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IV prevalence among adults aged 15 years and TB prevalence can be used to present the typical epidemic morbidity. Identifying data about coverage For the proportion of the population without hospitalization insurance dependents on the financial input of a country to a great extent, which will be discussed in the health systems expenditure, the only change in this part is to ignore its effect. Thus the identified data in this part are: immunization coverage, antenatal care coverage and contraceptive prevalence rate. Identifying data about health systems resource The health systems resources include both human and material resources, based on the available data, the density of physicians, nurses, etc. and hospital beds per 1000 population should be chosen. Identifying data about health systems expenditure For all of the data about health systems expenditure can be obtained from the World Health Statistics directly, we don’t need to change any of them, which means 第 6 頁(yè) 共 26 頁(yè) the data identified in this part are: total expenditure on health as % of GDP, government and private expenditure on health as % of total expenditure on health and per capita total expenditure on health. Identifying data about inequalities Generally speaking, the person who lives in the city with the higher wealth and educational level may receive the better health service. This can represent one aspect of inequalities. However, to describe the inequalities in detail, we choose the data shown in table 3. Concluding the identified data To take on the result of identified data more distinctly, we concluded them in one table (refer to table 3) Modifying the metrics Even though all the identified data could be obtained from the World Health Statistics, we still need to modify some of them to make the metrics more useful. Table 3. Data Identified from World Health Statistics 2021 Combined Data Identified mortality Life expectancy Infant mortality rate Neonatal mortality rate Maternal mortality ratio HIV/AIDS mortality rate TB mortality rate morbidity HIV prevalence among adults aged15 year TB prevalence coverage Immunization coverage among 1yearsolds Antenatal care coverage Contraceptive prevalence rate Health systems resource Density of physicians、 nurses, etc hospital beds per 1000 population Health systems expenditure Total expenditure on health as %of GDP Government and Private expenditure on health as %of Total expenditure on health Per capita total expenditure on health Inequities Probability of dying aged 5 years per 1000 live births ratio of ruralurban ratio of lowesthighest Wealth ratio of lowesthighest Educational level Children aged 5 years stunted for age ratio of ruralurban ratio of lowesthighest t Wealth ratio of lowesthighest Educational level Births attended by skilled health personnel ratio of ruralurban ratio of highestlowest Wealth ratio of highestlowest Educational level Measles immunization ratio of ruralurban 第 7 頁(yè) 共 26 頁(yè) coverage among 1yearolds ratio of highestlowest Wealth ratio of highestlowest Educational level Comparing table1 with table 4, the typical epidemic morbidity is replaced by HIV prevalence among adults aged15 years and TB prevalence. What’s more, the integrated inequality is also replaced by inequalities representing in different regions and different people, which means the typical epidemic morbidity and inequalities need to be modified. Symbols used in part Ⅱ Table 4. The Symbols Used in Part Ⅱ Symbols Definition Unit EM Total number die of epidemic diseases per 100,000 population people AEM Number of people die of AIDS per 100,000 epidemic patients people TEM Number of people die of TB per 100,000 epidemic patients people TM Number of people die of TB per 100,000 TB patients people TP Number of people infected TB per 100,000 population people HM Number of people die of AIDS per 100,000 AIDS patients people HP Number of people infected AIDS per 100,000 population people ir Rate that represent each inequality ( 122,1 ??i ) Modifying the typical epidemic morbidity As mentioned above, the typical epidemic diseases here are equal to AIDS and TB. The number of people who die of AIDS per 100,000 epidemic patients can be calculated by using the following formula: TPHP HPHMEMA ???, (1) where AEM is the number of people who die of AIDS per 100,000 epidemic patients, HM is the number of people who die of AIDS per 100,000 AIDS patients, HP is the number of people infected AIDS per 100,000 population and TP is the number of people infected TB per 100,000 population. Similarly, the number of people who die of TB per 100,000 epidemic patients can be calculated: TPHP TPTMEMT ???, (2) where TEM is the number of people who die of TB per 100,000 epidemic patients and TM is the number of people who die of TB per 100,000 TB patients. Based on the analysis about epidemic diseases’ posing, the total number of people who die of epidemic diseases per 100,000 population is: TA EMEMEM ?? , (3) Combining (1), (2), (3), the typical epidemic morbidity is: 第 8 頁(yè) 共 26 頁(yè) TPHP TPTMTPHP HPHMEM ??????, (4) Modifying the inequality In an ideal health care system, the ratio rural–urban place of residence, ratio lowesthighest wealth quintile and ratio lowesthighest educational level of mother should be 1, thus the smaller the difference between each radio and 1, the smaller the inequality is. To simplify the calculation, the following equation can be used to obtain the integrated inequality indexR : ?? ??1212)1(