SantΓ© Publique Test

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SantΓ© Publique Test

 

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Prevalence is useful:

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αž“αŸ…αž€αž˜αŸ’αž–αž»αž‡αžΆ αž’αžαŸ’αžšαžΆαž˜αžšαžŽαŸˆαž—αžΆαž–αžšαž”αžŸαŸ‹αž˜αžΆαžαžΆαž˜αžΆαž“ ៦០ αž—αžΆαž‚ ៑០០០ αž€αžΎαžαžšαžŸαŸ‹αŸ” αž˜αžΆαž“αž“αŸαž™αžαžΆ:

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Period prevalent .Refers to:

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This formula for calculated:

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Definition of ordinal scale, an ordinal scale assigns:

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In an epidemic ( or outbreak ) of food poisoning, there were 10 cases of male and 40 cases of female among 120 female and 80 male exposed. Overall attack rate is:

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A high prevalence may indicate a:

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The numerator of calculation age- and sex specific death rate is:

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αž“αŸ…αž€αŸ’αž“αž»αž„αžαŸαžαŸ’αžαž”αŸ‰αŸƒαž›αž·αž“αž˜αžΆαž“αž”αŸ’αžšαž‡αžΆαž‡αž“ αŸ¦αŸ αŸ αŸ αŸ αž“αžΆαž€αŸ‹ αž“αŸ…αžŠαžΎαž˜αž†αŸ’αž“αžΆαŸ†αŸ’αŸ αŸ‘αŸ€αŸ” αž‘αžΆαžšαž€αž€αžΎαžαžšαžŸαŸ‹αž€αŸ’αž“αž»αž„αž†αŸ’αž“αžΆαŸ†αž“αŸ„αŸ‡αž˜αžΆαž“ αŸ’αŸ€αŸ αŸ αž“αžΆαž€αŸ‹αŸ” αž˜αžšαžŽαŸˆαž—αžΆαž–αž‘αžΌαž‘αŸ…αž˜αžΆαž“ αŸ¦αŸ αŸ αž“αžΆαž€αŸ‹ αž“αž·αž„αž”αŸ’αžš/αž‡αž˜αž’αŸ’αž™αž˜αž˜αžΆαž“:

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The inclusion of “probable” case, according to more lenient diagnostic criteria, may:

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αž“αŸαŸ‡αž‡αžΆαž…αŸ†αž„αžΆαž™αž•αŸ’αž›αžΌαžœαž‚αž·αžαž‡αžΆαž‚αžΈαž‘αžΌαž˜αŸ‰αŸ‚αžαŸ’αžšαž–αžΈαž•αŸ’αž‘αŸ‡αžšαž”αžŸαŸ‹αž’αŸ’αž“αž€αž‡αŸ†αž„αžΊ αŸ¦αž“αžΆαž€αŸ‹αž˜αž€αž˜αžŽαŸ’αžŒαž›αžŸαž»αžαž—αžΆαž–αž˜αž½αž™: 4,7,3,5,3,8αŸ” αž”αŸ’αžšαžŸαž·αž“αž”αžΎ 8 αžαŸ’αžšαžΌαžœαž”αžΆαž“αž‚αŸαž€αžαŸ‹αž…αŸ’αžšαž‘αŸ†αž‡αžΆ 80 αžœαž·αž‰ αžαžΎαž“αžΉαž„αž˜αžΆαž“αž€αžΆαžšαž”αŸ’αžšαŸ‚αž”αŸ’αžšαž½αž›αž’αŸ’αžœαžΈαž€αžΎαžαž‘αžΎαž„?

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In epidemiological practice, incidence rate are:

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The population beginning of the year 2000 in Rattanakiri province has 60000 populations (P) and the end of the same year and same place have 70000 populations.All cases of mortality are 200 cases. # Live births = 12000 live births. The mean population in Rattanakiri in year 2000 has:

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αž’αŸŠαžΈαžŸαŸ’αžŠαžΌαž€αŸ’αžšαžΆαž˜ (Histogram) αž‚αžΊαž‡αžΆαž€αŸ’αžšαžΆαž αŸ’αžœαž·αž€αž˜αž½αž™:

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Post- Neonatal mortality rate is used to measure the:

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αžƒαŸ’αž›αžΆαžαžΆαž„αž€αŸ’αžšαŸ„αž˜αž“αŸαŸ‡αžŸαž»αž‘αŸ’αž’αžαŸ‚αžαŸ’αžšαžΉαž˜αžαŸ’αžšαžΌαžœαž›αžΎαž€αž›αŸ‚αž„αžαŸ‚αžƒαŸ’αž›αžΆαž˜αž½αž™αžŠαŸ‚αž›αžαž»αžŸ αž€αžΆαžšαž‚αžŽαž“αžΆαž…αŸ†αž“αž½αž“αž€αžšαžŽαžΈαž“αŸƒαž‡αž˜αŸ’αž„αžΊαž’αžΆαŸ†αž„αžŸαŸŠαžΈαžŠαž„αŸ‹αž“αž·αž„αž”αŸ’αžšαŸαžœαŸ‰αžΆαž‘αž„αŸ‹αž•αŸ’αžŠαž›αŸ‹ αž’αŸ„αž™αž…αŸ†αž“αž½αž“αž’αŸ’αž“αž€αž‡/αž„αžŠαŸ‚αž›αž‚αž½αžšαž’αŸ„αž™αž‘αž»αž€αž…αž·αžαŸ’αžαž”αžΆαž“ (The calculation of both prevalence and incidence requires a reliable estimate of the numberof individuals with the disease). αž˜αž’αŸ’αž™αŸ„αž”αžΆαž™αž”αŸ’αžšαžΎαž”αŸ’αžšαžΆαžŸαŸ‹αžŸαŸ†αžšαžΆαž”αŸ‹αž€αŸ†αžŽαžαŸ‹αž…αŸ†αž“αž½αž“αž€αžšαžŽαžΈαž’αŸ’αž“αž€αž‡/αž„αžšαž½αž˜αž˜αžΆαž“:

 

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By definition a variable is:

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αžαžΎαž’αžαŸ’αžšαžΆαž’αŸ’αžœαžΈ αžŠαŸ‚αž›αž‚αŸαž‚αžŽαž“αžΆ αž…αŸ†αž“αž½αž“αž“αŸƒαž€αžΆαžšαžŸαŸ’αž›αžΆαž”αŸ‹αž€αŸ’αž“αž»αž„ ៑ αž†αŸ’αž“αžΆαŸ† αžŸαŸ†αžšαžΆαž”αŸ‹αž”αŸ’αžšαž‡αžΆαž‡αž“ ៑០០០ αž“αžΆαž€αŸ‹?

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Ratio expresses the relationship between:

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αž“αŸ…αž€αŸ’αž“αž»αž„αžαŸαžαŸ’αžαž”αŸ‰αŸƒαž›αž·αž“αž˜αžΆαž“αž”αŸ’αžšαž‡αžΆαž‡αž“ ៦០០០០ αž“αžΆαž€αŸ‹ αž“αŸ…αžŠαžΎαž˜αž†αŸ’αž“αžΆαŸ† αŸ’αŸ αŸ‘αŸ€αŸ” αž‘αžΆαžšαž€αž€αžΎαžαžšαžŸαŸ‹αž€αŸ’αž“αž»αž„αž†αŸ’αž“αžΆαŸ†αž“αŸ„αŸ‡αž˜αžΆαž“ ៀ%αŸ” αž˜αžΆαž“αžŸαŸ’αžŠαŸ’αžšαžΈ αŸ₯០ αž“αžΆαž€αŸ‹αžŸαŸ’αž›αžΆαž”αŸ‹αž‘αžΆαž€αŸ‹αž‘αž„αž“αžΉαž„αž˜αžΆαž“αž•αŸ’αž‘αŸƒαž–αŸ„αŸ‡ αž“αž·αž„αž‡αž»αŸ†αžœαž·αž‰αž€αžΆαžšαž†αŸ’αž›αž„αž‘αž“αŸ’αž›αŸαžŸαŸ’αž˜αžΎαž“αžΉαž„αž’αžαŸ’αžšαžΆ:

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αž’αžΆαŸ†αž„αžŸαŸŠαžΈαžŠαž„αŸ‹αž€αžΎαž“αž‘αžΎαž„αž€αŸ’αž“αž»αž„αž€αžšαžŽαžΈ:

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αž€αŸ’αž“αž»αž„αžαŸ’αž“αžΆαž€αŸ‹αž˜αž½αž™αž˜αžΆαž“αž“αž·αžŸαž·αŸ’αžŸαžαžŸαžšαž»αž”αž…αŸ†αž“αž½αž“ ៩០ αž“αžΆαž€αŸ‹ αž€αŸ’αž“αž»αž„αž“αŸ„αŸ‡αž˜αžΆαž“αž“αž·αžŸαŸ’αžŸαž·αžαž“αžΆαžšαžΈ ៣០ αž“αžΆαž€αŸ‹αŸ” Ratio αžšαžœαžΆαž„αž“αž·αžŸαŸ’αžŸαž·αžαž”αž»αžšαžŸαž“αž·αž„αž“αžΆαžšαžΈαž‚αžΊαŸ–

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The mean population in Rattanakiri province is 30000 populations (P) in year 2005. All cases of mortality are 200 cases. # Live births = 1500 live births. Infant death under 1 year has 90 cases. # Live births of infant < 28 days of age = 200 Live births. Neonatal mortality = 45 cases and Maternal mortality = 50 deaths. Neonatal mortality rate is:

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Infant mortality rate is used to measure the:

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Add all of the observed values in the distribution and divide the sum by the number of observations is the formula for calculate the:

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αžαžΎαž’αžαŸ’αžšαžΆαž’αŸ’αžœαžΈ αžŠαŸ‚αž›αž‚αŸαž‚αžŽαž“αžΆ αž…αŸ†αž“αž½αž“αž“αŸƒαž€αžΆαžšαž€αžΎαžαž€αŸ’αž“αž»αž„ ៑ αž†αŸ’αž“αžΆαŸ† αžŸαŸ†αžšαžΆαž”αŸ‹αž”αŸ’αžšαž‡αžΆαž‡αž“ ៑០០ αž“αžΆαž€αŸ‹?

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The estimated mid interval population is determined by:

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αž”αŸ’αžšαŸαžœαŸ‰αžΆαž‘αž„αŸ‹ αžαŸ’αžšαžΌαžœαž”αžΆαž“αž‚αžŽαž“αžΆαžŠαžΌαž…αžαž‘αŸ…:

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The numerator of calculation case fatality rate (CFR) is:

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The prevalence of a disease depends on:

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αž’αžαŸ’αžšαžΆαž˜αžšαžŽαŸˆαž—αžΆαž–αž“αŸƒαž‘αžΆαžšαž€ (Neonatal mortality Rate, Taux de mortalitΓ© NΓ©onatale) αž‚αžΊαž‡αžΆαž€αžΆαžšαž‚αžŽαž“αžΆαž’αžαŸ’αžšαžΆαž˜αžšαžŽαŸˆαž—αžΆαž– αžŸαŸ†αžŠαŸ…αž‘αŸ…αž›αžΎαž‘αžΆαžšαž€αžŠαŸ‚αž›αž˜αžΆαž“αž’αžΆαž™αž»:

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αž…αŸ†αžŽαž»αž…αž”αŸ’αžšαžœαŸ‰αžΆαž‘αž„αŸ‹ (Point prΓ©valence)

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ΞΌ is an example of a

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If an event has a probability of 0.8 it is:

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Statistic is a numerical quantity, which is calculated from:

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What is the correct answer about a point estimate statement:

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The branch of biostatistics that deals with testing of hypothesis, making predictions using data collected is called:

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What is the statement of positive predictive value of a diagnostic test:

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A positive predictive value depend on:

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Population census is conducted through

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If an event is impossible it has a probability of:

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A confidence interval estimate is (chose the correct answer):

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What is the statement of specificity of a diagnostic test:

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If we want less chance of error we could calculate (chose the correct answer):

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What is the correct statement of diagnostic test:

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The negative predictive value of a test decreases:

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If a negative predictive value was 98%, it means that:

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The upper bound and lower bound of confidence interval are calculated using (chose the correct answer):

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In inferential statistics, we study

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A screening test result for cervical cancer show that NPV= 99%. It means that:

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What is the correct interpretation of 95% confidence interval below:

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In statistics, a population consists of

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Which below statement is not correct:

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αž‚αŸ„αž›αž€αžΆαžšαžŽαŸαžŸαŸ†αžšαžΆαž”αŸ‹αž’αŸ’αžœαžΎαž€αžΆαžšαžŸαŸ†αžšαŸαž…αž…αž·αžαŸ’αžαž“αŸ…αž€αŸ’αž“αž»αž„αž€αžΆαžšαž’αŸ’αžœαžΎhypothesis testing αž‚αžΊαžαŸ’αžšαžΌαžœαž–αžΉαž„αž•αŸ’αž“αŸ‚αž€αž›αžΎ

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αž€αžΆαžšαžŸαž·αž€αŸ’αžŸαžΆαž‘αŸ…αž›αžΎαžŸαŸ†αžŽαžΆαž€αž“αŸƒαž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈ ្Aαž…αŸ†αž“αž½αž“ ៑៑ αž“αžΆαž€αŸ‹αž”αžΆαž“αžšαž€αžƒαžΎαž‰αžαžΆαž“αž·αžŸαŸ’αžŸαž·αžαž”αžΆαž“αž…αŸ†αžŽαžΆαž™αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαžšαž™αŸˆαž–αŸαž›β€‹ αŸ‘αŸ αŸ αž“αžΆαž‘αžΈαž€αŸ’αž“αž»αž„αŸ‘αžαŸ’αž„αŸƒαž αžΎαž™αž˜αžΆαž“ standard deviation 20 αž“αžΆαž‘αžΈαŸ” αž‚αŸαž…αž„αŸ‹αž’αŸ’αžœαžΎ hypothesis testing αžαžΆαž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈ ្ αž”αžΆαž“αž…αŸ†αžŽαžΆαž™αž–αŸαž›αžšαŸ€αž“αžšαž™αŸˆαž–αŸαž› αŸ’αž˜αŸ‰αŸ„αž„ αŸ” αžαžΎαž‚αŸαžαŸ’αžšαžΌαžœαžŸαžšαžŸαŸαžš Hypothesis αž™αŸ‰αžΆαž„αžŠαžΌαž…αž˜αŸ’αžαŸαž…?

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αžαžΎαž’αŸ’αžœαžΈαžαŸ’αž›αŸ‡αžŠαŸ‚αž›αž˜αž·αž“αž˜αŸ‚αž“αž‡αžΆαž•αŸ’αž“αŸ‚αž€αžšαž”αžŸαŸ‹Descriptive statistics?

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αž€αžΆαžšαžŸαž·αž€αŸ’αžŸαžΆαž‘αŸ…αž›αžΎαžŸαŸ†αžŽαžΆαž€αž“αŸƒαž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈαŸ’A αž…αŸ†αž“αž½αž“αŸ‘αŸ₯αž“αžΆαž€αŸ‹ αžšαž€αžƒαžΎαž‰αžαžΆαž“αž·αžŸαŸ’αžŸαž·αžαž”αžΆαž“αž…αŸ†αžŽαžΆαž™αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαž“αŸ…αž•αŸ’αž‘αŸ‡αžšαž™αŸ‡αž–αŸαž›αž˜αž’αŸ’αž™αž˜ αŸ‘αŸ’αŸ αž“αžΆαž‘αžΈβ€‹ αž€αŸ’αž“αž»αž„αŸ‘β€‹ αžαŸ’αž„αŸƒ αž αžΎαž™αž˜αžΆαž“ standard deviation αŸ¦αŸ αž“αžΆαž‘αžΈ αž αžΎαž™αž€αžΆαžšαžŸαž·αž€αŸ’αžŸαžΆαž‘αŸ…αž›αžΎαžŸαŸ†αžŽαžΆαž€αž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈ ្C αž…αŸ†αž“αž½αž“ ៑៑ αž“αžΆαž€αŸ‹αž”αžΆαž“αžšαž€αžƒαžΎαž‰αžαžΆαž“αž·αžŸαŸ’αžŸαž·αžαž”αžΆαž…αŸ†αžŽαžΆαž™αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαžšαž™αŸˆαž–αŸαž› αŸ‘αŸ αŸ αž“αžΆαž‘αžΈαž€αŸ’αž“αž»αž„αŸ‘αžαŸ’αž„αŸƒαž αžΎαž™αž˜αžΆαž“ standard deviation 20 αž“αžΆαž‘αžΈαŸ” αžαžΆαž˜αž€αžΆαžšαž–αž·αž“αž·αžαŸ’αž™αž˜αžΎαž›αž‘αŸ…αž›αžΎαž€αžΆαžšαžšαž€αžƒαžΎαž‰αž€αŸ’αž“αž»αž„αžŸαŸ†αžŽαžΆαž€αž‘αžΆαŸ†αžΆαž„αž–αžΈαžšαž“αŸαŸ‡ αž™αžΎαž„αž’αžΆαž…αžŸαž“αŸ’αž“αž·αžŠαŸ’αž‹αžΆαž“αž”αžΆαž“αžαžΆ

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αž€αžΆαžšαžŸαž·αž€αŸ’αžŸαžΆαž‘αŸ…αž›αžΎαžŸαŸ†αžŽαžΆαž€αž“αŸƒαž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈαŸ’B αž…αŸ†αž“αž½αž“αŸ‘αŸ₯αž“αžΆαž€αŸ‹ αžšαž€αžƒαžΎαž‰αžαžΆαž“αž·αžŸαŸ’αžŸαž·αžαž”αžΆαž“αž…αŸ†αžŽαžΆαž™αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαž“αŸ…αž”αžŽαŸ’αžŽαžΆαž›αŸαž™αž‡αžΆαž˜αž’αŸ’αž™αž˜ 50 αž“αžΆαž‘αžΈ αž€αŸ’αž“αž»αž„αŸ‘ αžαŸ’αž„αŸƒαŸ” αž‚αŸαž…αž„αŸ‹αž’αŸ’αžœαžΎ hypothesis testing αžŠαŸ„αž™αžŸαžšαžŸαŸαžαžΆ H0: αžšαž™αŸ‡αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαž€αŸ’αž“αž»αž„αž”αžŽαŸ’αžŽαžΆαž›αŸαž™αžŸαŸ’αž˜αžΎ αŸ¦αŸ αž“αžΆαž‘αžΈ αž“αž·αž„ Ha: αžšαž™αŸ‡αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαž€αŸ’αž“αž»αž„αž”αžŽαŸ’αžŽαžΆαž›αŸαž™ β‰  αŸ¦αŸ αž“αžΆαž‘αžΈαŸ” αž€αžΆαžšαž’αŸ’αžœαžΎαžαŸαžŸαŸ’αžαž”αŸ‚αž”αž“αŸαŸ‡αž‡αžΆαž”αŸ’αžšαž—αŸαž‘

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αž€αžΆαžšαžŸαž·αž€αŸ’αžŸαžΆαž‘αŸ…αž›αžΎαžŸαŸ†αžŽαžΆαž€αž“αŸƒαž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈαŸ’A αž…αŸ†αž“αž½αž“αŸ‘αŸ₯αž“αžΆαž€αŸ‹ αžšαž€αžƒαžΎαž‰αžαžΆαž“αž·αžŸαŸ’αžŸαž·αžαž”αžΆαž“αž…αŸ†αžŽαžΆαž™αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαž“αŸ…αž•αŸ’αž‘αŸ‡αžšαž™αŸ‡αž–αŸαž›αž˜αž’αŸ’αž™αž˜ αŸ‘αŸ’αŸ αž“αžΆαž‘αžΈ αž€αŸ’αž“αž»αž„αŸ‘ αžαŸ’αž„αŸƒ αž αžΎαž™αž˜αžΆαž“ standard deviation αŸ¦αŸ αž“αžΆαž‘αžΈ αž αžΎαž™αž€αžΆαžšαžŸαž·αž€αŸ’αžŸαžΆαž‘αŸ…αž›αžΎαžŸαŸ†αžŽαžΆαž€αž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈ ្Cαž…αŸ†αž“αž½αž“ ៑៑ αž“αžΆαž€αŸ‹αž”αžΆαž“αžšαž€αžƒαžΎαž‰αžαžΆαž“αž·αžŸαŸ’αžŸαž·αžαž”αžΆαž“αž…αŸ†αžŽαžΆαž™αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαžšαž™αŸˆαž–αŸαž› αŸ‘αŸ αŸ αž“αžΆαž‘αžΈαž€αŸ’αž“αž»αž„αŸ‘αžαŸ’αž„αŸƒαž αžΎαž™αž˜αžΆαž“ standard deviation 20 αž“αžΆαž‘αžΈαŸ”αž‚αŸαž’αŸ’αžœαžΎαžαŸαžŸαŸ’αžαž…αž„αŸ‹αžŠαžΉαž„αžαžΆαžαžΎαžšαž™αŸ‡αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαžšαž”αžŸαŸ‹αžαŸ’αž“αžΆαž€αŸ‹αž‘αžΆαŸ†αž„αž–αžΈαžŸαŸ’αž˜αžΎαžšαž‚αŸ’αž“αžΆαžŠαŸ‚αžšαž¬αž‘αŸ αž αžΎαž™αž‘αž‘αž½αž›αž”αžΆαž“ P-value αžšαž”αžŸαŸ‹αžαŸαžŸαŸ’αžαžŸαŸ’αž˜αžΎ αŸ₯%αŸ” αž™αŸ„αž„αžαžΆαž˜αž›αž‘αŸ’αž‹αž•αž›αž“αŸαŸ‡αž‚αŸαž’αžΆαž…αžŸαž“αŸ’αž“αž·αžŠαŸ’αž‹αžΆαž“αžαžΆ

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αžšαžŸαž·αž€αŸ’αžŸαžΆαž‘αŸ…αž›αžΎαžŸαŸ†αžŽαžΆαž€αž“αŸƒαž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈ ្Aαž…αŸ†αž“αž½αž“ ៑៑ αž“αžΆαž€αŸ‹αž”αžΆαž“αžšαž€αžƒαžΎαž‰αžαžΆαž“αž·αžŸαŸ’αžŸαž·αžαž”αžΆαž“αž…αŸ†αžŽαžΆαž™αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαžšαž™αŸˆαž–αŸαž›β€‹ αŸ‘αŸ αŸ αž“αžΆαž‘αžΈαž€αŸ’αž“αž»αž„αŸ‘αžαŸ’αž„αŸƒαž αžΎαž™αž˜αžΆαž“ standard deviation 20 αž“αžΆαž‘αžΈαŸ” αž‚αŸαž…αž„αŸ‹αž’αŸ’αžœαžΎ hypothesis testing αžŠαžΎαž˜αŸ’αž”αžΈαž†αŸ’αž›αžΎαž™αž‘αŸ…αž“αžΉαž„αžŸαŸ†αžŽαž½αžšαžαžΆαžαžΎ αž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈ ្C αž”αžΆαž“αžšαŸ€αž“αžšαž™αŸ‡αž–αŸαž› 2αž˜αŸ‰αŸ„αž„αžŠαŸ‚αžšαž¬αž‘αŸαŸ” αžαžΎαž‚αŸαž’αŸ’αžœαžΎαžαŸαžŸαŸ’αžαž˜αž½αž™αžŽαžΆαžαžΆαž„αž€αŸ’αžšαŸ„αž˜?

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