Epidemiology incidence and geographical distribution of Pertussis using GIS and its incidence prediction in Iran in 2021.

Background: Pertussis is a respiratory tract infection caused by Bordetella pertussis, which causes inflammation of the lungs and respiratory tract. The purpose of this study was to investigate the incidence and geographical distribution of pertussis using the geographic information system (GIS) and to predict its incidence in Iran in 2021. Methods: This was a descriptive analytical study. Information on pertussis was obtained from the Center for Communicable Diseases Control during 2009-2015. In the next step, the ArcGIS 9.3 was used to prepare geographic maps of the disease incidence and frequency. Therefore, the disease prediction map was drawn. using the Raster Calculator tool. Results: The results showed that the highest incidence of pertussis during 2009-2015 was in Zanjan, Qom, Mazandaran, and Qazvin provinces. The incidence of pertussis in Iran increased from 0.74 in 2009 to 1.53 in 2015. Based on the modeling results for Iran, Qom, Mazandaran, Tehran, Qazvin, and Zanjan provinces, with 76.76%, 73.69%, 66.32%, 30.94% and 24.18% of their areas (Km2), are at high risk for pertussis in the coming years, respectively. Conclusion: The incidence of the disease has been increasing in recent years, indicating the emergence of the disease in Iran. The modeling maps show that the Iranian provinces of Qom, Tehran, Zanjan, and Qazvin are at risk of the disease incidence in the coming years, indicating the need for planning, appropriate interventions and more precise implementation of the vaccination program against the disease.

Epidemiology incidence and geographical distribution of leptospirosis using GIS and its incidence prediction in Iran in 2021.

Background: Leptospirosis is known as a public health problem in developing and developed countries. The aim of this study was to investigate the incidence and geographical distribution of leptospirosis using the Geographic Information System (GIS) and to predict its incidence in Iran in 2021. Methods: This was a descriptive analytical study. Information on leptospirosis was obtained from the Center for Communicable Diseases Control during 2009-2015. In the next step, The ArcGIS 9.3 was used to prepare geographic maps of the disease incidence and frequency. Therefore, using the Raster Calculator tool, the disease prediction map was drawn. Results: The results showed that the highest incidence of leptospirosis during 2009-2015 was observed in Gilan, Mazandaran, and Golestan provinces, respectively. The incidence of the disease had an increasing trend from 2013 to 2015. Based on the results of the modeling in Iran, the provinces of Gilan, Mazandaran, and Golestan, with 72.18%, 8.54%, and 4.95% of their area, respectively, have the largest areas at a high-risk for leptospirosis in the coming years. Conclusion: The prevalence of leptospirosis is affected by geographical and climatic conditions of every region; thus, the incidence of the disease is higher in the provinces located at the Caspian coastal side and in some regions in Semnan province. Hence, if health authorities pay more attention to developing health plans to prevent the disease, the risk of disease in these areas will be reduced in the future.

Epidemiology incidence and geographical distribution of Meningitis using GIS and its incidence prediction in Iran in 2021.

Background: Meningitis is classified as a medical emergency where the identification and early treatment of bacterial meningitis can eliminate serious consequences, such as hearing loss, memory problems, learning disabilities, brain damage, seizures, and death. The purpose of this study was to investigate the incidence and geographical distribution of meningitis using Geographic Information system (GIS) and to predict its incidence in Iran in 2021. Methods: This was a descriptive analytical study. Information on pertussis was obtained from the Center for Communicable Diseases Control during 2010-2015. In the next step, ArcGIS 9.3 was used to prepare geographic maps of the disease incidence and frequency. Then, the disease prediction map was drawn using the Raster Calculator tool. Results: The results showed that the highest incidence of meningitis during 2010-2015 was in Qazvin, Qom, and Kurdistan provinces. The incidence of meningitis in Iran increased from 9.77 in 2010 to 10.33 in 2015. Based on the modeling results for Iran, Qom, Qazvin, Kurdistan, Hamadan, and Mazandaran provinces with 78.89%, 74.68%, 70.07%, 43.97%, and 22.93% of their areas (Km2) are at high risk for meningitis in the coming years, respectively. Conclusion: According to the results of this study, it can be concluded that Qom, Qazvin, Kurdistan, Hamedan, and Mazandaran provinces are at risk of the disease. Monitoring vaccination in high-risk groups can partially prevent the incidence of the disease in these areas.

Geographical distribution of Typhoid using Geographic Information System (GIS) during 2009-2014 in Iran.

Background: Salmonella induced infections remain one of the most important health problems worldwide. The purpose of this study is to investigate the incidence and geographical distribution of typhoid using GIS and to predict its incidence in Iran in 2021. Methods: This study is a descriptive analytical study. Information on pertussis was obtained from the Center for Communicable Diseases Control during 2009-2015. In the next step, ArcGIS 9.3 was used to prepare geographic maps of the disease incidence and frequency Therefore, using the Raster Calculator tool, the disease prediction map was drawn. Results: The results showed that the highest incidence of typhoid during 2009-2014 was in Kermanshah, Lorestan, Hamadan, Kurdistan, and Ilam provinces. The incidence of typhoid in Iran increased during 2009-2010. The annual incidence of typhoid decreased from 0.85 per 100,000 in 2010 to 0.5 in 2014. Based on the modeling results for Iran, Kermanshah, Lorestan, Kurdistan, Ilam and Hamadan provinces with 92.17%, 46.56%, 31.74%, 25.62% and 22.96% of their areas (Km2) are at high risk for typhoid in the coming years, respectively. Conclusion: Considering that the provinces of Kermanshah, Lorestan, Kurdistan, Ilam, and Hamadan are at risk of typhoid incidence in the coming years in Iran, and given that salmonella infections have a direct relationship with the individual's health status and individual's environmental health and socioeconomic status, improving the health status and disease control in carriers as well as improving the socio-economic status of the population living in these areas can prevent the disease in the years to come.

Worldwide incidence and mortality of ovarian cancer and Human Development Index (HDI): GLOBOCAN sources and methods 2018.

OBJECTIVE: Ovarian cancer is known as the seventh most common cancer among women, accounting for about 4% of all cancers associated with the females. METHOD: This is a descriptive cross-sectional study based on cancer incidence data and cancer mortality rates from the Global Cancer Data in 2018. The incidence and mortality rates were estimated and ovarian cancer distribution maps for world countries were drawn. To analyze data, correlation and regression tests were used to evaluate association between its incidence and mortality with human development index (HDI). RESULTS: Results revealed a direct and significant correlation between ovarian cancer incidence (R = 0.409, P < 0.0001) and mortality (R = 0.193, P < 0.05) with HDI. It also projected a direct and significant correlation between incidence with Gross National Income per 1,000 capita (GNI), mean years of schooling (MYS), life expectancy at birth (LEB) and expected years of schooling (EYS) (P < 0.0001). The findings also demonstrated a direct and significant correlation between mortality and GNI, MYS, LEB as well as EYS (P < 0.05). The linear regression model showed that a higher MYS [B = 0.2, CI 95%: (-0.03, 0.5)] can significantly augment the incidence of ovarian cancer while an increased MYS [B = 0.2, CI 95% (0.03, 0.4)] can induce mortality. CONCLUSIONS: Given the direct and significant correlation between ovarian cancer incidence and mortality with HDI, attention to risk factors in these countries can be effective in curbing its incidence and mortality.

The association between incidence and mortality of brain cancer and human development index (HDI): an ecological study.

BACKGROUND: Brain cancer is a rare and deadly malignancy with a low survival rate. The present study aims to evaluate the epidemiology of brain cancer and its relationship with the human development index (HDI) worldwide. METHODS: This is an ecological study. The data on cancer incidence and cancer mortality was extracted from the World Bank for Cancer in 2018 (GLOBOCAN 2018). The incidence, mortality rate, and brain cancer distribution maps were drawn for different countries. We used correlation and regression tests to examine the association of incidence and mortality rates of brain cancer with HDI. The statistical analysis was carried out by Stata-14 and a significance level of 0.05 was considered. RESULTS: According to the results of Global Cancer Registry in 2018, there were 18,078,957 registered cases of cancer in both sexes, of which 29,681 were related to brain cancer. The highest incidence (102,260 cases, 34.4%) and mortality (77,815 cases, 32.3%) belonged to very high HDI regions. Results showed that incidence (r = 0.690, P < 0.0001) and mortality rates (r = 0.629, P < 0.001) of brain cancer are significantly correlated with HDI. We also observed a positive correlation between brain cancer incidence and Gross National Income (GNI) (r = 0.346, P < 0.001), Mean Years of Schooling (MYS) (r = 0.64, P < 0.001), TABLE (LEB) (r = 0.66, P < 0.001) and Expected Years of Schooling (EYS) (r = 0.667, P < 0.001). Results also revealed that mortality rate was significantly correlated with GNI (r = 0.28, P < 0.01), MYS (r = 0.591, P < 0.01), LEB (r = 0.624, P < 0.01), and EYS (r = 0.605, P < 0.01). CONCLUSION: The results of the study showed that the incidence and mortality of brain cancer in countries with higher HDI levels is higher than countries with lower HDI levels, so attention to risk factors and action to reduce it in countries with higher HDI levels in controlling this cancer in this Countries are effective.

Prevalence of iron deficiency anemia in Asian female population and human development index (HDI): an ecological study.

OBJECTIVE: Anemia is a major problem in developing countries, the purpose of the present study was to investigate the relationship between the human development index (HDI) and the prevalence of anemia among Asian women. METHODS: This was a descriptive-analytic ecological study. The study analyzed data including HDI and prevalence of anemia extracted from the World Bank. The correlation coefficient and analysis of variance were used for data analysis. The significance level was considered to be less than 0.05. Analyses were performed using Stata-14 software. RESULTS: The results revealed that the prevalence of anemia in women of reproductive age (R=-0.626, P<0.001), pregnant women (R=-0.576, P<0.001) and non-pregnant women (R=-0.623, P<0.0001) was significantly negatively correlated with HDI index. In the analysis of HDI components and the prevalence of anemia, a significant negative correlation was observed between the prevalence of anemia and the mean years of schooling, life expectancy at birth, and expected years of schooling indices in all 3 groups of women (non-pregnant, pregnant, and of reproductive age) (P<0.05). CONCLUSION: Since there was a negative correlation between the prevalence of anemia in women and HDI, paying greater attention to factors which influence anemia may contribute to the prevention of anemia in developing countries.

Epidemiology of the Incidence and Mortality of Pancreas Cancer and its Relationship with the Human Development Index (HDI) in the World: An Ecological Study in 2018.

OBJECTIVE: Pancreatic cancer is one of the leading causes of mortality in developed countries and a lethal malignant neoplasm worldwide. This study aims to evaluate the epidemiology of pancreatic cancer incidence and mortality and its relationship with HDI. METHODS: This is a descriptive cross-sectional study that is based on cancer incidence data and cancer mortality rates derived from the GLOBOCAN in 2018. The incidence and mortality rates of Pancreas as well as Pancreas cancer distribution maps were derived for world countries. The data analysis was conducted using a correlation test, and regression tests were used to evaluate the correlation of the incidence and mortality of Pancreas with HDI. The statistical analysis was carried out by Stata-14, and a significance level of 0.05 was considered. RESULTS: The highest incidence of pancreatic cancer was reported in Asia with 214499 (46.7%) cases and the lowest incidence was related to Oceania with 4529 cases (0.99%). The results showed a positive and significant correlation between incidence (r = 0.764, P <0.0001) and mortality (r = 0.771, P <0.0001) of pancreatic cancer and the HDI index. The results of ANOVA revealed that the highest mean incidence was related to the very high HDI (P <0.0001) and the highest mortality was connected to the very high human development (P <0.0001). The results exhibited that incidence was positively and significantly correlated with GNI (r = 0.497, P <0.0001), MYS (r = 0.746, P <0.0001), LEB (r = 0.676, <0.0001) and EYS (r = 0.738, P <0.0001). Also, a significant positive correlation was found between mortality and GNI (r = 0.507, P <0.0001), MYS (r = 0.745, P <0.0001), LEB (r = 0.679, <0.0001), and EYS (r = 0.748, P <0.0001). CONCLUSION: Given the higher incidence and mortality of pancreatic cancer in countries with HDI, it is necessary to pay a greater attention to risk factors and appropriate planning to reduce these factors and minimize the impact and mortality rate of this disease.

Association between the incidence and mortality rates for corpus uteri cancer and human development index (HDI): a global ecological study.

OBJECTIVE: The aim of this study was to determine the association between the incidence of and mortality due to corpus uteri cancer (CUC) and the human development index (HDI) across the world. METHODS: This was an ecological study. The incidence and mortality rates of CUC along with HDI data were extracted from the Global Cancer Data in 2018. Subsequently, correlation coefficient and linear regression model were used to determine the association between the incidence and mortality rates of CUC and the HDI. STATA-14 was used for data analysis. RESULTS: There was a positive and significant correlation between the incidence (r=0.693; P<0.001) and mortality (r=0.284; P<0.001) rates of uterine cancer and the HDI. A positive and significant correlation was also observed between the incidence rate and the gross national income per 1,000 capita (r=0.440; P<0.001), mean years of schooling (MYS) (r=0.740; P<0.001), life expectancy at birth (LEB) (r=0.590; P<0.001), and expected years of schooling (r=0.650; P<0.001). The results of the linear regression model showed a significant statistical association between MYS and the incidence of CUC (ß=1.10; 95% confidence interval [CI], 0.60-1.70) and LEB and mortality due to uteri cancer (ß=0.40; 95% CI, 0.10-0.90). CONCLUSION: The results of this study suggest a significant statistical association between the incidence and mortality rates of CUC and the HDI.