Spatial analysis and geoclimatic factors associated with the incidence of acute lymphoblastic leukemia in Iran during 2006–2014: An environmental epidemiological study

Pordanjani, Sajjad Rahimi; Kavousi, Amir; Mirbagheri, Babak; Shahsavani, Abbas; Etemad, Koorosh

doi:10.1016/j.envres.2021.111662

Cited by 9 publications

(6 citation statements)

References 40 publications

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“…The Kuldorff's purely spatial scan statistic test and the Gini Optimized Cluster Collection method were used to detect the high-risk and low-risk clusters and estimate the relative risk of drug poisoning in any county of Semnan Province. This new method separates clusters on a more local scale and optimizes the radius of the circular scanning window for cluster detection, thereby demonstrating the best results in cluster detection (13,16,17).…”

Section: Methodsmentioning

confidence: 99%

Temporal Trend and Spatial Distribution of Drug Poisoning in Semnan Province: A Retrospective Longitudinal Study

Babakhanian

Mamashli

Ansariniya

et al. 2022

Middle East J Rehabil Health Stud

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Background: Substance abuse and the risks of its consequences are the major public health problems in the world and Iran. Objectives: The objective of the present study is determination the epidemiological status and spatial distribution of high-risk and low-risk clusters along with estimating the relative risk of drug poisoning in Semnan in 8 years. Methods: A descriptive-analytical and retrospective longitudinal study was conducted that examined all 3360 poisoned patients who referred to the hospitals of Semnan province from 2011 - 2018. The total number of visits was received and analyzed by year with the relevant diagnostic code in ICD-10 from hospitals of the province, and data were analyzed using Joinpoint regression analysis, global Moran’s index and Kuldorff's spatial statistic scan at a significant level of 0.05. Results: The number of clients varied from 219 in 2011 to 570 in 2015. The patients' mean age was 26.7 years. The average annual number of cases per one hundred thousand individuals (annual cases/100000) was 598.4. The AAPC of the incidence of drug poisoning was 9.8 and significant in the whole province, demonstrating that the incidence of poisoning increased by an average of 9.8% per year in the whole province from 2011 to 2018. Semnan County with LLR = 533.07 was the most likely low-risk cluster, and Shahroud County was the most likely high-risk cluster with LLR = 219.94. Conclusions: Drug policies need to be adapted to the geographical differences in the place death. After clustering regions in poisoning incidents, the necessary interventions can be concentrated for these specific geographical locations.

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Section: Methodsmentioning

confidence: 99%

Temporal Trend and Spatial Distribution of Drug Poisoning in Semnan Province: A Retrospective Longitudinal Study

Babakhanian

Mamashli

Ansariniya

et al. 2022

Middle East J Rehabil Health Stud

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“…The spatial autocorrelation of the sample data were analyzed by ArcGIS 10.2 software. The correlation between the value and the spatial position was determined by outputting the value of Mordan’s I , Z score 13 , 14 . The formula for calculating the Moran's I is as follows (1).…”

Section: Methodsmentioning

confidence: 99%

Spatial distribution differences of 25-hydroxyvitamin D in healthy elderly people under the influence of geographical environmental factors

Yang

Wang

et al. 2022

Sci Rep

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The main targets of this were to screen the factors that may influence the distribution of 25-hydroxyvitamin D[25(OH)D] reference value in healthy elderly people in China, and further explored the geographical distribution differences of 25(OH)D reference value in China. In this study, we collected the 25(OH)D of 25,470 healthy elderly from 58 cities in China to analyze the correlation between 25(OH)D and 22 geography secondary indexes through spearman regression analysis. Six indexes with significant correlation were extracted, and a ridge regression model was built, and the country’s urban healthy elderly’25(OH)D reference value was predicted. By using the disjunctive Kriging method, we obtained the geographical distribution of 25(OH)D reference values for healthy elderly people in China. The reference value of 25(OH)D for healthy elderly in China was significantly correlated with the 6 secondary indexes, namely, latitude (°), annual temperature range (°C), annual sunshine hours (h), annual mean temperature (°C), annual mean relative humidity (%), and annual precipitation (mm). The geographical distribution of 25(OH)D values of healthy elderly in China showed a trend of being higher in South China and lower in North China, and higher in coastal areas and lower in inland areas. This study lays a foundation for further research on the mechanism of different influencing factors on the reference value of 25(OH)D index. A ridge regression model composed of significant influencing factors has been established to provide the basis for formulating reference criteria for the treatment factors of the vitamin D deficiency and prognostic factors of the COVID-19 using 25(OH)D reference value in different regions.

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“…In exploratory studies, investigators discover and describe patterns of disease. The mixed study indicates that both temporal trends (Time trend) and spatial patterns (multiple-group study) are investigated (6,17).…”

Section: Design and Type Of Studymentioning

confidence: 99%

“…Disease monitoring provides the basis for conducting research programs on the cause of the disease and evaluating early public health interventions (6). The incidence, prevalence, and deaths of diseases change over time (10).…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal Analysis of COVID-19: A Global Study

Pordanjani

Mohammadian

Derakhshan

et al. 2023

Middle East J Rehabil Health Stud

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Background: COVID-19 is an international public health emergency in the world. Objectives: The aim of the present study is to determine the geographic pattern and temporal trend of Coronavirus disease 2019 incidence, fatality, and recovery rates worldwide. Methods: The present ecological study is a mixed exploratory study. The study population included Patients with COVID-19, recovered individuals, and deaths from COVID-19 from October 1, 2019, until June 30, 2021, worldwide. Descriptive analysis included the calculation cumulative incidence rate (CIR), case fatality rate (CFR), and case recovery rate (CRR) of COVID-19. Global Moran's I and Anselin Local Moran's I tests were used for spatial analysis. The joinpoint regression analysis was used to examine the time trend by ArcGIS, Joinpoint, and SPSS software. Results: The average cumulative incidence rate was 1077 in 106 individuals; also, the average case recovery rate and average case fatality rate were %72.81 and %3.21, respectively. Global Moran's I index measured for CIR was 0.159. The results of Anselin's local Moran's I, high-high cluster, consists of some countries in South America and in southern and Western Europe and central and western Asia. The temporal trend of changes in the incidence rate and CRR of COVID-19 were incremental, and the average annual percentage change from October 2019 to June 2021 increased by 44.4% and 3.2%, respectively (P < 0.001), but CFR decreased by -0.3% and was not significant (P > 0.05). Conclusions: As regards the specific spatial pattern of fatality and recovery rate of COVID-19, it seems essential to consider spatial conditions and environmental factors which are related to the incidence and fatality of COVID-19 in different regions, as well as the necessity of upgrading the care system in high-risk areas, in order to have better management and control of the pandemic and optimal function in early diagnosis, proper treatment, and high vaccination coverage.

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Spatial analysis and geoclimatic factors associated with the incidence of acute lymphoblastic leukemia in Iran during 2006–2014: An environmental epidemiological study

Cited by 9 publications

References 40 publications

Temporal Trend and Spatial Distribution of Drug Poisoning in Semnan Province: A Retrospective Longitudinal Study

Temporal Trend and Spatial Distribution of Drug Poisoning in Semnan Province: A Retrospective Longitudinal Study

Spatial distribution differences of 25-hydroxyvitamin D in healthy elderly people under the influence of geographical environmental factors

Spatio-temporal Analysis of COVID-19: A Global Study

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