The DOI matches its Crossref record; 2 of the 3 references it cites were found in a registry or an index.
Differences between First wave and Second wave of COVID-19 in India
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“With the unavailability of vaccines, short supply of the available drug, limited laboratory testing, lack of scientific understanding of the virus, untrained healthcare staff, and absence of proper treatment to a large population at a reasonable cost during the first wave of COVID-19 resulted in a critically much higher death rate [28].”
From Waves and variants of SARS-CoV-2: understanding the causes and effect of the COVID-19 catastrophe (2022) · cites this paper as [28]
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Jalali, F., Ghassemzadeh, M., Mouodi, S., Javanian, M., Kani, M. A., Ghadimi, R., & Bijani, A. (2020) · Europe PMC (PubMed Central) · doi:10.22088/cjim.11.0.544 · Cited by 68
Hippich, M., Sifft, P., Zapardiel‐Gonzalo, J., Böhmer, M. M., Lampasona, V., Bonifacio, E. E., & Ziegler, A. (2021) · Med · doi:10.1016/j.medj.2021.03.019 · Cited by 42
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Waves and variants of SARS-CoV-2: understanding the causes and effect of the COVID-19 catastrophe
Thakur, V., Bhola, S., Thakur, P., Patel, S. K. S., Kulshrestha, S., Ratho, R. K., & Kumar, P. (2022) · Infection · doi:10.1007/s15010-021-01734-2 · Cited by 195
“Even with a much higher positive rate, the death rate was reported to be less than that of the first wave possibly due to vast scientific understanding of the disease and its presentation with many available drugs and approved vaccines, higher availability of medical infrastructure and facilities [28].”
Deep learning via LSTM models for COVID-19 infection forecasting in India
Chandra, R., Jain, A., & Chauhan, D. S. (2022) · PLoS ONE · doi:10.1371/journal.pone.0262708 · Cited by 196
Implications of the second wave of COVID-19 in India
Asrani, P., Eapen, M. S., Hassan, M. I., & Sohal, S. S. (2021) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(21)00312-x · Cited by 144
Malik, M. A. (2022) · Global Health Journal · doi:10.1016/j.glohj.2022.01.006 · Cited by 69
Ranganathan, P., Khatib, K. I., Dixit, S., Joshi, A., Singh, S., Deshmukh, A. M., Pandit, R. A., Joshi, M., Zirpe, K. G., Mulakavalupil, B., et al. (2021) · Indian Journal of Critical Care Medicine · doi:10.5005/jp-journals-10071-24042 · Cited by 45
Metadata
- Authors
- Jain, V. K., Iyengar, K. P., & Vaishya, R.
- Affiliations
- Atal Bihari Vajpayee Institute of Medical Sciences and Dr. Ram Manohar Lohia Hospital (IN)
- Southport and Ormskirk Hospital NHS Trust (GB)
- Indraprastha Apollo Hospitals (IN)
- Corresponding author
- Jain, Vijay Kumar
- Iyengar, Karthikeyan. P.
- Vaishya, Raju
- Venue
- Diabetes & Metabolic Syndrome: Clinical Research & Reviews
- Publisher
- Elsevier BV
- Published
- 2021-05
- Volume
- 15
- Issue
- 3
- Pages
- 1047-1048
- ISSN
- 1871-4021 (ISSN-L)
- PMC
- PMC8106236
- OpenAlex
- W3163530699
- Cited by
- 180
- References
- 3
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 16 · 2023: 32 · 2022: 85 · 2021: 38
- FWCI
- 13.54
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Diabetes & Metabolic Syndrome Clinical Research & Reviews (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Keywords
- COVID-19 pandemic, first wave, second wave, pandemic waves, India, SARS-CoV-2, epidemiological trends
- MeSH terms
- COVID-19, Humans, India
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