RESUMO
Dengue fever (DENF), chikungunya (CHIK), and Zika are responsible for the majority of the burden caused by vector-borne diseases (VBDs); which are produced by viruses primarily transmitted by the Aedes mosquito. Aedes have become prolific in urban areas due to a combination of climate change, rapid urbanization, increased human mobility, and globalization, causing the three VBDs to emerge in novel regions. Community knowledge can provide detailed insights about the spatial heterogeneity of disease risk and rates within a particular region, improving public health interventions. Knowledge, Attitude, and Practice (KAP) surveys are used to shed light on at-risk communities' understanding of the vector, the pathogen, prevention and treatment strategies. Little is known how KAP varies among diseases, and among neighborhoods within a city. Understanding KAP variation among co-circulating VBDs at a fine-level, especially differences between endemic and emerging diseases, can improve targeted interventions, education programs, and health policy. We administered KAP surveys to 327 individuals in healthcare centers and selected neighborhoods in Cali, Colombia in June 2019. We utilized generalized linear models (GLMs) to identify significant predictors of KAP. Our findings suggest that knowledge is related to community characteristics (e.g. strata), while attitudes and practices are more related to individual-level factors. Access to healthcare also forms significant predictor of residents participating in preventative practices. The results can be leveraged to inform public health officials and communities to motivate at-risk neighborhoods to take an active role in vector surveillance and control, while improving educational and surveillance resources in Cali, Colombia.
Assuntos
Febre de Chikungunya/epidemiologia , Dengue/epidemiologia , Conhecimentos, Atitudes e Prática em Saúde , Saúde Pública , População Urbana , Infecção por Zika virus/epidemiologia , Adulto , Idoso , Animais , Febre de Chikungunya/prevenção & controle , Febre de Chikungunya/transmissão , Colômbia/epidemiologia , Dengue/prevenção & controle , Dengue/transmissão , Feminino , Acessibilidade aos Serviços de Saúde , Humanos , Disseminação de Informação , Masculino , Pessoa de Meia-Idade , Mosquitos Vetores/virologia , Inquéritos e Questionários , População Urbana/estatística & dados numéricos , Infecção por Zika virus/prevenção & controle , Infecção por Zika virus/transmissãoRESUMO
Vector-borne diseases (VBDs) infect over one billion people and are responsible for over one million deaths each year, globally. Chikungunya (CHIK) and Dengue Fever (DENF) are emerging VBDs due to overpopulation, increases in urbanization, climate change, and other factors. Colombia has recently experienced severe outbreaks of CHIK AND DENF. Both viruses are transmitted by the Aedes mosquitoes and are preventable with a variety of surveillance and vector control measures (e.g. insecticides, reduction of open containers, etc.). Spatiotemporal statistics can facilitate the surveillance of VBD outbreaks by informing public health officials where to allocate resources to mitigate future outbreaks. We utilize the univariate Kulldorff space-time scan statistic (STSS) to identify and compare statistically significant space-time clusters of CHIK and DENF in Colombia during the outbreaks of 2015 and 2016. We also utilize the multivariate STSS to examine co-occurrences (simultaneous excess incidences) of DENF and CHIK, which is critical to identify regions that may have experienced the greatest burden of VBDs. The relative risk of CHIK and DENF for each Colombian municipality belonging to a univariate and multivariate cluster is reported to facilitate targeted interventions. Finally, we visualize the results in a three-dimensional environment to examine the size and duration of the clusters. Our approach is the first of its kind to examine multiple VBDs in Colombia simultaneously, while the 3D visualizations are a novel way of illustrating the dynamics of space-time clusters of disease.
Assuntos
Febre de Chikungunya/epidemiologia , Dengue/epidemiologia , Surtos de Doenças , Cidades/epidemiologia , Colômbia/epidemiologia , Monitoramento Epidemiológico , Humanos , Incidência , Conglomerados Espaço-Temporais , Análise Espaço-TemporalRESUMO
Echovirus 30 (EV30) is one of the most frequently isolated EVs, causing extensive outbreaks of EV30 aseptic meningitis in temperate climates. EV30 is antigenically heterogeneous, and three major antigenic groups have been defined, although the basis for the antigenic differences is unknown. A reverse transcription-nested PCR which amplifies the 3'-terminal region of the VP1 gene directly from clinical samples was selected for studying EV30 molecular epidemiology, since the major antigenic sites in this region reflect the serotypic pattern of this virus. The different previous approaches to the genetic classification of EV30 were analyzed. A complete study of the EV30 strains was performed by analyzing the sequences from the 112 EV30 strains amplified in this work and the complete set of EV30 strains previously published. A total of 318 strains of EV30 were divided into two broad genotypes (I and II). This classification was supported by the phylogenetic trees obtained from amino acid sequences, and it correlated with the antigenic heterogeneity of the reference strains described in earlier studies. The genotypes could be further divided into subgroups, and these subgroups could be divided into lineages based on their nucleotide distances and levels of bootstrapping. On the other hand, the subgroups and lineages did not result in the same correlation between amino acid and nucleotide differentiation. The molecular epidemiology of EV30 can be compared to influenza virus epidemiology, where prevailing lineages displace the less established lineages on the basis of immune escape. This pattern of evolution is clearly different from that of other enteroviruses. A single lineage at a time appears to be circulating worldwide. This behavior may be related to the epidemic activity of EV30.
Assuntos
Enterovirus Humano B/genética , Infecções por Enterovirus/epidemiologia , Argentina/epidemiologia , Capsídeo/genética , Proteínas do Capsídeo , Enterovirus Humano B/classificação , Humanos , Epidemiologia Molecular , Dados de Sequência Molecular , Filogenia , Espanha/epidemiologiaRESUMO
VP1 is the most suitable region for use in the identification of enterovirus. Although VP1 sequencing methods may vary, it is necessary to agree on a common strategy of sequence analysis. Identification of a strain type may be achieved by three different approaches: pairwise sequence alignment, multiple-sequence alignment, and phylogenetic inference. Other methods are also available, but they are not simple enough to be performed at a virology laboratory. The performances of these methods were evaluated with nucleotide and protein sequences obtained from 32 original samples, 8 enterovirus isolates, and 64 GenBank sequences. Pairwise sequence alignment methods had very different results. The DNASTAR package identified only 28.8% of enterovirus strains, while the Genetics Computer Group package identified 50.0 or 72.1% of enterovirus strains when nucleotide or amino acid sequences were analyzed, respectively. Multiple-sequence alignment methods identified 94.2% (Clustal W program) or 92.3% (Pileup program) of the enterovirus strains, while the phylogenetic method increased this rate to 99.0%. Comparative evaluation of these analysis methods showed that the Clustal W program (version 1.81), a freely available multiple-sequence alignment program, presented one of the best performances when used with the correct criteria. Other commercial and expensive programs did not achieve the same performances, making them less suitable for molecular typing of enteroviruses. Finally, although phylogenetic inference is the most demanding method in terms of knowledge of the user, it remained the best option analyzed.
Assuntos
Capsídeo/genética , Enterovirus/classificação , Genoma Viral , Filogenia , Alinhamento de Sequência/métodos , Algoritmos , Proteínas do Capsídeo , Biologia Computacional/métodos , DNA Viral/análise , Enterovirus/genética , Infecções por Enterovirus/virologia , Humanos , Dados de Sequência Molecular , Análise de Sequência de DNA , SoftwareRESUMO
Streptococcus faecalis 31H-1 is a proteolytic transconjugant of strain 31B, that harbors the 38.5 Mdal plasmid which codes for hemolysin in strain X14. It fails to express the hemolytic character in broth due to its proteolytic character. Hemolytic activity can be demonstrated when the proteolytic activity is inhibited by 10(-4) M EDTA. The effect of erythromycin (on the donor cells) and of proteinase K during conjugation suggests that the conjugation system involving the 38.5 Mdal plasmid of S. faecalis strain X14 is sex-pherormone mediated.