RESUMO
Antibody kinetic curves obtained during a viral infection are often fitted using aggregated patient data, hiding the heterogeneity of individual humoral immune responses. Individual antibody responses can be modeled using the Wood equation and grouped according to their profile. Such modeling takes into account several important kinetic parameters, such as the day when antibody detection becomes positive [daypos], the day of the maximal response [daymax], the maximum antibody level [levelmax], and the day when antibody detection becomes negative [dayneg]. Potential associations between these profiles and studied factors can then be tested.
Assuntos
Infecções por Alphavirus/epidemiologia , Vírus Chikungunya/isolamento & purificação , Vírus da Dengue/isolamento & purificação , Dengue/epidemiologia , Surtos de Doenças , Vigilância de Evento Sentinela , Aedes/virologia , Infecções por Alphavirus/virologia , Animais , Febre de Chikungunya , Vírus Chikungunya/genética , Coinfecção/epidemiologia , Coinfecção/virologia , Dengue/virologia , Vírus da Dengue/genética , Ensaio de Imunoadsorção Enzimática , Febre/etiologia , Genoma Viral , Humanos , Reação em Cadeia da Polimerase em Tempo Real , Sorotipagem , Índias Ocidentais/epidemiologiaRESUMO
In 2003, in the Zinder and Maradi regions (Niger), epidemics were due to serogroup A:4:P1.9 meningococci belonging to sequence type 7 (ST-7). In Niamey, only sporadic cases were reported: 55% of the meningococcus strains were in serogroup A, and 38% were in serogroup W135 and could be placed in ST-11, identical to the 2002 Burkina Faso epidemic clone, and in ST-2881, a new ST.