Assessing Spatial Accessibility to Maternity Units in Shenzhen, China

Song, Peige; Zhu, Yun; Mao, Xi; Li, Qi; An, L.

doi:10.1371/journal.pone.0070227

Cited by 18 publications

(15 citation statements)

References 24 publications

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“…In recent years, various methods including population-to-provider ratios, the minimum distance method, the 2-step floating method, and the gravity method, along with some modifications and extensions of these original methods[ 1 – 3 ] have been proposed to identify underserved or overserved areas by calculating access to health resources and pinpointing regions where service provision should be increased or reduced[ 4 – 6 ].…”

Section: Introductionmentioning

confidence: 99%

Using the Fusion Proximal Area Method and Gravity Method to Identify Areas with Physician Shortages

et al. 2016

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ObjectivesThis paper presents a geographic information system (GIS)-based proximal area method and gravity method for identifying areas with physician shortages. The innovation of this paper is that it uses the appropriate methods to discover each type of health resource and then integrates all these methods to assess spatial access to health resources using population distribution data. In this way, spatial access to health resources for an entire city can be visualized in one neat package, which can help health policy makers quickly comprehend realistic distributions of health resources at a macro level.MethodsFirst, classify health resources according to the trade areas of the patients they serve. Second, apply an appropriate method to each different type of health resource to measure spatial access to those resources. Third, integrate all types of access using population distribution data.ResultsIn case study of Shanghai with the fusion method, areas with physician shortages are located primarily in suburban districts, especially in district junction areas. The result suggests that the government of Shanghai should pay more attention to these areas by investing in new or relocating existing health resources.ConclusionThe fusion method is demonstrated to be more accurate and practicable than using a single method to assess spatial access to health resources.

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Section: Introductionmentioning

confidence: 99%

Using the Fusion Proximal Area Method and Gravity Method to Identify Areas with Physician Shortages

et al. 2016

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“…Shenzhen is a coastal region of China that has expanded meteorically, from a village of 30,000 people in 1978 to a large city of more than 10 million people in 2010 [ 32 ]. The floating population is larger than the registered permanent population of this city.…”

Section: Discussionmentioning

confidence: 99%

The evaluation and application of multilocus variable number tandem repeat analysis (MLVA) for the molecular epidemiological study of Salmonella enterica subsp. enterica serovar Enteritidis infection

Liu

Shi

et al. 2016

Ann Clin Microbiol Antimicrob

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Background: Salmonella enterica subsp. enterica serovar Enteritidis (S. Enteritidis) is one of the most prevalent Salmonella serotypes that cause gastroenteritis worldwide and the most prevalent serotype causing Salmonella infections in China. A rapid molecular typing method with high throughput and good epidemiological discrimination is urgently needed for detecting the outbreaks and finding the source for effective control of S. Enteritidis infections. Methods:In this study, 194 strains which included 47 from six outbreaks that were well-characterized epidemiologically were analyzed with pulse field gel electrophoresis (PFGE) and multilocus variable number tandem repeat analysis (MLVA). Seven VNTR loci published by the US Center for Disease Control and Prevention (CDC) were used to evaluate and develop MLVA scheme for S. Enteritidis molecular subtyping by comparing with PFGE, and then MLVA was applied to the suspected outbreaks detection. All S. Enteritidis isolates were analyzed with MLVA to establish a MLVA database in Shenzhen, Guangdong province, China to facilitate the detection of S. Enteritidis infection clusters.Results: There were 33 MLVA types and 29 PFGE patterns among 147 sporadic isolates. These two measures had Simpson indices of 0.7701 and 0.8043, respectively, which did not differ significantly. Epidemiological concordance was evaluated by typing 47 isolates from six epidemiologically well-characterized outbreaks and it did not differ for PFGE and MLVA. We applied the well established MLVA method to detect two S. Enteritidis foodborne outbreaks and find their sources successfully in 2014. A MLVA database of 491 S. Enteritidis strains isolated from 2004 to 2014 was established for the surveillance of clusters in the future. Conclusions: MLVA typing of S. Enteritidis would be an effective tool for early warning and epidemiological surveillance of S. Enteritidis infections.

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“…Many methods have been used to determine the allocation of healthcare facilities. Among others include, integrated accessibility and locationallocation models (Polo, Acosta, Ferreira, & Dias, 2015), framework for emergency and non-emergency healthcare facilities (Ahmadi-Javid, Seyedi, & S.Syam, 2017), probability metric to social programs (Radke & Mu, 2000), a two-step floating catchment area method based on geographic information system (GIS) (Kanuganti, Sarkar, & Singh, 2016;Song, Zhu, Mao, Li, & An, 2013), three-step floating catchment area (Wan, Zou, & Sternberg, 2012), multi-modal two step floating catchment area analysis (Langford, Higgs, & Fry, 2016) and a cumulative case ratio (Zinszer et al, 2014). Some scholars review the methods used.…”

Section: Adequate or Accessible Healthcare Facilitiesmentioning

confidence: 99%

Relationship between Adequate Healthcare Facilities and Population Distribution in Melaka Using Spatial Statistics

Zainol

Elsawa

2018

JDBE

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Healthcare facilities are required for all levels of a population regardless of age, race or socioeconomic status. Provision for healthcare facilities requires knowledge of population data and area for placement of healthcare facilities. The main objective of this paper is to examine the relationship between availabilities of healthcare facilities and population in districts in Melaka. This study is based on population data and distribution of healthcare facilities which were obtained from the Department of Statistics Malaysia and Malaysia Administrative Modernisation and Management Planning Unit (MAMPU). Both types of data were converted into geographic information systems (GIS) data format using QuantumGIS. Then these data were analysed using two main methods using GeoDa and ArcGIS applications. First is by using a formula set by a global standard, ISO37120 to measure healthcare facilities adequacy. Secondly, spatial statistics, Bivariate Moran's I was used to examine the relationship between population and healthcare facilities distribution. Local Moran's I was used to examine the cluster of population distribution. Findings show the allocation of healthcare facilities is sufficient according to the Malaysian Community Facilities Guideline. A high-high cluster of the population is found in Melaka Tengah District. However, the relationship between the total population and number of public hospital in-patient beds are negatively correlated. Similar results are obtained for private clinics and pharmacy. This result shows higher population distribution has less number of public hospital inpatient beds, the number of private clinics and pharmacy. However, Bivariate Moran's I analysis yields a different output for the public clinic. This result shows the high number of population distribution is positively correlated with a high number of public clinics. Thus, authorities, in this case, would be the Ministry of Health and Melaka state government should be aware of the current availability of healthcare facilities to its population in ensuring a high level of healthcare services provided in the state.

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Assessing Spatial Accessibility to Maternity Units in Shenzhen, China

Cited by 18 publications

References 24 publications

Using the Fusion Proximal Area Method and Gravity Method to Identify Areas with Physician Shortages

Using the Fusion Proximal Area Method and Gravity Method to Identify Areas with Physician Shortages

The evaluation and application of multilocus variable number tandem repeat analysis (MLVA) for the molecular epidemiological study of Salmonella enterica subsp. enterica serovar Enteritidis infection

Relationship between Adequate Healthcare Facilities and Population Distribution in Melaka Using Spatial Statistics

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