Assessing excess mortality in times of pandemics based on principal component analysis of weekly mortality data—the case of COVID-19

Vanella, Patrizio; Basellini, Ugofilippo; Lange, Berit

doi:10.1186/s41118-021-00123-9

Genus

Journal of Population Sciences

Table 3 Order of time series used in the analysis

From: Assessing excess mortality in times of pandemics based on principal component analysis of weekly mortality data—the case of COVID-19

Number	Country	Sex	Age group
1	Austria	Male	<65
2	Austria	Male	65–74
3	Austria	Male	75–84
4	Austria	Male	>84
5	Austria	Female	<65
6	Austria	Female	65–74
7	Austria	Female	75–84
8	Austria	Female	>84
9	Belgium	Male	<65
10	Belgium	Male	65–74
11	Belgium	Male	75–84
12	Belgium	Male	>84
13	Belgium	Female	<65
14	Belgium	Female	65–74
15	Belgium	Female	75–84
16	Belgium	Female	>84
17	Switzerland	Male	<65
18	Switzerland	Male	65–74
19	Switzerland	Male	75–84
20	Switzerland	Male	>84
21	Switzerland	Female	<65
22	Switzerland	Female	65–74
23	Switzerland	Female	75–84
24	Switzerland	Female	>84
25	Spain	Male	<65
26	Spain	Male	65–74
27	Spain	Male	75–84
28	Spain	Male	>84
29	Spain	Female	<65
30	Spain	Female	65–74
31	Spain	Female	75–84
32	Spain	Female	>84
33	Estonia	Male	<65
34	Estonia	Male	65–74
35	Estonia	Male	75–84
36	Estonia	Male	>84
37	Estonia	Female	<65
38	Estonia	Female	65–74
39	Estonia	Female	75–84
40	Estonia	Female	>84
41	Finland	Male	<65
42	Finland	Male	65–74
43	Finland	Male	75–84
44	Finland	Male	>84
45	Finland	Female	<65
46	Finland	Female	65–74
47	Finland	Female	75–84
48	Finland	Female	>84
49	France	Male	<65
50	France	Male	65–74
51	France	Male	75–84
52	France	Male	>84
53	France	Female	<65
54	France	Female	65–74
55	France	Female	75–84
56	France	Female	>84
57	Scotland	Male	<65
58	Scotland	Male	65–74
59	Scotland	Male	75–84
60	Scotland	Male	>84
61	Scotland	Female	<65
62	Scotland	Female	65–74
63	Scotland	Female	75–84
64	Scotland	Female	>84
65	Hungary	Male	<65
66	Hungary	Male	65–74
67	Hungary	Male	75–84
68	Hungary	Male	>84
69	Hungary	Female	<65
70	Hungary	Female	65–74
71	Hungary	Female	75–84
72	Hungary	Female	>84
73	Israel	Male	<65
74	Israel	Male	65–74
75	Israel	Male	75–84
76	Israel	Male	>84
77	Israel	Female	<65
78	Israel	Female	65–74
79	Israel	Female	75–84
80	Israel	Female	>84
81	Lithuania	Male	<65
82	Lithuania	Male	65–74
83	Lithuania	Male	75–84
84	Lithuania	Male	>84
85	Lithuania	Female	<65
86	Lithuania	Female	65–74
87	Lithuania	Female	75–84
88	Lithuania	Female	>84
89	Latvia	Male	<65
90	Latvia	Male	65–74
91	Latvia	Male	75–84
92	Latvia	Male	>84
93	Latvia	Female	<65
94	Latvia	Female	65–74
95	Latvia	Female	75–84
96	Latvia	Female	>84
97	Netherlands	Male	<65
98	Netherlands	Male	65–74
99	Netherlands	Male	75–84
100	Netherlands	Male	>84
101	Netherlands	Female	<65
102	Netherlands	Female	65–74
103	Netherlands	Female	75–84
104	Netherlands	Female	>84
105	Norway	Male	<65
106	Norway	Male	65–74
107	Norway	Male	75–84
108	Norway	Male	>84
109	Norway	Female	<65
110	Norway	Female	65–74
111	Norway	Female	75–84
112	Norway	Female	>84
113	Poland	Male	<65
114	Poland	Male	65–74
115	Poland	Male	75–84
116	Poland	Male	>84
117	Poland	Female	<65
118	Poland	Female	65–74
119	Poland	Female	75–84
120	Poland	Female	>84
121	Portugal	Male	<65
122	Portugal	Male	65–74
123	Portugal	Male	75–84
124	Portugal	Male	>84
125	Portugal	Female	<65
126	Portugal	Female	65–74
127	Portugal	Female	75–84
128	Portugal	Female	>84
129	Slovakia	Male	<65
130	Slovakia	Male	65–74
131	Slovakia	Male	75–84
132	Slovakia	Male	>84
133	Slovakia	Female	<65
134	Slovakia	Female	65–74
135	Slovakia	Female	75–84
136	Slovakia	Female	>84
137	Slovenia	Male	<65
138	Slovenia	Male	65–74
139	Slovenia	Male	75–84
140	Slovenia	Male	>84
141	Slovenia	Female	<65
142	Slovenia	Female	65–74
143	Slovenia	Female	75–84
144	Slovenia	Female	>84
145	Sweden	Male	<65
146	Sweden	Male	65–74
147	Sweden	Male	75–84
148	Sweden	Male	>84
149	Sweden	Female	<65
150	Sweden	Female	65–74
151	Sweden	Female	75–84
152	Sweden	Female	>84

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