那么多讨论flu的,不如来看看柳叶刀的文章

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fibril
楼主 (北美华人网)
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5935243/table/T2/?report=objectonly
Table 2 Mean annual influenza-associated EMR per 100 000 population by age group for EMR-contributing countries

[td=2,1]Age <65 years [td=2,1] Age 65–74 years [td=2,1] Age ≥75 years
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Mean annual EMR* (SE) Analytic division Mean annual EMR* (SE) Analytic division Mean annual EMR* (SE) Analytic division
Argentina 3·0 (0·6) 3 44·0 (7·8) 3 223·5 (44·4) 3
Australia 0·5 (0·2) 1 3·5 (1·7) 1 20·8 (9·8) 1
Austria 1·0 (0·4) 1 11·9 (3·9) 1 63·8 (9·5) 1
Southern Brazil 1·0 (0·2) 2 19·8 (5·6) 3 111·1 (40·5) 3
Canada 0·4 (0·1) 1 6·1 (2·2) 1 44·5 (12·5) 1
Chile 1·4 (0·2) 1 30·4 (6·3) 1 187·4 (39·9) 2
China 0·7 (0·3) 1 19·1 (7·0) 2 112·7 (34·3) 1
Czech Republic 0·5 (0·1) 1 5·5 (0·9) 2 20·4 (3·5) 2
Denmark 0·6 (0·2) 1 4·2 (1·6) 1 51·0 (14·3) 2
Germany 0·4 (0·1) 1 2·9 (1·3) 1 21·0 (7·6) 1
Hong Kong 0·4 (0·05) 2 12·0 (1·3) 3 84·6 (9·3) 3
India 2·2 (1·2) 3 35·5 (12·3) 3 88·1 (30·4) 3
Israel 0·2 (0·05) 1 3·2 (0·8) 2 29·3 (4·9) 2
Japan 0·2 (0·03) 1 3·5 (0·4) 2 27·5 (2·9) 3
Kenya§ 6·4 (2·5) 3 ·· 3 ·· 3
Mexico 1·4 (0·3) 2 19·3 (4·5) 2 68·9 (22·1) 2
Netherlands 0·4 (0·1) 1 12·6 (2·5) 1 91·1 (19·9) 2
New Zealand 0·3 (0·1) 1 4·8 (1·2) 1 36·7 (7·7) 1
Norway 0·9 (0·2) 1 9·2 (2·2) 1 75·1 (8·1) 2
Portugal 2·2 (0·7) 2 25·3 (7·2) 2 118·1 (41·2) 3
Paraguay 0·6 (0·1) 2 10·3 (3·2) 2 92·0 (22·2) 2
Romania 0·6 (0·1) 3 6·7 (1·1) 2 20·2 (3·6) 1
Serbia 0·7 (0·2) 1 6·6 (2·2) 1 17·9 (5·6) 1
Singapore 1·5 (0·2) 2 39·5 (4·2) 3 187·9 (16·1) 3
South Africa 5·2 (0·4) 3 37·4 (4·0) 3 123·3 (7·5) 3
South Korea 0·1 (0·03) 1 3·8 (1·0) 2 24·9 (6·6) 2
Spain 0·3 (0·1) 1 6·8 (1·6) 1 54·7 (15·0) 1
Switzerland 0·3 (0·03) 1 4·8 (0·6) 1 33·4 (6·2) 1
Taiwan 0·2 (0·05) 2 3·4 (1·0) 2 33·4 (6·7) 3
Thailand 1·4 (0·9) 3 25·0 (16·0) 3 118·9 (76·0) 3
UK 2·4 (1·9) 1 17·3 (13·2) 1 66·6 (39·9) 2
Uruguay 2·4 (3·0) 2 40·6 (42·6) 2 199·5 (148·2) 2
USA 0·6 (0·1) 2 8·6 (1·0) 2 49·4 (6·2) 1


EMR=excess mortality rate.
*Mean annual respiratory EMRs per 100 000 population for EMR-contributing countries were calculated using an age-specific and country-specific Bayesian hierarchical model for seasonal or annual estimates and their standard errors.
†Analytic divisions were calculated using WHO Global Health Estimates of respiratory infection mortality.
‡The analytic divisions for Hong Kong and Taiwan were based on vital records data from the Census and Statistics Department of the Hong Kong Government and the Ministry of Health and Welfare in Taiwan because WHO Global Health Estimates did not generate estimates for Hong Kong or Taiwan.
§Influenza-associated respiratory EMR estimates were only available for the youngest age group (<65 years).
¶Influenza-associated respiratory EMR estimates include deaths in England and Wales only.
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namamae
65岁以下的数据很好啊,接近OECE水平。。 65岁以上和发达国家比还是有明显差距。。是针对老人的治疗手段不行?
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anw
看看新加坡、香港,说明经济发达程度不是唯一决定因素,和生活习惯、人口密度都有关吧。