[Number of seed locations]
1

[Initial number of infecteds]
100


[Administrative unit to seed initial infection into]
0


[Population size]
8715046
[ONS pop proj]

[Fix population size at specified value]
1

[Number of countries to include]
1

[List of names of countries to include]
Switzerland

[Number of level 1 administrative units to include]
0

[List of level 1 administrative units to include]
Aargau	Appenzell_Ausserrhoden	Appenzell_Innerrhoden	Basel-Landschaft	Basel-Stadt	Bern	Fribourg	Genève	Glarus	Graubünden	Jura	Lucerne	Neuchâtel	Nidwalden	Obwalden	Sankt_Gallen	Schaffhausen	Schwyz	Solothurn	Thurgau	Ticino	Uri	Valais	Vaud	Zug	Zürich

[Codes and country/province names for admin units]
520100	Switzerland	Aargau
520200	Switzerland	Appenzell_Ausserrhoden
520300	Switzerland	Appenzell_Innerrhoden
520400	Switzerland	Basel-Landschaft
520500	Switzerland	Basel-Stadt
520600	Switzerland	Bern
520700	Switzerland	Fribourg
520800	Switzerland	Genève
520900	Switzerland	Glarus
521000	Switzerland	Graubünden
521100	Switzerland	Jura
521200	Switzerland	Lucerne
521300	Switzerland	Neuchâtel
521400	Switzerland	Nidwalden
521500	Switzerland	Obwalden
521600	Switzerland	Sankt_Gallen
521700	Switzerland	Schaffhausen
521800	Switzerland	Schwyz
521900	Switzerland	Solothurn
522000	Switzerland	Thurgau
522100	Switzerland	Ticino
522200	Switzerland	Uri
522300	Switzerland	Valais
522400	Switzerland	Vaud
522500	Switzerland	Zug
522600	Switzerland	Zürich

[Mask for level 1 administrative units]
100000

[Divisor for level 1 administrative units]
100

[Divisor for countries]
100000

[Correct administrative unit populations]
0

[Age distribution of population]
0.052206695	0.050044496	0.047335307	0.049129609	0.055945392	0.064190355	0.069046606	0.071828936	0.065959584	0.068834118	0.078195941	0.074395658	0.061911802	0.051026169	0.048704518	0.038184701	0.053060112
[ONS proj for 2020]


[Household size distribution]
0.368000	0.328000	0.126000	0.125000	0.040000	0.008370	0.002526	0.000917	0.000469	0.000718
(ONS 2020 with IPUMS and national statistics)

[Correct age distribution after household allocation to exactly match specified demography]
1

[Include places]
1

[Place overlap matrix]
1 0 0 0
0 1 0 0
0 0 1 0
0 0 0 1

(note this isn't used - currently assume identity matrix)

[Number of types of places]
4

[Proportion of age group 1 in place types]
0.991182732	0.986254991	0	0.35020033500000003

[Minimum age for age group 1 in place types]
5	11	18	16	

[Maximum age for age group 1 in place types]
11	16	65	18	

[Proportion of age group 2 in place types]
0.248954627	0.938226339	0.649799665	0.061773661000000035

[Minimum age for age group 2 in place types]
3	16	18	18

[Maximum age for age group 2 in place types]
5	18	21	21

[Proportion of age group 3 in place types]
0.007177692	0.008113755	0.068973471	0.7889402010000001

[Minimum age for age group 3 in place types]
21	21	21	21

[Maximum age for age group 3 in place types]
65	65	65	65	

[Kernel shape params for place types]
3 3 3 3


[Kernel scale params for place types]
4000  4000  4000  4000

[Mean size of place types]
230 1010  3300  14.28

(inc teachers)

[Number of closest places people pick from (0=all) for place types]
3 3 6 0

[Param 1 of place group size distribution]
25  25  100 10

[Power of place size distribution]
0 0 0 1.34

[Offset of place size distribution]
0 0 0 5.35

[Maximum of place size distribution]
0 0 0 5927

[Kernel type]
2

[Kernel scale]
4000

[Kernel Shape]
3

===================================
[Include holidays]
1

[Proportion of places remaining open during holidays by place type]
0 0 1 1

[Number of holidays]
9

[Holiday start times]
108	176	274	356	400	472	540	638	720


[Holiday durations]
14	56	14	12	10	14	56	14	12

===================================

