Identifying HIV distribution pattern based on clustering test using GIS software, Kermanshah, Iran

Epidemiological patterns and spatiotemporal analysis of cardiovascular disease mortality in Iran: Development of public health strategies and policies

BACKGROUND

Cardiovascular diseases (CVD) stand out as the leading cause of mortality, and the mortality rate attributed to this disease is notably elevated in Iran. Consequently, dedicated studies on CVD become imperative.

METHODS

This cross-sectional study utilized data from the death registration system of the Ministry of Health, Treatment and Medical Education of Iran. In this study, the statistical population of all people who died due to CVD in Iran were18,146, 21,945, and 24,352 individuals in the years 2017, 2018, and 2019, respectively. The primary objective is to conduct a spatiotemporal analysis of CVD mortality spatiotemporally using GIS-based methodologies. To achieve this, CVD mortality data at the township level for the years 2017, 2018, and 2019 in Iran are subjected to spatial statistical tests, including Anselin Local Moran's I and Hot Spot Analysis (Getis-Ord Gi*), as well as analytical techniques such as Mean Center (MC), (SD), and (GIS).

RESULTS

The study identified a rising trend in cardiovascular disease-related deaths in Iran, reaching (46.36% females and 53.64 males), (45.39% females and 54.61% males) and (45.67% females and 54.33% males) individuals in the years 2017, 2018, and 2019, respectively. Throughout this period, the mortality rate was higher among men, with the elderly showing the highest mortality. Notably, distinct hotspots of cardiovascular disease mortality emerged in the western, southern, and eastern regions of Iran. These findings emphasize the importance of targeted interventions and further investigation into the contributing factors in these specific geographic areas.

CONCLUSION

Geographic factors are identified as significant contributors to an elevated risk of cardiovascular disease mortality. Our study, shedding light on the spatial dynamics of the disease, offers valuable insights for decision-makers. The findings can contribute to the formulation of effective strategies and policies, aligning with a Holistic Cardiovascular Health Strategy, Gender-Based Healthcare Policies, and Spatial Planning and Environmental Policies.

Investigation of spatial pattern of apnea disorder using geographic information system (GIS)-case study of Kermanshah metropolis

Background

Apnea disorder is influenced by social and environmental factors. By assessing its hot spots and geography, the foci of this disorder and its at-risk groups can be identified for health interventions. This study was conducted to investigate the spatial pattern of apnea disorder using GIS in the Kermanshah metropolis.

Methods

In cross-sectional study was conducted in kermanshah, the statistical population were 119 people (73.95% male and 26.05% female) of Kermanshah residents, which referred to the sleep center from 2012 to 2018 due to apnea disorder. Information was collected from the records of patients referred to the Sleep Disorder Center of Farabi Hospital, which is the only service center in the west part of Iran. The statistical tests were the mean center, standard distance, Getis-Ord Gi * index, nearest neighbor index, and kernel density estimation test in GIS software.

Results

The spatial pattern of patients with apnea disorder has cluster formation in the Kermanshah metropolis. The age group of 50-54 had more apnea disorder than other age groups. In this age group, women were more prone to apnea than men. In terms of education, people with high education are more affected by this disorder; So that with the increase in education level, apnea disorder had also increased. Also, the findings showed that the disorder was more common in unemployed, married, overweight people with BMI (25-30), and obese people (30-40).

Conclusion

The spatial pattern of patients with apnea disorder was clustered and does not correspond to the high population density centers located in the marginal and slum areas of the city. These can be used by stakeholders, including governmental organizations and health authorities at the national-regional level.

Evaluating the access of slum residents to healthcare centers in Kermanshah Metropolis, Iran (1996-2016): A spatial justice analysis

Background

Proper access to health care centres and services is one of the key indicators of health justice, and it is more than ever important in slums.

Objective

This aim of this research is to evaluate the accessibility of health care centres to slum residents in the Kermanshah metropolis, Iran during the period 1996-2016.

Methods

In this cross-sectional study, data was obtained from the Census of Iran for the periods 1996, 2006 and 2016. Information on the number and location of health care centres was collected from the Kermanshah University of Medical Sciences. Network Analysis modelling method in Arc/GIS10.6 software was used to evaluate the accessibility of people to health centres.

Results

The results show that the spatial pattern of health centres in Kermanshah was random during 1996, 2006 and 2016, but the spatial pattern of poverty in the metropolis was clustered. In addition, the distribution of health centres was not consistent with the population densities. However, the overall population with inappropriate access to health centres in the slums of Kermanshah metropolis decreased over the study period (1996-54.02%, 2006-51.09%, and 2016-34.71%).

Conclusions

The findings of the study reveal that access to health care services by the slum population is not consistent with the increase of health care centres. This means that health policymakers were unsuccessful to provide the required health care services for the slums.

Investigating Global Spatial Patterns of Diarrhea-Related Mortality in Children Under Five

Objective

Investigating the trends of child diarrhea-related mortality (DRM) is crucial to tracking and monitoring the progress of its prevention and control efforts worldwide. This study explores the spatial patterns of diarrhea-related mortality in children under five for monitoring and designing effective intervention programs.

Methods

The data used in this study was obtained from the World Health Organization (WHO) public dataset that contained data from 195 countries from the year 2000 to 2017. This dataset contained 13,541,989 DRM cases. The worldwide spatial pattern of DRM was analyzed at the country level utilizing geographic information system (GIS) software. Moran's I, Getis-Ord Gi, Mean center, and Standard Deviational Ellipse (SDE) techniques were used to conduct the spatial analysis.

Results

The spatial pattern of DRM was clustered all across the world during the study period from 2000 to 2017. The results revealed that Asian and African countries had the highest incidence of DRM worldwide. The findings from the spatial modeling also revealed that the focal point of death from diarrhea was mainly in Asian countries until 2010, and this focus shifted to Africa in 2011.

Conclusion

DRM is common among children who live in Asia and Africa. These concentrations may also be due to differences in knowledge, attitude, and practices regarding diarrhea. Through GIS analysis, the study was able to map the distribution of DRM in temporal and spatial dimensions and identify the hotspots of DRM across the globe.

The Spatiality of COVID-19 in Kermanshah Metropolis, Iran

The COVID-19 pandemic is a severe ongoing health crisisworldwide. Studying the socio-economic impacts of COVID-19 can help policymakers develop successful pandemic management plans. This paper focuses on the spatial epidemiology of COVID-19 among different social classes in the Kermanshah metropolis, Iran. This cross-sectional study uses the data of people infected with COVID-19 in the Kermanshah metropolis in 2020, acquired from the official COVID-19 Registry of Kermanshah. The results show that 2013 people were infected with COVID-19 (male = 1164 and female = 849). The mean age of the patients was 45 ± 18.69. The Moran’s I show that COVID-19 in different social classes was clustered across the neighbourhoods in the Kermanshah metropolis. The mean ages of men and women were 44.51 ± 18.62 and 45.69 ± 18.76, respectively. Importantly, COVID-19 was highly prevalent in the middle-class groups. Age group comparisons indicate that older people were the most infected in poorer neighbourhoods. In the middle-classtheage group of 0–14 years and in the rich neighbourhoods the age group of 15–64 years were the most exposed to the disease. The findings of this study suggest that older people and lower socioeconomic classes should be prioritised while developing and implementing preventative programs for COVID-19 and similar pandemics.

Quality of life of HIV-infected individuals: insights from a study of patients in Kermanshah, Iran

Background

Quality of life (QOL) is one of the major factors to assessing the health and wellbeing of People living with HIV (PLWH). Likewise, improved QOL is among the prominent goals of patient treatment. This study was conducted to investigate the QOL of PLWH in Kermanshah, Iran.

Methods

This cross-sectional study was conducted on 364 PLWH of Kermanshah between 2016 and 2017. Outpatients were selected as the sample through the convenience sampling method from HIV Positive Clients of Kermanshah Behavioral Diseases Counseling Center. The reasons for the selection of outpatients include: (a) some patients were substance users, homeless or did not have a fixed address to follow-up; (b) addresses and personal details that were registered on the first admission were incorrect or incomplete; (c) due to financial issues, some were forced to relocate frequently and were difficult to track; (d) some patients were convicts or prisoners, making it hard to find them after their release; (e) some of them were from other provinces, where managing access was not easy/possible. Data was collected using WHOQOL-HIV BREF questionnaire (Persian Version). Data also analyzed with STATA 14, and SPSS 23 using T-test and multiple regression.

Results

This study showed that mean (SD) age of PLWH was 40.21 (10.45) years. Females had better QOL than males except for spirituality, religion and personal beliefs. The gender differences disappeared in multivariate results. A significant association was observed between education and the independence, environment, and spirituality domains of QOL. In addition, being married was correlated with overall QOL, psychological and social relationships domains of QOL of PLWH. Drug use was a behavioral factor with negative influence on the QOL.

Conclusion

This study found that marital status and drug use were the main predictors of various domains of QOL. Drug use was a behavioral factor with a negative influence on the QOL. Hence, it is recommended that health professionals, planners, and policymakers take effective measures to improve the status quo.

A Comparative Study of Spatial Distribution of Gastrointestinal Cancers in Poverty and Affluent Strata (Kermanshah Metropolis, Iran)

INTRODUCTION

The trend of cancers has witnessed a twofold rise in the last three decades, which is expected to be fivefold by 2030. On the other hand, gastrointestinal cancers have turned into one of the health issues in many societies. Given the presence of gastrointestinal cancer hot spots and evidence of health inequalities across Kermanshah Metropolis and the results of studies signaling the association between gastrointestinal cancers and socioeconomic status of individuals as well as evidence of unequal socioeconomic opportunities in this metropolis, the present study aimed to investigate the spatial distribution of gastrointestinal cancers in the poverty and affluent strata of Kermanshah Metropolis, Iran.

MATERIALS AND METHODS

In this descriptive-analytical study, the recorded data of patients, suffering from gastrointestinal cancers, in Kermanshah-based Pathology Centers and Vice Chancellery of Kermanshah University of Medical Sciences (2007-2012) were used. Moreover, to examine the status of gastrointestinal cancers in socioeconomic classes based on the census data collected during 2007-2012, 33 social, cultural, and structural indexes were extracted from the statistical blocks. Additionally, for data analysis and factor analysis, Kruskal-Wallis Test in the environment of SPSS and kernel density estimation (KDE) and Moran's I tests in the GIS environment were employed.

FINDINGS

The results of the present study revealed that the distribution of poverty (Z score = 48.916518, p value = 0.000000) and affluent strata (Z score = 14.345028, p value = 0.000000) followed clustered patterns (p < 0.01). Additionally, the results indicated that the spatial distribution pattern of the upper gastrointestinal cancer was clustered (Z score = 1.896996, p value = 0.007828), whereas the spatial distribution pattern of the lower gastrointestinal cancer was inclined to a randomized clustered pattern (Z score = 1.338121, p value = 0.000857) (p < 0.01). Finally, seven main hot spots were identified from the poverty stratum in Kermanshah, which perfectly overlapped the hot spots of upper gastrointestinal cancer. Similarly, four main hot spots were identified from the affluent stratum in Kermanshah, which overlapped the hot spots of lower gastrointestinal cancer. The results of the Kruskal-Wallis Test demonstrated that the poverty and affluent strata were significantly different from each other in terms of gastrointestinal cancer: upper gastrointestinal cancer (p < 0.05 and X²=10.064) and lower gastrointestinal cancer (p < 0.05 and X²=10.253).

CONCLUSION

The results of the present study showed that the ratio of patients with lower gastrointestinal cancers was higher than the incidence of upper gastrointestinal cancers over the 5-year period under study. Moreover, in Kermanshah Metropolis, there was a significant difference between the upper gastrointestinal cancer in the poverty stratum and the lower gastrointestinal cancer in the affluent stratum. Hence, it is suggested that GIS be applied as a tool for identifying the patterns of effective factors of this type of cancer in each social class, and it is recommended that some effective policies be presented and adopted by health managers according to the role and importance of socioeconomic, environmental, and nutritional factors in the poverty and affluent strata of society, and people at risk be equipped with preventive training programs in this respect.

Spatial-temporal distribution of dengue and climate characteristics for two clusters in Sri Lanka from 2012 to 2016

Dengue is a vector-borne disease causing high morbidity and mortality in tropical and subtropical countries. Urbanization, globalization, and lack of effective mosquito control have lead to dramatically increased frequency and magnitude of dengue epidemic in the past 40 years. The virus and the mosquito vectors keep expanding geographically in the tropical regions of the world. Using the hot spot analysis and the spatial-temporal clustering method, we investigated the spatial-temporal distribution of dengue in Sri Lanka from 2012 to 2016 to identify spatial-temporal clusters and elucidate the association of climatic factors with dengue incidence. We detected two important spatial-temporal clusters in Sri Lanka. Dengue incidences were predicted by combining historical dengue incidence data with climate data, and hot and cold spots were forecasted using the predicted dengue incidences to identify areas at high risks. Targeting the hot spots during outbreaks instead of all the regions can save resources and time for public health authorities. Our study helps better understand how climatic factors impact spatial and temporal spread of dengue virus. Hot spot prediction helps public health authorities forecast future high risk areas and direct control measures to minimize cost on health, time, and economy.