scholarly journals The fiscal value of human lives lost from coronavirus disease (COVID-19) in China

2020 ◽  
Author(s):  
Joses M. Kirigia ◽  
Rosenabi Deborah Karimi Muthuri

Abstract Objective: According to the WHO coronavirus disease (COVID-19) situation report 35, as of 24 th February 2020, there was a total of 77,262 confirmed COVID-19 cases in China. That included 2,595 deaths. The specific objective of this study was to estimate the fiscal value of human lives lost due to COVID-19 in China as of 24 th February 2020. Results: The deaths from COVID-19 had a discounted (at 3%) total fiscal value of Int$ 924,346,795 in China. Out of which, 63.2% was borne by people aged 25-49 years, 27.8% by people aged 50-64 years, and 9.0% by people aged 65 years and above. The average fiscal value per death was Int$ 356,203. Re-estimation of the economic model alternately with 5% and 10 discount rates led to a reduction in the expected total fiscal value by 21.3% and 50.4%, respectively. Furthermore, the re-estimation of the economic model using the world’s highest average life expectancy of 87.1 years (which is that of Japanese females), instead of the national life expectancy of 76.4 years, increased the total fiscal value by Int$ 229,456,430 (24.8%).

2020 ◽  
Author(s):  
Joses M. Kirigia ◽  
Rosenabi Deborah Karimi Muthuri

Abstract Objective: According to the WHO novel coronavirus (2019-nCoV) situation report 16, as at 5 th February 2020, there was a total of 24363 confirmed 2019-nCoV cases in China. That consisted of the world 491. The specific objective of this study was to estimate, using human capital approach, the fiscal value of human lives lost due to 2019-nCoV in China as at 5 th February 2020. Results: The deaths from 2019-nCoV had a discounted (at 3%) total fiscal value of Int$174,895,675. Out of which, 63.2% was borne by people aged 25-49 years, 27.8% by people aged 50-64 years, and 9.0% by people aged 65 years and above. Average fiscal value per death was Int$ 356,203. Re-estimation of the economic model alternately with 5% and 10 discount rates led to a reduction in the expected total fiscal value by 21.3% and 50.4%, respectively. Furthermore, re-estimation of the economic model using the Japanese female life expectancy of 87.1 years (highest in the world), instead of the national life expectancy of 76.4 years, increased the total fiscal value by Int$ 43,415,455 (24.8%).


Author(s):  
Joses Muthuri Kirigia ◽  
Rose Nabi Deborah Karimi Muthuri

Background: The coronavirus disease 2019 (COVID-19) pandemic continues to cause morbidity and premature mortality and ravage the socio-economic sectors in Canada.Objectives: The study aimed to appraise the Total Dollar Value of Human Life Losses (TDVHL) associated with COVID-19 in Canada. Methods: The net output approach was applied in the dollar valuation of the 8810 human life losses associated with COVID-19 in Canada as of July 16, 2020. The economic model wasrerun assuming 3%, 5%, and 10% discount rates with Canada’s life expectancy of 83 years, the world’s average life expectancy of 73 years, the world’s highest average life expectancy of88 years, and a 3% discount rate. Results: The human lives lost to COVID-19 had an estimated value of the international dollar (Int$) 2037021173 and an average of Int$ 231217 per human life lost. Quebec and Ontarioprovinces alone accounted for 94.99% of the TDVHL. Reanalysis of the economic model with discount rates of 5% and 10% resulted in declines in TDVHL of Int$ 192721390 (9%)and Int$ 530132423 (26%), respectively. Substitution of the nation with the word’s average life expectancy shrank the TDVHL by Int$ 1754972473 (86%) while applying the world’shighest life expectancy triggered a growth in the TDVHL of Int$ 498674987 (24%).


F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 1247 ◽  
Author(s):  
Joses Muthuri Kirigia ◽  
Rose Nabi Deborah Karimi Muthuri ◽  
Lenity Honesty Kainyu Nkanata ◽  
Newton Gitonga Muthuri

Background: This study estimates the total discounted value of human lives lost (TDVHL) due to COVID-19 in France as of 14 September 2020. Methods: The human capital approach (HCA) model was used to estimate the TDVHL of the 30,916 human lives lost due to COVID-19 in France; i.e., assuming a discount rate of 3% and the national average life expectancy at birth of 83.13 years. To test the robustness of the estimated TDVHL, the model was rerun (a) using 5% and 10% discount rates, while holding the French average life expectancy constant; and (b) consecutively substituting national life expectancy with the world average life expectancy of 73.2 years and the world highest life expectancy of 88.17 years.  Results: The human lives lost had a TDVHL of Int$10,492,290,194, and an average value of Int$339,381 per human life lost. Rerun of the HCA model with 5% and 10% discount rates decreased TDVHL by Int$1,304,764,602 (12.4%) and Int$3,506,938,312 (33%), respectively. Re-calculation of the model with the world average life expectancy decreased the TDVHL by Int$7,750,187,267 (73.87%). Contrastingly, re-estimation of the model with the world’s highest life expectancy augmented TDVHL by Int$3,744,263,463 (35.7%). Conclusions: The average discounted economic value per human life lost due to COVID-19 of Int$339,381 is 8-fold the France gross domestic product per person. Such evidence constitutes an additional argument for health policy makers when making a case for increased investment to optimise France’s International Health Regulation capacities and coverage of essential health services, and safely managed water and sanitation services.


Author(s):  
KHROMUSHIN V.A. ◽  
◽  
VOLKOV A.V. ◽  
KHADARTSEV A.A. ◽  
◽  
...  

The article presents the relevance of the problem, defines the research purpose: to compare the average life expectancy of the population in the areas of the Tula region with different contents of heavy metals in the class of causes of death “Respiratory diseases ”. The authors used the data of the regional mortality register, the results of analyzes of the content of heavy metals (copper, lead, zinc, nickel) in the soil by atomic absorption spectroscopy, and the calculation of the average life expectancy by the algebraic model of constructive logic. The results indicate a decrease in average life expectancy due to the presence of heavy metals in the soil, but the average life expectancy in both contaminated and non-contaminated areas is gradually increasing.


Author(s):  
YA.YU. GOLIVANOV ◽  
◽  
V.V. ZELENENKO ◽  
V.V. GRITSENKO

The article presents data on the assessment of some issues of the ontogenesis of the bird cherryoat aphid: the average life expectancy, the number of offspring over a lifetime, the beginning of the reproductive period, the end of the reproductive period, the duration of the reproductive period, the life span of aphids and the number of offspring. The author found that the average life expectancy of animals was 21.55 days. The beginning of the reproductive period, on average, was on days 7–8, the end – on day 19. The average duration of the reproductive period was 12.5 days. The average number of offspring over the entire life for individuals in the sample was 34 nymphs, in a separate litter – 2–3 nymphs.


2021 ◽  
Vol 93 (1) ◽  
pp. 82-83
Author(s):  
João Vasco Barreira ◽  
Gil Falcão ◽  
Mariana Amaral ◽  
Pedro Barreira

Dear Editor, in recent years there has been an increase in the number of new cases of cancer. This increase, in part, is closely related to the increase in average life expectancy, as well as more accurate diagnostic techniques and well-defined screening programs. [...]


2021 ◽  
Vol 65 (5) ◽  
pp. 35-41
Author(s):  
A. Gorski ◽  
M. Maksyutov ◽  
K. Tumanov ◽  
E. Kochergina ◽  
N. Zelenskaya ◽  
...  

Purpose: Analysis and prognosis of mortality rate, specific causes of death and mortality structure in the male cohort of the Chernobyl cleanup workers monitored from 1992 over 2017. Materials and methods: Analysis and prognosis of mortality among the Chernobyl cleanup workers for the follow up period 1992-2017 were based on personal death records stored at the National Radiation Epidemiological Registry (NRER). The workers entered the exclusion zone in 1986 and in 1987, who had documented dose records were included in the monitoring cohort. In 1992 the cohort size was 72432 persons , average radiation dose was 130.8 mGy. For the period of the cohort monitoring 27051 cleanup workers died with the following causes of death: malignant neoplasms – 4621 cases, circulatory diseases – 11410 cases, traumas and poisoning – 5110 cases, other –5910. To prognose mortality and mortality structure data on age-specific intensity of partial mortality and total mortality during the monitoring period were used. Results: The predicted size of the cohort will be 22,000 persons in 2030. Mortality structure in 2017: malignant neoplasms – 17%; circulatory diseases – 42%; traumas and poisoning – 19%, other – 22%. The mortality structure in 2030 will be: malignant neoplasms – 24%; circulatory diseases – 49%; traumas and poisoning – 11%, other – 16%. Cleanup workers’ the average time left to live estimated in 2017 was 11.1 years (their average age in 2017 was 62.4 years), it means that their average life expectancy will be 73.5 years. Average life expectancy of Russian males is 70.4 years. Increased life span of the cleanup workers can be due to their good health, social support including regular special medical examination, the effect of the natural selection cannot be excluded as well. Conclusion: Results of the study can serve as example of organization of high effective specialized medical examination of the Chernobyl cleanup workers. The research outcomes will be useful for analysis of mortality among members of a closed population following exposure to hazardous technogeneous factors.


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