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Farhad Azizpour, Vahid Riahi, Somayeh Azizi,
Volume 7, Issue 4 (2-2021)

Spatial analysis of COVID-19 Pandemic in Rural Area of Damavand
As information about disease and mortality grows, so do appropriate methods for analyzing this type of data that meet different needs. One of these methods is spatial analysis of the disease, which considers its geographical distribution along with other risk factors. The present study is an attempt to depict the spatial pattern of coronary heart disease distribution in rural settlements of Damavand and to explain the factors affecting the spatial distribution of this disease in the study area. Spatial analysis of corona prevalence using spatial statistics analysis methods can extract and analyze the spatial patterns governing the geographical distribution of this disease. For this purpose, the present study seeks to answer the following questions:
  1. What pattern does the spatial distribution of coronary heart disease in the rural area of Damavand city follow?
  2. What factors have influenced this spatial distribution pattern?
Due to the nature of the subject, the present study is of the combined type and in terms of applied results. The method of data collection is based on documentary-library and survey-field data. Initially, the statistics of the number of patients with coronary artery from the beginning of April 2020 to the end of July 2020 were collected by referring to Damavand health center. Then spatial analysis is applied to them. In order to study the spatial pattern of corona disease distribution and to recognize its non-random structure from various statistical indicators such as mean, percentage, hot spot analysis and also to properly understand the pattern of hot spot clusters by measuring directional geographical distribution (standard ellipse) in GIS software environment. Used. After describing the structure and pattern of dispersions, one should look for the cause and reasons of dispersions. Thus, in field surveys, after determining the number of patients with coronary artery disease, snowball interviews were conducted with 23 residents of Damavand city in order to identify and analyze the factors affecting the spatial distribution pattern of coronary heart disease in this city. After conducting the interviews and collecting the data, in order to analyze them, the underlying theory in the Maxiquida software environment was used. Pearson correlation coefficient was used to determine the relationship between the factors affecting the prevalence of the disease in the study area as independent variables with coronary heart disease as a dependent variable in SPSS environment. Then, Moran's spatial autocorrelation analysis model was used to know the type of distribution pattern of the identified factors.
This part of the findings is divided into two parts according to the questions raised in the research:  Spatial distribution pattern of coronary heart disease in rural areas of Damavand city
Out of a total of 67 villages, 21 rural points (31.34%) and 1 rural point (1.49%), respectively, have the lowest and highest number of patients with coronary heart disease. Based on the analysis of clusters of hot spots and elliptical curve of geographical distribution, most hot spots are located in the west and northwest of the city and the villages located in these spots with low health centers have almost high population density that are adjacent to each other and They are close to the cities and on the main road. Most of the cold spots are located in the east and southeast of the region.
Factors affecting the distribution pattern of coronary heart disease in rural areas of Damavand city
After determining the spatial pattern of corona disease distribution in the rural area of ​​Damavand city, the effective factors in the spatial distribution pattern of this disease should be identified and analyzed. These factors include: Weak official information on coronary heart disease; Weak local community attention to the principles of health exposure to corona risk; Simplifying the risk of coronary heart disease; Short geographical distance between settlements; High level of inter-residential interactions; Weakness in providing health services. Pearson correlation coefficient was used to determine the relationship between the factors affecting the prevalence of the disease in the study area as independent variables with coronary heart disease as a dependent
Nader Shohani, Farshad Shohani, Fariba Shohani, ‎, Hakim ‎ Bakrizadeh, ,
Volume 7, Issue 4 (2-2021)

Investigating the role of microorganisms on the rate of hospitalization of
Cardiova scular patients in Ilam city during the years 88-92
Iran and especially the West and Southwest regions of Iran are intermittently confronted with the phenomenon of dust and its problems. West of Iran Due to the natural environment and proximity to areas of dust source in West Asia, a region susceptible to the occurrence of dust phenomena is frequent. Fragments are the most important and perhaps the main threat to the health of individuals. Statistics show the destructive and negative effects of these microorganisms or The same dust is on people in the West and Southwest of Iran. Statistics and studies from the south and west of the country show that more than 100 days have been infected between the years 77 to 91, which has many health problems, and others Items have been created.Method of research In this article, a descriptive-analytical study. Then, using a questionnaire on the relationship between the phenomenon of dust and the health of citizens with the hypothesis: there is a significant relationship between the phenomenon of dust and the occurrence or exacerbation of heart disease in residents of Ilam. This study is a descriptive-analytic study in terms of post-event topic. The statistical population of this study was all patients admitted to Mustafa Khomeini Hospital in Ilam in the years 92-88.
In this paper, we try to first analyze the dust phenomenon, the frequency of its occurrence in the past and recent decades, and investigate the origin and conditions of formation of the phenomenon, and then to the effect Dusty storms on the cardiovascular health of the inhabitants of the area (with an emphasis on the city of Ilam). The results of multivariate statistical analysis including Pearson correlation coefficient, regression test, Chi-square test, ANOVA (variance analysis), and Kundal's correlation test showed that the relationship between the arrival of microorganisms in the statistical period of the study with the number of patients suffering from cardiovascular disease At the significance level, 0.05 was significant and indicates the existence of the relationship. This means that as the amount of entropy to the city of Ilam increased, the number of cases of this disease also increased.
Key words: Health, Dust, Rhizard, Disease, Drought, Climate.
Ms Mahsa Sepasian, Dr. Bohloul Alijani, Dr. Mohammad Salighe, Dr. Mehry Akbary,
Volume 8, Issue 4 (1-2021)

Tehran metropolitan with its large population, daily migrant workforce and many students, needs to planning and designing watch/warning system to reduce the climatic problems for human health.for this purpose, we need to study the climate accurately and Since the factors affecting the climate of warm and cold periods in Iran are different, in this study , the meteorological variables of Tehran warm period (May to September 2002) turned into 4 components in Temporal Synoptic Index (TSI) using PCA Method and using P-Array and Varimax rotation.By the scores of components for each day, the clustering method (in ward method) were used and, the warm days of the year was divided into two cluster named favorable and oppressive airmasses. The average maximum air temperature that is more effective in mortality, was 36.13 ° C. Days with temperatures above  34 ° C, less pressure, mild winds , dryness and more sunshine resulted in more adverse weather conditions, which resulted in a 34% increasing in mortality compare with favorable weather. The total number of deaths from cardiovascular disease during the study period was 154046 that about  67%of deaths have been simultaneous with oppressive airmass.The epidemiological study of mortality also confirms the results of previous research in this area and shows that the incidence of mortality is higher in older people as well as in men. It is clear that not all mortality can be attributed to the effects of climate, but results show that change in climatic conditions will affect on mortality and also for study the effect of climatic hazards on human health, it is better that we study the effect of all variables together on humans.

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