m1           package:surveillance           R Documentation(latin1)

_R_K_I _S_u_r_v_S_t_a_t _D_a_t_a

_D_e_s_c_r_i_p_t_i_o_n:

     14 datasets for different diseases beginning in 2001 to the 3rd
     Quarter of 2004 including their defined outbreaks.

        *  'm1' 'Masern' in the 'Landkreis Nordfriesland' (Germany,
           Schleswig-Holstein)

        *  'm2' 'Masern' in the 'Stadt- und Landkreis Coburg' (Germany,
           Bayern)

        *  'm3' 'Masern' in the 'Kreis Leer' (Germany, Niedersachsen)

        *  'm4' 'Masern' in the 'Stadt- und Landkreis Aachen' (Germany,
           Nordrhein-Westfalen)

        *  'm5' 'Masern' in the 'Stadt Verden' (Germany, Niedersachsen)

        *  'q1_nrwh' 'Q-Fieber' in the 'Hochsauerlandkreis' (Germany,
           Westfalen) and in the 'Landkreis Waldeck-Frankenberg'
           (Germany, Hessen)

        *  'q2' 'Q-Fieber' in 'Mnchen' (Germany, Bayern)

        *  's1' 'Salmonella Oranienburg' in Germany

        *  's2' 'Salmonella Agona' in 12 'Bundeslndern' of Germany

        *  's3' 'Salmonella Anatum' in Germany

        *  'k1' 'Kryptosporidiose' in Germany, 'Baden-Wrttemberg'

        *  'n1' 'Norovirus' in 'Stadtkreis Berlin Mitte' (Germany,
           Berlin)

        *  'n2' 'Norovirus' in 'Torgau-Oschatz' (Germany, Sachsen)

        *  'h1_nrwrp' 'Hepatitis A' in 'Oberbergischer Kreis, Olpe,
           Rhein-Sieg-kreis' (Germany, Nordrhein-Westfalen) and
           'Siegenwittgenstein Altenkirchen' (Germany, Rheinland-Pfalz)

_U_s_a_g_e:

     data(m1)

_F_o_r_m_a_t:

     'disProg' objects each containing 209 observations (weekly on 52
     weeks)

     _o_b_s_e_r_v_e_d Number of counts in the corresponding week

     _s_t_a_t_e Boolean whether there was an outbreak.

_S_o_u_r_c_e:

     Robert Koch-Institut: SurvStat: <URL:
     http://www3.rki.de/SurvStat>; m1 and m3 were queried on 10
     November 2004. The rest during September 2004.

_S_e_e _A_l_s_o:

     'readData'

_E_x_a_m_p_l_e_s:

         data(k1)
         survResObj <- algo.rki1(k1, control=list(range=27:192))
         plot(survResObj, "RKI 1", "k1", firstweek=27, startyear=2002)

