Page 64 - Contributed Paper Session (CPS) - Volume 3
P. 64

CPS1944 Oyelola A.
                  mortality caused by pneumococcal pneumonia (55.4%) is the highest among
                  LRIs  [21].  In  Australia,  pneumonia  accounted  for  an  estimated  1.5%  of  all
                  overnight hospital admission in 2012-2013 [2]. In this study, we quantified the
                  lagged-pneumonia     and    exposure-pneumonia      associations   due   to
                  temperature and rainfall in wet-dry  tropics of Australia.  The burden of  the
                  disease attributable to the two weather variables was also estimated. Some
                  countries  have  reported  increases  pattern  of  infectious  disease  among
                  minorities [22], among children [23, 24] and older age group [25] which is
                  consistent with our study.
                      This study has several strengths. To our knowledge this is the first study to
                  estimate the burden of pneumonia attributable to weather in Australia. The
                  use of DLNMs to explore attributable risk among vulnerable groups, give more
                  insight into varying prolong exposure to weather in the community which will
                  be useful in discussion-making. The two major limitations were noted in this
                  study. First, the choice of lag-exposure use to investigate the delayed effect of
                  weather variables was based on model selection criteria for better fit and not
                  scientific justification. Second, few smooth functions were explored to capture
                  the  exposure-lag-response  relationships.  These  smoothing  methods  are
                  difficult to validate in DLNM [16]. Several lags up to 15 weeks (although, we
                  did not extend the lags beyond 15 weeks) and functional relationships for
                  exposure-lag-response were assessed by QAIC.

                  References
                  1.  Hoy, W.E., Australian burden of disease study: impact and causes of illness
                      and death in Australia 2011. 2016.
                  2.  Australian  Institute  of  Health  and  Welfare,  Australian  hospital  statistics
                      2012–13, in Health services series. 2014, AIHW: Canberra.
                  3.  Green, R.S., et al., The effect of temperature on hospital admissions in nine
                      California counties. International journal of public health, 2010. 55(2): p.
                      113-121.
                  4.  Song, G., et al., Diurnal temperature range as a novel risk factor for COPD
                      death. Respirology, 2008. 13(7): p. 1066-1069.
                  5.  Xu, Z., et al., Impact of temperature on childhood pneumonia estimated
                      from satellite remote sensing. Environmental research, 2014. 132: p. 334-
                      341.
                  6.  Xu,  Z.,  W.  Hu,  and  S.  Tong,  Temperature  variability  and  childhood
                      pneumonia: an ecological study. Environmental Health, 2014. 13(1): p. 51.
                  7.  Chan,  P.,  et  al.,  Seasonal  variation  in  respiratory  syncytial  virus  chest
                      infection in the tropics. Pediatric pulmonology, 2002. 34(1): p. 47-51.
                  8.  Paynter, S., et al., Sunshine, rainfall, humidity and child pneumonia in the
                      tropics: time-series analyses. Epidemiology & Infection, 2013. 141(6): p.
                      1328-1336.

                                                                      53 | I S I   W S C   2 0 1 9
   59   60   61   62   63   64   65   66   67   68   69