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1por Bailly, Sarah, Hozé, Nathanaël, Bisser, Sylvie, Zhu-Soubise, Aurélien, Fritzell, Camille, Fernandes-Pellerin, Sandrine, Mbouangoro, Adija, Rousset, Dominique, Djossou, Félix, Cauchemez, Simon, Flamand, Claude“…In the region around Cayenne, the main urban municipality, the high seroprevalence was explained by an outbreak that may have occurred between 1996 and 2003 and that infected 10% (95% CrI: 6.9%–14%) of the population and males and females alike. INTERPRETATION: This study reveals for the first time Q fever dynamics of transmission and the role of domestic livestock in transmission in French Guiana and highlights the urgent need to reinforce Q fever surveillance in livestocks of the entire Guianese territory. …”
Publicado 2022
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2por Sow, Abdourahmane, Nikolay, Birgit, Faye, Oumar, Cauchemez, Simon, Cano, Jorge, Diallo, Mawlouth, Faye, Ousmane, Sadio, Bakary, Ndiaye, Oumar, Weaver, Scott C., Dia, Anta T., Sall, Amadou Alpha, Malvy, Denis“…CHIKV seroprevalence was significantly higher in populations living close to forested areas (Normalized Difference Vegetation Index (NDVI), Odds Ratio (OR) = 1.90 (1.42–2.57)), and was negatively associated with population density (OR = 0.76 (0.69–0.84)). …”
Publicado 2020
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3por Truscott, James, Fraser, Christophe, Cauchemez, Simon, Meeyai, Aronrag, Hinsley, Wes, Donnelly, Christl A., Ghani, Azra, Ferguson, NeilEnlace del recurso
Publicado 2012
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4por Salje, Henrik, Cummings, Derek A. T., Rodriguez-Barraquer, Isabel, Katzelnick, Leah C., Lessler, Justin, Klungthong, Chonticha, Thaisomboonsuk, Butsaya, Nisalak, Ananda, Weg, Alden, Ellison, Damon, Macareo, Louis, Yoon, In-Kyu, Jarman, Richard, Thomas, Stephen, Rothman, Alan L., Endy, Timothy, Cauchemez, Simon“…Coupled with limited understanding of the dynamical behavior of potential serological markers of infection, this observational problem has wide-ranging implications, including hampering our understanding of individual- and population-level correlates of infection and disease risk and how they change over time, assay interpretation and cohort design. …”
Publicado 2018
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6por Salje, Henrik, Wesolowski, Amy, Brown, Tyler S., Kiang, Mathew V., Berry, Irina Maljkovic, Lefrancq, Noemie, Fernandez, Stefan, Jarman, Richard G., Ruchusatsawat, Kriangsak, Iamsirithaworn, Sopon, Vandepitte, Warunee P., Suntarattiwong, Piyarat, Read, Jonathan M., Klungthong, Chonticha, Thaisomboonsuk, Butsaya, Engø-Monsen, Kenth, Buckee, Caroline, Cauchemez, Simon, Cummings, Derek A. T.“…We find infected individuals spend 96% of their time in their home community compared to 76% for the susceptible population (mainly children) and 42% for adults. Dynamic pockets of local immunity make transmission more likely in places with high heterotypic immunity and less likely where high homotypic immunity exists. …”
Publicado 2021
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7“…We found that despite often relying on scarce rabies epidemiological data, mathematical models investigated multiple aspects of rabies dynamics and control. These models confirmed the overwhelming efficacy of massive dog vaccination campaigns in all settings and unraveled the role of dog population structure and frequent introductions in dog rabies maintenance. …”
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8por Nouvellet, Pierre, Donnelly, Christl A., De Nardi, Marco, Rhodes, Chris J., De Benedictis, Paola, Citterio, Carlo, Obber, Federica, Lorenzetto, Monica, Pozza, Manuela Dalla, Cauchemez, Simon, Cattoli, Giovanni“…Since 2006 the red fox (Vulpes vulpes) population in north-eastern Italy has experienced an epidemic of canine distemper virus (CDV). …”
Publicado 2013
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9por Hozé, Nathanaël, Paireau, Juliette, Lapidus, Nathanaël, Tran Kiem, Cécile, Salje, Henrik, Severi, Gianluca, Touvier, Mathilde, Zins, Marie, de Lamballerie, Xavier, Lévy-Bruhl, Daniel, Carrat, Fabrice, Cauchemez, Simon“…BACKGROUND: Regional monitoring of the proportion of the population who have been infected by SARS-CoV-2 is important to guide local management of the epidemic, but is difficult in the absence of regular nationwide serosurveys. …”
Publicado 2021
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10por Zhou, Jiaxin, Zhou, Yonghong, Luo, Kaiwei, Liao, Qiaohong, Zheng, Wen, Gong, Hui, Shi, Huilin, Zhao, Shanlu, Wang, Kai, Qiu, Qi, Dai, Bingbing, Ren, Lingshuang, Wang, Lili, Gao, Lidong, Xu, Meng, Liu, Nuolan, Lu, Wanying, Zheng, Nan, Chen, Xinhua, Chen, Zhiyuan, Yang, Juan, Cauchemez, Simon, Yu, Hongjie“…METHODS: Two population-based longitudinal cohorts in southern China were studied during 2013–2018. …”
Publicado 2022
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11por Moura, Alexandra, Lefrancq, Noémie, Wirth, Thierry, Leclercq, Alexandre, Borges, Vítor, Gilpin, Brent, Dallman, Timothy J., Frey, Joachim, Franz, Eelco, Nielsen, Eva M., Thomas, Juno, Pightling, Arthur, Howden, Benjamin P., Tarr, Cheryl L., Gerner-Smidt, Peter, Cauchemez, Simon, Salje, Henrik, Brisse, Sylvain, Lecuit, Marc“…This study provides an unprecedented insight into L. monocytogenes phylogeography and population dynamics and highlights the importance of genome analyses for a better control of pathogen transmission.…”
Publicado 2021
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12por Bourhy, Hervé, Nakouné, Emmanuel, Hall, Matthew, Nouvellet, Pierre, Lepelletier, Anthony, Talbi, Chiraz, Watier, Laurence, Holmes, Edward C., Cauchemez, Simon, Lemey, Philippe, Donnelly, Christl A., Rambaut, Andrew“…The development of novel approaches that combine epidemiological and genomic data provides new opportunities to reveal the spatiotemporal dynamics of infectious diseases and determine the processes responsible for their spread and maintenance. …”
Publicado 2016
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13por Legrand, Judith, Egan, Joseph R., Hall, Ian M., Cauchemez, Simon, Leach, Steve, Ferguson, Neil M.“…A back-calculation method is developed allowing the characterization of the release based on the data on the first few observed cases of the subsequent outbreak, meteorological data, population densities, and data on population travel patterns. …”
Publicado 2009
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14por Bosetti, Paolo, Huynh, Bich-Tram, Abdou, Armiya Youssouf, Sanchez, Marie, Eisenhauer, Catherine, Courtejoie, Noémie, Accardo, Jérôme, Salje, Henrik, Guillemot, Didier, Moslonka-Lefebvre, Mathieu, Boëlle, Pierre-Yves, Béraud, Guillaume, Cauchemez, Simon, Opatowski, Lulla“…AIM: We aimed to quantify how the French lockdown impacted population mixing, contact patterns and behaviours. …”
Publicado 2021
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15por Cousien, Anthony, Abel, Sylvie, Monthieux, Alice, Andronico, Alessio, Calmont, Isabelle, Cervantes, Minerva, Césaire, Raymond, Gallian, Pierre, de Lamballerie, Xavier, Laouénan, Cédric, Najioullah, Fatiha, Pierre-François, Sandrine, Pircher, Mathilde, Salje, Henrik, ten Bosch, Quirine A, Cabié, André, Cauchemez, Simon“…Overall, 50% (95% CrI: 43, 58) of the population was infected, with 22% (95% CrI: 5, 46) of infections acquired in households and 40% (95% CrI: 23, 56) being asymptomatic. …”
Publicado 2019
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16por Paireau, Juliette, Charpignon, Marie-Laure, Larrieu, Sophie, Calba, Clémentine, Hozé, Nathanaël, Boëlle, Pierre-Yves, Thiebaut, Rodolphe, Prague, Mélanie, Cauchemez, Simon“…BACKGROUND: Multiple factors shape the temporal dynamics of the COVID-19 pandemic. Quantifying their relative contributions is key to guide future control strategies. …”
Publicado 2023
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17por O’Reilly, Kathleen M., Lowe, Rachel, Edmunds, W. John, Mayaud, Philippe, Kucharski, Adam, Eggo, Rosalind M., Funk, Sebastian, Bhatia, Deepit, Khan, Kamran, Kraemer, Moritz U. G., Wilder-Smith, Annelies, Rodrigues, Laura C., Brasil, Patricia, Massad, Eduardo, Jaenisch, Thomas, Cauchemez, Simon, Brady, Oliver J., Yakob, Laith“…BACKGROUND: Zika virus (ZIKV) emerged in Latin America and the Caribbean (LAC) region in 2013, with serious implications for population health in the region. In 2016, the World Health Organization declared the ZIKV outbreak a Public Health Emergency of International Concern following a cluster of associated neurological disorders and neonatal malformations. …”
Publicado 2018
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18por Opatowski, Lulla, Fraser, Christophe, Griffin, Jamie, de Silva, Eric, Van Kerkhove, Maria D., Lyons, Emily J., Cauchemez, Simon, Ferguson, Neil M.“…Estimates of the reproduction numbers, R (0), empirically derived from the country-epidemics' early exponential phase, were positively associated with the proportion of children in the populations (p = 0.004). To explore the role of demography in explaining differences in transmission intensity, we then fitted a dynamic age-structured model of influenza transmission to available incidence data for each country independently, and for all the countries simultaneously. …”
Publicado 2011
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19por Cauchemez, Simon, Fraser, Christophe, Van Kerkhove, Maria D, Donnelly, Christl A, Riley, Steven, Rambaut, Andrew, Enouf, Vincent, van der Werf, Sylvie, Ferguson, Neil M“…We did independent analyses, looking at the growth in incident clusters, the growth in viral population, the reproduction number of cluster index cases, and cluster sizes to characterise the dynamical properties of the epidemic and the transmission scenario. …”
Publicado 2014
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