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Temporal trend and spatial distribution of acute lymphoblastic leukemia in Iranian children during 2006-2014: a mixed ecological study
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Sajjad Rahimi Pordanjani, Amir Kavousi, Babak Mirbagheri, Abbas Shahsavani, Koorosh Etemad
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Epidemiol Health. 2020;42:e2020057. Published online July 29, 2020
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DOI: https://doi.org/10.4178/epih.e2020057
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Abstract
OBJECTIVES
The present study investigated the spatiotemporal epidemiological status of acute lymphoblastic leukemia (ALL), the most common childhood cancer, in Iran.
METHODS Using an exploratory mixed design, this ecological study examined 3,769 under-15 children with ALL recorded in the National Cancer Registry of Iran during 2006-2014. Data were analyzed using the Mann-Whitney U test, the Getis-Ord general G (GOGG) index, optimized hot spot analysis, and Pearson correlation coefficients (PCC) at a significance level of 0.05.
RESULTS The average annual incidence of the disease was 2.25 per 100,000 under-15 children, and the cumulative incidence rate (CIR) was 21.31 per 100,000 under-15 children. Patients’ mean age was 5.90 years (standard deviation, 3.68), and the peak incidence was observed among 2-year to 5-year-olds. No significant difference was found in mean age between boys and girls (p=0.261). The incidence of ALL was more common during spring and summer than in other seasons. The GOGG index was 0.039 and significant (p<0.001). Hot spots were identified in south, central, and eastern Iran and cold spots in the north and west of Iran. The PCC between the CIR and latitude was negative (r=-0.507; p=0.003) but that between the CIR and longitude was positive (r=0.347; p=0.055).
CONCLUSIONS The incidence of ALL in Iranian children was lower than that observed in developed countries, but showed an increasing trend. It can be argued that the incidence of ALL is due to synergistic interactions between environmental, infectious, geographical, and genetic risk factors.
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Summary
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Citations
Citations to this article as recorded by  - Epidemiology of childhood acute leukemias in marginalized populations of the central-south region of Mexico: results from a population-based registry
Janet Flores-Lujano, Aldo Allende-López, David Aldebarán Duarte-Rodríguez, Erika Alarcón-Ruiz, Lizbeth López-Carrillo, Teresa Shamah-Levy, Mariano E. Cebrián, Ma. del Rocío Baños-Lara, Diana Casique-Aguirre, Jesús Elizarrarás-Rivas, Javier Antonio López-A
Frontiers in Oncology.2024;[Epub] CrossRef - Disability-adjusted Life Years of Hepatitis B in Iran during 2009–2019: An Analysis Based on the Global Burden of Disease Study 2019
Zaher Khazaei, Sayyad Khanizadeh, Moslem Taheri Soodejani, Sajjad Rahimi Pordanjani, Elham Goodarzi
The Open Public Health Journal.2024;[Epub] CrossRef - Trends in childhood leukemia incidence in urban countries and their relation to environmental factors, including space weather
Olga Khabarova, Sergey K. Pinaev, Vladimir V. Chakov, Alexey Ya. Chizhov, Olga G. Pinaeva
Frontiers in Public Health.2024;[Epub] CrossRef - Spatio-temporal Analysis of COVID-19: A Global Study
Sajjad Rahimi Pordanjani, Maryam Mohammadian, Somayeh Derakhshan, Fatemeh Hadavandsiri, Seyed Saeed Hashemi Nazari, Mohammad Hossein Panahi
Middle East Journal of Rehabilitation and Health Studies.2023;[Epub] CrossRef - Persistently high incidence rates of childhood acute leukemias from 2010 to 2017 in Mexico City: A population study from the MIGICCL
Janet Flores-Lujano, David Aldebarán Duarte-Rodríguez, Elva Jiménez-Hernández, Jorge Alfonso Martín-Trejo, Aldo Allende-López, José Gabriel Peñaloza-González, María Luisa Pérez-Saldivar, Aurora Medina-Sanson, José Refugio Torres-Nava, Karina Anastacia Sol
Frontiers in Public Health.2022;[Epub] CrossRef - Epidemiological characteristics and temporal-spatial analysis of overseas imported dengue fever cases in outbreak provinces of China, 2005–2019
Xinchang Lun, Yiguan Wang, Chunchun Zhao, Haixia Wu, Caiying Zhu, Delong Ma, Mingfang Xu, Jun Wang, Qiyong Liu, Lei Xu, Fengxia Meng
Infectious Diseases of Poverty.2022;[Epub] CrossRef - Temporal Trend and Spatial Distribution of Drug Poisoning in Semnan Province: A Retrospective Longitudinal Study
Masoudeh Babakhanian, Khadijeh Mamashli, Faezeh Ansariniya, Somayeh Rezaie, Hamed Azadi, Masumeh Ghazanfarpour, Sajjad Rahimi Pordanjani
Middle East Journal of Rehabilitation and Health Studies.2022;[Epub] CrossRef - Crude incidence, age-specific incidence, and standardized incidence rates of leukemia in children under 14 years of age in Iran: an updated meta-analysis
Ayda Hasanpour Dehkordi, Hasan Askarpour, Farshid Karami Pordanjani, Mohammad Rafiee, Sajjad Rahimi Pordanjani
Przeglad Epidemiologiczny.2022; 75(4): 546. CrossRef
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How to improve the human brucellosis surveillance system in Kurdistan Province, Iran: reduce the delay in the diagnosis time
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Meysam Olfatifar, Seyed Mehdi Hosseini, Payam Shokri, Soheila Khodakarim, Naghmeh Khadembashi, Sajjad Rahimi Pordanjani
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Epidemiol Health. 2020;42:e2020058. Published online August 10, 2020
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DOI: https://doi.org/10.4178/epih.e2020058
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12,403
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185
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4
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Abstract
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Abstract
OBJECTIVES
Spatial information makes a crucial contribution to enhancing and monitoring the brucellosis surveillance system by facilitating the timely diagnosis and treatment of brucellosis.
METHODS An exponential scan statistic model was used to formalize the spatial distribution of the adjusted delay in the diagnosis time of brucellosis (time between onset and diagnosis of the disease) in Kurdistan Province, Iran. Logistic regression analysis was used to compare variables of interest between the clustered and non-clustered areas.
RESULTS The spatial distribution of clusters of human brucellosis cases with delayed diagnoses was not random in Kurdistan Province. The mean survival time (i.e., time between symptom onset and diagnosis) was 4.02 months for the short spatial cluster, which was centered around the city of Baneh, and was 4.21 months for spatiotemporal clusters centered around the cities of Baneh and Qorveh. Similarly, the mean survival time for the long spatial and spatiotemporal clusters was 6.56 months and 15.69 months, respectively. The spatial distribution of the cases inside and outside of clusters differed in terms of livestock vaccination, residence, sex, and occupational variables.
CONCLUSIONS The cluster pattern of brucellosis cases with delayed diagnoses indicated poor performance of the surveillance system in Kurdistan Province. Accordingly, targeted and multi-faceted approaches should be implemented to improve the brucellosis surveillance system and to reduce the number of lost days caused by delays in the diagnosis of brucellosis, which can lead to long-term and serious complications in patients.
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Summary
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Citations
Citations to this article as recorded by - Asymmetric Effects of Weather-Integrated Human Brucellosis Forecasting System Using a New Nonlinear Autoregressive Distributed Lag Model
Yongbin Wang, Chenlu Xue, Bingjie Zhang, Yuchun Li, Chunjie Xu, Daniel Diaz
Transboundary and Emerging Diseases.2024; 2024: 1. CrossRef - Spatio-temporal Analysis of COVID-19: A Global Study
Sajjad Rahimi Pordanjani, Maryam Mohammadian, Somayeh Derakhshan, Fatemeh Hadavandsiri, Seyed Saeed Hashemi Nazari, Mohammad Hossein Panahi
Middle East Journal of Rehabilitation and Health Studies.2023;[Epub] CrossRef - Factors Associated With Diagnostic Delays in Human Brucellosis in Tongliao City, Inner Mongolia Autonomous Region, China
Jingbo Zhai, Ruihao Peng, Ying Wang, Yuying Lu, Huaimin Yi, Jinling Liu, Jiahai Lu, Zeliang Chen
Frontiers in Public Health.2021;[Epub] CrossRef - Clinical Effect of Doxycycline Combined with Compound Sulfamethoxazole and Rifampicin in the Treatment of Brucellosis Spondylitis
Xin-Ming Yang, Yong-Li Jia, Ying Zhang, Pei-Nan Zhang, Yao Yao, Yan-Lin Yin, Ye Tian
Drug Design, Development and Therapy.2021; Volume 15: 4733. CrossRef
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