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AŞILAMA ORANLARI İLE COVID-19 ÖLÜM ORANLARI ARASINDAKİ PARADOKSU AÇIKLAMADA SOSYOEKONOMİK VE ÇEVRESEL FAKTÖRLERİN ETKİSİ ÜZERİNE BİR İNCELEME

Yıl 2024, Cilt: 11 Sayı: 26, 119 - 146, 30.12.2024
https://doi.org/10.58884/akademik-hassasiyetler.1554568

Öz

Bu çalışma, 150'den fazla ülkede COVID-19 ölümlerini azaltmak için birincil strateji olarak aşılamanın etkinliğini incelemektedir. Çalışma, Ocak 2022'deki tam aşılama oranları ile ölüm oranları arasındaki korelasyonu analiz ederek, başlangıçta pozitif bir ilişki bulmuştur (r = 0,65, p değeri < .01). Ancak, daha ileri regresyon analizi daha karmaşık bir ilişki ortaya koymaktadır. Tam aşılamada %1'lik bir artış, GSYİH farklılıkları dikkate alındığında bile, beklenmedik bir şekilde 100.000 kişi başına beklenen ölümlerde %0,7'lik bir artışla (p değeri < .001) bağlantılıdır. Bu, sosyoekonomik koşullar, virüs mutasyonları ve sağlık kaynakları (örneğin, kişi başına ventilatör) gibi aşılamanın ötesindeki faktörlerin, ölüm oranlarını belirlemede önemli bir rol oynadığını göstermektedir. Çalışmanın bulguları, aşılamanın tek başına COVID-19'u ortadan kaldırabileceği fikrine meydan okumaktadır. Aşılama önemli bir araç olmakla birlikte, virüsün yayılmasına ve ekonomik etkisine katkıda bulunan daha geniş faktörleri, özellikle yüksek aşılama oranlarına sahip ancak kalıcı ölüm oranına sahip ülkelerde ele almak esastır. Bu kapsamlı yaklaşım, salgının etkin bir şekilde yönetilmesi ve uzun vadeli sonuçlarının en aza indirilmesi açısından hayati önem taşıyor.

Kaynakça

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A REVIEW OF THE EFFECTS OF SOCIOECONOMIC AND ENVIRONMENTAL FACTORS IN EXPLANING THE PARADOX BETWEEN VACCINATION RATES AND COVID-19 RELATED MORTALITY RATES

Yıl 2024, Cilt: 11 Sayı: 26, 119 - 146, 30.12.2024
https://doi.org/10.58884/akademik-hassasiyetler.1554568

Öz

This study evaluates vaccination as a primary strategy to reduce COVID-19 deaths across 150 countries. By analyzing the correlation between full vaccination rates and mortality rates in January 2022, the study initially finds a positive association (r = 0.65, p-value < .01). However, further regression analysis reveals a more complex relationship. A 1% increase in full vaccination correlates with a 0.7% rise in deaths per 100,000 people (p-value < .001), even when considering GDP differences. This suggests that factors beyond vaccination, such as socioeconomic conditions, virus mutations, and healthcare resources (e.g., ventilators per capita), play a substantial role in determining mortality rates. The study's findings challenge the notion that vaccination alone can eradicate COVID-19. While vaccination is a crucial tool, it's essential to address the broader factors contributing to the virus's spread and its economic impact, particularly in countries with high vaccination rates but persistent mortality. This comprehensive approach is vital for effectively managing the pandemic and minimizing its long-term consequences.

Kaynakça

  • Abbasi, J. (2020). COVID-19 and mRNA vaccines-first large test for a new approach. JAMA, 324(12), 1125-1127. https://doi.org/10.1001/jama.2020.16866
  • Ackley, C.A., Lundberg, D.J., Ma, L., Preston, S.H., Stokes, A.C., et al. (2022). County-level estimates of excess mortality associated with COVID-19 in the United States. SSM - Population Health, 17. no.101021. https://doi.org/10.1016/j.ssmph.2021.101021
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  • Coccia, M. (2021c). Recurring waves of Covid-19 pandemic with different effects in public health. Journal of Economics Bibliography, 8(1), 28-45. http://dx.doi.org/10.1453/jeb.v8i1.2184
  • Coccia, M. (2022). COVID-19 pandemic over 2020 (with lockdowns) and 2021 (with vaccinations): Similar effects for seasonality and environmental factors. Environmental Research, 208, no.112711. https://doi.org/10.1016/j.envres.2022.112711
  • Coccia, M. (2022a). Improving preparedness for next pandemics: Max level of COVID-19 vaccinations without social impositions to design effective health policy and avoid flawed democracies. Environmental Research, 213, no.113566. https://doi.org/10.1016/j.envres.2022.113566
  • Coccia, M. (2022b). Optimal levels of vaccination to reduce COVID-19 infected individuals and deaths: A global analysis. Environmental Research, 204(C), no.112314. https://doi.org/10.1016/j.envres.2021.112314
  • Coccia, M. (2022c). Preparedness of countries to face covid-19 pandemic crisis: Strategic positioning and underlying structural factors to support strategies of prevention of pandemic threats. Environmental Research, 203, no.111678. https://doi.org/10.1016/j.envres.2021.111678
  • Coccia, M., & Benati, I. (2018). Rewards in public administration: A proposed classification. Journal of Social and Administrative Sciences, 5(2), 68-80. https://doi.org/10.1453/jsas.v5i2.1648
  • Coccia, M., & Benati, I. (2018a). Comparative models of inquiry. In A. Farazmand (Ed.), Global encyclopedia of public administration, public policy, and governance, (pp. 1-6). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-31816-5_1199-1
  • Copat, C., Cristaldi, A., Fiore, M., Conti, G.O., Ferrante, M., et al. (2020). The role of air pollution (PM and NO2) in COVID-19 spread and lethality: A systematic review. Environmental Research, 191, no.110129. https://doi.org/10.1016/j.envres.2020.110129
  • Cowling, B.J. & Aiello, A.E. (2020). Public health measures to slow community spread of coronavirus disease 2019. Journal of Infectious Diseases, 221(11), 1749-1751. https://doi.org/10.1093/infdis/jiaa123
  • Davies, N.G., Jarvis, C.I., van Zandvoort, K., Clifford, S., Sun, F.Y., Funk, S., Medley, G., Keogh, R.H., et al. (2021). Increased mortality in community-tested cases of SARS-CoV-2 lineage B.1.1.7, Nature, 593(7858), 270-274. https://doi.org/10.1038/s41586-021-03426-1
  • de Vlas, S.J., & Coffeng, L.E. (2021). Achieving herd immunity against COVID-19 at the country level by the exit strategy of a phased lift of control. Scientific Reports, 11(1), 4445. https://doi.org/10.1038/s41598-021-83492-7
  • Fontanet, A., Autran, B., Lina, B., Kieny, M.P., Karim, S.S.A., & Sridhar, D. (2021). SARS-CoV-2 variants and ending the COVID-19 pandemic. The Lancet, 397(10278), 952-954. https://doi.org/10.1016/s0140-6736(21)00370-6
  • Garber, A.M. (2021). Learning from excess pandemic deaths, Journal of the American Medical Association, 325(17), 1729-1730. https://doi.org/10.1001/jama.2021.5120
  • IMARC. (2022, July 10). Mechanical ventilators market: Global industry trends, share, size, growth, opportunity and forecast. 2022. 2021-2026. Retrieved on 2023, June 28 from https://www.imarcgroup.com/mechanical-ventilators-market
  • Islam, N., Shkolnikov, V.M., Acosta, R.J., Klimkin, I., Kawachi, I., Irizarry, R.A., Alicandro, G., Khunti, K., Yates, T., Jdanov, D.A., White, M., et al. (2021). Excess deaths associated with covid-19 pandemic in 2020: age and sex disaggregated time series analysis in 29 high income countries. BMJ, 373, no.1137. https://doi.org/10.1136/bmj.n1137
  • Izadisabet, F., Aminbeidokhti, A., & Jafari, S. (2024). Social determinants of health during and after coronavirus: a qualitative study. BMC Public Health, 24, no.283. https://doi.org/10.1186/s12889-024-17785-7
  • Johns Hopkins Center for System Science and Engineering. (2022, February 5). Coronavirus COVID-19 global cases, 2022. Retrieved on 2023, September 10 from https://coronavirus.jhu.edu/map.html
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  • Kargı, B., & Coccia, M. (2024). Emerging innovative technologies for environmental revolution: a technological forecasting perspective. International Journal of Innovation, 12(3), e27000-e27000. https://doi.org/10.5585/2024.27000
  • Kargı, B., Coccia, M., & Uçkaç, B.C. (2023). How does the wealth level of nations affect their COVID19 vaccination plans? Economics, Management and Sustainability, 8(2), 6-19. https://doi.org/10.14254/jems.2023.8-2.1
  • Kargı, B., Coccia, M., & Uçkaç, B.C. (2023a). The relation between restriction policies against Covid-19, economic growth and mortality rate in society. Migration Letters, 20(5), 218-231. https://doi.org/10.47059/ml.v20i5.3538
  • Kargı, B., Coccia, M., & Uçkaç, B.C. (2023b). Findings from the first wave of Covid-19 on the different impacts of lockdown on public health and economic growth. International Journal of Economic Sciences, 12(2), 21-39. https://doi.org/10.52950/ES.2023.12.2.002
  • Kargı, B., Coccia, M., & Uçkaç, B.C. (2023c). Socioeconomic, demographic and environmental factors and COVID-19 vaccination: Interactions affecting effectiveness. Bulletin Social-Economic and Humanitarian Research, 19(21), 83-99. http://doi.org/10.52270/26585561_2023_19_21_83
  • Kiang, M.V., Irizarry, R.A., Buckee, C.O., & Balsari, S. (2020). Every body counts: Measuring mortality from the COVID-19 pandemic. Annals of Internal Medicine, 173(12), 1004-1007. https://doi.org/10.7326/M20-3100
  • Lau, H., Khosrawipour, T., Kocbach, P., Ichii, H., Bania, J., & Khosrawipour, V. (2021). Evaluating the massive underreporting and undertesting of COVID-19 cases in multiple global epicenters. Pulmonology, 27(2), 110-115. https://doi.org/10.1016/j.pulmoe.2020.05.015
  • Lazarus, J.V., White, T.M., Wyka, K., … & El-Mohandes, A. (2024). Influence of COVID-19 on trust in routine immunization, health information sources and pandemic preparedness in 23 countries in 2023. Natute Medicine, 30, 1559-1563. https://doi.org/10.1038/s41591-024-02939-2
  • Liu, Z., Magal, P., & Webb, G. (2021). Predicting the number of reported and unreported cases for the COVID-19 epidemics in China, South Korea, Italy, France, Germany and United Kingdom. Journal of Theoretical Biology, 509, no.110501. https://doi.org/10.1016/j.jtbi.2020.110501
  • Mayo Clinic. (2021, October 17). Different types of COVID-19 vaccines: How they work. 2021. Retrieved on 2023, June 28 from https://www.mayoclinic.org/diseases-conditions/coronavirus/in-depth/different-types-of-covid-19-vaccines/art-20506465#:~:text=Both%20the%20Pfizer%2DBioNTech%20and,the%20COVID%2D19%20S%20protein.
  • Mayo Clinic. (2022, March 8). COVID-19 variants: What's the concern? 2022. Retrieved on 2023, June 28 from https://www.mayoclinic.org/diseases-conditions/coronavirus/expert-answers/covid-variant/faq-20505779
  • Moore, S., Hill, E.M., Tildesley, M.J., Dyson, L., & Keeling, M.J. (2021). Vaccination and non-pharmaceutical interventions for COVID-19: a mathematical modelling study. The Lancet Infectious Diseases, 21(6), 793-802. https://doi.org/10.1016/S1473-3099(21)00143-2
  • Nicastro, F., Sironi, G., Antonello, E., Trabattoni, D., Clerici, M., et al. (2021). Solar UV-B/A radiation is highly effective in inactivating SARS-CoV-2. Scientific Reports, 11(1), no.14805. https://doi.org/10.1038/s41598-021-94417-9
  • Our World in Data. (2020, February 2). Coronavirus (COVID-19) vaccinations - Statistics and research - our world in data. 2022. Retrieved on 2023, June 20 from https://ourworldindata.org/covid-vaccinations
  • Our World in Data. (2022, December 10). Number of medical ventilators. 2022a. 2020. Retrieved on 2023, June 20 from https://ourworldindata.org/coronavirus
  • Papanikolaou, V., Chrysovergis, A., Ragos, V., Tsiambas, E., Katsinis, S., Manoli, A., Papouliakos, S., Roukas, D., Mastronikolis, S., Peschos, D., & Batistatou, A., et al. (2022). From delta to Omicron: S1-RBD/S2 mutation/deletion equilibrium in SARS-CoV-2 defined variants. Gene, 814, no.146134. https://doi.org/10.1016/j.gene.2021.146134
  • Peters, M.D.J. (2022). Addressing vaccine hesitancy and resistance for COVID-19 vaccines. Internatonal Journal of Nursing Studies, 131, no.104241. https://doi.org/10.1016/j.ijnurstu.2022.104241
  • Piketty, T. (2014). Capital in the twenty-first century. Harvard University Press.
  • Polack, F.P., Thomas, S.J., Kitchin, N., … Gruber, W.C. (2020). Safety and efficacy of the BNT162b2 mRNA Covid-19 vaccine. New England Journal of Medicine, 383, 2603-2615. https://doi.org/10.1056/nejmoa2034577
  • Prieto, C.R., & González-Ramírez, H. (2021). Vaccination strategies against COVID-19 and the diffusion of anti-vaccination views. Scientific Reports, 11(1), no.6626. https://doi.org/10.1038/s41598-021-85555-1
  • Paremoer, L., Nandi, S., Baum, F. (2021). Covid-19 pandemic and the social determinants of health. The BMJ, 372, no.129. https://doi.org/10.1136/bmj.n129
  • Randolph, H.E., & Barreiro, L.B. (2020). Herd immunity: understanding COVID-19. Immunity, 52, 737-741. https://doi.org/10.1016/j.immuni.2020.04.012
  • Rollston, R., & Galea, S. (2020). COVID-19 and the Social Determinants of Health. American Journal of Health Promotion, 34(6), 687-689. https://doi.org/10.1177/0890117120930536b
  • Rosario-Denes, K.A., Mutz-Yhan, S., Bernardes-Patricia, C., Conte-Junior, C.A. (2020). Relationship between COVID-19 and weather: Case study in a tropical country. International Journal of Hygiene and Environmental Health, 229, no.113587. https://doi.org/10.1016%2Fj.ijheh.2020.113587
  • Russo, R.G., Li, Y., Doan, L., … & Yi, S.S. (2021). COVID-19, Social determinants of health, and opportunities for preventing cardiovascular disease: A conceptual framework. International Journal of the American Heart Association, 10(24), e022721. https://doi.org/10.1161/jaha.121.022721
  • Saadi, N., Chi, Y-L., Ghosh, S., Jit, M., & Vassall, A., et al. (2021). Models of COVID-19 vaccine prioritisation: a systematic literature search and narrative review. BMC Medicine, 19(1), 318. https://doi.org/10.1186/s12916-021-02190-3
  • Sanmarchi, F., Golinelli, D., Lenzi, J., Esposito, F., Capodici, A., Reno, C., & Gibertoni, D. (2021). Exploring the gap between excess mortality and COVID-19 deaths in 67 countries. JAMA Network Open, 4(7), no.e2117359. https://doi.org/10.1001/jamanetworkopen.2021.17359
  • Seligman, B., Ferranna, M., & Bloom, D.E. (2021). Social determinants of mortality fromCOVID-19: A simulation study using NHANES. PLoS Medicine, 18(1), no.e1003490. https://doi.org/10.1371/journal.pmed.1003490
  • Shattock, A.J., Le Rutte, E.A., Dünner, R.P., Chitnis, N., & Penny, M.A., et al. (2022). Impact of vaccination and non-pharmaceutical interventions on SARS-CoV-2 dynamics in Switzerland. Epidemics, 38, no.100535. https://doi.org/10.1016/j.epidem.2021.100535
  • Hoo-Soo, G.W. (2010). Noninvasive ventilation in adults with acute respiratory distress: a primer for the clinician. Hospital Practice, 38(1), 16-25. https://doi.org/10.3810/hp.2010.02.275
  • Hoo-Soo, G.W. (2021, February 25). Noninvasive ventilation for patients with acute respiratory failure. Retrieved on 2023, July 13 from https://aci.health.nsw.gov.au/__data/assets/pdf_file/0004/820372/ACI-Non-invasive-ventilation-for-patients-with-acute-respiratory-failure.pdf
  • Stokes, A.C., Lundberg, D.J., Bor, J., & Bibbins-Domingo, K. (2021). Excess deaths during the COVID-19 pandemic: Implications for US death investigation systems. American Journal of Public Health, 111(S2), S53-S54. https://doi.org/10.2105/AJPH.2021.306331
  • Stokes, A.C., Lundberg, D.J., Elo, I.T., Hempstead, K., Bor, J., & Preston, S.H. (2021a). COVID-19 and excess mortality in the United States: A county-level analysis. PLoS Medicine, 18(5), no.e1003571. https://doi.org/10.1371/journal.pmed.1003571
  • The World Bank. (2022, September 17 ). GDP per capita (constant 2015 US$), World Bank national accounts data, and OECD National Accounts data files. 2022. Retrieved on 2023, July 7 from https://databank.worldbank.org/metadataglossary/sustainable-development-goals-%28sdgs%29/series/NY.GDP.PCAP.KD
  • The World Bank. (2022a, September 17). Data, population, total. Retrieved on 2023, July 7 from https://data.worldbank.org/indicator/SP.POP.TOTL?locations=JPN
  • Uçkaç, B.C., Coccia, M., & Kargi, B. (2023a). Diffusion COVID-19 in polluted regions: Main role of wind energy for sustainable and health. International Journal of Membrane Science and Technology, 10(3), 2755-2767. https://doi.org/10.15379/ijmst.v10i3.2286
  • Uçkaç, B.C., Coccia, M., & Kargı, B., (2023). Simultaneous encouraging effects of new technologies for socioeconomic and environmental sustainability. Bulletin Social-Economic and Humanitarian Research, 19(21), 100-120. https://doi.org/10.52270/26585561_2023_19_21_100
  • WHO (2021, March 8). WHO Coronavirus (COVID-19). World Health Organization. Retrieved on 2023, December 17 from https://www.who.int/emergencies/diseases/novel-coronavirus-20191
  • Woolf, S.H., Chapman, D.A., Sabo, R.T., & Zimmerman, E.B. (2021). Excess deaths from COVID-19 and other causes in the US. Journal of the American Medical Association, 325(17), 1786-1789. https://doi.org/10.1001/jama.2021.5199
Toplam 84 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Sağlık Politikası
Bölüm Tüm Sayı
Yazarlar

Bilal Kargı 0000-0002-7741-8961

Yayımlanma Tarihi 30 Aralık 2024
Gönderilme Tarihi 24 Eylül 2024
Kabul Tarihi 28 Aralık 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 11 Sayı: 26

Kaynak Göster

APA Kargı, B. (2024). A REVIEW OF THE EFFECTS OF SOCIOECONOMIC AND ENVIRONMENTAL FACTORS IN EXPLANING THE PARADOX BETWEEN VACCINATION RATES AND COVID-19 RELATED MORTALITY RATES. Akademik Hassasiyetler, 11(26), 119-146. https://doi.org/10.58884/akademik-hassasiyetler.1554568
AMA Kargı B. A REVIEW OF THE EFFECTS OF SOCIOECONOMIC AND ENVIRONMENTAL FACTORS IN EXPLANING THE PARADOX BETWEEN VACCINATION RATES AND COVID-19 RELATED MORTALITY RATES. Akademik Hassasiyetler. Aralık 2024;11(26):119-146. doi:10.58884/akademik-hassasiyetler.1554568
Chicago Kargı, Bilal. “A REVIEW OF THE EFFECTS OF SOCIOECONOMIC AND ENVIRONMENTAL FACTORS IN EXPLANING THE PARADOX BETWEEN VACCINATION RATES AND COVID-19 RELATED MORTALITY RATES”. Akademik Hassasiyetler 11, sy. 26 (Aralık 2024): 119-46. https://doi.org/10.58884/akademik-hassasiyetler.1554568.
EndNote Kargı B (01 Aralık 2024) A REVIEW OF THE EFFECTS OF SOCIOECONOMIC AND ENVIRONMENTAL FACTORS IN EXPLANING THE PARADOX BETWEEN VACCINATION RATES AND COVID-19 RELATED MORTALITY RATES. Akademik Hassasiyetler 11 26 119–146.
IEEE B. Kargı, “A REVIEW OF THE EFFECTS OF SOCIOECONOMIC AND ENVIRONMENTAL FACTORS IN EXPLANING THE PARADOX BETWEEN VACCINATION RATES AND COVID-19 RELATED MORTALITY RATES”, Akademik Hassasiyetler, c. 11, sy. 26, ss. 119–146, 2024, doi: 10.58884/akademik-hassasiyetler.1554568.
ISNAD Kargı, Bilal. “A REVIEW OF THE EFFECTS OF SOCIOECONOMIC AND ENVIRONMENTAL FACTORS IN EXPLANING THE PARADOX BETWEEN VACCINATION RATES AND COVID-19 RELATED MORTALITY RATES”. Akademik Hassasiyetler 11/26 (Aralık 2024), 119-146. https://doi.org/10.58884/akademik-hassasiyetler.1554568.
JAMA Kargı B. A REVIEW OF THE EFFECTS OF SOCIOECONOMIC AND ENVIRONMENTAL FACTORS IN EXPLANING THE PARADOX BETWEEN VACCINATION RATES AND COVID-19 RELATED MORTALITY RATES. Akademik Hassasiyetler. 2024;11:119–146.
MLA Kargı, Bilal. “A REVIEW OF THE EFFECTS OF SOCIOECONOMIC AND ENVIRONMENTAL FACTORS IN EXPLANING THE PARADOX BETWEEN VACCINATION RATES AND COVID-19 RELATED MORTALITY RATES”. Akademik Hassasiyetler, c. 11, sy. 26, 2024, ss. 119-46, doi:10.58884/akademik-hassasiyetler.1554568.
Vancouver Kargı B. A REVIEW OF THE EFFECTS OF SOCIOECONOMIC AND ENVIRONMENTAL FACTORS IN EXPLANING THE PARADOX BETWEEN VACCINATION RATES AND COVID-19 RELATED MORTALITY RATES. Akademik Hassasiyetler. 2024;11(26):119-46.

MAKALE DEĞERLENDİRME SÜRECİ

Yazar tarafından gönderilen bir makale, gönderim tarihinden itibaren 10 gün içinde dergi sekreteri tarafından makalenin, telif sözleşmesinin ve benzerlik raporunun (Turnitin programı) eksiksiz ve düzgün bir şekilde gönderilip gönderilmediği yönünden incelenir. İstenilen bu dosyalar eksiksiz ve düzgün bir şekilde gönderilmiş ise makale; ikinci aşamada derginin yayın çizgisine uygun olup olmadığı yönünden değerlendirilir. Bu süreçte makale yayın çizgisine uygun değilse yazara iade edilir. Makale yayın çizgisine uygun ise şablona uygun bir şekilde gönderilip gönderilmediği yönünden değerlendirilir. Şayet makale şablona uyarlanıp gönderilmemiş ise değerlendirme sürecine alınmaz. Bu süreçte yazarın derginin belirlediği şartlara uygun bir şekilde sisteme makale yüklemesi beklenir. Makale şablona uygun bir şekilde hazırlanıp gönderilmiş ise son aşamada makale derginin yayın ilkeleri, yazım kuralları, öz, abstract, extented abstract, kaynakça gösterimi vb. yönlerden incelenir. Bu ayrıntılarda makalede bir sorun varsa yazarın bu hususları tamamlaması istenir ve verilen süre içerisinde eksiksiz bir şekilde yeniden makaleyi göndermesi istenir.
Tüm bu aşamaları geçen makale, editör tarafından bilimsel yeterliliğinin denetlenmesi amacıyla ikinci 7 günlük süre içerisinde çalışmaya uygun iki hakeme değerlendirmeleri için gönderilir. Hakemlerin değerlendirme süreleri 15 gündür. Bu süre zarfında hakemlik görevini tamamlamayan bir hakem olursa ilgili hakeme değerlendirmeyi tamamlaması için 7 günlük ek süre verilebilir. Bu süre zarfında hakem görevini yerine getirmezse yerine yeni bir hakem ataması yapılır. En az iki hakemden gelen raporlar olumlu ise makale yayın aşamasına alınır. Hakem raporlarından birisi olumlu diğeri olumsuz ise makale üçüncü bir hakeme gönderilir. Üçüncü hakem raporu da olumsuz ise makale ret edilir. Üçüncü hakemin değerlendirmesi olumlu ise makaleyle ilgili hakem raporları dergi alan editörlerinden oluşan Editörler Kurulu tarafından incelenir. Makalenin yayınlanmasıyla ilgili nihai karar alan editörlerinden oluşan Editörler Kurulu tarafından verilir. Hakem raporlarının yetersiz ve tatmin etmekten uzak olması veya İngilizce editör tarafından abstract ve extented abstract’ın yetersiz görülmesi hallerinde de yine makaleyle ilgili son karar Editörler Kurulu tarafından verilir. Tüm bu aşamalardan geçen bir makale en yakın sayıya yayınlanmak üzere eklenir. İlgili sayıda yer kalmaması halinde makalenin yayımı bir sonraki sayıya kaydırılır. Bu durumda ve tüm değerlendirme sürecinde yazar isterse makalesini geri çekme hakkına sahiptir. Ancak bu durumu dergiye bildirmesi gerekir. Makale gönderim tarihinden makalenin yayına kabul tarihine kadar tüm bu işlemler için ortalama 3 aylık bir süre öngörülmektedir.