Estimating influenza and respiratory syncytial virus-associated mortality in Western Kenya using health and demographic surveillance system data, 2007-2013
Publication Date
July 07, 2017
Authors
Gideon O. Emukule, Peter Spreeuwenberg, Sandra S. Chaves, Joshua A. Mott, et al
Volume
12
Issue
7
Pages
e0180890
DOI
https://dx.plos.org/10.1371/journal.pone.0180890
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0180890
Scopus
85022345565
Mendeley
http://www.mendeley.com/research/estimating-influenza-respiratory-syncytial-virusassociated-mortality-western-kenya-using-health-demo
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Mendeley | Further Information

{"title"=>"Estimating influenza and respiratory syncytial virus-associated mortality in Western Kenya using health and demographic surveillance system data, 2007-2013", "type"=>"journal", "authors"=>[{"first_name"=>"Gideon O.", "last_name"=>"Emukule", "scopus_author_id"=>"36243253000"}, {"first_name"=>"Peter", "last_name"=>"Spreeuwenberg", "scopus_author_id"=>"6602153923"}, {"first_name"=>"Sandra S.", "last_name"=>"Chaves", "scopus_author_id"=>"7003574010"}, {"first_name"=>"Joshua A.", "last_name"=>"Mott", "scopus_author_id"=>"9943225300"}, {"first_name"=>"Stefano", "last_name"=>"Tempia", "scopus_author_id"=>"16043958800"}, {"first_name"=>"Godfrey", "last_name"=>"Bigogo", "scopus_author_id"=>"36080353200"}, {"first_name"=>"Bryan", "last_name"=>"Nyawanda", "scopus_author_id"=>"56013776800"}, {"first_name"=>"Amek", "last_name"=>"Nyaguara", "scopus_author_id"=>"55325284700"}, {"first_name"=>"Marc Alain", "last_name"=>"Widdowson", "scopus_author_id"=>"26429004600"}, {"first_name"=>"Koos", "last_name"=>"Van Der Velden", "scopus_author_id"=>"6603398675"}, {"first_name"=>"John W.", "last_name"=>"Paget", "scopus_author_id"=>"15019607200"}], "year"=>2017, "source"=>"PLoS ONE", "identifiers"=>{"isbn"=>"1111111111", "scopus"=>"2-s2.0-85022345565", "pui"=>"617202864", "doi"=>"10.1371/journal.pone.0180890", "issn"=>"19326203", "pmid"=>"28686692", "sgr"=>"85022345565"}, "id"=>"009021cf-314a-3b57-9a24-985cc5b7a79d", "abstract"=>"Background Influenza and respiratory syncytial virus (RSV) associated mortality has not been well-established in tropical Africa. Methods We used the negative binomial regression method and the rate-difference method (i.e. deaths during low and high influenza/RSV activity months), to estimate excess mortality attributable to influenza and RSV using verbal autopsy data collected through a health and demographic surveillance system in Western Kenya, 2007–2013. Excess mortality rates were calculated for a) all-cause mortality, b) respiratory deaths (including pneumonia), c) HIV-related deaths, and d) pulmonary tuberculosis (TB) related deaths. Results Using the negative binomial regression method, the mean annual all-cause excess mortality rate associated with influenza and RSV was 14.1 (95% confidence interval [CI] 0.0–93.3) and 17.1 (95% CI 0.0–111.5) per 100,000 person-years (PY) respectively; and 10.5 (95% CI 0.0–28.5) and 7.3 (95% CI 0.0–27.3) per 100,000 PY for respiratory deaths, respectively. Highest mortality rates associated with influenza were among ≥50 years, particularly among persons with TB (41.6[95% CI 0.0–122.7]); and with RSV were among <5 years. Using the rate-difference method, the excess mortality rate for influenza and RSV was 44.8 (95% CI 36.8–54.4) and 19.7 (95% CI 14.7–26.5) per 100,000 PY, respectively, for all-cause deaths; and 9.6 (95% CI 6.3–14.7) and 6.6 (95% CI 3.9–11.0) per 100,000 PY, respectively, for respiratory deaths. Conclusions Our study shows a substantial excess mortality associated with influenza and RSV in Western Kenya, especially among children <5 years and older persons with TB, supporting recommendations for influenza vaccination and efforts to develop RSV vaccines.", "link"=>"http://www.mendeley.com/research/estimating-influenza-respiratory-syncytial-virusassociated-mortality-western-kenya-using-health-demo", "reader_count"=>16, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>1, "Researcher"=>1, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>3, "Student > Postgraduate"=>1, "Student > Master"=>2, "Other"=>1, "Student > Bachelor"=>3, "Lecturer"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>1, "Researcher"=>1, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>3, "Student > Postgraduate"=>1, "Student > Master"=>2, "Other"=>1, "Student > Bachelor"=>3, "Lecturer"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Nursing and Health Professions"=>1, "Mathematics"=>1, "Agricultural and Biological Sciences"=>3, "Medicine and Dentistry"=>8, "Physics and Astronomy"=>1, "Social Sciences"=>1, "Immunology and Microbiology"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>8}, "Social Sciences"=>{"Social Sciences"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>3}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Mathematics"=>{"Mathematics"=>1}}, "group_count"=>1}

Scopus | Further Information

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