of nine real datasets mainly from medicine and engineering. Based on relevant goodness of fit criteria, it is shown that the sine power Lomax model has a better fit to some of the existing Lomax-like distributions.


Sign in / Sign up

Export Citation Format

Share Document