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Taking care with GIS: Status and Prospects
GISdevelopment Staff
While
the developed countries are taking initiatives to establish a well-organised GIS
based health care system developing countries are still facing increasingly
diverse and complex health problems
Recently, the United Nation's Human Development Report, 2000
was released which has praised India's human rights endeavours. In the same
report, it has also been stated that the health profile of the country is
disturbing. Totally, 4,100,000 people below the age of 50 have HIV/AIDS. In
1997, the country had 275 cases of malaria per 1,000 people as compared to 163
in Thailand. Nearly 16 per cent of Indians are not expected to live to be 40, 44
per cent of adults are illiterate and 25 per cent are without access to proper
healthcare. Going through the above statistics as putout by the UNDP, how much
satisfaction can we get regarding our country's health?
Have a look at
the most neglected parts of India, the rural areas that consist of more than 600
million people in total, but are provided the least infrastructural facilities.
Most of the so-called 'rural health centres' are located far away from metalled
roads, without electricity, without telecommunication and also without
sufficient trained manpower. The medical students at the graduation level have
to take the oath as a tradition since the Greek period: "Whatsoever house I
enter, there with I so far the benefit of the sick, refraining form all doing
and corruption…" Do they keep this oath in future? Not always. The dearth of
rural health centres is well-known to the young medical practitioners who forget
their oath once they get an offer to serve the rural health centres far away
from the sophisticated urban hub. As a result, the rural health centres usually
suffer from lack of doctors and any kind of basic medical facilities.
At
this stage of medical achievements, when the researchers are creating the map of
chromosomes, the doctors are detecting the diseases with the help of computers
and the doctors in the US are using 'biochip', many people, especially from
rural India die because of unavailability of proper medical facilities. Besides
the lack of willingness from the practitioners' side, the paucity of health
related data is a major handicap in conducting health studies in underdeveloped
countries like ours, having overburden of population and financial constraints.
It is the lack of information that creates a vicious circle between the planning
and development processes in the field of health management. The researchers in
the field of medical geography may not also avoid their responsibility in that
respect.
If health is wealth Geographers have a long history
of applying geographical and cartographical analysis techniques to health
problems. More than a century ago, epidemiologists and other medical scientists
began to explore the potential of maps for understanding the spatial dynamics of
disease. Medical geography, or spatial analysis, was taken up in the early 19th
century by physicians attempting to understand the relationship between
environmental conditions and the occurrence of disease. Dr. John Snow made the
hypothesis that cholera might be spread by infected water supplies more than a
century ago, using maps to demonstrate in a striking fashion the spatial
correlation between cholera deaths and contaminated water supplies in the area
of Soho in 1854. But, in India, the studies in the geography of health appear to
be confined to studies in the spatial patterning of communicable diseases,
especially of diseases like cholera or deficiency diseases particularly those
associated with prevailing nutritional/malnutritional levels, whereas the
researches in non-communicable diseases are lacking because published data on
such diseases are difficult to come by. Therefore, it is very unfortunate that
the changing patterns of health associated with hazards of development,
demographic transition and changing lifestyles have failed to draw the attention
of Indian geographers.
Looking for a new horizon
Still
now, most texts of health surveillance recommend the use of pins to locate cases
of notifiable diseases on a map following the way shown by John Snow long back.
A variety of maps of origin-destination data are used to assess referral
patterns of cancer patients in the northwestern part of the state of Washington,
USA. Several simple area-based cancer maps have been produced in the European
countries, on the basis of municipality data. Ecological approach has used
incidence data in the municipalities of Finland in evaluation of the effects of
the Chernobyl fallout on the risk of childhood leukaemia and also in evaluation
of the association between mutagenicity in drinking water and gastrointestinal
and urinary tract cancers. A similar methodology has also been applied in the
Cancer Atlas of Northern Europe project which covers Finland, Sweden, Norway,
Iceland, Denmark, Germany, Poland, Luthuania, Latvia, Estonia, Belarus and
western parts of Russia.
The Programme HealthMap was initially created
in 1993 as a joint WHO/UNICEF Programme based within the Department of
Communicable Diseases to establish a GIS to support management and monitoring of
the Guinea Worm Eradication Programme. Both spatial and temporal changes in
environmental conditions are important determinants of vector-borne disease
transmission. The remote sensing data on climatic conditions, vegetation etc.
which are directly or indirectly related to the diseases, are combined with
epidemiological data to predict vector occurrences. Satellite imageries are
useful for identifying environmental changes, predicting areas and periods of
high transmission. The National Aeronautics and Space Administration (NASA)
initiated the Biospheric Monitoring and Disease Prediction Project, the aim of
which was to determine the capability of remotely-sensed data in identifying and
monitoring environmental factors that influence malaria vector population.
The Centre for Health Applications of Aerospace Related Technologies (CHAART) is
a branch of the Earth Science Division at the NASA Ames Research Centre. Since
1985, CHAART has undertaken a number of projects involving the application of
remote sensing and geographic information systems technology to human health
problems, including studies of Filariasis in the Nile Delta, Lyme Disease in the
Northeast US and Schistosomiasis in China. The goal was to develop a hydrologic
model that could be used to identify risk factors for disease transmission. The
GIS database included topography, irrigation networks and natural drainage
systems, demographics, location of residences and work areas, snail habitats and
night-soil storage sites, snail population densities, and disease incidence. It
was determined that risk was largely dependent on age and housing location.
With the development of the geographic database, models and analysis procedures,
the systems are being used as an important research tool for tropical
vector-borne diseases. Now, GIS is being introduced to control tropical diseases
like sleeping sickness, Chagas disease, Leishmaniasis, schistosomiasis, guinea
worm and malaria. A system has been developed in New Zealand for the national
control of foot and mouth diseases; it proves how geographic databases and
disease epidemiology models can be integrated into a decision support system.
The potential application of GIS to health in South Africa can be divided into a
macro level and micro level. Both these two levels can be applied to health
issues such as the provision of health infrastructure, mapping of disease,
investigation of the spatial dynamics of the communicable environmental and
infectious disease transmission and also to the modelling of health service
utilisation and disease control intervention.
The South Australian
Health Commission has prepared the social health atlas of South Australia which
aims to ensure that the best possible information is available to the public and
those providing health services as to the state of health of South Australians.
The second edition of the map, recently released, performs an important role by
publishing a wide range of information in an accessible format. One hundred and
fifty nine maps in the atlas describe the socioeconomic, health status and
health service use characteristics of the South Australian population for
postcode areas and Statistical Local Areas in Metropolitan Adelaide and
Statistical Local Areas and Health Service Regions in country south Australia.
Other maps show the location across the State of a selection of health and
welfare services.
Activities under WHO Roll Back Malaria (RBM)
initiative have taken shape in Asia. In Nepal, Indonesia, India, Bangladesh, Sri
Lanka and the Philippines, situation analyses have been made and future
programmes have been prepared for Roll Back Malaria for the year 2000. In some
countries, pilot projects for restricted areas are being launched on a trial
basis. Information gained on various aspects of the pilot project implementation
including that obtained from implementing partners will be used as a basis for
planning in order to move health cares closer to the communities during the
implementation of the RBM programmes in the malaria endemic areas.
Miles to go
While the developed countries are taking
initiatives to establish a well-organised GIS based health care system, the
developing countries are still facing increasingly diverse and complex problems
mainly due to rapidly growing populations and severe resource constraints.
Rational allocation of scarce resources is difficult and is dependent on the
size of catchment populations. Expensive hospital-based health care systems are
protected by strong vested interests, reorientation is mainly rhetorical, and
primary health care is making only slow progress. The formulation of proper GIS
faces some constraints which include problems in the flow of information from
the field, including delays, non-reporting, non-response, and a generally
unsatisfactory quality of generated data from primary sources.
In the
countries like India where population is heterogeneous with ethnic, religious
and socioeconomic differences influencing illness concepts and demands for
health care, the only available information on the local population is the
Census of Population, normally conducted every 10 years, which does not coincide
with the actual catchment populations served by health facilities. The health
information system should reflect these circumstances, but available data are
almost exclusively about care-seeking clients and their service utilisation. A
need exists for a more precise and complete description of the catchment
population and health situation. It is important to generate this information at
village, community, and division levels.
The improvement of health
scenario must be supported by the proper allocation of spatial and temporal
problems of health, map is the foremost necessity, which might get much more
accelerated with the support of advanced GIS-based mapping techniques. Studies
in geography of health need to adopt a welfare approach in order to improve the
quality of life. In this context, the interplay of social, economic and
political processes in the inquity and inequality in health care services, the
changing environment and the resultant environmental hazards need to be
researched intensively to plan for the effective health management strategies in
the changing environmental scenario.
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