Geospatial Documentation and Geo-Database Developments for Health Facilities in Birnin Kebbi Metropolis, Kebbi State, Nigeria (original) (raw)

Geospatial Mapping of Health Facilities in Yola, Nigeria

IOSR Journal Of Environmental Science, Toxicology And Food Technology, 2013

This paper investigates the spatial distribution of health facilities and their attribute information by creating a database and producing a visual map of these facilities in Yola town. Twelve facilities were mapped consisting of hospitals, clinics, maternities and dispensaries using handheld Global Positioning Systems (GPS) and satellite imageries provided by Google Maps TM. Additional information comes from questionnaires issued to the facility management and that serves as attribute data for both the database and visual map. Both attribute and spatial data are linked in AutoCad and ArcGIS environments to allow querying of information. Results show that 12 health facilities exist, of which 10 are public and 2 are private. Although the facilities are fairly distributed, their standards differ and that ignores the pattern of distribution. We hereby used the population data of 1993 and 2006 and the World Health Organisation (WHO) criterion for location of new health facilities in developing countries to propose 2 new sites. It is suggested here that, only if the standards are improved and the proposed ones built that Yola town can have adequate health facilities to the standard of WHO. The database produced would undoubtedly assist in management, planning and fostering new directions to health administration. The visual map produced shows locations of health facilities, road linkages and capacity of each is also an important source of information on health matters. The visual map if provided to the public can reduce the risk of taking patients to wrong hospitals due to not having prior knowledge of their capacities or opening hours. The satellite and information technology therefore can provide ease in management of health facilities and planning for future.

Analysis of Spatial Distribution of Healthcare Facilities Using Geographic Information System, Jema’A Local Government Area, Kaduna State

2020

Healthcare facilities form integral component of healthcare system. It is centers where preventive and curative services are provided and allow referral from simple to complex service provision. Access to healthcare is multi-dimensional but one can narrow it to geographical availability. Jema’a LGA is faced with serious problem healthcare facilities provision and this is not disconnected with continuous increase in population and expansion communities without corresponding investment in healthcare sector by key actors. This has resulted in congestion and overstretching of existing healthcare facilities, making accessibility difficult. However, with recent behavior of patients toward some healthcare facilities, the study aimed at analyzing the distribution of healthcare facilities in Jema’a LGA using Geographic Information System. To achieve this, Geographic coordinates of healthcare facilities were acquired by hand held Garmin ETREX. Total sampling techniques was employed and questi...

Spatial Analysis of Health Care Facilities in Babura Local Government Area of Jigawa State, Nigeria

International Journal of Geography and Environmental Management, 2018

This paper examined the spatial distribution of health care facilities in Babura local government area of jigawa state using GIS. Data were obtained from primary and secondary sources: a GPS was used to collect the coordinates of each health care facility. Data from the Ministry of Health (Jigawa State) about the location, name and types of health care facilities in the study area included one general hospital; one model primary health centre, fourteen primary health centers, one clinic, one dispensary and one health post. Population data was obtained from the National Population Commission (NPC, 2006). GIS analysis was used in analyzing the data. The analysis of nearest neighbour was done by using the extension of Arc GIS 10.1 in the spatial analyst tool and average nearest neighbour The result shows that there is less than 1% (0.01 level of significance) likelihood that the spatial pattern of the distribution of health care facilities in Babura Local Government Area is dispersed and this could be as a result of random chance. This might be as the result of the fewer number of health facilities. The research recommends that government should locate health care services close to the people as possible as distance was found to influence utilization.

SPATIAL ANALYSIS OF HEALTH CARE FACILITIES IN CALABAR METROPOLIS CROSS RIVER STATE NIGERIA

GOMBE STATE UNIVERSITY, 2022

Varying terrain characteristics, politically motivated awkward distribution, poor road connectivity, and overpopulation tend to result in spatial inequality in the distribution and accessibility to Health care facilities (HCFs) in developing countries like Nigeria. Thus, this study analyzed the spatial distribution and accessibility to health care facilities in Calabar metropolis, Cross River State, Nigeria. For this purpose, data on HCF from the Cross River State Ministry of Health were obtained. Global Positioning System (GPS) receivers were used to collect geographic coordinates of the HCFs, which were imported into the ArcGIS 10.3 version to produce relevant maps of the distribution of HCFs. The Nearest Neighbour Analysis (NNA) technique was used to determine the spatial pattern of the physical health care facilities. The spatial accessibility to HCFs was determined using the Time travelled to HCFs and the distance between settlements and HCFs. It was observed that wards 8,9,3,5 in Calabar municipality and ward 12 in Calabar South Local Government Area (L.G.A) have low levels of accessibility to HCFs because the distance traveled to HCFs is greater than the World Health Organization (WHO) standard of 4km. However, patients inwards 4,10,6 in Calabar municipality were highly accessible to HCFs. This is the same observation in wards 9 and 11 in Calabar south L.G.A since the distance traveled to most of the neighboring HCFs is less than 4km. The NNA showed a critical value of-2.808889 at 0.00497significance level, indicating the distribution pattern of health care facilities in Calabar Metropolis to be significantly clustered.

Spatial Analysis of Health Facilities in Suleja, Niger State, Nigeria

Ethiopian Journal of Environmental Studies and Management, 2015

Health undoubtedly is a prerequisite for global liveability of man. Despite government policies on the provision and delivery of healthcare to all, the spatial distribution of such health facilities are subject to a number of social and commercial influences that do not take into account the healthcare needs of the population. The objective of this study was to map out the location of health facilities in Suleja, Niger State. The locations of all hospitals and clinics in the study area were identified and mapped using a combination of spatial GIS tools. The locational quotient was utilised to visualise spatial distributions and degree of concentration of all thirty-seven (37) identified health facilities. Nearest Neighbourhood Analysis (NNA) was used to establish the distribution pattern of hospitals and clinics in the study area. Hospitals showed evidence of dispersed distribution with a z-score of 5.63 implying a significant level of accessibility, while the pattern of clinic location appears to indicate an insignificant level of accessibility with a z-score of 0.43.The research proffer recommendations considering healthcare needs of the population provision for future health facilities and frequent assessment of existing health facilities by concerned health agencies/ministries.

Geospatial Distribution of Health Centers in Dass Local Government Area of Bauchi State, Using Geographic Information System (GIS) Tools

2020

This paper examined the spatial distribution of health care facilities in Dass local government area of Bauchi state using GIS tools. Data were obtained from primary and secondary sources: a GPS was used to collect the coordinates of each health care facility. Data from the Ministry of Health (Bauchi State) about the location, name and types of health care facilities in the study area included one general hospital; one model primary health centre, fourteen primary health centers, one clinic, one dispensary and one health post. Population data was obtained from the National Population Commission (NPC, 2006). GIS analysis was used in analyzing the data. The analysis of nearest neighbour was done by using the extension of Arc GIS 10.5 in the spatial analyst tool and average nearest neighbour. The result shows that there is less than 1% (0.01 level of significance) likelihood that the spatial pattern of the distribution of health care facilities in Dass Local Government Area is dispersed and this could be as a result of random chance. This might be as the result of the fewer number of health facilities. The research recommends that government should locate health care services close to the people as possible as distance was found to influence utilization.

Geospatial Mapping of Health Facilities in Nangere Local Government Area of Yobe State, Nigeria

International Journal of Trend in Scientific Research and Development, 2021

This paper is aimed at mapping healthcare facilities in the Nangere Local Government Area of Yobe State. Geospatial mapping of health care facilities was achieved by taking the geographic coordinates of all the healthcare facilities in the Local Government using the Global Positioning System Garmin GPS map 76CS receiver. The data were analyzed using ArcGIS 10.8 version software. The study identified primary and secondary health care facilities without any tertiary health care facility and also without a single private hospital or clinic across the entire eleven (11) political wards of Nangere Local Government Area. The findings revealed that 46 healthcare facilities were distributed across the eleven (11) political wards in the Local Government Area. The primary health care facilities (PHC) constituted 98 % (45) while the secondary Health Care facilities (SHC) constituted 2 % (1). The average nearest neighbor summary for the study area shows the significant level and the critical level that indicates a random distribution pattern of health care facilities in the area, however, it was unevenly distributed given the concentration of health care facilities in Dazigau, Degubi, Darin, Pakarau, and Tikau while other wards were inadequately served. However, both the primary and secondary health care facilities were government-owned, the study concluded that there were inequalities in the spatial distribution of health care facilities in the Nangere Local Government Area of Yobe state, thus this disparity in the distribution of health facilities has generated different accessibility level to health care facilities in the LGA, it, therefore, recommends that; Government and the private organization should provide health care facilities in the wards that do not have enough health care facilities. This will further improve access to Health Care facilities in the study area.

Distribution of Primary Health Care Facilities in Kano Metropolis Using GIS (Geographic Information System) 1

This research examined the relevant of Geographical Information System (GIS) supporting Health planners on a micro-scale. In order to establish the usefulness of these functions, 6 core LGA`s of Kano Metropolis were selected. To accomplish the research objectives which were to create a database that could be used to analyze the type and spatial distribution of public primary health care facilities in the area? Data were obtained from primary and secondary sources; GPS was used to collect the coordinates of each healthcare facility and about 69 primary health facilities were discovered, the records from Kano State ministry of health. The map of the study area was geo referenced. The analysis was carried out with Arc View GIS 3.2a for GIS analysis and also the result shows that most of the healthcare facilities were clustered within Kano Municipal, Nassarawa, Tarauni and some part of Fagge

Geospatial analysis of healthcare facilities in Surulere Local Government Area of Lagos state

Lagos Journal of Geographic Issues, 2023

The study is an assessment of the geographical distribution of healthcare facilities in Surulere Local Government Area (LGA) of Lagos state, Nigeria. The study relates the distribution of the healthcare facilities with population, distance from waterbody, road, and elevation using Fuzzy Analytical Hierarchy Process (FAHP). The FAHP is a Multi-Criteria Decision Analysis (MCDA) that provides a multidimensional approach to essential decision-making, in this case, the optimal locations of primary healthcare centres in areas of deficits. The spatial distribution of healthcare facilities in Surulere LGA shows uneven and deficiencies in the distribution, especially in Baruwa, Bale, Irone, Obele Oniwala, Odo-Oluwa, Agunbiade, Shitta Bank Olemoh wards. While the majority of the 183 health facilities were located in-Adeniran Ogunsanya, Osho, Coker, Ipanrin and Nuru-Oniwo political wards respectively. 28 of these facilities are government owned which is a course of concern in an area dominated by middle-to-lowincome earners who cannot afford treatment in private facilities, especially if we consider that only 24 Primary Healthcare facilities are available for an area with a population of almost 700,000. The FAHP shows that the optimal location of new primary healthcare centres to meet the observed deficiencies are areas within Iponri/Eric Moore, Savage, and Adeniran Ogunsanya political wards because of their proximity to the road waterbody to aid easy access, located within areas of densely populated regions compared to surrounding areas to ensure easy and effective access to primary healthcare facilities and aid the general wellbeing of the citizenry. For effective healthcare coverage to be achieved in Surulere LGA, the paper recommends the adoption of geospatial techniques in the location and distribution of healthcare facilities.

Awareness and Geospatial Examination of Healthcare Facilities in Ogun State Nigeria: Need for Health Care Development

Proceedings of INTCESS 2022- 9th International Conference on Education & Education of Social Sciences, 2022

Spatial distribution inequity in health care facilities, including primary health care, has been recognized as a wedge towards effective delivery of such services in many countries, including Nigeria. Healthcare facilities are vehicles to attain an acceptable level of health that will enable everyone to lead a socially and economically productive life. One of the core challenges facing the Nigerian health care system is poor access to health facilities, worsened by poverty, poor road networks and transportation. The resultant consequences are high morbidity and mortality in most parts of the country, leading to low economic performance. Access serves as the bridge between availability and utilization. For Sustainable Development Goal 3, people should have access to health facilities closer to their residence. The study employed secondary data and geographic information system mapping in the investigation. The paper aimed to explore the locational distribution of existing health facilities in Ogun State and make informed recommendations for policy intervention in the study area. The study reveals that the distribution pattern of public healthcare facilities in the State is not uniform either at tertiary, secondary, or primary levels. And this scenario negates the essence of providing health care facilities within 5 kilometers distance envisaged by WHO and general health status. Densely populated health facilities were seen in local governments with high populations, industries and Local Government capitals. In contrast, others have fewer health care facilities, perhaps due to their rural and remote nature. Thus, the government needs to ensure even distribution of health facilities and motivated personnel, drugs, and deliverables in the study area to ensure optimal spatial efficiency.