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Spatio-temporal analysis of Pertussis using geographic information system among Iranian population during 2012-2018
Background: In spite of existing vaccination programs in many countries, outbreaks of pertussis are still reported. In Iran, the suspected and confirmed cases of pertussis are reported annually. Due to the lack of similar studies, the purpose of the current study was to determine the Spatio-temporal...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Iran University of Medical Sciences
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7293812/ https://www.ncbi.nlm.nih.gov/pubmed/32551311 http://dx.doi.org/10.34171/mjiri.34.22 |
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author | Alimohamadi, Yousef Zahraei, Seyed Mohsen Karami, Manoochehr Yaseri, Mehdi Lotfizad, Mojtaba Holakouie-Naieni, Kourosh |
author_facet | Alimohamadi, Yousef Zahraei, Seyed Mohsen Karami, Manoochehr Yaseri, Mehdi Lotfizad, Mojtaba Holakouie-Naieni, Kourosh |
author_sort | Alimohamadi, Yousef |
collection | PubMed |
description | Background: In spite of existing vaccination programs in many countries, outbreaks of pertussis are still reported. In Iran, the suspected and confirmed cases of pertussis are reported annually. Due to the lack of similar studies, the purpose of the current study was to determine the Spatio-temporal distribution of Pertussis using Geographic Information System (GIS) to identify high-risk areas in Iran during 2012-2018. Methods: In the current cross-sectional study, registered data in the department of vaccine-preventable diseases in the Iranian ministry of health were used. To assess the temporal trend, the Cochran–Armitage test was used. To show the spatial distribution and to identify hotspot areas, Choropleth map and Getis-Ord Gi statistics were used. All analyses performed by Arc.map10.5, Stata 15 and Excel 2010. Results: The incidence of suspect pertussis cases had an increasing trend but did not have a linear trend (p=0.06). Most of the cases happened in under 1 year infants (62.66%). The incidence of reported cases in northern areas was higher than in the Southern areas. The Zanjan had the most reported cases during the understudied period with a median of 7.63 reported cases per 100,000. The clustering of infection and hotspots were identified in northern areas of Iran including Qazvin, Qom, Markazi, and Hamadan. Conclusion: Our results showed that the cumulative incidence of reported cases is increasing. The northern provinces had the highest incidence of Pertussis. Therefore, the causes of this spatio-temporal pattern of pertussis should be determined. Also, supervision on vaccination programs in high-risk areas is recommended. |
format | Online Article Text |
id | pubmed-7293812 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Iran University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-72938122020-06-17 Spatio-temporal analysis of Pertussis using geographic information system among Iranian population during 2012-2018 Alimohamadi, Yousef Zahraei, Seyed Mohsen Karami, Manoochehr Yaseri, Mehdi Lotfizad, Mojtaba Holakouie-Naieni, Kourosh Med J Islam Repub Iran Original Article Background: In spite of existing vaccination programs in many countries, outbreaks of pertussis are still reported. In Iran, the suspected and confirmed cases of pertussis are reported annually. Due to the lack of similar studies, the purpose of the current study was to determine the Spatio-temporal distribution of Pertussis using Geographic Information System (GIS) to identify high-risk areas in Iran during 2012-2018. Methods: In the current cross-sectional study, registered data in the department of vaccine-preventable diseases in the Iranian ministry of health were used. To assess the temporal trend, the Cochran–Armitage test was used. To show the spatial distribution and to identify hotspot areas, Choropleth map and Getis-Ord Gi statistics were used. All analyses performed by Arc.map10.5, Stata 15 and Excel 2010. Results: The incidence of suspect pertussis cases had an increasing trend but did not have a linear trend (p=0.06). Most of the cases happened in under 1 year infants (62.66%). The incidence of reported cases in northern areas was higher than in the Southern areas. The Zanjan had the most reported cases during the understudied period with a median of 7.63 reported cases per 100,000. The clustering of infection and hotspots were identified in northern areas of Iran including Qazvin, Qom, Markazi, and Hamadan. Conclusion: Our results showed that the cumulative incidence of reported cases is increasing. The northern provinces had the highest incidence of Pertussis. Therefore, the causes of this spatio-temporal pattern of pertussis should be determined. Also, supervision on vaccination programs in high-risk areas is recommended. Iran University of Medical Sciences 2020-03-18 /pmc/articles/PMC7293812/ /pubmed/32551311 http://dx.doi.org/10.34171/mjiri.34.22 Text en © 2020 Iran University of Medical Sciences http://creativecommons.org/licenses/by-nc-sa/1.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution NonCommercial-ShareAlike 1.0 License (CC BY-NC-SA 1.0), which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly. |
spellingShingle | Original Article Alimohamadi, Yousef Zahraei, Seyed Mohsen Karami, Manoochehr Yaseri, Mehdi Lotfizad, Mojtaba Holakouie-Naieni, Kourosh Spatio-temporal analysis of Pertussis using geographic information system among Iranian population during 2012-2018 |
title | Spatio-temporal analysis of Pertussis using geographic information system among Iranian population during 2012-2018 |
title_full | Spatio-temporal analysis of Pertussis using geographic information system among Iranian population during 2012-2018 |
title_fullStr | Spatio-temporal analysis of Pertussis using geographic information system among Iranian population during 2012-2018 |
title_full_unstemmed | Spatio-temporal analysis of Pertussis using geographic information system among Iranian population during 2012-2018 |
title_short | Spatio-temporal analysis of Pertussis using geographic information system among Iranian population during 2012-2018 |
title_sort | spatio-temporal analysis of pertussis using geographic information system among iranian population during 2012-2018 |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7293812/ https://www.ncbi.nlm.nih.gov/pubmed/32551311 http://dx.doi.org/10.34171/mjiri.34.22 |
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