Assessment of surveillance predictors for suspected respiratory syncytial virus, influenza and Streptococcus pneumoniae infections in children aged <5 years in Madagascar

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Razanajatovo, Norosoa Harline | Andrianirina, Zo Zafitsara | Andriatahina, Todisoa | Guillebaud, Julia | Harimanana, Aina | Ratsima, Elisoa Hariniaina | Rakotoariniaina, Hervé | Orelle, Arnaud | Ratovoson, Rila | Irinantenaina, Judickaelle | Rakotonanahary, Dina Arinalina | Ramparany, Lovasoa | Randrianirina, Frédérique | Héraud, Jean-Michel | Richard, Vincent

Edité par CCSD ; Elsevier -

International audience. Background: The lack of rapid, sensitive and affordable diagnostic tests that can distinguish a wide variety of respiratory pathogens at the point of care is an obstacle to the rapid implementation of control measures following events and epidemics. In addition, the absence of a standardized case definition to differentiate putative aetiologies is a challenge to assessing the burden of disease. This study aimed to identify the clinical spectrum of respiratory pathogens commonly associated with respiratory tract infections in the context of disease surveillance.Methods: Data obtained from prospective hospital-based severe acute respiratory infection surveillance among children aged <5 years from November 2010 to July 2013 were used in this study.Results: Intercostal recession and dyspnoea were predictive of respiratory syncytial virus (RSV) infection, whereas headache and chills were more often observed during influenza A infection. Male patients were at a higher risk for RSV infection than female patients. Productive cough, chills, sweating and weight loss were significantly associated with Streptococcus pneumoniae infection. The presence of fever did not necessarily indicate RSV infection.Conclusions: Combined with other examinations, this study shows the value of including the syndromic approach in the panel of diagnostic criteria for rapid identification of the risk of infectious diseases in areas where laboratory diagnostics are challenging. Given the current situation with coronavirus disease 2019, this approach may help decision makers to implement appropriate control measures.

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