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      Childhood Leukemia in Small Geographical Areas and Proximity to Industrial Sources of Air Pollutants in Three Colombian Cities

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          Abstract

          Acute leukemia is the most common childhood cancer and has been associated with exposure to environmental carcinogens. This study aimed to identify clusters of acute childhood leukemia (ACL) cases and analyze their relationship with proximity to industrial sources of air pollution in three capital cities in Colombia during 2000–2015. Incident ACL cases were obtained from the population cancer registries for the cities of Bucaramanga, Cali, and Medellín. The inventory of industrial sources of emissions to the air was obtained from the regional environmental authorities and industrial conglomerates were identified. The Kulldorf’s circular scan test was used to detect city clusters and to identify clusters around industrial conglomerates. Multivariable spatial modeling assessed the effect of distance and direction from the industrial conglomerates controlling for socioeconomic status. We identified industrials sectors within a buffer of 1 km around industrial conglomerates related to the ACL clusters. Incidence rates showed geographical heterogeneity with low spatial autocorrelation within cities. The spatio-temporal tests identified one cluster in each city. The industries located within 1 km around the ACL clusters identified in the three cities represent different sectors. Exposure to air pollution from industrial sources might be contributing to the incidence of ACL cases in urban settings in Colombia.

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          International incidence of childhood cancer, 2001–10: a population-based registry study

          Summary Background Cancer is a major cause of death in children worldwide, and the recorded incidence tends to increase with time. Internationally comparable data on childhood cancer incidence in the past two decades are scarce. This study aimed to provide internationally comparable local data on the incidence of childhood cancer to promote research of causes and implementation of childhood cancer control. Methods This population-based registry study, devised by the International Agency for Research on Cancer in collaboration with the International Association of Cancer Registries, collected data on all malignancies and non-malignant neoplasms of the CNS diagnosed before age 20 years in populations covered by high-quality cancer registries with complete data for 2001–10. Incidence rates per million person-years for the 0–14 years and 0–19 years age groups were age-adjusted using the world standard population to provide age-standardised incidence rates (WSRs), using the age-specific incidence rates (ASR) for individual age groups (0–4 years, 5–9 years, 10–14 years, and 15–19 years). All rates were reported for 19 geographical areas or ethnicities by sex, age group, and cancer type. The regional WSRs for children aged 0–14 years were compared with comparable data obtained in the 1980s. Findings Of 532 invited cancer registries, 153 registries from 62 countries, departments, and territories met quality standards, and contributed data for the entire decade of 2001–10. 385 509 incident cases in children aged 0–19 years occurring in 2·64 billion person-years were included. The overall WSR was 140·6 per million person-years in children aged 0–14 years (based on 284 649 cases), and the most common cancers were leukaemia (WSR 46·4), followed by CNS tumours (WSR 28·2), and lymphomas (WSR 15·2). In children aged 15–19 years (based on 100 860 cases), the ASR was 185·3 per million person-years, the most common being lymphomas (ASR 41·8) and the group of epithelial tumours and melanoma (ASR 39·5). Incidence varied considerably between and within the described regions, and by cancer type, sex, age, and racial and ethnic group. Since the 1980s, the global WSR of registered cancers in children aged 0–14 years has increased from 124·0 (95% CI 123·3–124·7) to 140·6 (140·1–141·1) per million person-years. Interpretation This unique global source of childhood cancer incidence will be used for aetiological research and to inform public health policy, potentially contributing towards attaining several targets of the Sustainable Development Goals. The observed geographical, racial and ethnic, age, sex, and temporal variations require constant monitoring and research. Funding International Agency for Research on Cancer and the Union for International Cancer Control.
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            Paediatric cancer in low-income and middle-income countries.

            Patterns of cancer incidence across the world have undergone substantial changes as a result of industrialisation and economic development. However, the economies of most countries remain at an early or intermediate stage of development-these stages are characterised by poverty, too few health-care providers, weak health systems, and poor access to education, modern technology, and health care because of scattered rural populations. Low-income and middle-income countries also have younger populations and therefore a larger proportion of children with cancer than high-income countries. Most of these children die from the disease. Chronic infections, which remain the most common causes of disease-related death in all except high-income countries, can also be major risk factors for childhood cancer in poorer regions. We discuss childhood cancer in relation to global development and propose strategies that could result in improved survival. Education of the public, more and better-trained health professionals, strengthened cancer services, locally relevant research, regional hospital networks, international collaboration, and health insurance are all essential components of an enhanced model of care. Copyright © 2013 Elsevier Ltd. All rights reserved.
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              Spatial disease clusters: Detection and inference

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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                29 October 2020
                November 2020
                : 17
                : 21
                : 7925
                Affiliations
                [1 ]Department of Public Health, Universidad Industrial de Santander, Bucaramanga 680002, Colombia; avalbuena@ 123456cuentadealtocosto.org
                [2 ]Public Health Observatory of Santander, Fundación Oftalmológica de Santander, Floridablanca 681003, Colombia; rasief@ 123456gmail.com (F.E.M.-C.); rafael.ortiz@ 123456foscal.com.co (R.G.O.M.)
                [3 ]Cuenta de Alto Costo, Fondo Colombiano de Enfermedades de Alto Costo, Bogotá 110111, Colombia
                [4 ]Population Based Cancer Registry of the Metropolitan Area of Bucaramanga, Universidad Autónoma de Bucaramanga, Bucaramanga 681003, Colombia; curibep@ 123456unab.edu.co
                [5 ]Population Based Cancer Registry of Antioquia, Gobernación de Antioquia, Medellín 050015, Colombia; mary.brome@ 123456antioquia.gov.co
                [6 ]Cancer Institute Las Américas, Medellín 050022, Colombia; hgarcia@ 123456une.net.co
                [7 ]Population Based Cancer Registry of Cali, Universidad del Valle, Cali 760043, Colombia; luis.bravo@ 123456correounivalle.edu.co
                [8 ]Department of Pediatrics, Universidad Industrial de Santander, Bucaramanga 68002, Colombia; jurgnied@ 123456uis.edu.co
                [9 ]Department of Pediatrics, University of Alberta, Edmonton, AB T6G 1C9, Canada; osornio@ 123456ualberta.ca
                Author notes
                [* ]Correspondence: laurovi@ 123456uis.edu.co
                Author information
                https://orcid.org/0000-0002-5551-2586
                https://orcid.org/0000-0002-5007-3422
                https://orcid.org/0000-0002-3668-311X
                https://orcid.org/0000-0002-8401-4834
                https://orcid.org/0000-0001-8287-7102
                Article
                ijerph-17-07925
                10.3390/ijerph17217925
                7662935
                33137878
                206549df-342c-4cf8-abec-9f870511ddce
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 10 September 2020
                : 24 October 2020
                Categories
                Article

                Public health
                leukemia,childhood,cluster analysis,air pollution,industrial pollution,colombia
                Public health
                leukemia, childhood, cluster analysis, air pollution, industrial pollution, colombia

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