Article
Oncology
Behzad Kiani, Fatemeh Hashemi Amin, Nasser Bagheri, Robert Bergquist, Ali Akbar Mohammadi, Mahmood Yousefi, Hossein Faraji, Gholamreza Roshandel, Somayeh Beirami, Hadi Rahimzadeh, Benyamin Hoseini
Summary: By analyzing the concentration of heavy metals in rice produced in northeastern Iran and the age-standardized incidence rate of colon cancer, the study found that areas with higher cobalt concentrations were associated with higher colon cancer incidence in men, while higher selenium concentrations were linked to lower incidence. Further investigation is needed to clarify the reasons for these discrepancies, and regular monitoring of heavy metal levels in consumed rice is recommended.
Article
Environmental Sciences
Haci Omer Yilmaz, Mehmet Akif Gunen
Summary: This study aims to assess the relationship between geographical factors and adult obesity prevalence in Turkiye through a cross-regional study. The results showed that slope was positively associated with obesity prevalence, while elevation was negatively associated. These spatially varying associations provide valuable insights for understanding adult obesity and suggest the consideration of geographical factors in obesity prevention strategies.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH
(2023)
Article
Geosciences, Multidisciplinary
Sefa Mizrak, Handan Cam
Summary: The effects of natural and technological disasters can be prevented through scientific and technological developments. This study aimed to investigate the factors affecting the disaster resilience of countries. By analyzing data from 181 countries, the study identified variables that contributed to the rate of population affected by disasters. The findings of the study have implications for disaster risk reduction efforts and can guide future research in this area.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2022)
Article
Humanities, Multidisciplinary
Ali Asghar Pilehvar
Summary: The development of urbanization and urbanism in Iran has led to a widening socioeconomic gap in urban areas, resulting in issues such as unemployment, inflation, rising housing prices, and traffic congestion. The study shows that cities in Iran have experienced unsustainable growth trends, with urbanization overtaking urbanism.
HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
(2021)
Article
Economics
Yong He, Xinbing Kong, Long Yu, Xinsheng Zhang
Summary: In this article, we propose a method for estimating large-dimensional factor models using principal component analysis and ordinary least square regression. Theoretically, we show that the proposed method can consistently estimate factor loadings, scores, and common components without any moment constraint. The convergence rates of the estimated parameters are provided. The method is validated through simulations and analysis of a financial dataset.
JOURNAL OF BUSINESS & ECONOMIC STATISTICS
(2022)
Article
Engineering, Aerospace
Farideh Taripanah, Abolfazl Ranjbar
Summary: Land surface temperature (LST) is a crucial factor affecting regional climate and ecology, with various influences such as topography, vegetation, and solar radiation. This study investigated the temporal and spatial variation of LST in different years in northwest Iran, showcasing the significant impact of temperature, vegetation, and elevation on LST. The results provide valuable insights for prospective studies on ecosystem responses to climate changes.
ADVANCES IN SPACE RESEARCH
(2021)
Article
Engineering, Civil
Zhiying Li, Steven M. Quiring
Summary: This study used geographically weighted regression models to analyze spatial variations in factors impacting water balance in reference and non-reference watersheds. Results showed different variables had varying importance in different watersheds, with significant relationships found between climate, physiographic, and human-related factors and water partitioning.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
Wentian Xu, Yixu Wang, Shuo Sun, Lei Yao, Tong Li, Xuecheng Fu
Summary: The development of urban agglomeration worsens air pollution caused by urbanization. However, the variations in urbanization process across different urban agglomerations may lead to unique regional air pollution characteristics and complicate its driving mechanism. This study focuses on 11 urban agglomerations in China with different levels of urbanization to examine the spatiotemporal heterogeneity of PM2.5 and its potential driving factors related to urbanization. The findings highlight the significant spatial heterogeneity of PM2.5 pollution and the substantial contribution of urbanization to regional PM2.5 pollution.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Stutee Gupta, Srishti Gwal, Sarnam Singh
Summary: The forest ecosystem of Indian Himalayan Region provides crucial ecosystem services for human sustenance, but the rapid expansion of human activities poses a threat to these services. This study used indicators and geospatial techniques to evaluate the relationship between the forest ecosystem services and human activities, finding an inverse relationship between the two.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2023)
Article
Green & Sustainable Science & Technology
Nudrat Fatima, Mahjabeen Usman, Nasir Khan, Muhammad Shahbaz
Summary: This study examines the impact of financial development, green technological innovation, and environmental taxes on energy transition in European countries. The findings suggest that financial development and green technological innovation have a positive relationship with energy transition, while environmental taxes have a negative correlation. Additionally, economic growth also has a positive effect on environmental taxes.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Agronomy
Zhanyou Xu, Steven B. Cannon, William D. Beavis
Summary: This study evaluates methods for spatial adjustment of ordinal data, using soybean iron deficiency chlorosis (IDC) as an example, and finds that geospatial autoregressive regression models perform the best for this type of ordinal data.
Article
Business, Finance
Rakesh Kumar Sharma
Summary: This study identifies significant factors influencing dividend payout ratios of selected real estate firms in India, including firm size, leverage, liquidity, firm risk measured through P/E ratio, lagged dividend payout ratio, and firm growth. The findings can be utilized by stakeholders for designing optimal dividend policies and maximizing benefits for shareholders. Additionally, existing and prospective shareholders can use these determinants to predict future dividend payments and make investment decisions accordingly.
INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS
(2021)
Article
Business
Marinko Skare, Ma lgorzata Porada-Rochon
Summary: This study examines the long-run relationship between carbon emissions, technological progress, capital intensity, GDP per capita, population, and labor productivity in 23 selected economies from 1890 to 2019. The researchers utilized comprehensive panel time-series data and employed various estimation techniques to evaluate the significance of decarbonization. The results indicate that while carbon emissions are slowing down, the progress of decarbonization remains slow due to factors such as GDP per capita growth, population, and capital intensity.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Article
Green & Sustainable Science & Technology
Sohail Abbas, Shazia Kousar, Amber Pervaiz
Summary: This study aimed to analyze the effects of traditional energy, renewable energy, ecological footprint, urbanization, and transportation on CO2 emissions, and investigate the association between CO2 emissions and temperature in Pakistan. The results show that traditional energy, ecological footprint, and renewable energy have varying impacts on CO2 emissions in the short and long term, while urbanization and transportation have consistent significant effects on CO2 emissions. Additionally, the study found a positive and significant impact of CO2 emissions, urbanization, and transportation on average temperature in Pakistan in both short and long-term periods.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2021)
Article
Engineering, Electrical & Electronic
Manish L. Bhaiyya, Sanjeet Kumar Srivastava, Prasant Kumar Pattnaik, Sanket Goel
Summary: Machine learning was used to address the challenges of nonlinearity, output variations, and multidimensionality in the real-world usage of electrochemiluminescence (ECL) sensors. Closed ECL systems with luminol/H2O2-based electrochemistry were used to accurately measure the concentration of biomarkers such as cholesterol, choline, lactate, and glucose. Various regression ML models were employed to predict biomarker concentration and improve accuracy. Real blood serum analysis demonstrated the potential of the ECL device for practical applications.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Geography, Physical
Ali Dadashi, Alireza Mohammadi, Shahab MohammadEbrahimi, Robert Bergquist, Ali Shamsoddini, Azam Hesami, Elahe Pishgar, Khalil Kimiafar, Masoumeh Sarbaz, Behzad Kiani
Summary: This study investigated the spatial patterns of the 10 most prevalent cancers in northeastern Iran. Methods like Getis-Ord G* and Anselin Local Moran's Index were used to identify hotspots and local clusters. The study found that, except for breast cancer, all cancer types were more common in males. Cluster analysis revealed hotspots of breast cancer in the Southwest, skin cancer in the East/Southeast, and brain tumors in the North among men. Among women, hotspots were found for skin cancer in the East and Southeast, and bladder cancer in the Central and East. The study suggests a possible link between the high incidence of certain cancers and environmental factors.
JOURNAL OF SPATIAL SCIENCE
(2023)
Article
Construction & Building Technology
Alireza Mohammadi, Shahrooz Shahparvari, Behzad Kiani, Sepideh Noori, Prem Chhetri
Summary: This study maps and analyzes the spatio-temporal patterns of urban fire incidents, showing that the patterns vary depending on time, types, and causes. The findings provide evidence for decision-making on resource allocation, establishing fire stations, deploying personnel, and formulating prevention strategies such as education campaigns.
INDOOR AND BUILT ENVIRONMENT
(2023)
Review
Public, Environmental & Occupational Health
Neda Firouraghi, Behzad Kiani, Hossein Tabatabaei Jafari, Vincent Learnihan, Jose A. Salinas-Perez, Ahmad Raeesi, MaryAnne Furst, Luis Salvador-Carulla, Nasser Bagheri
Summary: Background GIS and GPS are important tools for supporting public health research, but their applications in dementia care and research have not been extensively investigated. This scoping review aims to elaborate on the role and types of GIS and GPS applications in dementia care and research. The review found that although the use of GIS and GPS methodologies in dementia care and research is growing, there is limited research in the areas of dementia care, risk factor analysis, and dementia policy planning.
INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS
(2022)
Article
Geography
Behzad Kiani, Munazza Fatima, Nazanin Hashemi Amin, Azam Hesami
Summary: This study aimed to compare three different spatial clustering approaches in identifying geospatial clusters of lung cancer in an urban area. The results showed persistent clustering of lung cancer in the southern and central parts of the city around the central business district. Spatial scan statistics revealed more geographical areas as lung cancer high-risk areas.
Article
Remote Sensing
Hasan Mansouritorghabeh, Ahmad Bagherimoghaddam, Saeid Eslami, Amene Raouf-Rahmati, Davidson H. Hamer, Behzad Kiani, Shahab MohammadEbrahimi
Summary: This study investigated the spatial epidemiology of COVID-19 in Mashhad, Iran, and found that male gender and age over 60 were associated with higher mortality rates. The study also revealed that while the distribution of COVID-19 cases in the city was almost random, the downtown area was a hotspot, likely due to crowded population, low socioeconomic status, and poor access to healthcare facilities.
SPATIAL INFORMATION RESEARCH
(2022)
Article
Multidisciplinary Sciences
Shahab MohammadEbrahimi, Behzad Kiani, Zahra Rahmatinejad, Stefan Baral, Soheil Hashtarkhani, Mohammad Dehghan-Tezerjani, Elahe Zare, Mahnaz Arian, Fatemeh Kiani, Mohammad Mehdi Gouya, Mohammad Nasr Dadras, Mohammad Karamouzian
Summary: This study investigated the epidemiological characteristics and spatial patterns of severe hospitalized influenza cases confirmed by PCR in Iran. The results revealed high-risk hotspot areas in northern parts of Iran, especially in cold, humid, and densely populated areas. Influenza hotspots were more common during the colder months of the year, and factors such as age, gender, and comorbidities were associated with mortality. These findings are important for informing influenza prevention, testing, and mitigation strategies, including vaccination planning in Iran.
Article
Infectious Diseases
Alireza Mohammadi, Elahe Pishgar, Munazza Fatima, Aynaz Lotfata, Zohreh Fanni, Robert Bergquist, Behzad Kiani
Summary: This research examines the COVID-19 mortality rates and their geographical association with various socioeconomic and ecological determinants in 350 neighborhoods in Tehran. The study finds that the downtown and northern areas of the city are significantly clustered in terms of high-risk areas for COVID-19 mortality. Factors such as air pollutant factors, socioeconomic status, built environment factors, and public transportation infrastructure are found to be correlated with the mortality rate.
TROPICAL MEDICINE AND INFECTIOUS DISEASE
(2023)
Article
Infectious Diseases
Neda Firouraghi, Robert Bergquist, Munazza Fatima, Alireza Mohammadi, Davidson H. H. Hamer, Mohammad Reza Shirzadi, Behzad Kiani
Summary: This study provides a spatiotemporal visualization of cutaneous leishmaniasis (CL) cases in Iran at the county level from 2011 to 2020, detecting high-risk zones and noting the movement of high-risk clusters. The number of new CL cases decreased over the research period, with a regular seasonal pattern. Significant high-risk clusters covering a large area of the country were observed, along with spatial variation in the temporal trend analysis. Overall, the study emphasizes the importance of conducting spatiotemporal analyses at the county level for a more precise understanding of CL distribution.
INFECTIOUS DISEASES OF POVERTY
(2023)
Article
Environmental Studies
Emad Soroori, Behzad Kiani, Soraya Ghasemi, Alireza Mohammadi, Hamidreza Shabanikiya, Robert Bergquist, Fatemeh Kiani, Hossein Tabatabaei-Jafari
Summary: This study investigated the relationship between environmental and socioeconomic factors and motor vehicle collisions involving young pedestrians in Mashhad, Iran. The findings revealed several factors, including population of young people, road area ratio, main road intersection ratio, average maximum speed limit, non-motorized travels, sidewalk area ratio, sidewalk disconnections, number of schools, unemployment ratio, illiteracy rate, and open space ratio, significantly associated with child pedestrian-motor vehicle collisions. However, these associations varied across the study area, suggesting the presence of unknown factors or interactions of known factors.
APPLIED SPATIAL ANALYSIS AND POLICY
(2023)
Article
Health Care Sciences & Services
Soheil Hashtarkhani, Stephen A. Matthews, Ping Yin, Alireza Mohammadi, Shahab MohammadEbrahimi, Mahmood Tara, Behzad Kiani
Summary: This study combines GIS with mathematical optimization to improve EMS coverage in a county in northeast Iran. EMS demand locations were determined through analysis of one-year EMS call data. Two scenarios were implemented, including a relocation model for existing ambulances and an allocation model for new ambulances, using a list of candidate locations. The incorporation of GIS techniques into optimization modeling shows promise for efficient management of healthcare resources.
Article
Green & Sustainable Science & Technology
Alireza Mohammadi, Behzad Kiani, Hassan Mahmoudzadeh, Robert Bergquist
Summary: This study used multi-year data to predict pedestrian-road traffic accidents based on socioeconomic and built-environment factors. Logistic regression and fuzzy-analytical hierarchy process techniques were used to evaluate and assign weights to each factor. The susceptibility map for accidents was generated using the Technique for Order of Preference by Similarity to Ideal Solution. Accidents in 2020 were predicted using real accident data and Markov chain and cellular automata Markov chain models, with high prediction accuracy assessed by the Kappa index. The proposed methodology is generalizable and can aid urban planners in identifying high-risk locations and implementing preventive measures.
Article
Development Studies
Behzad Kiani, Hiroshi Mamiya, Benoit Thierry, Caislin Firth, Daniel Fuller, Meghan Winters, Yan Kestens
Summary: This study found a link between increases in cycling infrastructure and gentrification in Montreal, Canada. Gentrified areas were more likely to have subsequent increases in cycling infrastructure. Therefore, it is important to consider the socio-economic dynamics of urban communities when planning cycling infrastructure.
HABITAT INTERNATIONAL
(2023)
Article
Remote Sensing
Mohammad Mahdi Barati Jozan, Alireza Mohammadi, Aynaz Lotfata, Hamed Tabesh, Behzad Kiani
Summary: The study identifies fire patterns in the second-most populous city in Iran, Mashhad, from 2015 to 2019. Spatial scan statistics were used to analyze 29,889 fire events in the area and found four primary types of fires. The period from 12:00 to 23:00 was identified as high-risk for all fire incidents. Urban planners should consider socio-economic factors and prioritize high-risk neighborhoods for fire safety resource allocation. Future research could focus on high-risk regions to identify specific characteristics.
SPATIAL INFORMATION RESEARCH
(2023)
Article
Geography
Ahmad Raeesi, Mahmood Tara, Behzad Kiani
Summary: This study aimed to measure spatial access to hospitals in Sistan and Baluchestan Province in Southeast Iran using the enhanced two-step floating catchment area (E2SFCA) approach. The study revealed significant disparities in access to hospital beds in the province, with nearly 30% (938,399 people) of the population lacking access to any beds within a 30-min drive time. These findings have important implications for policymakers and local health planners as they can use the accessibility scores to prioritize resource allocation and improve access to healthcare services in underserved areas.
