دورية أكاديمية
أعرض في EDS

Spatio-temporal dynamics of measles outbreaks in Cameroon.

التفاصيل البيبلوغرافية
العنوان: Spatio-temporal dynamics of measles outbreaks in Cameroon.
المؤلفون: Parpia AS; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT., Skrip LA; Institute for Disease Modeling, Bellevue, WA., Nsoesie EO; Department of Global Health, Boston University School of Public Health, Boston, MA., Ngwa MC; Department of International Health, Johns Hopkins Bloomberg School of Public Health, MD., Abah Abah AS; Department of Epidemiological Surveillance, Ministry of Health, Yaoundé, Cameroon., Galvani AP; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT., Ndeffo-Mbah ML; Department of Veterinary and Integrative Biosciences, Texas A&M College of Veterinary Medicine and Biomedical Sciences, College Station, TX; Department of Epidemiology and Biostatistics, Texas A&M School of Public Health, College Station, TX. Electronic address: mndeffo@cvm.tamu.edu.
المصدر: Annals of epidemiology [Ann Epidemiol] 2020 Feb; Vol. 42, pp. 64-72.e3. Date of Electronic Publication: 2019 Nov 06.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Elsevier Country of Publication: United States NLM ID: 9100013 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2585 (Electronic) Linking ISSN: 10472797 NLM ISO Abbreviation: Ann Epidemiol Subsets: MEDLINE
أسماء مطبوعة: Original Publication: New York, NY : Elsevier, c1990-
مواضيع طبية MeSH: Vaccination Coverage*, Disease Outbreaks/*prevention & control , Measles/*prevention & control , Measles/*transmission , Measles Vaccine/*administration & dosage, Cameroon/epidemiology ; Cluster Analysis ; Humans ; Measles/epidemiology ; Rural Population ; Spatio-Temporal Analysis ; Urban Population ; Vaccination/statistics & numerical data
مستخلص: Purpose: In 2012, Cameroon experienced a large measles outbreak of over 14,000 cases. To determine the spatio-temporal dynamics of measles transmission in Cameroon, we analyzed weekly case data collected by the Ministry of Health.
Methods: We compared several multivariate time-series models of population movement to characterize the spatial spread of measles in Cameroon. Using the best model, we evaluated the contribution of population mobility to disease transmission at increasing geographic resolutions: region, department, and health district.
Results: Our spatio-temporal analysis showed that the power law model, which accounts for long-distance population movement, best represents the spatial spread of measles in Cameroon. Population movement between health districts within departments contributed to 7.6% (range: 0.4%-13.4%) of cases at the district level, whereas movement between departments within regions contributed to 16.0% (range: 1.3%-23.2%) of cases. Long-distance movement between regions contributed to 16.7% (range: 0.1%-59.0%) of cases at the region level, 20.1% (range: 7.1%-30.0%) at the department level, and 29.7% (range: 15.3%-47.6%) at the health district level.
Conclusions: Population long-distance mobility is an important driver of measles dynamics in Cameroon. These findings demonstrate the need to improve our understanding of the roles of population mobility and local heterogeneity of vaccination coverage in the spread and control of measles in Cameroon.
(Copyright © 2019 Elsevier Inc. All rights reserved.)
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معلومات مُعتمدة: K01 ES025438 United States ES NIEHS NIH HHS; U01 GM087719 United States GM NIGMS NIH HHS
فهرسة مساهمة: Keywords: Cameroon; Measles outbreaks; Multivariate models; Spatio-temporal analysis
المشرفين على المادة: 0 (Measles Vaccine)
تواريخ الأحداث: Date Created: 20200107 Date Completed: 20200601 Latest Revision: 20240726
رمز التحديث: 20240726
مُعرف محوري في PubMed: PMC7056523
DOI: 10.1016/j.annepidem.2019.10.007
PMID: 31902625
قاعدة البيانات: MEDLINE
الوصف
تدمد:1873-2585
DOI:10.1016/j.annepidem.2019.10.007