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Using mathematical transmission modelling to investigate drivers of respiratory syncytial virus seasonality in children in the Philippines

Paynter, S; Yakob, L ; Simões, EAF; Lucero, MG; Tallo, V; Nohynek, H; Ware, RS; Weinstein, P; Williams, G; Sly, PD; (2014) Using mathematical transmission modelling to investigate drivers of respiratory syncytial virus seasonality in children in the Philippines. PLoS ONE, 9 (2). DOI: 10.1371/journal.pone.0090094 [Peer Reviewed Journal]

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  • Title:
    Using mathematical transmission modelling to investigate drivers of respiratory syncytial virus seasonality in children in the Philippines
  • Author: Paynter, S ; Yakob, L ; Simões, Eaf ; Lucero, Mg ; Tallo, V ; Nohynek, H ; Ware, Rs ; Weinstein, P ; Williams, G ; Sly, Pd
  • Found In: Paynter, S; Yakob, L ; Simões, EAF; Lucero, MG; Tallo, V; Nohynek, H; Ware, RS; Weinstein, P; Williams, G; Sly, PD; (2014) Using mathematical transmission modelling to investigate drivers of respiratory syncytial virus seasonality in children in the Philippines. PLoS ONE, 9 (2). DOI: 10.1371/journal.pone.0090094 [Peer Reviewed Journal]
  • Subjects: Motor Vehicle Drivers -- Analysis ; Motor Vehicle Drivers -- Investigations ; Motor Vehicle Drivers -- Models
  • Description: We used a mathematical transmission model to estimate when ecological drivers of respiratory syncytial virus (RSV) transmissibility would need to act in order to produce the observed seasonality of RSV in the Philippines. We estimated that a seasonal peak in transmissibility would need to occur approximately 51 days prior to the observed peak in RSV cases (range 49 to 67 days). We then compared this estimated seasonal pattern of transmissibility to the seasonal patterns of possible ecological drivers of transmissibility: rainfall, humidity and temperature patterns, nutritional status, and school holidays. The timing of the seasonal patterns of nutritional status and rainfall were both consistent with the estimated seasonal pattern of transmissibility and these are both plausible drivers of the seasonality of RSV in this setting.
  • Identifier: ISSN: ; DOI: : 10.1371/journal.pone.0090094

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