Modelo prolab: plataforma digital que promueve el turismo sostenible “Tinkuy Perú”

Esta investigación propone el modelo de negocio Tinkuy Perú que busca promover el turismo sostenible, las principales páginas de turismo y agencias de viaje en su mayoría promociona destinos y rutas tradicionales, tal es así que en la región de Piura se enfocan en las playas de Talara y Paita dejando, sin explotar 209 recursos turísticos de la región haciendo evidente que existe una demanda no satisfecha, la de aquellos turistas que buscan experiencias diferenciadas. Se plantea aplicar este modelo de negocio en la región Piura y extenderse a otras regiones con potencial turístico. Tinkuy Perú es una plataforma digital que busca conectar a los emprendedores de servicios turísticos con turistas a través de una página digital que les permita realizar búsqueda y creación de rutas personalizadas, reserva y pago de servicios turísticos haciendo uso de herramientas tecnológicas innovadoras, como la inteligencia artificial. Tinkuy Perú fue sometida a pruebas de deseabilidad tanto con emprendedores como con turistas obteniéndose resultados satisfactorios y la validación de las hipótesis planteadas. La primera hipótesis, el 89 % de usuarios completó con éxito la creación de rutas personalizadas, envío y el pago de la reserva, con un NPS de 97, lo que indica un resultado positivo; en cuanto a la segunda hipótesis, el 82% de los usuarios estaban dispuestos a pagar una comisión mayor a 3% obteniendo un promedio ponderado 6.2% de comisión por el servicio de reserva, validando la segunda hipótesis. Este es un modelo socialmente sostenible alineado con la ODS 8 promueve el crecimiento económico inclusivo y sostenible, con un índice de relevancia social del 70% y un VANS de S/3’997,208. A nivel económico es sostenible y viable, ya que proyecta el crecimiento exponencial de sus ventas, con un VAN de S/4’690,080 y un TIR de 114.74% para los próximos cinco años.This research proposes the Tinkuy Peru business model that seeks to promote sustainable tourism, it was identified in the main tourism websites and travel agencies that most promote traditional destinations and routes, so much so that in the region of Piura that focus on the beaches of Talara and Paita leaving unexploited 209 of the tourist resources of the region making evident the existence of an unmet demand, that of those tourists seeking differentiated experiences. This business model will be applied in the first year in the Piura region and will be extended to other regions with tourism potential. Tinkuy Peru is a digital platform that seeks to connect tourism service entrepreneurs with tourists through a digital page that allows them to search for and create personalized routes, book, and pay for tourism services using innovative technological tools, such as artificial intelligence. Tinkuy Peru was subjected to desirability tests with both entrepreneurs and tourists, obtaining satisfactory results and validation of the hypotheses. The first hypothesis, 89% of users successfully completed the creation of personalized routes, shipping and payment of the reservation, with an NPS of 97, indicating a positive result; as for the second hypothesis, 82% of users are willing to pay a commission greater than 3% obtained a weighted average of 6.2% commission for the booking service validating the second hypothesis. This is a socially sustainable model aligned with SDG 8 that promotes inclusive and sustainable economic growth, with a social relevance index of 70% and a VANS of S/3’997,208 At an economic level it is sustainable and viable, as it projects exponential growth of its sales, with an NPV of S/ 4'690,080 and an IRR of 114.74% for the next five years

Modelo prolab: plataforma digital que promueve el turismo sostenible “Tinkuy Perú”

Esta investigación propone el modelo de negocio Tinkuy Perú que busca promover el turismo sostenible, las principales páginas de turismo y agencias de viaje en su mayoría promociona destinos y rutas tradicionales, tal es así que en la región de Piura se enfocan en las playas de Talara y Paita dejando, sin explotar 209 recursos turísticos de la región haciendo evidente que existe una demanda no satisfecha, la de aquellos turistas que buscan experiencias diferenciadas. Se plantea aplicar este modelo de negocio en la región Piura y extenderse a otras regiones con potencial turístico. Tinkuy Perú es una plataforma digital que busca conectar a los emprendedores de servicios turísticos con turistas a través de una página digital que les permita realizar búsqueda y creación de rutas personalizadas, reserva y pago de servicios turísticos haciendo uso de herramientas tecnológicas innovadoras, como la inteligencia artificial. Tinkuy Perú fue sometida a pruebas de deseabilidad tanto con emprendedores como con turistas obteniéndose resultados satisfactorios y la validación de las hipótesis planteadas. La primera hipótesis, el 89 % de usuarios completó con éxito la creación de rutas personalizadas, envío y el pago de la reserva, con un NPS de 97, lo que indica un resultado positivo; en cuanto a la segunda hipótesis, el 82% de los usuarios estaban dispuestos a pagar una comisión mayor a 3% obteniendo un promedio ponderado 6.2% de comisión por el servicio de reserva, validando la segunda hipótesis. Este es un modelo socialmente sostenible alineado con la ODS 8 promueve el crecimiento económico inclusivo y sostenible, con un índice de relevancia social del 70% y un VANS de S/3’997,208. A nivel económico es sostenible y viable, ya que proyecta el crecimiento exponencial de sus ventas, con un VAN de S/4’690,080 y un TIR de 114.74% para los próximos cinco años.This research proposes the Tinkuy Peru business model that seeks to promote sustainable tourism, it was identified in the main tourism websites and travel agencies that most promote traditional destinations and routes, so much so that in the region of Piura that focus on the beaches of Talara and Paita leaving unexploited 209 of the tourist resources of the region making evident the existence of an unmet demand, that of those tourists seeking differentiated experiences. This business model will be applied in the first year in the Piura region and will be extended to other regions with tourism potential. Tinkuy Peru is a digital platform that seeks to connect tourism service entrepreneurs with tourists through a digital page that allows them to search for and create personalized routes, book, and pay for tourism services using innovative technological tools, such as artificial intelligence. Tinkuy Peru was subjected to desirability tests with both entrepreneurs and tourists, obtaining satisfactory results and validation of the hypotheses. The first hypothesis, 89% of users successfully completed the creation of personalized routes, shipping and payment of the reservation, with an NPS of 97, indicating a positive result; as for the second hypothesis, 82% of users are willing to pay a commission greater than 3% obtained a weighted average of 6.2% commission for the booking service validating the second hypothesis. This is a socially sustainable model aligned with SDG 8 that promotes inclusive and sustainable economic growth, with a social relevance index of 70% and a VANS of S/3’997,208 At an economic level it is sustainable and viable, as it projects exponential growth of its sales, with an NPV of S/ 4'690,080 and an IRR of 114.74% for the next five years

Influenza-Like Illness Sentinel Surveillance in Peru

BACKGROUND: Acute respiratory illnesses and influenza-like illnesses (ILI) are a significant source of morbidity and mortality worldwide. Despite the public health importance, little is known about the etiology of these acute respiratory illnesses in many regions of South America. In 2006, the Peruvian Ministry of Health (MoH) and the US Naval Medical Research Center Detachment (NMRCD) initiated a collaboration to characterize the viral agents associated with ILI and to describe the clinical and epidemiological presentation of the affected population. METHODOLOGY/PRINCIPAL FINDINGS: Patients with ILI (fever > or =38 degrees C and cough or sore throat) were evaluated in clinics and hospitals in 13 Peruvian cities representative of the four main regions of the country. Nasal and oropharyngeal swabs, as well as epidemiological and demographic data, were collected from each patient. During the two years of this study (June 2006 through May 2008), a total of 6,835 patients, with a median age of 13 years, were recruited from 31 clinics and hospitals; 6,308 were enrolled by regular passive surveillance and 527 were enrolled as part of outbreak investigations. At least one respiratory virus was isolated from the specimens of 2,688 (42.6%) patients, with etiologies varying by age and geographical region. Overall the most common viral agents isolated were influenza A virus (25.1%), influenza B virus (9.7%), parainfluenza viruses 1, 2, and 3, (HPIV-1,-2,-3; 3.2%), herpes simplex virus (HSV; 2.6%), and adenoviruses (1.8%). Genetic analyses of influenza virus isolates demonstrated that three lineages of influenza A H1N1, one lineage of influenza A H3N2, and two lineages of influenza B were circulating in Peru during the course of this study. CONCLUSIONS: To our knowledge this is the most comprehensive study to date of the etiologic agents associated with ILI in Peru. These results demonstrate that a wide range of respiratory pathogens are circulating in Peru and this fact needs to be considered by clinicians when treating patients reporting with ILI. Furthermore, these data have implications for influenza vaccine design and implementation in South America

Assessing malaria transmission in a low endemicity area of north-western Peru

Background\ud Where malaria endemicity is low, control programmes need increasingly sensitive tools for monitoring malaria transmission intensity (MTI) and to better define health priorities. A cross-sectional survey was conducted in a low endemicity area of the Peruvian north-western coast to assess the MTI using both molecular and serological tools.\ud \ud Methods\ud Epidemiological, parasitological and serological data were collected from 2,667 individuals in three settlements of Bellavista district, in May 2010. Parasite infection was detected using microscopy and polymerase chain reaction (PCR). Antibodies to Plasmodium vivax merozoite surface protein-119 (PvMSP119) and to Plasmodium falciparum glutamate-rich protein (PfGLURP) were detected by ELISA. Risk factors for exposure to malaria (seropositivity) were assessed by multivariate survey logistic regression models. Age-specific antibody prevalence of both P. falciparum and P. vivax were analysed using a previously published catalytic conversion model based on maximum likelihood for generating seroconversion rates (SCR).\ud \ud Results\ud The overall parasite prevalence by microscopy and PCR were extremely low: 0.3 and 0.9%, respectively for P. vivax, and 0 and 0.04%, respectively for P. falciparum, while seroprevalence was much higher, 13.6% for P. vivax and 9.8% for P. falciparum. Settlement, age and occupation as moto-taxi driver during previous year were significantly associated with P. falciparum exposure, while age and distance to the water drain were associated with P. vivax exposure. Likelihood ratio tests supported age seroprevalence curves with two SCR for both P. vivax and P. falciparum indicating significant changes in the MTI over time. The SCR for PfGLURP was 19-fold lower after 2002 as compared to before (λ1 = 0.022 versus λ2 = 0.431), and the SCR for PvMSP119 was four-fold higher after 2006 as compared to before (λ1 = 0.024 versus λ2 = 0.006).\ud \ud Conclusion\ud Combining molecular and serological tools considerably enhanced the capacity of detecting current and past exposure to malaria infections and related risks factors in this very low endemicity area. This allowed for an improved characterization of the current human reservoir of infections, largely hidden and heterogeneous, as well as providing insights into recent changes in species specific MTIs. This approach will be of key importance for evaluating and monitoring future malaria elimination strategies.We would like to thank Socrates Herrera and the Centro Latino Americano de Investigación en Malaria (CLAIM) for their contribution to the fieldwork, and all study participants and the local authorities for their enthusiastic support provided to our study