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How to improve the human brucellosis surveillance system in Kurdistan Province, Iran: reduce the delay in the diagnosis time

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...

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Autores principales: Olfatifar, Meysam, Hosseini, Seyed Mehdi, Shokri, Payam, Khodakarim, Soheila, Khadembashi, Naghmeh, Rahimi Pordanjani, Sajjad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Epidemiology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7871156/
https://www.ncbi.nlm.nih.gov/pubmed/32777881
http://dx.doi.org/10.4178/epih.e2020058
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author Olfatifar, Meysam
Hosseini, Seyed Mehdi
Shokri, Payam
Khodakarim, Soheila
Khadembashi, Naghmeh
Rahimi Pordanjani, Sajjad
author_facet Olfatifar, Meysam
Hosseini, Seyed Mehdi
Shokri, Payam
Khodakarim, Soheila
Khadembashi, Naghmeh
Rahimi Pordanjani, Sajjad
author_sort Olfatifar, Meysam
collection PubMed
description 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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spelling pubmed-78711562021-02-12 How to improve the human brucellosis surveillance system in Kurdistan Province, Iran: reduce the delay in the diagnosis time Olfatifar, Meysam Hosseini, Seyed Mehdi Shokri, Payam Khodakarim, Soheila Khadembashi, Naghmeh Rahimi Pordanjani, Sajjad Epidemiol Health Epidemiologic Investigation 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. Korean Society of Epidemiology 2020-08-10 /pmc/articles/PMC7871156/ /pubmed/32777881 http://dx.doi.org/10.4178/epih.e2020058 Text en ©2020, Korean Society of Epidemiology This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Epidemiologic Investigation
Olfatifar, Meysam
Hosseini, Seyed Mehdi
Shokri, Payam
Khodakarim, Soheila
Khadembashi, Naghmeh
Rahimi Pordanjani, Sajjad
How to improve the human brucellosis surveillance system in Kurdistan Province, Iran: reduce the delay in the diagnosis time
title How to improve the human brucellosis surveillance system in Kurdistan Province, Iran: reduce the delay in the diagnosis time
title_full How to improve the human brucellosis surveillance system in Kurdistan Province, Iran: reduce the delay in the diagnosis time
title_fullStr How to improve the human brucellosis surveillance system in Kurdistan Province, Iran: reduce the delay in the diagnosis time
title_full_unstemmed How to improve the human brucellosis surveillance system in Kurdistan Province, Iran: reduce the delay in the diagnosis time
title_short How to improve the human brucellosis surveillance system in Kurdistan Province, Iran: reduce the delay in the diagnosis time
title_sort how to improve the human brucellosis surveillance system in kurdistan province, iran: reduce the delay in the diagnosis time
topic Epidemiologic Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7871156/
https://www.ncbi.nlm.nih.gov/pubmed/32777881
http://dx.doi.org/10.4178/epih.e2020058
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