Transforming the health information system using mobile and geographic information technologies, Papua New Guinea.

In the context of declining economic growth, now exacerbated by the coronavirus disease 2019 pandemic, Papua New Guinea is increasing the efficiency of its health systems to overcome difficulties in reaching global health and development targets. Before 2015, the national health information system was fragmented, underfunded, of limited utility and accessed infrequently by health authorities. We built an electronic system that integrated mobile technologies and geographic information system data sets of every house, village and health facility in the country. We piloted the system in 184 health facilities across five provinces between 2015 and 2016. By the end of 2020, the system's mobile tablets were rolled out to 473 facilities in 13 provinces, while the online platform was available in health authorities of all 22 provinces, including church health services. Fractured data siloes of legacy health programmes have been integrated and a platform for civil registration systems established. We discuss how mobile technologies and geographic information systems have transformed health information systems in Papua New Guinea over the past 6 years by increasing the timeliness, completeness, quality, accessibility, flexibility, acceptability and utility of national health data. To achieve this transformation, we highlight the importance of considering the benefits of mobile tools and using rich geographic information systems data sets for health workers in primary care in addition to the needs of public health authorities.

Dans un contexte de déclin de la croissance économique, exacerbé par la pandémie de maladie à coronavirus, la Papouasie-Nouvelle-Guinée a décidé d'augmenter l'efficacité de ses systèmes sanitaires afin de surmonter les difficultés à atteindre les objectifs globaux en matière de santé et de développement. Avant 2015, le système d'information sanitaire national était fragmenté, sous-financé, peu utile et rarement consulté par les autorités sanitaires. Nous avons donc conçu un système électronique intégrant des technologies mobiles et des ensembles de données géographiques provenant de chaque ménage, de chaque village et de chaque établissement de soins du pays. Entre 2015 et 2016, nous avons piloté le système dans 184 établissements de soins répartis sur cinq provinces. Fin 2020, les tablettes mobiles du système ont été distribuées dans 473 établissements de 13 provinces, tandis que les autorités sanitaires des 22 provinces du pays, y compris les services sanitaires confessionnels, ont pu accéder à la plateforme en ligne. Les silos de données fragmentées des programmes de santé antérieurs y ont été incorporés et une plateforme destinée aux registres d'état civil a été créée. Le présent document se penche sur la manière dont les technologies d'information mobiles et géographiques ont transformé les systèmes d'information sanitaire en Papouasie-Nouvelle-Guinée ces six dernières années en améliorant la ponctualité, l'exhaustivité, la qualité, l'accessibilité, la flexibilité, la recevabilité et l'utilité des données nationales sur la santé. Pour réaliser cette transformation, il est à nos yeux essentiel de tenir compte des avantages que représentent les outils mobiles, et de tirer profit des vastes ensembles de données géographiques non seulement pour les travailleurs des soins de santé primaires, mais aussi pour les besoins des autorités de santé publique.

En el contexto de un crecimiento económico en declive, agravado ahora por la pandemia de la enfermedad por coronavirus, Papúa Nueva Guinea está aumentando la eficiencia de sus sistemas sanitarios para superar las dificultades para alcanzar los objetivos globales de salud y desarrollo. Antes de 2015, el sistema nacional de información sanitaria estaba fragmentado, carecía de fondos suficientes, su utilidad era limitada y las autoridades sanitarias accedían a él con poca frecuencia. Construimos un sistema electrónico que integraba tecnologías móviles y conjuntos de datos del sistema de información geográfica de cada casa, pueblo y centro de salud del país. Entre 2015 y 2016 pusimos a prueba el sistema en 184 centros de salud de cinco provincias. A finales de 2020, las tabletas móviles del sistema se implementaron en 473 centros de 13 provincias, mientras que la plataforma en línea estaba disponible en las autoridades sanitarias de las 22 provincias, incluidos los servicios de salud de las iglesias. Se han integrado los silos de datos fracturados de los programas sanitarios heredados y se ha establecido una plataforma para los sistemas de registro civil. Exponemos cómo las tecnologías móviles y los sistemas de información geográfica han transformado los sistemas de información sanitaria en Papúa Nueva Guinea en los últimos seis años, aumentando la puntualidad, la exhaustividad, la calidad, la accesibilidad, la flexibilidad, la aceptabilidad y la utilidad de los datos sanitarios nacionales. Para lograr esta transformación, destacamos la importancia de tener en cuenta los beneficios de las herramientas móviles y de utilizar conjuntos de datos ricos en sistemas de información geográfica para los trabajadores sanitarios de la atención primaria, además de las necesidades de las autoridades sanitarias públicas.

Distribución temporal, geográfica y por población de la nueva enfermedad por coronavirus (COVID-19) desde el 20 de enero hasta el 10 de febrero del 2020, en China / Distributions of time, place, and population of novel coronavirus disease 2019 (COVID-19) from January 20 to February 10, 2020, in China

ANTECEDENTES Y OBJETIVO: Desde diciembre del 2019, se está detectando en el mundo un incremento de casos de una nueva enfermedad causada por el coronavirus 2019 (COVID-19). El objetivo de este artículo es proporcionar recomendaciones científicas para la prevención y el control de la COVID-19 en todo el mundo. MÉTODOS: Se han recopilado características demográficas generales, antecedentes epidemiológicos y síntomas clínicos de la COVID-19 recogidos en los sitios web de múltiples Comisiones Municipales de Salud en China. Aquí describimos las distribuciones temporales, geográficas y de población de la COVID-19. RESULTADOS: Hasta la medianoche del 10 de febrero del 2020, el número de casos confirmados de COVID-19 en China fue de 42.638, siendo Hubei la provincia con un mayor número de casos confirmados (31.728), seguida por Guangdong (1.177), Zhejiang (1.117) y la provincia de Henan (1.105), en China. El número de casos y la velocidad de confirmación en otras provincias fue más moderada que en la provincia de Hubei. La mediana (rango intecuartílico) de edad de 1.740 pacientes de COVID-19 fue de 44 años (33, 54), con un rango desde los 10 meses a los 89 años. CONCLUSIONES: La epidemia de COVID-19 se ha de considerar como una amenaza mundial, y los pasos encaminados para su control incluyen el diagnóstico temprano y su tratamiento, así como el aislamiento

BACKGROUND AND OBJECTIVE: Since December 2019, increasing cases of novel coronavirus disease 2019 (COVID-19) are being detected worldwide. The purpose of this paper is to provide a scientific reference for the global prevention and control of COVID-19. METHODS: General demographic characteristics, epidemiological history, and clinical symptoms of COVID-19 were collected that had been reported on the websites of multiple Municipal Health Commissions in China. We herein describe distributions in time, place, and population of COVID-19. RESULTS: As of midnight on February 10, 2020, the number of confirmed cases of COVID-19 in China was 42,638, and the province with the largest number of confirmed cases was Hubei (31728), followed by Guangdong (1177), Zhejiang (1117), and Henan (1105) province. The number of cases and the speed of confirmed cases in provinces other than Hubei were more moderate than those of the Hubei province. The median (interquartile range) age of 1740 patients with COVID-19 was 44 (33, 54) years, with a range of 10 months to 89 years. CONCLUSIONS: The COVID-19 epidemic should be considered a global threat and the steps for control include early diagnosis and treatment, as well as isolation

COVID-19 Waves: Importance of Accumulative Mortality per Million Inhabitants.

The reported number of new cases underestimates the real spread of COVID-19 pandemic because of non-tested asymptomatic people and limited global access to reliable diagnostic tests. In this context, COVID-19 mortality with confirmed diagnosis becomes an attractive source of information to be included in the analysis of perspectives and proposals. Objective data are required to calculate the capacity of resources provided by health systems. New strategies are needed to stabilize or minimize the mortality surge. However, we will not afford this goal until more alternatives were available. We still need an effective treatment, an affordable vaccine, or a collective achievement of sufficient immunity (reaching up to 70% of the whole population). At any time, the arriving waves of the pandemic are testing the capacity of governments. The health services struggle to keep the plateau in a steady-state below 100 deaths per million inhabitants. Therefore, it is necessary to increase the alternatives and supplies based on the current and near-future expected demands imposed by the number of deaths by COVID-19. Estimating COVID-19 mortality in various scenarios with the gradual release of social constraints will help predict the magnitude of those arriving waves.

Todo está en el mapa: Atlas Integrales de Salud Mental para la planificación de servicios. Informe SESPAS 2020 / Everything is on the map: Integrated Mental Health Atlases as support tools for service planning. SESPAS Report 2020

OBJETIVO: Este artículo revisa y evalúa el uso de los Atlas Integrales de Salud Mental como herramientas de apoyo a la planificación de servicios dentro del modelo de investigación de ecosistemas de atención de salud. MÉTODO: Se describen los tipos de atlas y el procedimiento para su elaboración. Se presentan los realizados en España y se evalúa su impacto en la planificación de servicios de salud mental. Los atlas agregan información sobre las características locales del sistema de atención, la disponibilidad geográfica de recursos recogida mediante el instrumento DESDE-LTC, y su uso. Utilizan un sistema de información geográfica y otras herramientas visuales. Siguen una metodología de abajo arriba con colaboración de personas decisoras de agencias de planificación para su elaboración y validación externa. RESULTADOS: Desde 2005 se han realizado Atlas Integrales de Salud Mental en nueve comunidades autónomas que comprenden alrededor del 65% de la población de España. Los atlas han tenido un impacto desigual en la planificación de servicios, con un mayor impacto en Cataluña, Vizcaya y Guipúzcoa, y Andalucía, donde responsables sociales han participado activamente en su codiseño y su aplicación a la planificación de servicios sociosanitarios. CONCLUSIONES: Los atlas permiten detectar carencias o duplicidades en la atención, monitorizar cambios a lo largo del tiempo, realizar comparaciones nacionales e internacionales, modelar la eficiencia y hacer análisis benchmark. Este conocimiento puede incorporarse a los sistemas de apoyo a la decisión para una más eficaz planificación de los servicios de salud mental basada en evidencia informada

OBJECTIVE: This article reviews the usability of the Integrated Atlases of Mental Health as a decision support tool for service planning following a health ecosystem research approach. METHOD: This study describes the types of atlases and the procedure for their development. Atlases carried out in Spain are presented and their impact in mental health service planning is assessed. Atlases comprise information on the local characteristics of the health care system, geographical availability of resources collected with the DESDE-LTC instrument and their use. Atlases use geographic information systems and other visualisation tools. Atlases follow a bottom-up collaborative approach involving decision-makers from planning agencies for their development and external validation. RESULTS: Since 2005, Integrated Atlases of Mental Health have been developed for nine regions in Spain comprising over 65% of the Spanish inhabitants. The impact on service planning has been unequal for the different regions. Catalonia, Biscay and Gipuzkoa, and Andalusia reach the highest impact. In these areas, health advisors have been actively involved in their co-design and implementation in service planning. CONCLUSIONS: Atlases allow detecting care gaps and duplications in care provision; monitoring changes of the system over time, and carrying out national and international comparisons, efficiency modelling and benchmarking. The knowledge provided by atlases could be incorporated to decision support systems in order to support an efficient mental health service planning based on evidence-informed policy

Traumatic injury and access to care in rural areas: leveraging linked data and geographic information systems for planning and advocacy.

INTRODUCTION: The purpose of this ecological study was to apply Geographic Information System (GIS) methods to patterns of traumatic injury and access to trauma care to facilitate system planning and advocacy. METHODS: Four US state (Colorado) and national data sources were linked to examine county-level disparities. Average ambulance drive times to trauma centers for populated places in each county were estimated and mapped. RESULTS: Independent samples t-tests demonstrated Colorado's rural counties had significantly higher injury hospitalization rates (mean (M)=685.4 v M=566.3; p=0.005)) and fatality rates (M=93.8 v M=71.6, p<0.001), indicating residents with the least access to care are the most impacted by the burden of injury; this finding was supported by GIS analyses of drive times to level I and II trauma centers and underlying injury rates, which are visually displayed. CONCLUSIONS: These methods are useful tools for rural public health professionals to conduct system optimization, identify training and resource needs, assess prevention priorities, and advocate for trauma system support.

Cost Effectiveness of Drive and Retrieve System in Hokkaido for Acute Ischemic Stroke Patient Treatment Using Geographic Information System.

BACKGROUND AND PURPOSE: Although endovascular thrombectomy combined with recombinant tissue-type plasminogen activator is effective for treatment of acute ischemic stroke, regional disparities in implementation rates of those treatments have been reported. Drive and retrieve system, where a qualified neurointerventionist travels to another primary stroke center for endovascular thrombectomy, has been practiced in parts of Hokkaido, Japan. This study aims to simulate the cost effectiveness of the drive and retrieve system, which can be a method to enhance equality and cost effectiveness of treatments for acute ischemic stroke. MATERIALS AND METHODS: The number of patients who had acute ischemic stroke in 2015 is estimated. Those patients are generated according to the population distribution, and thereafter patient transport time is analyzed in the 3 scenarios (1) 60-minute drive scenario, (2) 90-minute drive scenario, in which the drive and retrieve system operates within 60-minute or 90-minute driving distance (3) without the system, using geographic information system. Incremental cost-effectiveness rate, quality-adjusted life years, and medical and nursing care costs are estimated from the analyzed transport time. FINDINGS: The incremental cost-effectiveness rate by implementing the system was dominant. Cost reductions of $213,190 in 60-minute drive scenario, and $247,274 in the 90-minute scenario were expected, respectively. Such benefits are the most significant in Soya, Emmon, Rumoi, and Kamikawahokubu medical areas. CONCLUSIONS: The drive and retrieve system could enhance regional equality and cost effectiveness of ischemic stroke treatments in Hokkaido, which can be achieved using existing resources. Further studies are required to clarify its cost effectiveness from hospital perspective.

The world in your hands: GeoHealth then and now.

Infectious diseases transmitted by vectors/intermediate hosts constitute a major part of the economic burden related to public health in the endemic countries of the tropics, which challenges local welfare and hinders development. The World Health Organization, in partnership with pharmaceutical companies, major donors, endemic countries and non-governmental organizations, aims to eliminate the majority of these infections in the near future. To succeed, the ecological requirements and real-time distributions of the causative agents (bacteria, parasites and viruses) and their vectors must not only be known to a high degree of accuracy, but the data must also be updated more rapidly than has so far been the case. Current approaches include data collection through terrestrial capture on site and satellite-generated information. This article provides an update of currently available sources of remotely-sensed data, including specific information on satellite-borne sensors, and how such data can be handled by Geographical Information Systems (GIS). Computers, when equipped with GIS software based on common spatial denominators, can connect remotely-sensed environmental records with terrestrial-captured data and apply spatial statistics in ways uniquely suited to manage control activities in areas where vector-borne infections dominate.

Seasonal microclimatic variation in a succession gradient of low thorn forest in Northeastern Mexico / Variación microclimática estacional en un gradiente sucesional de selva baja espinosa en el Noreste de México

Abstract Global increase in land cover change and deforestation bring about fragmentation of a high proportion of native vegetation areas. Microclimate is among the first modified factors after vegetation loss, effects of such disturbances are critical for species performance. However, both secondary succession and seasonality provoke further modifications in abiotic environment after disturbances. Although microclimate patterns during succession are well studied for several ecosystems, they are practically unknown for low thorn forests. In Northern Mexico, this is an endangered ecosystem characterized by harboring a high percentage of endemics. Measurement of microclimatic factors is crucial for understanding possible consequences of post-disturbance time on species inhabiting this ecosystem. This work aimed to assess seasonal variation of microclimatic patterns in a succession gradient of four categories (conserved areas, 31, 17 and four years of succession). The study area was delimited using Landsat satellite images (1973, 1986, 2000, 2005, and 2013) in a fragment of low thorn forest in Northeastern Mexico. For microclimate characterization we studied wind speed, temperature, relative humidity, heat index, dew point, and evapotranspiration. Variables were measured monthly on eight plots, in each of the four successional categories, during two different seasons: wet (May through October 2016) and dry season (November 2016 through April 2017). A multivariate discriminant function analysis showed that microclimate differs among successional stages. In the wet season, early succession areas were characterized by higher values of heat index and wind speed, contrary to conserved areas. In the dry season, successional differences were attributed to wind speed and relative humidity. Moreover, microclimate differences between categories and importance of variables measured were both higher only during the dry season. Our results show that seasonality influences greatly microclimatic patterns during secondary succession. In addition, each one of the successional categories exhibited unique microclimatic conditions. Remarkably, four, 17, and even 31 years succession categories differed from conserved areas. This work provides evidence on the great relevance of seasonality and microclimate for studying secondary succession. It is suggested to take both factors into consideration when implementing conservation programs concerning endangered habitats such as low thorn forests. As an ecosystem poorly studied, microclimate characterization provided herein, shall help to a better understanding and management of these areas.(AU)

Resumen El aumento global en el cambio de cobertura vegetal y la deforestación han fragmentado una elevada proporción de áreas de vegetación nativa. El microclima es un factor que se modifica después de la pérdida de vegetación, y los efectos de tales perturbaciones son trascendentales para las especies. Sin embargo, tanto la sucesión secundaria como la estacionalidad implican modificaciones adicionales en el medio abiótico después del disturbio. Aunque los patrones microclimáticos durante la sucesión son conocidos en varios ecosistemas, no se han evaluado en áreas de selva baja espinosa, que constituye un ecosistema amenazado en el norte de México. La medición de tales factores microclimáticos es crucial para comprender las consecuencias de la recuperación post-disturbio en las especies. Por lo tanto, el objetivo del estudio fue evaluar la variación estacional del microclima en un gradiente de sucesión de cuatro categorías (áreas conservadas, 31, 17 y cuatro años de sucesión), delimitadas mediante imágenes de satélite LANDSAT (1973, 1986, 2000, 2005 y 2013) en un fragmento de selva baja espinosa en el noreste de México. Para caracterizar el microclima se consideraron la velocidad del viento, temperatura, humedad relativa, índice de calor, punto de rocío y evapotranspiración. Las variables se midieron de forma mensual, durante un año, en ocho sitios de muestreo en cada una de las cuatro categorías sucesionales, durante dos estaciones diferentes: húmeda (mayo a octubre 2016) y seca (noviembre 2016 hasta abril 2017). A través de un análisis multivariado de funciones discriminantes, se determinó que las categorías sucesionales en la selva baja espinosa son diferentes dependiendo del microclima. En la estación húmeda, las áreas con poco tiempo de sucesión se caracterizaron por valores más altos de índice de calor y velocidad del viento, al contrario de las áreas conservadas. En la estación seca, las diferencias sucesionales se atribuyeron a la velocidad del viento y la humedad relativa. Además, tanto la discriminación entre categorías como la importancia de las variables fueron mayores solo durante la estación seca. Por lo tanto, la estacionalidad determina los patrones microclimáticos durante la sucesión secundaria. Además, cada categoría sucesional representa condiciones microclimáticas únicas, pero difieren de las áreas conservadas incluso después de 31 años de sucesión. De acuerdo con nuestros resultados, la estacionalidad y el microclima son de gran relevancia para el estudio de la sucesión secundaria. Se sugiere considerar ambos factores cuando se implementan programas de conservación de ecosistemas en riesgo, como la selva baja espinosa en el noreste de México. Al ser este un ecosistema poco estudiado, la caracterización microclimática que aquí se proporciona, ayudará a un mejor entendimiento y manejo forestal de dichas áreas.(AU)

Using Geographic Information Systems to investigate variations in accessibility to 'extended hours' primary healthcare provision.

There are ongoing policy concerns surrounding the difficulty in obtaining timely appointments to primary healthcare services and the potential impact on, for example, attendance at accident and emergency services and potential health outcomes. Using the case study of potential access to primary healthcare services in Wales, Geographic Information System (GIS)-based tools that permit a consideration of population-to-provider ratios over space are used to examine variations in geographical accessibility to general practitioner (GP) surgeries offering appointment times outside of 'core' operating hours. Correlation analysis is used to explore the association of accessibility scores with potential demand for such services using UK Population Census data. Unlike the situation in England, there is a tendency for accessibility to those surgeries offering 'extended' hours of appointment times to be better for more deprived census areas in Wales. However, accessibility to surgeries offering appointments in the evening was associated with lower levels of working age population classed as 'economically active'; that is, those who could be targeted beneficiaries of policies geared towards 'extended' appointment hours provision. Such models have the potential to identify spatial mismatches of different facets of primary healthcare, such as 'extended' hours provision available at GP surgeries, and are worthy of further investigation, especially in relation to policies targeted at particular demographic groups.

Determination of the spatial susceptibility to Yellow Fever using a multicriteria analysis

BACKGROUND The outbreak of sylvatic Yellow Fever (SYF) in humans during 2016-2017 in Brazil is one of the greatest in the history of the disease. The occurrence of the disease in areas with low vaccination coverage favoured the dissemination of the disease; therefore, it is necessary to identify the areas vulnerability to the YF virus (YFV) to assist in the adoption of preventive measures. OBJECTIVE To correlate the physical-environmental elements associated with the occurrence of SYF in humans via a multicriteria analysis. METHODS For the multicriteria analysis, preponderant elements related to SYF occurrences, including soil usage and coverage, temperature, precipitation, altitude, mosquito transmitters, and non-human primate occurrence areas, were considered. The results were validated by assessing the correlation between the incidence of SYF and the vulnerable areas identified in the multicriteria analysis. RESULTS Two regions with different vulnerability to the occurrence of the disease were identified in the multicriteria analysis, with emphasis on the southern areas of the state of São Paulo northeast areas of Minas Gerais, and the entire states of Rio de Janeiro and Espírito Santo. The map of SYF vulnerability obtained in the multicriteria analysis coincides with the areas in which cases of the disease have been recorded. The regions that presented the greatest suitability were in fact the municipalities with the highest incidence. MAIN CONCLUSIONS The multicriteria analysis revealed that the elements that were used are suited for and consistent in the prediction of the areas that are vulnerable to SYF. The results obtained indicate the proximity of the areas that are most vulnerable to the disease to densely populated areas where an Aedes aegypti infestation was observed, which confers a high risk of re-urbanisation of YF.

SeaGIS Abruzzo: A publicly available atlas of marine uses and natural resources in the Adriatic Sea Region.

In the Adriatic Sea, the European Union supported a cross-border cooperation research program, during which digital spatial data on shellfish production and relaying areas, regulated conditions on fishing activities, protected areas and restocking structures, administrative boundaries and sea bottom characteristics, were collated from digital repositories in various institutions and paper documents. A web-based geographical information system was developed to share data of the sea facing the Abruzzi region and to explore the spatial distribution of marine resources and maritime activities, thus focussing and facilitating fisheries management and providing a potential support to the regional planning of resource exploitation.

A method for estimating the deforestation timeline in rural settlements in a scenario of malaria transmission in frontier expansion in the Amazon Region

The Malaria Frontier Hypothesis (MFH) is the current model for predicting malaria emergence in the Brazilian Amazon. It has two important dimensions, 'settlement time' and 'malaria incidence', and its prediction are: malaria incidence peaks five years after the initiation of human settlement and declines towards zero after an estimated 10 years. Although MFH is currently accepted, it has been challenged recently. Herein, we described a novel method for estimating settlement timeline by using remote sensing technology integrated in an open-software geographic information system. Surprisingly, we found that of the majority of the rural settlements with high malaria incidence are more than 10 years old.

A New Approach to Predict user Mobility Using Semantic Analysis and Machine Learning.

Mobility prediction is a technique in which the future location of a user is identified in a given network. Mobility prediction provides solutions to many day-to-day life problems. It helps in seamless handovers in wireless networks to provide better location based services and to recalculate paths in Mobile Ad hoc Networks (MANET). In the present study, a framework is presented which predicts user mobility in presence and absence of mobility history. Naïve Bayesian classification algorithm and Markov Model are used to predict user future location when user mobility history is available. An attempt is made to predict user future location by using Short Message Service (SMS) and instantaneous Geological coordinates in the absence of mobility patterns. The proposed technique compares the performance metrics with commonly used Markov Chain model. From the experimental results it is evident that the techniques used in this work gives better results when considering both spatial and temporal information. The proposed method predicts user's future location in the absence of mobility history quite fairly. The proposed work is applied to predict the mobility of medical rescue vehicles and social security systems.

Advances in spatial epidemiology and geographic information systems.

The field of spatial epidemiology has evolved rapidly in the past 2 decades. This study serves as a brief introduction to spatial epidemiology and the use of geographic information systems in applied research in epidemiology. We highlight technical developments and highlight opportunities to apply spatial analytic methods in epidemiologic research, focusing on methodologies involving geocoding, distance estimation, residential mobility, record linkage and data integration, spatial and spatio-temporal clustering, small area estimation, and Bayesian applications to disease mapping. The articles included in this issue incorporate many of these methods into their study designs and analytical frameworks. It is our hope that these studies will spur further development and utilization of spatial analysis and geographic information systems in epidemiologic research.

Spatial distribution and accessibility to public sector tertiary care teaching hospitals in Karachi: A Geographic Information Systems application.

Optimal utilization of specialized curative healthcare services is contingent on spatial access to tertiary-care hospitals by the targeted population. The objectives of this study were to determine the spatial distribution of public sector tertiary-care teaching hospitals in Karachi, and to use GIS and network analysis for modeling the accessibility to these hospitals for Karachi residents. Maps of three, six, and nine kilometer buffers were created around the five selected hospitals to determine which towns of Karachi are either entirely or partially covered/accessible. Most of the towns in Karachi were covered either partially or completely by the three buffers and service areas of 3,6, and 9 kilometers around the five selected hospitals. This study highlights the limitations of using publicly available data for road network, and the need for creating and making available in public domain, comprehensive road network vector dataset in conjunction with population breakdowns by administrative subdivisions.

POLESAT an Innovative e-Geoplatform in Health Management.

UNLABELLED: Health geography and geomatics have become major disciplines in the last few years and are the source of attractive concepts for medical informatics. POLESAT's e-geoplatform was built to present information and support decision-making during medical consultation. We have improved its usability with innovative and modern methodology. Results show five steps of the process. 1: we select one of three hospitals. 2: thanks to PiNoKio's anatomy, the related activity segments are displayed. 3: the activity segment "AB-Orthopedics, Rheumatology" is displayed. 4: click on "AB02-Amputations" product line and 5: go to hospital activity choropleth map. CONCLUSION: This third e-geoplatform version is a showcase for advanced open-source geomatics via web-mapping possibilities. Health management based on geography concepts, geomatics, an amusing avatar for children, health and/or geographic open data represent the technology of tomorrow. This e-geoplatform concept presents an opportunity for the serious games industry, education and will reduce health access inequalities.

POLESAT an Innovative e-Geoplatform in Health Management.

UNLABELLED: Health geography and geomatics have become major disciplines in the last few years and are the source of attractive concepts for medical informatics. POLESAT's e-geoplatform was built to present information and support decision-making during medical consultation. We have improved its usability with innovative and modern methodology. Results show five steps of the process. 1: we select one of three hospitals. 2: thanks to PiNoKio's anatomy, the related activity segments are displayed. 3: the activity segment "AB-Orthopedics, Rheumatology" is displayed. 4: click on "AB02-Amputations" product line and 5: go to hospital activity choropleth map. CONCLUSION: This third e-geoplatform version is a showcase for advanced open-source geomatics via web-mapping possibilities. Health management based on geography concepts, geomatics, an amusing avatar for children, health and/or geographic open data represent the technology of tomorrow. This e-geoplatform concept presents an opportunity for the serious games industry, education and will reduce health access inequalities.

Geo-spatial Informatics in International Public Health Nursing Education.

This poster describes results of an undergraduate nursing informatics experience. Students applied geo-spatial methods to community assessments in two urban regions of New Zealand and the United States. Students used the Omaha System standardized language to code their observations during a brief community assessment activity and entered their data into a mapping program developed in Esri ArcGIS Online, a geographic information system. Results will be displayed in tables and maps to allow comparison among the communities. The next generation of nurses can employ geo-spatial informatics methods to contribute to innovative community assessment, planning and policy development.

Comunicación científica (XXXIV). Cómo hacer una estrategia social media para pediatras (I). Diseño de una estrategia de posicionamiento local en internet / Scientific communication (XXXIV). How to make a social media strategy for paediatricians (I). Strategy design for a local internet positioning

Hoy en día es muy importante tener visibilidad en internet, ya que los pacientes potenciales que necesitan nuestros servicios suelen buscarlos en la web, usando su portátil, tablet o teléfono móvil, a través de motores de búsqueda. En España, más del 95% de los usuarios lo hacen utilizando Google. Una parte de esas búsquedas son geolocalizadas, es decir, búsquedas en las que el usuario expresa en qué ciudad está buscando servicios de pediatría. Por ello, este trabajo pretende dar unas pautas básicas y unas mejores prácticas para dar visibilidad online geolocalizada a través de buscadores (lo que se conoce como «local SEO» [search engine optimization, o «posicionamiento en buscadores»]) a una clínica pediátrica que desee ser encontrada por este tipo de búsquedas relacionadas con los servicios que presta. De esta manera podrá mejorar su relación con los usuarios y otros sitios web, así como aumentar las probabilidades de obtener visitas de pacientes a través de sus contenidos web (AU)

Today it is very important to have visibility on the Internet, because potential patients who need our services usually find them on the web, using laptop, tablet or mobile phone, through search engines. In Spain, more than 95% of users do using Google. A portion of these queries are geolocated. Local queries occur when the user includes in the query keywords, the name of the city where is looking for pediatrics services. Therefore, this paper aims to provide some basic guidelines and better practices to improve chances of online visibility when geographic location is related to the expressed information need, what is known as «Local SEO» (search engine optimization). This advice is adapted to a pediatric clinic wanting to be found by geo queries related to the services provided, by improving the relationship with users and other websites and a set of techniques, increasing likelihood of visits and potential patients through their web content (AU)