TY - JOUR
T1 - Severe acute respiratory illness deaths in sub-Saharan Africa and the role of influenza: a case series from 8 countries
AU - McMorrow, Meredith L
AU - Wemakoy, Emile Okitolonda
AU - Tshilobo, Joelle Kabamba
AU - Emukule, Gideon O
AU - Mott, Joshua A
AU - Njuguna, Henry
AU - Waiboci, Lilian
AU - Heraud, Jean-Michel
AU - Rajatonirina, Soatianana
AU - Razanajatovo, Norosoa H
AU - Chilombe, Moses
AU - Everett, Dean
AU - Heyderman, Robert S
AU - Barakat, Amal
AU - Nyatanyi, Thierry
AU - Rukelibuga, Joseph
AU - Cohen, Adam L
AU - Cohen, Cheryl
AU - Tempia, Stefano
AU - Thomas, Juno
AU - Venter, Marietjie
AU - Mwakapeje, Elibariki
AU - Mponela, Marcelina
AU - Lutwama, Julius
AU - Duque, Jazmin
AU - Lafond, Kathryn
AU - Nzussouo, Ndahwouh Talla
AU - Williams, Thelma
AU - Widdowson, Marc-Alain
N1 - PPU; Published by Oxford University Press on behalf of the Infectious Diseases Society of America 2015. This work is written by (a) US Government employee(s) and is in the public domain in the US.
PY - 2015
Y1 - 2015
N2 - BACKGROUND: Data on causes of death due to respiratory illness in Africa are limited.METHODS: From January to April 2013, 28 African countries were invited to participate in a review of severe acute respiratory illness (SARI)-associated deaths identified from influenza surveillance during 2009-2012.RESULTS: Twenty-three countries (82%) responded, 11 (48%) collect mortality data, and 8 provided data. Data were collected from 37 714 SARI cases, and 3091 (8.2%; range by country, 5.1%-25.9%) tested positive for influenza virus. There were 1073 deaths (2.8%; range by country, 0.1%-5.3%) reported, among which influenza virus was detected in 57 (5.3%). Case-fatality proportion (CFP) was higher among countries with systematic death reporting than among those with sporadic reporting. The influenza-associated CFP was 1.8% (57 of 3091), compared with 2.9% (1016 of 34 623) for influenza virus-negative cases (P < .001). Among 834 deaths (77.7%) tested for other respiratory pathogens, rhinovirus (107 [12.8%]), adenovirus (64 [6.0%]), respiratory syncytial virus (60 [5.6%]), and Streptococcus pneumoniae (57 [5.3%]) were most commonly identified. Among 1073 deaths, 402 (37.5%) involved people aged 0-4 years, 462 (43.1%) involved people aged 5-49 years, and 209 (19.5%) involved people aged ≥50 years.CONCLUSIONS: Few African countries systematically collect data on outcomes of people hospitalized with respiratory illness. Stronger surveillance for deaths due to respiratory illness may identify risk groups for targeted vaccine use and other prevention strategies.
AB - BACKGROUND: Data on causes of death due to respiratory illness in Africa are limited.METHODS: From January to April 2013, 28 African countries were invited to participate in a review of severe acute respiratory illness (SARI)-associated deaths identified from influenza surveillance during 2009-2012.RESULTS: Twenty-three countries (82%) responded, 11 (48%) collect mortality data, and 8 provided data. Data were collected from 37 714 SARI cases, and 3091 (8.2%; range by country, 5.1%-25.9%) tested positive for influenza virus. There were 1073 deaths (2.8%; range by country, 0.1%-5.3%) reported, among which influenza virus was detected in 57 (5.3%). Case-fatality proportion (CFP) was higher among countries with systematic death reporting than among those with sporadic reporting. The influenza-associated CFP was 1.8% (57 of 3091), compared with 2.9% (1016 of 34 623) for influenza virus-negative cases (P < .001). Among 834 deaths (77.7%) tested for other respiratory pathogens, rhinovirus (107 [12.8%]), adenovirus (64 [6.0%]), respiratory syncytial virus (60 [5.6%]), and Streptococcus pneumoniae (57 [5.3%]) were most commonly identified. Among 1073 deaths, 402 (37.5%) involved people aged 0-4 years, 462 (43.1%) involved people aged 5-49 years, and 209 (19.5%) involved people aged ≥50 years.CONCLUSIONS: Few African countries systematically collect data on outcomes of people hospitalized with respiratory illness. Stronger surveillance for deaths due to respiratory illness may identify risk groups for targeted vaccine use and other prevention strategies.
KW - Adolescent
KW - Adult
KW - Africa South of the Sahara/epidemiology
KW - Age Distribution
KW - Aged
KW - Bacterial Infections/epidemiology
KW - Child
KW - Child, Preschool
KW - Humans
KW - Infant
KW - Infant, Newborn
KW - Influenza, Human/epidemiology
KW - Middle Aged
KW - Population Surveillance
KW - Respiratory Tract Infections/epidemiology
KW - Young Adult
U2 - 10.1093/infdis/jiv100
DO - 10.1093/infdis/jiv100
M3 - A1: Web of Science-article
C2 - 25712970
SN - 0022-1899
VL - 212
SP - 853
EP - 860
JO - Journal of Infectious Diseases
JF - Journal of Infectious Diseases
IS - 6
ER -