scholarly journals Spatial analysis in the identification of COVID-19 risk areas as a tool for public management in Juliaca, Perú

2021 ◽  
Vol 8 (2) ◽  
pp. 30-38
Author(s):  
Vitaliano Enríquez-Mamani ◽  
Nestor Bolívar-Espinoza ◽  
Julio Rumualdo Gallegos-Ramos ◽  
Julio Cesar Laura-Huanca ◽  
Grover Marín-Mamani ◽  
...  
Keyword(s):  
Spatial Analysis ◽  
Public Management ◽  
Risk Areas

Risk areas for Human Visceral Leishmaniosis 2007–2018: A temporal and spatial analysis in Ceará, Brazil

2021 ◽  
Author(s):  
Kellyn Kessiene de Sousa Cavalcante ◽  
Jarier de Oliveira Moreno ◽  
Reagan Nzundu Boigny ◽  
Francisco Roger Aguiar Cavalcante ◽  
Caroline Mary Gurgel Dias Florêncio ◽  
...  
Keyword(s):  
Spatial Analysis ◽  
Risk Areas ◽  
Temporal And Spatial ◽  
Visceral Leishmaniosis

scholarly journals Spatial and temporal analysis of myocardial infarction incidence in Zanjan province, Iran

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mohsen Soleimani ◽  
Nasser Bagheri
Keyword(s):  
Myocardial Infarction ◽  
Spatial Analysis ◽  
High Risk ◽  
Incidence Rate ◽  
Temporal Analysis ◽  
Analysis Methods ◽  
Spatial And Temporal Analysis ◽  
Risk Areas ◽  
Adjusted Incidence Rate ◽  
Adjusted Incidence

Abstract Background Myocardial Infarction (MI) is a major important public health concern and has huge burden on health system across the world. This study aimed to explore the spatial and temporal analysis of the incidence of MI to identify potential clusters of the incidence of MI patterns across rural areas in Zanjan province, Iran. Materials & methods This was a retrospective and geospatial analysis study of the incidence of MI data from nine hospitals during 2014–2018. Three different spatial analysis methods (Spatial autocorrelation, hot spot analysis and cluster and outlier analysis) were used to identify potential clusters and high-risk areas of the incidence of MI at the study area. Results Three thousand eight hundred twenty patients were registered at Zanjan hospitals due to MI during 2014–2018. The overall age-adjusted incidence rate of MI was 343 cases per 100,000 person which was raised from 88 cases in 2014 to 114 cases in 2018 per 100,000 person-year (a 30% increase, P < 0.001). Golabar region had the highest age-adjusted incidence rate of MI (515 cases per 100,000 person). Five hot spots and one high-high cluster were detected using spatial analysis methods. Conclusion This study showed that there is a great deal of spatial variations in the pattern of the incidence of MI in Zanjan province. The high incidence rate of MI in the study area compared to the national average, is a warning to local health authorities to determine the possible causes of disease incidence and potential drivers of high-risk areas. The spatial cluster analysis provides new evidence for policy-makers to design tailored interventions to reduce the incidence of MI and allocate health resource to unmet need areas.

scholarly journals Spatial Distribution of Breast Cancer in Sudan 2010-2016

2019 ◽  
Author(s):  
Marwa Maweya Abdelbagi Elbasheer ◽  
Ayah Galal Abdelrahman Alkhidir ◽  
Siham Mohammed Awad Mohammed ◽  
Areej Abuelgasim Hassan Abbas ◽  
Aisha Osman Mohamed ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Spatial Distribution ◽  
Spatial Analysis ◽  
High Risk ◽  
Geographical Information ◽  
Risk Level ◽  
Histopathological Diagnosis ◽  
Cross Sectional ◽  
Distribution Maps ◽  
Risk Areas

AbstractBackgroundBreast cancer is the most prevalent cancer among females worldwide including Sudan. The aim of this study was to determine the spatial distribution of breast cancer in Sudan.Materials and methodsA facility based cross-sectional study was implemented in eighteen histopathology laboratories distributed in the three localities of Khartoum State on a sample of 4630 Breast Cancer cases diagnosed during the period 2010-2016. A master database was developed through Epi Info™ 7.1.5.2 for computerizing the data collected: the facility name, type (public or private), and its geo- location (latitude and longitude). Personal data on patients were extracted from their respective medical records (name, age, marital status, ethnic group, State, locality, administrative unit, permanent address and phone number, histopathology diagnosis). The data was summarized through SPSS to generate frequency tables for estimating prevalence and the geographical information system (ArcGIS 10.3) was used to generate the epidemiological distribution maps. ArcGIS 10.3 spatial analysis features were used to develop risk maps based on the kriging method.ResultsBreast cancer prevalence was 3.9 cases per 100,000 female populations. Of the 4423 cases of breast cancer, invasive breast carcinoma of no special type (NST) was the most frequent (79.5%, 3517/4423) histopathological diagnosis. The spatial analysis indicated as high risk areas for breast cancer in Sudan the States of Nile River, Northern, Red Sea, White Nile, Northern and Southern Kordofan.ConclusionsThe attempt to develop a predictive map of breast cancer in Sudan revealed three levels of risk areas (risk, intermediate and high risk areas); regardless the risk level, appropriate preventive and curative health interventions with full support from decision makers are urgently needed.

scholarly journals Spatial analysis of dengue hemorrhagic fever in Talaud Islands regency

2020 ◽  
Vol 8 (1) ◽  
pp. 104
Author(s):  
Chreisye K. F. Mandagi ◽  
Angela F. C. Kalesaran ◽  
Febi K. Kolibu
Keyword(s):  
Spatial Analysis ◽  
Population Density ◽  
Dengue Hemorrhagic Fever ◽  
Secondary Data ◽  
Hemorrhagic Fever ◽  
Spatial Description ◽  
District Health ◽  
Study Approach ◽  
Spatial Risk ◽  
Risk Areas

Background: The number of dengue hemorrhagic fever (DHF) cases in Indonesia from January to February 2016 was 8,487 with 108 deaths. DHF is an infectious disease that continues to increase from 2014 until 2016 in Manado city. DHF cases in Talaud Islands Regency from 2014 to 2016 were 143 cases. Regional spatial analysis would simplify the distribution of DHF cases in high-risk areas. To be aware of the DHF outbreak cycle, it is necessary to model spatial risk factors based on geographic information systems (GIS) to tackle and eradicate DHF cases by region.Methods: This study aimed to analyze the spread of DHF in Talaud regency based on age, sex, population density and area height. The design of this research is qualitative analytic by using an ecological study approach. The research scope was 19 districts in Talaud regency. Secondary data are used which consists of case number, age, sex, population density, and area height taken from the Talaud district health office with 66 DHF cases in 2018-2019 and analyzed using the GIS approach through spatial analysis.Results: Based on the number of DHF cases that is most in the age group of 5-11 years. Male gender is more likely to suffer from DHF than female. Spatial description of the condition of the altitude in the Talaud Islands regency at risk of suffering from DHF is>50 meters above sea level. Spatial description of population density with most DHF cases is not densely populated area with less than 1,620 inhabitants per km.Conclusions: The health office of Talaud islands regency needs to actively promote health by providing information about eradicating mosquitoes.

scholarly journals Spatial analysis of hepatobiliary abnormalities in a population at high-risk of cholangiocarcinoma in Thailand

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Kavin Thinkhamrop ◽  
Apiporn T. Suwannatrai ◽  
Nittaya Chamadol ◽  
Narong Khuntikeo ◽  
Bandit Thinkhamrop ◽  
...  
Keyword(s):  
Spatial Analysis ◽  
High Risk ◽  
Screening Program ◽  
Care Program ◽  
Population Based ◽  
Northeast Thailand ◽  
Survival Prognosis ◽  
Healthcare Facilities ◽  
History Of ◽  
Risk Areas

Abstract Cholangiocarcinoma (CCA) is a serious health challenge with low survival prognosis. The liver fluke, Opisthorchis viverrini, plays a role in the aetiology of CCA, through hepatobiliary abnormalities: liver mass (LM), bile duct dilation, and periductal fibrosis (PDF). A population-based CCA screening program, the Cholangiocarcinoma Screening and Care Program, operates in Northeast Thailand. Hepatobiliary abnormalities were identified through ultrasonography. A multivariate zero-inflated, Poisson regression model measured associations between hepatobiliary abnormalities and covariates including age, sex, distance to water resource, and history of O. viverrini infection. Geographic distribution was described using Bayesian spatial analysis methods. Hepatobiliary abnormality prevalence was 38.7%; highest in males aged > 60 years (39.8%). PDF was most prevalent (20.1% of males). The Standardized Morbidity Ratio (SMR) for hepatobiliary abnormalities was highest in the lower and upper parts of the Northeast region. Hepatobiliary abnormalities specifically associated with CCA were also more common in males and those aged over 60 years and distributed along the Chi, Mun, and Songkram Rivers. Our findings demonstrated a high risk of hepatobiliary disorders in Northeast Thailand, likely associated with infection caused by O. viverrini. Screening for CCA and improvement of healthcare facilities to provide better treatment for CCA patients should be prioritized in these high-risk areas.

The ‘return to community’

2009 ◽  
Vol 45 (4) ◽  
pp. 433-444 ◽  
Author(s):  
Barbara Fawcett ◽  
Maurice Hanlon
Keyword(s):  
Spatial Analysis ◽  
Social Entrepreneurship ◽  
Public Management ◽  
Human Services ◽  
New Public Management ◽  
Third Way ◽  
Human Service Professionals ◽  
New Public ◽  
Decision Making Processes ◽  
The Government

In Australia and the United Kingdom over the past two decades, the way human service professionals have been involved in ‘communities’, whether defined by ‘place’, ‘interest’ or ‘exclusion’, has varied with the political complexion of the government in power. This has resulted in both opportunities for and constraints on human services practice and community participation. In this article, the terminology and the conceptual frames associated with work both in and with communities are critically scrutinized. However, it is also contended that spatial analysis and social entrepreneurship can enable those working in the field to respond productively to the New Public Management and ‘Third Way’ approaches that have shaped the policy context of human services practice. It is argued that a form of spatial analysis and of social entrepreneurship can be used to facilitate meaningful participation in decision-making processes in a variety of communities and to re-forge social connections at a range of levels.

Potential for arsenic contamination of rice in Bangladesh: spatial analysis and mapping of high risk areas

2006 ◽  
Vol 6 (4/5/6) ◽  
pp. 298 ◽  
Author(s):  
Zev Ross ◽  
John M. Duxbury ◽  
Stephen D. DeGloria ◽  
Debi Narayan Rudra Paul
Keyword(s):  
Spatial Analysis ◽  
High Risk ◽  
Arsenic Contamination ◽  
Risk Areas

scholarly journals SPATIAL ANALYSIS OF BRAIN AND OTHER CNS CANCERS INCIDENCE IN IRAQ DURING 2000-2015

2020 ◽  
Vol 20 (3) ◽  
pp. 27-34
Author(s):  
Muzahem Mohammed AL-Hashimi ◽  
Ahmed Naziyah Alkhateeb
Keyword(s):  
Spatial Analysis ◽  
High Risk ◽  
Spatial Clustering ◽  
Incidence Rates ◽  
Statistical Tools ◽  
Risk Areas ◽  
Cold Spots ◽  
The Government ◽  
Spatial Outliers ◽  
The Brain

Brain and other CNS cancers have evidenced increase in Iraq over the study period (2000-2015). Spatial variation of brain and CNS cancers in Iraq at the district level has not been explored. This study aimed to explore the spatial patterns of the Age-Standardized Incidence Rates (ASIRs) of brain and CNS cancers throughout Iraq (except Kurdish region) during 2000-2015 using spatial autocorrelation analyses. Data were obtained from the Iraqi Cancer Registry. The ASIRs were calculated according to geographical region (provinces and districts) for each period (2000-2004, 2005- 2009, and 2010-2015). spatial statistical tools were employed to evaluate hotspots, cold spots, spatial clustering and outliers for each period. Results showed a spatial correlation with hotspots, cold spots, and detecting spatial outliers. This study identified 7 districts as high-risk areas for brain and CNS cancers during 2010-2015,  including  Al-Sadir, Al-Kadhimiyah, Adhamia, Al-Karkh, Al-Rissafa, and Al-Madain districts in Baghdad province) and southern region (Abu-Al-Khaseeb district in Al-Basrah provinces, and we have evidenced an increase of brain and CNS cancers incidence rates during 2010-2015. The government efforts should focus on those regions, and the factors related to the spatial pattern of the brain and CNS cancers incidence in Iraq should be investigated.

scholarly journals Geoprocessing and spatial analysis for identifying leptospirosis risk areas: a systematic review

2020 ◽  
Vol 62 ◽  
Author(s):  
Isabela Pereira de Oliveira Souza ◽  
Marlene Salete Uberti ◽  
Wagner de Souza Tassinari
Keyword(s):  
Systematic Review ◽  
Spatial Analysis ◽  
Risk Areas
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