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 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 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.

scholarly journals Monitoring of arsenic in groundwater of adjoining areas of Gorakhpur District (U.P.), India.

2018 ◽  
Vol 7 (4) ◽  
pp. 2205
Author(s):  
Vira Tripathi ◽  
Anil K. Dwivedi
Keyword(s):  
High Risk ◽  
Arsenic Contamination ◽  
Asian Countries ◽  
Major Health Problem ◽  
Major Health ◽  
Risk Zone ◽  
Arsenic In Groundwater ◽  
Groundwater Arsenic ◽  
Risk Areas ◽  
Study Sites

Arsenic contamination is an enormous worldwide problem. Groundwater arsenic contamination and sufferings of people have been reported in 20 countries in different parts of the world. The magnitude is considered highest in 5 Asian countries and the severity is in order of Bangladesh> India> Mangolia > China> Taiwan. The contamination of drinking water supplies with natural Occurring arsenic is major health problem. The paper deals estimation of arsenic in groundwater of Gorakhpur district. For this purpose, total 36 study sites were selected in urban as well as in rural area of the district, further the samples were collected from shallow bore well as from the deep bore wells. It was concluded that 5 areas are under high risk zone of arsenic, 5 areas are at the low risk and 26 areas which are monitored are in the safe zone of arsenic. High risk areas are crossing the permissible level of arsenic consumption according to WHO.

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 Myocardial Infarction Iincidence at the Northwest of Iran 2014–2018: A Spatial Analysis

2021 ◽  
Author(s):  
Mohsen Soleimani ◽  
Nasser Bagheri
Keyword(s):  
Spatial Analysis ◽  
High Risk ◽  
Incidence Rate ◽  
Rural Areas ◽  
Disease Incidence ◽  
Unmet Need ◽  
Health Concern ◽  
Local Health ◽  
Hotspot Analysis ◽  
Risk Areas

Abstract BackgroundMyocardial 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 variation of MI incidence and investigate if there is a spatial clusters in the MI patterns among rural areas in Zanjan province, Iran.Materials & MethodsThis was a retrospective and geospatial analysis study using MI incidence data from 2014-2018 from nine hospital information system databases. Three different spatial analysis methods (Spatial autocorrelation, hotspot analysis and cluster and outlier analysis) were used to identify potential clusters and high-risk areas of MI incidence at the study area.Results3,820 patients were registered at Zanjan hospitals due to MI during 2014-2018. The age-adjusted incidence rate of MI was 343 cases per 100,000 person which raised from 88 cases in 2014 to 114 cases in 2018 per 100,000 person (a 30% increase, P<0.001). Golabar region had the highest incidence rate of MI (515 cases per 100,000 person). Five hotspot and one high-high cluster were detected using spatial analysis methods.ConclusionThis showed that there is a great deal of spatial variations in the pattern of MI incidence 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 provided new evidence for policy-makers to design tailored interventions to reduce MI incidence and allocate health resource to unmet need areas.

Forecasting High-risk Areas of COVID-19 Infection Through Socioeconomic and Static Spatial Analysis

2021 ◽  
Author(s):  
Abdulaziz Alhamadani ◽  
Shailik Sarkar ◽  
Lei Zhang ◽  
Lulwah Alkulaib ◽  
Chang-Tien Lu
Keyword(s):  
Spatial Analysis ◽  
High Risk ◽  
Risk Areas

scholarly journals Spatial-temporal analysis of head injuries at the northwest of Iran 2014–2018

2021 ◽  
Author(s):  
Mohsen Soleimani ◽  
Ahmad Jalilvand ◽  
Nasser Bagheri ◽  
Roghayeh Soleimani
Keyword(s):  
Spatial Analysis ◽  
High Risk ◽  
Incidence Rate ◽  
Head Injuries ◽  
Health Concern ◽  
Injury Incidence ◽  
Risk Areas ◽  
Adjusted Incidence Rate ◽  
Northwest Of Iran ◽  
Adjusted Incidence

Abstract Background: head injuries (HI) are considered as a major public health concern across the world. This study aims to explore the incidence rate and spatial distribution of HI incidence at rural district levels in Zanjan province, Iran from 2014-2018.Materials & Methods: This study was a cross-sectional and geospatial analysis of head injury incidence pattern in rural areas at Zanjan province, Iran. Data were collected from nine hospital information system databases. Age-adjusted incidence rate and three different spatial analysis methods (Spatial autocorrelation, hotspot analysis and Anselin Local Moran's I) were used to detect the potential high-risk areas of HI incidence in the study area.Results: 4562 patients were registered at Zanjan hospitals due to HI from 2014-2018. The age-adjusted incidence rate of HI was 429 cases (95% CI, 418,443) per 100,000 person which increased from 74 cases in 2014 to 86 cases in 2018, (an 18% increase, P<0001). The highest incidence rate observed among men (80%, P<0001) and at the age group of 15-29 (44.4%, P<0001). Qarabolagh region had the highest incidence rate and five hotspot, seven coldspot, two high-high cluster and seven low-low cluster of HI incidence were detected using spatial analysis.Conclusion: This study provided an overview about the incidence rate and spatial pattern of HI incidence at finer geographical level at the northwest of Iran. This study detected high-risk areas and also showed a significant relationship between HI, geographical areas and genders, which can provide useful information for local health authorities to apply prevention programs for reducing the burden of HI in the society.

scholarly journals Spatial analysis of AIDS in the state of Maranhão: an ecological study 2011-2018

2022 ◽  
Vol 75 (1) ◽  
Author(s):  
Livia Cristina Sousa ◽  
Tereza Cristina Silva ◽  
Thaís Furtado Ferreira ◽  
Arlene de Jesus Mendes Caldas
Keyword(s):  
Information System ◽  
Spatial Analysis ◽  
High Risk ◽  
Spatial Autocorrelation ◽  
Ecological Study ◽  
Health Management ◽  
Temporal Distribution ◽  
Risk Areas ◽  
Spatio Temporal ◽  
Global And Local

ABSTRACT Objective: Analyze the spatio-temporal distribution of AIDS cases in Maranhão. Methods: Ecological study of AIDS cases in the Notifiable Diseases Information System, 2011-2018. Gross and adjusted incidences were calculated using the Baysean method; then, the Moran Global and Local Indices to observe the existence of spatial autocorrelation of the cases and for the delimitation of high and low risk clusters. Results: 6,349 cases were reported, which were distributed heterogeneously. There was an advance of cases to new areas and persistence in old areas, such as in the capital São Luís and its surroundings. The dissemination did not occur at random, with positive spatial autocorrelation, with evidence of the formation of clusters in the municipalities of São Luís, São José de Ribamar and Paço do Lumiar. Conclusion: High-risk areas have been identified and should be considered a priority for investment in health, management, and organization of health services.

scholarly journals Identifying hidden Zika hotspots in Pernambuco, Brazil: A spatial analysis

2021 ◽  
Author(s):  
Laís Picinini Freitas ◽  
Rachel Lowe ◽  
Andrew E. Koepp ◽  
Sandra Valongueiro Alves ◽  
Molly Dondero ◽  
...  
Keyword(s):  
Spatial Analysis ◽  
High Risk ◽  
Infectious Diseases ◽  
Economic Inequality ◽  
Northeast Brazil ◽  
Spatial Scan Statistic ◽  
Scan Statistic ◽  
Risk Areas ◽  
Spatial Scan ◽  
Risk Reporting

AbstractNortheast Brazil has the world’s highest rate of Zika-related microcephaly. Yet, in this hard-hit region, traditional case counts of Zika cannot accurately describe Zika risk. Reporting of Zika cases only became mandatory after its association with microcephaly in neonates, when the Zika epidemic was already declining in the region. To advance the study of the Brazilian Zika epidemic and its impacts, we identified hotspots of Zika in Pernambuco state, Northeast Brazil, using Aedes-borne diseases (dengue, chikungunya and Zika) and microcephaly data. We used the Kulldorff’s Poisson purely spatial scan statistic to detect low- and high-risk clusters and combined the results to identify the municipalities most affected by the Zika epidemic. Municipalities were classified as hotspots if they were part of any high-risk cluster, and classified according to a gradient of Zika burden during the epidemic, considering the strength of the evidence. In Pernambuco, officials confirmed 123,934 dengue cases, 167 Zika cases, and 32,983 chikungunya cases between 2014-2017, and 800 microcephaly cases between 2015-2017. We identified 26 Aedes-borne diseases clusters (11 high-risk), and 5 microcephaly cases clusters (3 high-risk). Combining the results, sixty-three out of 184 municipalities were identified as hotspots for Zika. The northeast of Pernambuco and the Sertão region were hit hardest by the Zika epidemic. The first is the most populous area, while the second has one of the highest rates of social and economic inequality in Brazil. The identification of Sertão as a Zika hotspot was only possible because the clusters results were combined. The under-reporting of acute infectious diseases is expected to be higher in poor areas. Therefore, using only Aedes-borne data does not correctly identify the high-risk areas. We successfully identified hidden Zika hotspots using a simple methodology combining Aedes-borne diseases and microcephaly information.

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