Title |
Respiratory Virus–Associated Severe Acute Respiratory Illness and Viral Clustering in Malawian Children in a Setting With a High Prevalence of HIV Infection, Malaria, and Malnutrition
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Published in |
Journal of Infectious Diseases, September 2016
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DOI | 10.1093/infdis/jiw426 |
Pubmed ID | |
Authors |
Ingrid Peterson, Naor Bar-Zeev, Neil Kennedy, Antonia Ho, Laura Newberry, Miguel A SanJoaquin, Mavis Menyere, Maaike Alaerts, Gugulethu Mapurisa, Moses Chilombe, Ivan Mambule, David G Lalloo, Suzanne T Anderson, Thembi Katangwe, Nigel Cunliffe, Nico Nagelkerke, Meredith McMorrow, Marc-Allain Widdowson, Neil French, Dean Everett, Robert S Heyderman |
Abstract |
We used four years of paediatric severe acute respiratory illness (SARI) sentinel surveillance in Blantyre, Malawi to identify factors associated with clinical severity and co-viral clustering. From January 2011 to December 2014, 2363 children aged 3 months to 14 years presenting to hospital with SARI were enrolled. Nasopharyngeal aspirates were tested for influenza and other respiratory viruses. We assessed risk factors for clinical severity and conducted clustering analysis to identify viral clusters in children with co-viral detection. Hospital-attended influenza-positive SARI incidence was 2.0 cases per 10,000 children annually; it was highest children aged under 1 year (6.3 cases per 10,000), and HIV-infected children aged 5 to 9 years (6.0 cases per 10,000). 605 (26.8%) SARI cases had warning signs, which were positively associated with HIV infection (adjusted risk ratio [aRR]: 2.4, 95% CI: 1.4, 3.9), RSV infection (aRR: 1.9, 95% CI: 1.3, 3.0) and rainy season (aRR: 2.4, 95% CI: 1.6, 3.8). We identified six co-viral clusters; one cluster was associated with SARI with warning signs. Influenza vaccination may benefit young children and HIV infected children in this setting. Viral clustering may be associated with SARI severity; its assessment should be included in routine SARI surveillance. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 97 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 15 | 15% |
Researcher | 11 | 11% |
Student > Ph. D. Student | 11 | 11% |
Student > Bachelor | 11 | 11% |
Student > Doctoral Student | 4 | 4% |
Other | 15 | 15% |
Unknown | 30 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 25 | 26% |
Nursing and Health Professions | 8 | 8% |
Agricultural and Biological Sciences | 6 | 6% |
Biochemistry, Genetics and Molecular Biology | 5 | 5% |
Social Sciences | 4 | 4% |
Other | 14 | 14% |
Unknown | 35 | 36% |