The Health Resources Allocation Model (HRAM) for the 21st century

Maire, Nicolás; Hegnauer, Michael; Nguyen, Dana R; Godelmann, Lucas; Peterhans, Bernadette; Hoffmann, Axel; Savigny, Don de; Tanner, Marcel

doi:10.4081/gh.2012.147

Cited by 7 publications

(9 citation statements)

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“…The editorial goes hand in hand with three examples, giving a flavour of the potential of geospatial tools, including virtual globes, for visualizing complex public health issues (see Fig. 3.6) (Krieger et al, 2012;Maire et al, 2012;Winkler et al, 2012). The key feature of these vHealth papers is that they contain a link to a video, which can be readily downloaded free of charge or directly viewed on any personal computer connected to the Internet.…”

Section: A New Generation Of 'Vhealth' Papersmentioning

confidence: 99%

“…Importantly, two of these vHealth papers use Google Earth applications. These are briefly summarized here (Krieger et al, 2012;Maire et al, 2012). Krieger et al (2012) pursued numerous integrated impact assessments of projects with particular emphasis on the health impacts on local communities of large-scale industrial projects in the developing world.…”

Section: A New Generation Of 'Vhealth' Papersmentioning

confidence: 99%

“…While the current video is designated for senior management of the international finance cooperation and development banks, it can be readily adapted to other stakeholders, including non-literate communities that will be affected by the project. Maire et al (2012) provided an overview of the development of the Health Resources Allocation Model (HRAM) dating back to the late 1980s, in which they explain how this eLearning tool has been widely and successfully used by health cadres and scientists. Indeed, the HRAM is a powerful tool for introducing the basic concepts of rational districtbased health planning and systems thinking under resources constraints.…”

Section: A New Generation Of 'Vhealth' Papersmentioning

confidence: 99%

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Virtual globes and geospatial health.

Saarnak¹,

Stensgaard²,

Bergquist³

et al. 2013

Geographic Health Data: Fundamental Techniques for Analysis

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other infectious diseases that depend on intermediate hosts. These issues are discussed and a set of conclusions drawn from the examples is presented. 3.2 How It All Started A virtual globe is essentially a three-dimensional (3-D) representation of the earth, usually based on satellite imagery, upon which various types of information with a spatial character can be superimposed. It provides the users with the ability to append their own data, to share the added data layer with other interested users and to freely move around in the virtual environment by zooming in and out, and changing the position and viewing angle. In 1998, Al Gore, then Vice President of the USA, made a speech at the California Science Center in Los Angeles, where he presented a vision of a Digital Earth, in which satellite imagery, databases and georeferenced information were

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Section: A New Generation Of 'Vhealth' Papersmentioning

confidence: 99%

Section: A New Generation Of 'Vhealth' Papersmentioning

confidence: 99%

Section: A New Generation Of 'Vhealth' Papersmentioning

confidence: 99%

See 1 more Smart Citation

Virtual globes and geospatial health.

Saarnak¹,

Stensgaard²,

Bergquist³

et al. 2013

Geographic Health Data: Fundamental Techniques for Analysis

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“…These goals have largely been achieved (Utzinger at al., 2011) and we are now engaged in promoting novel ideas such as presentations in the form of mashups of video and text, introduced this year as a section of the journal under the banner of "vHealth" (visual health) (Bergquist and Tanner, 2012). This format is available in the online version of the journal Maire et al, 2012;Winkler et al, 2012).…”

Section: Geospatial Technologies and Neglected Tropical Diseases (Ntds)mentioning

confidence: 99%

Mapping and modelling neglected tropical diseases and poverty in Latin America and the Caribbean

Malone

Bergquist²

2012

Geospat Health

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“…The vHealth approach does not aspire to replace normal-length articles, but we believe that the traditional transmission of information will improve when complemented with a contextual mode envisioning presentations in a way that can be understood by all stakeholders. For example, the Health Resources Allocation Model (HRAM) by Maire et al (2012), one of the presentations in the vHealth section inaugurated in this issue, provides a novel approach for teaching and training of health planners and health systems specialists. It is so far the only comprehensive tool for rational, sub-national health planning under resource constraints and the generation of relevant health systems research in a given social-ecological setting.…”

mentioning

confidence: 99%

Visual approaches for strengthening research, science communication and public health impact

Bergquist¹,

Tanner

2012

Geospat Health

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Visual approaches for strengthening research, science communication and public health impactGeospatial Health was launched as a forum for the publication of essential epidemiological information derived from the application of geographical information systems (GIS), global positioning systems (GPS), spatial statistics and remote sensing from Earth-orbiting satellites. The above-mentioned tools were developed in parallel over the last 50 years and were originally used for diverse applications with little in common. For example, GIS evolved as an extension of map-making, while remote sensing and GPS both emanate from rocket and satellite technology. The swerve that brought these disciplines together was neither shared goals nor cross-sectional appeal but the unrelated, parallel scientific advances resulting in the personal computer and the Internet. Indeed, the first GIS packages required mainframe computing, but increased computing power and plummeting hardware prices helped the Environmental Systems Research Institute (ESRI) emerge and sustain its leading role in GIS software. The release of ESRI's first desktop mapping system with a graphical user interface (ArcView) in 1992 marked the start of the process that eventually made GIS sufficiently user-friendly to allow use by individual researchers without computer expertise.Remote sensing was primarily intended for military intelligence, but the technology rapidly became the sine qua non for meteorology and cartography. It took, however, a surprisingly long time until its obvious possibilities for the medical and veterinary fields were realized. While GIS dramatically increases the amount of information that can be contained and manipulated in a map, remote sensing adds information on the landscape, e.g. surface temperature, humidity, rainfall, elevation, land cover, vegetation index etc., all parameters of direct importance for epidemiological research. Besides providing increasingly accurate measures for these parameters for local settings around the world, the inherent revisit aspect of the satellites supplying the imagery adds a nontrivial, temporal aspect to data collection. Although the development of supporting computer hard-and software, has grown exponentially, epidemiological research papers did not appear regularly until the late 1980s. Today, however, these technologies are well-known tools of the trade and few scientists working in the field of public and global health can manage without them. We, and all those participating in the editorial work for Geospatial Health, take pride in being part of the activities that have resulted in mounting reliance on cartographic representation of the burden of communicable diseases, including spatial data on the vectors and intermediate hosts of parasitic infections. In parallel with the powerful developments in the field of descriptive epidemiology, analytical approaches have gained importance owing to the growing need for surveillance due to the current, rapid environmental changes (land use and climate change)...

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The Health Resources Allocation Model (HRAM) for the 21st century

Cited by 7 publications

References 1 publication

Virtual globes and geospatial health.

Virtual globes and geospatial health.

Mapping and modelling neglected tropical diseases and poverty in Latin America and the Caribbean

Visual approaches for strengthening research, science communication and public health impact

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