Page 239 - Contributed Paper Session (CPS) - Volume 3
P. 239

CPS2003 Bruno de S. et al.
            order random walk penalty with 20 inner knots. For the spatial components, a
            Gaussian Markov random field is used for the structured effects,  (.), and an
                                                                           
            iid Gaussian random effects for the unstructured effects,   (.) [10]. To take
            into account the excess of zeros and possible overdispersion of the data, a
            zero-inflated  negative  binomial  distribution  for  the  response  variable  was
            assumed [11]. Inference results are obtained considering a FB approach.

            3.   Results and Discussion
            3.1 Descriptive analysis
                Portugal shows a decrease of 42.3% in PTB incidence rates from 28.6 cases
            per 100 000 population in 2000 to 16.5 cases in 2010 (Figure 1a). When looking
            at sex differences (Figure 1b), the ratio man to woman was 2.4 in the period
            2000-2010, being stable over this time period. Regarding the ratio by age
            group, Figure 1b, there is almost the same number of new cases for men and
            women  before  the  age  of  25,  with  over  3  times  more  new  cases  of  men
            between the ages of 35 and 64. It is also worth noting that, although there is
            a decrease in the sex ratio for the age group greater than 64 years of age, this
            ratio is still equal to 2 for this class.
                With  respect  to  changes  in  age  over  time,  the  consistent  decrease  in
            incidence is followed by a consistent increase of the median age, Figure 1a,
            suggesting a decrease in PTB endemic in Portugal.




















              Figure 1: (a) Incidence (new cases per 100 000 population) versus median
              age, by year; (b) Sex ratio (men to women) of new PTB cases by age group
                                      for the period 2000-2010

                Factors such as alcohol or drug dependency, HIV co-infection, being an
            inmate, homeless or an immigrant could contribute to the increased risk of
            infection with TB, as well as of disseminating it if already ill. Figure 2 shows the
            yearly evolution of these factors in our database.




                                                               228 | I S I   W S C   2 0 1 9
   234   235   236   237   238   239   240   241   242   243   244