tetano
Editor, Senior Moderator
Trop Med Int Health
. 2021 Mar 5.
doi: 10.1111/tmi.13571. Online ahead of print.
Seasonality of distinct respiratory viruses in a tropical city: implications for prophylaxis
Ruth-Kelly O Santos[SUP] 1 2 [/SUP], Igor C Borges[SUP] 1 [/SUP], Mariana L Souza[SUP] 2 [/SUP], Maiara L Bouzas[SUP] 1 [/SUP], Cristiana M Nascimento-Carvalho[SUP] 1 3 [/SUP]
Affiliations
Abstract
Objective: The frequency and seasonality of viruses in tropical regions are scarcely reported. We estimated the frequency of 7 respiratory viruses and assessed seasonality of respiratory syncytial virus (RSV) and influenza viruses in a tropical city.
Methods: Children (age≤18 years) with acute respiratory infection were investigated in Salvador, Brazil, between July 2014 and June 2017. Respiratory viruses were searched by direct immunofluorescence and real-time polymerase chain reaction for detection of RSV, influenza A virus, influenza B virus, adenovirus (ADV) and parainfluenza viruses (PIV) 1, 2 and 3. Seasonal distribution was evaluated by Prais-Winsten regression. Due to similar distribution, influenza A and influenza B viruses were grouped to analyze seasonality.
Results: The study group comprised 387 cases whose median (IQR) age was 26.4 (10.5-50.1) months. Respiratory viruses were detected in 106 (27.4%) cases. RSV (n=76; 19.6%), influenza A virus (n=11; 2.8%), influenza B virus (n=7; 1.8%), ADV (n=5; 1.3%), PIV 1 (n=5; 1.3%), PIV 3 (n=3; 0.8%), and PIV 2 (n=1; 0.3%) were identified. Monthly count of RSV cases demonstrated seasonal distribution (b3=0.626; p=0.003). More than half (42/76 [55.3%]) of all RSV cases were detected from April to June. Monthly count of influenza cases also showed seasonal distribution (b3=-0.264; p=0.032). Influenza cases peaked from November to January with 44.4% (8/18) of all influenza cases.
Conclusions: RSV was the most frequently detected virus. RSV and influenza viruses showed seasonal distribution. These data may be useful to plan the best time to carry out prophylaxis and to increase the number of hospital beds.
Keywords: influenza; meteorological factors; respiratory syncytial virus; seasonality; weather.
. 2021 Mar 5.
doi: 10.1111/tmi.13571. Online ahead of print.
Seasonality of distinct respiratory viruses in a tropical city: implications for prophylaxis
Ruth-Kelly O Santos[SUP] 1 2 [/SUP], Igor C Borges[SUP] 1 [/SUP], Mariana L Souza[SUP] 2 [/SUP], Maiara L Bouzas[SUP] 1 [/SUP], Cristiana M Nascimento-Carvalho[SUP] 1 3 [/SUP]
Affiliations
- PMID: 33666303
- DOI: 10.1111/tmi.13571
Abstract
Objective: The frequency and seasonality of viruses in tropical regions are scarcely reported. We estimated the frequency of 7 respiratory viruses and assessed seasonality of respiratory syncytial virus (RSV) and influenza viruses in a tropical city.
Methods: Children (age≤18 years) with acute respiratory infection were investigated in Salvador, Brazil, between July 2014 and June 2017. Respiratory viruses were searched by direct immunofluorescence and real-time polymerase chain reaction for detection of RSV, influenza A virus, influenza B virus, adenovirus (ADV) and parainfluenza viruses (PIV) 1, 2 and 3. Seasonal distribution was evaluated by Prais-Winsten regression. Due to similar distribution, influenza A and influenza B viruses were grouped to analyze seasonality.
Results: The study group comprised 387 cases whose median (IQR) age was 26.4 (10.5-50.1) months. Respiratory viruses were detected in 106 (27.4%) cases. RSV (n=76; 19.6%), influenza A virus (n=11; 2.8%), influenza B virus (n=7; 1.8%), ADV (n=5; 1.3%), PIV 1 (n=5; 1.3%), PIV 3 (n=3; 0.8%), and PIV 2 (n=1; 0.3%) were identified. Monthly count of RSV cases demonstrated seasonal distribution (b3=0.626; p=0.003). More than half (42/76 [55.3%]) of all RSV cases were detected from April to June. Monthly count of influenza cases also showed seasonal distribution (b3=-0.264; p=0.032). Influenza cases peaked from November to January with 44.4% (8/18) of all influenza cases.
Conclusions: RSV was the most frequently detected virus. RSV and influenza viruses showed seasonal distribution. These data may be useful to plan the best time to carry out prophylaxis and to increase the number of hospital beds.
Keywords: influenza; meteorological factors; respiratory syncytial virus; seasonality; weather.