[Number of seed locations]
1

[Initial number of infecteds]
100


[Administrative unit to seed initial infection into]
0


[Population size]
3689995
[ONS pop proj]

[Fix population size at specified value]
1

[Number of countries to include]
1

[List of names of countries to include]
Moldova

[Number of level 1 administrative units to include]
0

[List of level 1 administrative units to include]
Anenii_Noi	B?l?i	Basarabeasca	Bender	Briceni	Cahul	Calarasi	Cantemir	Causeni	Chi?in?u	Cimi?lia	Criuleni	Donduseni	Drochia	Dub?sari	Edine?	F?le?ti	Flore?ti	G?g?uzia	Glodeni	Hīncesti	Ialoveni	Leova	Nisporeni	Ocni?a	Orhei	Rezina	Rī?cani	Sīngerei	?old?ne?ti	Soroca	?tefan_Voda	Str??eni	Taraclia	Telene?ti	Transnistria	Ungheni

[Codes and country/province names for admin units]
370100	Moldova	Anenii_Noi
370200	Moldova	B?l?i
370300	Moldova	Basarabeasca
370400	Moldova	Bender
370500	Moldova	Briceni
370600	Moldova	Cahul
370700	Moldova	Calarasi
370800	Moldova	Cantemir
370900	Moldova	Causeni
371000	Moldova	Chi?in?u
371100	Moldova	Cimi?lia
371200	Moldova	Criuleni
371300	Moldova	Donduseni
371400	Moldova	Drochia
371500	Moldova	Dub?sari
371600	Moldova	Edine?
371700	Moldova	F?le?ti
371800	Moldova	Flore?ti
371900	Moldova	G?g?uzia
372000	Moldova	Glodeni
372100	Moldova	Hīncesti
372200	Moldova	Ialoveni
372300	Moldova	Leova
372400	Moldova	Nisporeni
372500	Moldova	Ocni?a
372600	Moldova	Orhei
372700	Moldova	Rezina
372800	Moldova	Rī?cani
372900	Moldova	Sīngerei
373000	Moldova	?old?ne?ti
373100	Moldova	Soroca
373200	Moldova	?tefan_Voda
373300	Moldova	Str??eni
373400	Moldova	Taraclia
373500	Moldova	Telene?ti
373600	Moldova	Transnistria
373700	Moldova	Ungheni

[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]
0.050203733	0.054918203	0.053761029	0.050177952	0.059771991	0.081734761	0.10361746	0.088222673	0.074784275	0.064733117	0.058122496	0.071034613	0.063987944	0.057056547	0.026131871	0.019726011	0.022015323
[ONS proj for 2020]


[Household size distribution]
0.226409	0.238729	0.197439	0.192104	0.086595	0.029301	0.013231	0.006508	0.003758	0.005926
(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]
0.837409627	0.898731845	0	0.452502325

[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]
0.775901723	0.847272566	0.547497675	0.152727434

[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]
0.00517125	0.007032232	0.039719521	0.746945104

[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]
109	165	299	355	396	473	529	663	719	


[Holiday durations]
16	90	9	22	9	16	90	9	22	

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

