HİNDİSTAN’DAKİ SARS-COV-2 PREVALANSI VE 2020 YILINDAKİ COVID19 PANDEMİSİYLE İLİŞKİLİ EPİDEMİYOLOJİK ÖZELLİKLERİN BELİRLENMESİ

Year 2023, , 250 - 262, 24.10.2023

M. Rajesh Kumar Rao , Rabidra N. Padhy , Manoj Kumar Das

https://doi.org/10.26650/JARHS2023-1293712

Abstract

Amaç: SARS-CoV-2, COVID-19 pandemisini tetiklemektedir. Çalışmamızda Hindistan eyaletleri ve yakın bölgelerinde COVID-19 hastalığının yükünün izlenmesi, epidemiyolojik özelliklerinin incelenmesi ve COVID-19 hastalığının pandemi yükü açısından Hindistan’ın eşdeğer nüfus büyüklüğüne sahip diğer dünya ülkeleri ile karşılaştırılması amaçlanmıştır.
Gereç ve Yöntemler: 31 Aralık 2020 tarihine kadar bildirilen tüm COVID pozitif vakaları üzerinde nüfus temelli karşılaştırmalı optimizasyon algoritmaları çalışması gerçekleştirilmiştir.
Bulgular: Doğrulanmış vakalar, Hindistan’da dünyanın geri kalanına göre 1:7,2 oranıyla sonuçlanırken, 1:12 oranıyla (100.000 kişi başına CMR) diğer ülkelere göre daha düşük bir ölüm oranı tespit edilmiştir. Hindistan’ın birçok idari bölgesinde, ekonomik durumu iyi ülkelerden daha düşük hastalık oranları (Z-değerleri -2653.7369 ile -11,6403 arasında değişmektedir) ve ölüm oranlarının (Z-değerleri -439.446 ile -4,86 arasında değişmektedir) olduğu görülmüştür. Hindistan’da 184.728.001 test yapıldığı, vakaların %5,6’sının COVID-19 tanısı yönünden doğrulandığı, %96,1’inin iyileştiği ve %1,4’ünün ise COVID-19 nedeniyle öldüğü tespit edilmiştir. COVID-19 erkeklerde ve 25-44 yaş arası hastalarda daha yaygın görülürken, SARSCoV- 2’nin ölüm oranlarının 60 yaş üstü kişilerde en yüksek olduğu saptanmıştır. En çok enfeksiyon vakasının Bihar’da, en çok ölümün ise Punjap’da olduğu bulunmuştur.
Sonuç: SARS-CoV-2 hastalığı Hindistan’da dünyanın geri kalanından daha düşük bir morbidite ve mortalite yüküne yol açmıştır. COVID-19’un pandemi eğrileri en net şekilde günlük piklerle sonuçlanmış ve kümülatif vaka sayısı yükseliş eğilimiyle muazzam bir artış göstermiştir. İklim değişikliğinin etkisi ve ortaya çıkan koronavirüsün epidemiyolojik özellikleriyle korele olan indikatörleri anlamak için analitik, mekânsal ve zamansal araştırma çalışmaları yürütülecektir.

Keywords

SARS-CoV-2, COVID-19, coronavirus, pandemi, epidemiyoloji

SARS-COV-2 PREVALENCE IN INDIA COMPARED TO THE REST OF THE GLOBE AND ASCERTAINS EPIDEMIOLOGICAL CHARACTERISTICS ASSOCIATED WITH THE COVID-19 PANDEMIC DURING 2020 IN INDIA

Abstract

Objectives: SARS-CoV-2 triggers a pandemic of COVID-19. We ascertain the pandemic burden of COVID-19 disease between India and the rest of the world; monitor the burden of COVID-19 disease in Indian states and union territories compared to other countries with nearly equivalent population sizes, and study the epidemiological characteristics.
Material and Methods: A population-based comparative optimization algorithms study was conducted on all COVID positive cases reported by 31st December 2020.
Results: Confirmed cases resulted in India with a ratio of 1:7.2 to the rest of the world, with a lower mortality rate with a ratio of 1:12 (CMR per 100,000 people) than other countries. Many Indian administrative regions have lower morbidity rates (Z-values range from -2653.7369 to -11.6403) and mortality (Z-values range from -439.446 to -4.86) than the countries selected. In India, 184,728,001 tests were done, with 5.6% cases confirmed, 96.1% recovered, and 1.4% dying due to COVID-19. COVID-19 was more prevalent in males and patients aged 25–44, whereas SARSCoV- n2 killed the most people over the age of 60. Bihar had the most cases of infection, while Punjab had the most deaths.
Conclusion: SARS-CoV-2 disease led India to have a lower morbidity and mortality burden than the rest of the world. The pandemic curves of COVID-19 resulted in daily peaks most significantly, and the cumulativennumber of cases increased tremendously with an upward trend. Analytical, spatial, and temporal research studies will be carried out to understand the effect of climate change and indicators that correlate with the epidemiological characteristics of the emerging coronavirus.

Keywords

SARS-CoV-2, COVID-19, coronavirus, pandemic, epidemiological

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