Modelos matemáticos e computacionais em dengue

This work was developed starting the study of traditionals mathematical models that describe the epidemiology of infectious díseases by direct or indirect transmission. We did the classical approach of equilibrium solutions search, its analysis of stability analytically and by numerical solutions. After, we applied these techniques in a compartimental model of Dengue transmission that consider the mosquito population (susceptible vector Vs and 'infected vector VI), human population (suseeptíble humans S, infected humans I and recovered humans R) and just one sorotype floating in this population. We found the equilibrium solutions and from their analises, it was possible find the reprodution rate of dísease and which define if the disease will be endemic or not in the population.- ext, we used the method described a..~, [1] to study the infíuence of seasonalíty at vírus transmission, when it just acts on one of rates related with the vector. Lastly, we made de modeling considering the periodicity of alI rates, thereby building, a modeI with temporal dependence that permits to study periodicity of transmission through of the approach of parametrical ressonance and genetic algorithm

Simultaneous circulation of all four dengue serotypes in Manaus, State of Amazonas, Brazil in 2011

Introduction: Manaus, the capital city of the state of Amazon with nearly 2 million inhabitants, is located in the middle of the Amazon rain forest and has suffered dengue outbreaks since 1998. Methods: In this study, blood samples were investigated using reverse transcriptase-polymerase chain reaction (RT-PCR), aimed at identifying dengue virus serotypes. Results: Acute phase sera from 432 patients were tested for the presence of dengue virus. Out of the 432 patients, 137 (31.3%) were found to be positive. All the four dengue virus serotypes were observed. Conclusions: The simultaneous circulation of the four dengue serotypes is described for the first time in Manaus and in Brazil.

Worldwide spread of Dengue virus type 1

BACKGROUND: DENV-1 is one of the four viral serotypes that causes Dengue, the most common mosquito-borne viral disease of humans. The prevalence of these viruses has grown in recent decades and is now present in more than 100 countries. Limited studies document the spread of DENV-1 over the world despite its importance for human health. METHODOLOGY/PRINCIPAL FINDINGS: We used representative DENV-1 envelope gene sequences to unravel the dynamics of viral diffusion under a Bayesian phylogeographic approach. Data included strains from 45 distinct geographic locations isolated from 1944 to 2009. The estimated mean rate of nucleotide substitution was 6.56 × 10⁻⁴ substitutions/site/year. The larger genotypes (I, IV and V) had a distinctive phylogenetic structure and since 1990 they experienced effective population size oscillations. Thailand and Indonesia represented the main sources of strains for neighboring countries. Besides, Asia broadcast lineages into the Americas and the Pacific region that diverged in isolation. Also, a transmission network analysis revealed the pivotal role of Indochina in the global diffusion of DENV-1 and of the Caribbean in the diffusion over the Americas. CONCLUSIONS/SIGNIFICANCE: The study summarizes the spatiotemporal DENV-1 worldwide spread that may help disease control.

The dengue virus non-structural 1 protein: risks and benefits

The dengue virus (DENV) non-structural 1 (NS1) protein plays a critical role in viral RNA replication and has a central position in DENV pathogenesis. DENV NS1 is a glycoprotein expressed in infected mammalian cells as soluble monomers that dimerize in the lumen of the endoplasmic reticulum; NS1 is subsequently transported to the cell surface, where it remains membrane associated or is secreted into the extracellular milieu as a hexameric complex. During the last three decades, the DENV NS1 protein has also been intensively investigated as a potential target for vaccines and antiviral drugs. In addition, NS1 is the major diagnostic marker for dengue infection. This review highlights some important issues regarding the role of NS1 in DENV pathogenesis and its biotechnological applications, both as a target for the development of safe and effective vaccines and antiviral drugs and as a tool for the generation of accurate diagnostic methods

A atuação do enfermeiro no combate à dengue e a febre chikungunya: estudo comparativo nos municípios de Parnamirim e Santa Cruz/RN

The research aimed to analyze the role of nurses in the Family Health Strategy (FHS) in the control of Dengue and Chikungunya fever in the cities of Parnamirim and Santa Cruz. It is exploratory and descriptive nature of research, with a qualitative approach, which was developed with nurses of the Family Health Strategy in the municipalities of Parnamirim and Santa Cruz. All research process followed the ethical standards laid out research in Resolution No. 466/2012 of the National Health Council about research involving human beings. Data collection was performed using a semi-structured questionnaire with open and closed questions, organized into three parts: the profile of respondents, knowledge of the disease (transmission, prevention, control) and description of practices. The actions performed by nurses are punctual performed when there is growing disease of the number of cases in order to try to reduce the number of cases. The principal methodology used for them is to talk and guidelines resulting from campaigns and home visits, using leaflets and social networks. Regarding knowledge of nurses in the city of Santa Cruz on Dengue Fever and Chikungunya, is clearly some gaps. Nursing professionals know recognize a suspected case of dengue, but get confused when trying to explain to the Chikungunya fever, exhibiting the same symptoms of dengue. Although everybody had participated in a training on Chikungunya Fever and Dengue, a very limited knowledge of nurses regarding the clinical management. It is suggested that further studies are developed on the ground a few nurses have accepted to participate in the study, so that we can identify strategies, interventions, activities and nursing actions that are consistent with the reality of working in favor of coping Aedes epidemics aegypti that have positive impact on reducing the infestation rates and may be suitable and applied in other regions.

A atuação do enfermeiro no combate à dengue e a febre chikungunya: estudo comparativo nos municípios de Parnamirim e Santa Cruz/RN

The research aimed to analyze the role of nurses in the Family Health Strategy (FHS) in the control of Dengue and Chikungunya fever in the cities of Parnamirim and Santa Cruz. It is exploratory and descriptive nature of research, with a qualitative approach, which was developed with nurses of the Family Health Strategy in the municipalities of Parnamirim and Santa Cruz. All research process followed the ethical standards laid out research in Resolution No. 466/2012 of the National Health Council about research involving human beings. Data collection was performed using a semi-structured questionnaire with open and closed questions, organized into three parts: the profile of respondents, knowledge of the disease (transmission, prevention, control) and description of practices. The actions performed by nurses are punctual performed when there is growing disease of the number of cases in order to try to reduce the number of cases. The principal methodology used for them is to talk and guidelines resulting from campaigns and home visits, using leaflets and social networks. Regarding knowledge of nurses in the city of Santa Cruz on Dengue Fever and Chikungunya, is clearly some gaps. Nursing professionals know recognize a suspected case of dengue, but get confused when trying to explain to the Chikungunya fever, exhibiting the same symptoms of dengue. Although everybody had participated in a training on Chikungunya Fever and Dengue, a very limited knowledge of nurses regarding the clinical management. It is suggested that further studies are developed on the ground a few nurses have accepted to participate in the study, so that we can identify strategies, interventions, activities and nursing actions that are consistent with the reality of working in favor of coping Aedes epidemics aegypti that have positive impact on reducing the infestation rates and may be suitable and applied in other regions.

Dengue fever and el nino-southern oscillation in Queensland, Australia : a time series predictive model

Background It remains unclear over whether it is possible to develop an epidemic forecasting model for transmission of dengue fever in Queensland, Australia. Objectives To examine the potential impact of El Niño/Southern Oscillation on the transmission of dengue fever in Queensland, Australia and explore the possibility of developing a forecast model of dengue fever. Methods Data on the Southern Oscillation Index (SOI), an indicator of El Niño/Southern Oscillation activity, were obtained from the Australian Bureau of Meteorology. Numbers of dengue fever cases notified and the numbers of postcode areas with dengue fever cases between January 1993 and December 2005 were obtained from the Queensland Health and relevant population data were obtained from the Australia Bureau of Statistics. A multivariate Seasonal Auto-regressive Integrated Moving Average model was developed and validated by dividing the data file into two datasets: the data from January 1993 to December 2003 were used to construct a model and those from January 2004 to December 2005 were used to validate it. Results A decrease in the average SOI (ie, warmer conditions) during the preceding 3–12 months was significantly associated with an increase in the monthly numbers of postcode areas with dengue fever cases (β=−0.038; p = 0.019). Predicted values from the Seasonal Auto-regressive Integrated Moving Average model were consistent with the observed values in the validation dataset (root-mean-square percentage error: 1.93%). Conclusions Climate variability is directly and/or indirectly associated with dengue transmission and the development of an SOI-based epidemic forecasting system is possible for dengue fever in Queensland, Australia.