Google Trends relacionado a la influenza

The recent paper on Using Google Trends (GT) to Estimate the Incidence of Influenza-Like Illness in Argentina 1 is very interesting. Orellano et al. studied Google Flu Trends (GFT) and GT with a conclusion regarding “the utility of GT to complement influenza surveillance”. Indeed, the usefulness of GFT and GT has been mentioned in some earlier reports 2,3. However, as a computational model, there are several things to be considered in the simulation 4. Under- or over-estimation can be expected and this is still the present problem in using the Google system for predicting influenza 4. There is a need for modifications of GT and GFT into a more specific tool that is appropriate for each context. A good example of this is the development of FluBreaks by Pervaiz et al.Fil: Wiwanitkit, Viroj. Wiwanitkit House; Tailandia. Surin Rajabhat University; Tailandia. Hainan Medical College; ChinaFil: Orellano, Pablo Wenceslao. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Surin Rajabhat University; TailandiaFil: Reynoso, Julieta Itati. Wiwanitkit House; TailandiaFil: Antman, Julián. Hainan Medical College; ChinaFil: Argibay, Osvaldo. Hainan Medical College; Chin

Epidemiological situation of pertussis and strategies to control it. Argentina, 2002-2011

Fil: Romanin, Viviana. Programa Nacional de Control de Enfermedades Inmunoprevenibles (ProNaCEI), Ministerio de Salud de la Nación; Argentina.Fil: Agustinho, Vanina. Programa Nacional de Control de Enfermedades Inmunoprevenibles (ProNaCEI), Ministerio de Salud de la Nación; Argentina.Fil: Califano, Gloria. Programa Nacional de Control de Enfermedades Inmunoprevenibles (ProNaCEI), Ministerio de Salud de la Nación; Argentina.Fil: Sagradini, Sandra. Programa Nacional de Control de Enfermedades Inmunoprevenibles (ProNaCEI), Ministerio de Salud de la Nación; Argentina.Fil: Aquino, Analia. Programa Nacional de Control de Enfermedades Inmunoprevenibles (ProNaCEI), Ministerio de Salud de la Nación; Argentina.Fil: Juarez, María del Valle. Programa Nacional de Control de Enfermedades Inmunoprevenibles (ProNaCEI), Ministerio de Salud de la Nación; Argentina.Fil: Antman, Julián. Dirección de Epidemiología, Ministerio de Salud de la Nación; Argentina.Fil: Giovacchini, Carlos. Dirección de Epidemiología, Ministerio de Salud de la Nación; Argentina.Fil: Galas, Marcelo F. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas; Argentina.Fil: Lara, Claudia. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas; Argentina.Fil: Hozbor, Daniela. . Laboratorio Nacional de Referencia Coqueluche, VacSal, Instituto de Biotecnología y Biología Molecular. Facultad de Ciencias Exactas. Universidad Nacional de La Plata; Argentina.Fil: Gentile, Ángela. Sociedad Argentina de Pediatría; Argentina.Fil: Vizzotti, Carla. Programa Nacional de Control de Enfermedades Inmunoprevenibles (ProNaCEI), Ministerio de Salud de la Nación; Argentina.Coqueluche constituye un problema de salud pública. Objetivos: Describir la morbimortalidad y coberturas de vacunación entre 2002 y 2011, el perfil de los casos de 2011 y las estrategias de control implementadas por el Ministerio de Salud (MSN)

Uso de la herramienta Google Trends para estimar la incidencia de enfermedades tipo influenza en Argentina

El objetivo del presente estudio fue hallar un modelo para estimar la incidencia de enfermedades tipo influenza (ETI), a partir de los términos de búsqueda relacionados recolectados por el Google Trends (GT). Los datos de vigilancia de ETI para los años 2012 y 2013 se obtuvieron del Sistema Nacional de Vigilancia de la Salud de Argentina. Las búsquedas de Internet se obtuvieron de la base de datos del GT, usando 6 términos: gripe, fiebre, tos, dolor de garganta, paracetamol e ibuprofeno. Se desarrolló un modelo de regresión de Poisson a partir de datos del año 2012, y se validó con datos del 2013 y resultados de la herramienta Google Flu Trends (GFT). La incidencia de ETI del sistema de vigilancia presentó fuertes correlaciones con las estimaciones de ETI del GT (r = 0,927) y del GFT (r = 0,943). Sin embargo, el GFT sobreestimó el pico de incidencia por casi el doble, mientras que el modelo basado en el GT subestimó el pico de incidencia por un factor de 0,7. Estos resultados demuestran la utilidad del GT como un complemento para la vigilancia de la influenz

Temperature, traveling, slums, and housing drive dengue transmission in a non-endemic metropolis

Dengue is steadily increasing worldwide and expanding into higher latitudes. Current non-endemic areas are prone to become endemic soon. To improve understanding of dengue transmission in these settings, we assessed the spatiotemporal dynamics of the hitherto largest outbreak in the non-endemic metropolis of Buenos Aires, Argentina, based on detailed information on the 5,104 georeferenced cases registered during summer-autumn of 2016. The highly seasonal dengue transmission in Buenos Aires was modulated by temperature and triggered by imported cases coming from regions with ongoing outbreaks. However, local transmission was made possible and consolidated heterogeneously in the city due to housing and socioeconomic characteristics of the population, with 32.8% of autochthonous cases occurring in slums, which held only 6.4% of the city population. A hierarchical spatiotemporal model accounting for imperfect detection of cases showed that, outside slums, less-affluent neighborhoods of houses (vs. apartments) favored transmission. Global and local spatiotemporal point-pattern analyses demonstrated that most transmission occurred at or close to home. Additionally, based on these results, a point-pattern analysis was assessed for early identification of transmission foci during the outbreak while accounting for population spatial distribution. Altogether, our results reveal how social, physical, and biological processes shape dengue transmission in Buenos Aires and, likely, other non-endemic cities, and suggest multiple opportunities for control interventions.Fil: Gurevitz, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; ArgentinaFil: Antman, Julián Gustavo. Gobierno de la Ciudad Autónoma de Buenos Aires. Ministerio de Salud; ArgentinaFil: Laneri, Karina Fabiana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina. Comisión Nacional de Energía Atómica. Gerencia del Área de Investigaciones y Aplicaciones No Nucleares. Gerencia de Física (cab). División Física Estadística; ArgentinaFil: Morales, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentin

Leishmaniasis visceral en la Argentina: Notificación y situación vectorial (2006-2012)

La leishmaniasis visceral (LV) en la Argentina se notifica obligatoriamente a través del Sistema Nacional de Vigilancia de la Salud (SNVS). El análisis de la notificación muestra un total de 103 casos distribuidos en cuatro provincias, siendo Misiones la de mayor casuística con un total de 80 casos en 15 localidades, desde mayo 2006 hasta julio de 2012. Los niños de 0 a 15 años de edad son el grupo con mayor incidencia. En el año 2004 fue registrado por primera vez el riesgo de LV urbana endémica en la provincia de Formosa tras el hallazgo del vector Lutzomyia longipalpis. En el año 2006 la provincia de Misiones registra casos de LV humana, LV canina, y la provincia de Corrientes en el verano 2008-2009. En Santiago del Estero los casos de LV humana y LV canina en el año 2008 estuvieron asociados posiblemente a vectores secundarios. En el año 2010 Lu. longipalpis fue hallado en Chajarí, Entre Ríos, mostrando su dispersión hacia el sur. Por ello, para conocer la distribución del riesgo, entre enero y abril del 2011 se realizó búsqueda sistemática del vector de LV en 13 localidades de las provincias de Entre Ríos, Santa Fe y Santiago del Estero, totalizando 275 trampas/noche. Se comprobó la colonización de Lu. longipalpis, en la localidad de Chajarí. En Santiago del Estero no se encontró Lu. longipalpis por lo que Migonemyia migonei sigue incriminada como vector putativo de LV en esta región

Situación epidemiológica de coqueluche y estrategias para su control. Argentina, 2002-2011

Introduction. Pertussis is a challenge for public health. Objectives: To describe pertussis-related morbidity and mortality and immunization coverage for the 2002-2011 period, profile of cases for 2011, and control strategies implemented by the Ministry of Health (MoH) of Argentina. Methods. Descriptive, epidemiological surveillance study. Morbidity data were obtained from the National Health Surveillance System, while mortality data were obtained from the MoH's Health Statistics and Information Department and official jurisdictional reports. Administrative immunization coverage was used based on the data provided by the MoH's jurisdictions. The Epi Info software, version 7.1.2, was used for analysis. Results. The number of reported cases of pertussis increased between 2002 and 2011, reaching its peak in 2011: an incidence of 16 × 100 000 inhabitants, and 76 deaths. Most deaths occurred in infants younger than 1 year old. Immunization coverage achieved at a national level with the third dose and the dose administered at the time of starting primary education was >90%, while the coverage achieved with the first booster dose was 80%-90%. In 2011, 2821 confirmed cases were reported (incidence of 7 × 100 000 inhabitants): 84% in infants <1 year old; 76 deaths: 97% in infants <1 year old (60.5% in infants <2 months old). Among the strategies that were deployed, a total of 906 clinical nodes and 405 laboratory nodes were consolidated; the use of the polymerase chain reaction as a diagnostic method and the differential classification of cases were implemented, and additional vaccine doses were administered. Conclusions -The number of pertussis cases increased between 2002 and 2011; the highest morbidity and mortality occurred in infants younger than 1 year old; immunization coverage reached 80%-90%. -The highest number of pertussis-related deaths was recorded in 2011. -The MoH strengthened the epidemiological surveillance and set guidelines for control measures.Facultad de Ciencias Exacta

Situación epidemiológica de coqueluche y estrategias para su control. Argentina, 2002-2011

Introduction. Pertussis is a challenge for public health. Objectives: To describe pertussis-related morbidity and mortality and immunization coverage for the 2002-2011 period, profile of cases for 2011, and control strategies implemented by the Ministry of Health (MoH) of Argentina. Methods. Descriptive, epidemiological surveillance study. Morbidity data were obtained from the National Health Surveillance System, while mortality data were obtained from the MoH's Health Statistics and Information Department and official jurisdictional reports. Administrative immunization coverage was used based on the data provided by the MoH's jurisdictions. The Epi Info software, version 7.1.2, was used for analysis. Results. The number of reported cases of pertussis increased between 2002 and 2011, reaching its peak in 2011: an incidence of 16 × 100 000 inhabitants, and 76 deaths. Most deaths occurred in infants younger than 1 year old. Immunization coverage achieved at a national level with the third dose and the dose administered at the time of starting primary education was >90%, while the coverage achieved with the first booster dose was 80%-90%. In 2011, 2821 confirmed cases were reported (incidence of 7 × 100 000 inhabitants): 84% in infants <1 year old; 76 deaths: 97% in infants <1 year old (60.5% in infants <2 months old). Among the strategies that were deployed, a total of 906 clinical nodes and 405 laboratory nodes were consolidated; the use of the polymerase chain reaction as a diagnostic method and the differential classification of cases were implemented, and additional vaccine doses were administered. Conclusions -The number of pertussis cases increased between 2002 and 2011; the highest morbidity and mortality occurred in infants younger than 1 year old; immunization coverage reached 80%-90%. -The highest number of pertussis-related deaths was recorded in 2011. -The MoH strengthened the epidemiological surveillance and set guidelines for control measures.Facultad de Ciencias Exacta

Situación epidemiológica de coqueluche y estrategias para su control. Argentina, 2002-2011

Introduction. Pertussis is a challenge for public health. Objectives: To describe pertussis-related morbidity and mortality and immunization coverage for the 2002-2011 period, profile of cases for 2011, and control strategies implemented by the Ministry of Health (MoH) of Argentina. Methods. Descriptive, epidemiological surveillance study. Morbidity data were obtained from the National Health Surveillance System, while mortality data were obtained from the MoH's Health Statistics and Information Department and official jurisdictional reports. Administrative immunization coverage was used based on the data provided by the MoH's jurisdictions. The Epi Info software, version 7.1.2, was used for analysis. Results. The number of reported cases of pertussis increased between 2002 and 2011, reaching its peak in 2011: an incidence of 16 × 100 000 inhabitants, and 76 deaths. Most deaths occurred in infants younger than 1 year old. Immunization coverage achieved at a national level with the third dose and the dose administered at the time of starting primary education was >90%, while the coverage achieved with the first booster dose was 80%-90%. In 2011, 2821 confirmed cases were reported (incidence of 7 × 100 000 inhabitants): 84% in infants <1 year old; 76 deaths: 97% in infants <1 year old (60.5% in infants <2 months old). Among the strategies that were deployed, a total of 906 clinical nodes and 405 laboratory nodes were consolidated; the use of the polymerase chain reaction as a diagnostic method and the differential classification of cases were implemented, and additional vaccine doses were administered. Conclusions -The number of pertussis cases increased between 2002 and 2011; the highest morbidity and mortality occurred in infants younger than 1 year old; immunization coverage reached 80%-90%. -The highest number of pertussis-related deaths was recorded in 2011. -The MoH strengthened the epidemiological surveillance and set guidelines for control measures.Facultad de Ciencias Exacta