Asthma prevalence

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Scope

What is the prevalence of asthma in the world now?

Definition

Data

Asthma prevalence in 2004

Country	prevalence (%)
Scotland	18.4
Jersey	17.6
Guernsey	17.5
Wales	16.8
Isle of Man	16.7
England	15.3
New Zealand	15.1
Australia	14.7
Republic of Ireland	14.6
Canada	14.1
Peru	13.0
Trinidad & Tobago	12.6
Costa Rica	11.9
Brazil	11.4
United States of America	10.9
Fiji	10.5
Paraguay	9.7
Uruguay	9.5
Israel	9.0
Barbados	8.9
Panama	8.8
Kuwait	8.5
Ukraine	8.3
Ecuador	8.2
South Africa	8.1
Czech Republic	8.0
Finland	8.0
Malta	8.0
Ivory Coast	7.8
Colombia	7.4
Turkey	7.4
Lebanon	7.2
Kenya	7.0
Germany	6.9
France	6.8
Norway	6.8
Japan	6.7
Sweden	6.5
Thailand	6.5
Hong Kong	6.2
Philippines	6.2
United Arab Emirates	6.2
Belgium	6.0
Austria	5.8
Spain	5.7
Saudi Arabia	5.6
Argentina	5.5
Iran	5.5
Estonia	5.4
Nigeria	5.4
Chile	5.1
Singapore	4.9
Malaysia	4.8
Portugal	4.8
Uzbekistan	4.6
FYR Macedonia	4.5
Italy	4.5
Oman	4.5
Pakistan	4.3
Tunisia	4.3
Cape Verde	4.2
Latvia	4.2
Poland	4.1
Algeria	3.9
South Korea	3.9
Bangladesh	3.8
Morocco	3.8
Occupied Territory of Palestine	3.6
Mexico	3.3
Ethiopia	3.1
Denmark	3.0
India	3.0
Taiwan	2.6
Cyprus	2.4
Switzerland	2.3
Russia	2.2
China	2.1
Greece	1.9
Georgia	1.8
Nepal	1.5
Romania	1.5
Albania	1.3
Indonesia	1.1
Macau	0.7

Unit

%

Formula

• Beta distribution assumed, variance for distribution parameter determination obtained by assuming normal distribution where 95% confidence interval is ± 50% of the mean.

asthma <- data.frame(Country=c('Scotland','Jersey','Guernsey','Wales','Isle of Man','England','New Zealand','Australia','Republic of Ireland', 
'Canada','Peru','Trinidad & Tobago','Costa Rica','Brazil','United States of America','Fiji','Paraguay','Uruguay','Israel','Barbados','Panama', 
'Kuwait','Ukraine','Ecuador','South Africa','Czech Republic','Finland','Malta','Ivory Coast','Colombia','Turkey','Lebanon','Kenya','Germany', 
'France','Norway','Japan','Sweden','Thailand','Hong Kong','Philippines','United Arab Emirates','Belgium','Austria','Spain','Saudi Arabia', 
'Argentina','Iran','Estonia','Nigeria','Chile','Singapore','Malaysia','Portugal','Uzbekistan','FYR Macedonia','Italy','Oman','Pakistan', 
'Tunisia','Cape Verde','Latvia','Poland','Algeria','South Korea','Bangladesh','Morocco','Occupied Territory of Palestine','Mexico','Ethiopia', 
'Denmark','India','Taiwan','Cyprus','Switzerland','Russia','China','Greece','Georgia','Nepal','Romania','Albania','Indonesia','Macau'), 
InitialPrevalence=c(18.4,17.6,17.5,16.8,16.7,15.3,15.1,14.7,14.6,14.1,13,12.6,11.9,11.4,10.9,10.5,9.7,9.5,9,8.9,8.8,8.5,8.3,8.2,8.1,8,8,8,7.8,
7.4,7.4,7.2,7,6.9,6.8,6.8,6.7,6.5,6.5,6.2,6.2,6.2,6,5.8,5.7,5.6,5.5,5.5,5.4,5.4,5.1,4.9,4.8,4.8,4.6,4.5,4.5,4.5,4.3,4.3,4.2,4.2,4.1,3.9,3.9,
3.8,3.8,3.6,3.3,3.1,3,3,2.6,2.4,2.3,2.2,2.1,1.9,1.8,1.5,1.5,1.3,1.1,0.7))
n <- 10000 #number of iterations
asthmaarray <- array(NA, dim = c(n, nrow(asthma)), dimnames = list(obs = 1:n, Country = asthma[,"Country"]))
#Below: functions for determining the alpha and beta parameters for the beta distribution from mean and var.
paralpha <- function(parmean, parvar) parmean * (parmean * (1 - parmean) / parvar - 1)
parbeta <- function(parmean, parvar) (1 - parmean) * (parmean * (1 - parmean) / parvar - 1) 
for(i in 1:nrow(asthma)) {asthmaarray[,i] <- 100*rbeta(n, paralpha(asthma[i,"InitialPrevalence"] / 100, (asthma[i,"InitialPrevalence"] * 
0.5 / 1.96 / 100)^2), parbeta(asthma[i,"InitialPrevalence"] / 100, (asthma[i,"InitialPrevalence"] * 0.5 / 1.96 / 100)^2))}
asthma <- as.data.frame(as.table(asthmaarray))

Result

{{#opasnet_base_link:Op_en4789}}

See also

• http://www.ginasthma.com/

Keywords

asthma, prevalence

Related files

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