The effect of spatial barriers on realised accessibility to heath services after a natural disaster

MacRae, Jayden; Kingham, Simon; Griffin, Ed

doi:10.1016/j.healthplace.2015.06.007

Cited by 6 publications

(3 citation statements)

References 26 publications

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“…Apart from rural-to-urban population typologies, emergency situations such as armed conflicts or natural disasters negatively influence spatial accessibility [28]. In these cases, either the supply side (e.g., destroyed infrastructure) or the demand side (e.g., displacement of the population) influences spatial accessibility negatively [29].…”

Section: A Spatial Notion Of Accessibilitymentioning

confidence: 99%

Driving Sustainable Development: The Power of Vehicle-Based Services in Rural Sub-Saharan Africa

Pizzinini,

D’Amico,

Götz

et al. 2023

Sustainability

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Vehicle-based services such as mobile health clinics can increase spatial accessibility in rural areas. In contrast to stationary infrastructure, vehicle-based services are flexible and can be less capital-intensive to initiate service supply. In particular, rural communities across sub-Saharan Africa experience insufficient access to essential public services necessary for sustainable human development. We consider vehicles as mobile service platforms capable of temporarily transporting service staff, goods, and functions necessary for service delivery spatially closer to rural demand locations. Despite these advantages, public authorities must perform a cost–benefit analysis before allocating resources to a vehicle-based service fleet. This paper analyzes which vehicle-based services beneficially influence the Sustainable Development Goals and quantify their potential for the sub-Saharah African region. Based on a criteria-based selection method, we parse 169 target formulations and extract a set of directly influential Sustainable Development Goals. The remaining goals are the starting point for a literature review to identify existing vehicle-based service concepts addressing the targets. Our evaluation reveals that vehicle-based services can enhance about 128 (76%) of all targets and 16 of the 17 Sustainable Development Goals. Half of these targets require the delivery of consumable goods, whereas 59 (35%) of the Sustainable Development Goal targets relate to the transportation of people, and 24 (14%) require access to a broader spectrum of functionality mounted on top of the vehicle, such as water pumps or refrigerators. In combination with publicly available data, we can identify the SDG for each African country with the greatest potential for a vehicle-based service intervention. Our approach enriches public project appraisals for systematical decision support between stationary and mobile infrastructure.

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Section: A Spatial Notion Of Accessibilitymentioning

confidence: 99%

Driving Sustainable Development: The Power of Vehicle-Based Services in Rural Sub-Saharan Africa

Pizzinini,

D’Amico,

Götz

et al. 2023

Sustainability

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“…The relevant algorithm relies on road networks [11], railway lines [12], rivers, pipelines, and electric lines. It is deployed to determine transport accessibility [13], areas of influence [14][15][16] and risk zones [17,18]. The results are presented in cartographic form.…”

Section: Introductionmentioning

confidence: 99%

A Methodology for Generating Service Areas That Accounts for Linear Barriers

Flisek

Lewandowicz

2019

IJGI

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The aim of this study was to modify an algorithm for mapping service areas, also known as access areas. The algorithm is widely applied in network analyses. Service areas are generated based on features such as road networks and base points representing selected objects or facilities. Spatial barriers in the space between road segments are not taken into account in the process of generating service areas. Such barriers include railway lines and rivers. In this study, a methodology for generating service areas that accounts for spatial barriers was proposed by designing a dedicated tool in the ModelBuilder application in ArcGIS (ESRI) software. The ModelBuilder application has limited functionality, and the developed algorithm had to be modified. The modified algorithm was verified based on spatial data from four cities. The results produced by standard analytical methods were compared with the results generated by the modified algorithm. The study demonstrated that spatial barriers decrease the size of service areas. The modified algorithm generates more reliable results than standard methods.

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“…Long-standing cultural and religious beliefs shape the population's health beliefs and resistance to speci c prevention and treatment methods [16][17][18]. The direct impact of geographical environments on health is manifested in two aspects: rst, the impairment of individual health stock, such as certain natural disasters and endemic diseases [19][20][21]; second, the impact on the accessibility of medical services due to transportation convenience [22,23]. Social upheaval can signi cantly affect national order, and in turn, it can have a negative impact on health, such as disabilities and fatalities resulting from con icts, as well as the collapse of social security and healthcare systems [24,25].In Africa, there is a lack of sanitation facilities, insu cient human resources for health care, a high incidence of communicable and non-communicable disease, and a low number of years of schooling per capita [26][27][28][29][30].…”

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confidence: 99%

Temporal and spatial deduction pattern of health poverty eradication in countries along the Belt and Road :A systematic analysis of 141 countries from 2008-2019

Lai,

Li,

et al. 2024

Preprint

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Background Among the numerous comprehensive development bottlenecks caused by multidimensional poverty, health poverty is the most fundamental and fatal one. Therefore, the eradication of health poverty is the basis for achieving the United Nations Sustainable Development Goals(SDGs) of eradicating poverty and the World Health Organization's proposal of universal health coverage. This study aims to analyze the spatial and temporal distribution patterns of health poverty and its influencing factors across countries in the Belt and Road(B&R), a region encompassing the poorest to the richest countries, and to provide a theoretical and practical basis for the subsequent development of differentiated health poverty eradication strategies. Methods Based on the theoretical framework of the three dimensions of health rights, health capabilities and health risks, this paper uses data from the World Bank's public databases and databases such as GBD2019 to select 10 corresponding indicators and uses the geometric mean method to calculate the health poverty index(HPI) of 141 countries along the B&R in the period of 2008–2019. We used 2.5% and 97.5% of each indicator as the maximum and minimum values for normalization to transform the values of on a scale of 0–1. For positive indicators(increase HPI), 0 is the best and 1 the worst, while the opposite is true for negative indicators(decrease HPI). This approach reduces sensitivity to extreme outliers in given location-years. Afterwards, this paper uses a Geographical and Temporal Weighted Regression (GTWR) model to analyze the impact of eight different factors on the HPI in each country to determine the differences in the influencing factors between countries with different HPI levels. Results From 2008 to 2019, the health poverty in B&R countries remains very high, with 29.1% of countries have an HPI greater than 0.6 in 2019. The HPI averages for high, upper-middle, lower-middle, and low-income countries in 2019 were 0.1747, 0.3676, 0.5298, and 0.6606, respectively. In terms of spatial distribution patterns, the HPI is lowest in Europe (0.0180–0.4027) and highest in Africa (0.3557–0.8820) in 2019, while intra-Asia heterogeneity is strongest (0.0778–0.7850). In terms of the trend in the temporal evolution of the HPI, most of the countries along the B&R have seen a decline in the HPI from 2008 to 2019, with only eight countries, including Greece, showing a slight increase in the HPI. But for 16 countries, including China and India, they have the largest decline in HPI (more than 0.1). The results of the GTWR model show that X2(Domestic general government health expenditure-% of GDP) is effective in mitigating the HPI in all countries and has the largest impact in low-income countries; for Asia and Africa, the coefficients of X6 (urban population-% of total population) show a shift from negative to positive from coastal areas or islands to the interior of the continent; X8 (GDP growth-annual %) is significantly correlated with the level of economic development of each country, with positive coefficients for economically developed Europe and the more rapidly developing East and Southeast Asian, and negative coefficients for the underdeveloped regions, especially in Central Africa and Central Asia. Overall, high HPI countries are more affected by different influencing factors and fluctuate more in time than low HPI countries. Conclusion Differences in HPI among the B&R countries are very large, reflecting the fact that health poverty has become a pressing global issue. The heterogeneity of health poverty between and within continents is caused by the unequal development of their social, cultural, political, and economic dimensions, and the accumulation of long-term inequalities has become an obstacle to the sustainable development of countries along the B&R. For low- and middle-income countries, the deprivation of the right to health through incapacitation remains the main cause of their high HPI. The B&R countries need to use the Health Silk Road as a link to establish vertical health assistance chains and horizontal regional mutual assistance and synergistic networks, to ultimately achieve the goal of eliminating health poverty.

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The effect of spatial barriers on realised accessibility to heath services after a natural disaster

Cited by 6 publications

References 26 publications

Driving Sustainable Development: The Power of Vehicle-Based Services in Rural Sub-Saharan Africa

Driving Sustainable Development: The Power of Vehicle-Based Services in Rural Sub-Saharan Africa

A Methodology for Generating Service Areas That Accounts for Linear Barriers

Temporal and spatial deduction pattern of health poverty eradication in countries along the Belt and Road :A systematic analysis of 141 countries from 2008-2019

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