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DC Field | Value | Language |
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dc.contributor.author | Jakhmola, Shweta | en_US |
dc.contributor.author | Baral, Budhadev | en_US |
dc.contributor.author | Jha, Hem Chandra | en_US |
dc.date.accessioned | 2022-03-17T01:00:00Z | - |
dc.date.accessioned | 2022-03-17T15:30:53Z | - |
dc.date.available | 2022-03-17T01:00:00Z | - |
dc.date.available | 2022-03-17T15:30:53Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Jakhmola, S., Baral, B., & Jha, H. C. (2021). A comparative analysis of COVID-19 outbreak on age groups and both the sexes of population from india and other countries. Journal of Infection in Developing Countries, 15(3), 333-341. doi:10.3855/jidc.13698 | en_US |
dc.identifier.issn | 2036-6590 | - |
dc.identifier.other | EID(2-s2.0-85104210037) | - |
dc.identifier.uri | https://doi.org/10.3855/jidc.13698 | - |
dc.identifier.uri | https://dspace.iiti.ac.in/handle/123456789/3873 | - |
dc.description.abstract | Introduction: The study of epidemiological outcomes of COVID-19 in the affected countries needs to be conducted to implement an effective strategy. Methodology: Our study included age and sex-based analysis of epidemiological data of infected and deceased patients from various countries. The patient data was graphically depicted with the slope's calculation to describe a gradual or steep spread of the disease along with subsequent rise or fall in the death reports. Results: Population groups of 20-49 years of age and 50 years-above were highly vulnerable to infection. Interestingly, 20-49 years of age group was most affected in India. However, higher population of the deceased were reported in the 50 years-above in all countries. India and South Korea demonstrated a gradual appearance of COVID-19 positive cases than other countries illustrated by reduced slope %. Further the highest percentage of infected people and deaths were reported from the densely populated states of India. We observed a sex independent prevalence of COVID-19. The BCG and JE vaccine are unique in the vaccination regime of India and South Korea. Conclusions: Reduced ACE-2 expression in the children's nasal epithelium may be responsible for reduced SARS-CoV-2 susceptibility. Countries showed varying patterns in COVID-19 spread and associated mortality. It may be influenced by factors, such as screening strategy, countries demography, implementation of lockdown, etc. Due to limited evidence, it would be difficult to point to the influence of the virus on either sexes. Although vaccines may stimulate non-specific immunity, experimental proofs are needed to demonstrate the potential of any vaccine against SARS-CoV-2. Copyright © 2021 Jakhmola et al. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Journal of Infection in Developing Countries | en_US |
dc.source | Journal of Infection in Developing Countries | en_US |
dc.subject | BCG vaccine | en_US |
dc.subject | Japanese encephalitis vaccine | en_US |
dc.subject | ACE2 protein, human | en_US |
dc.subject | adaptive immunity | en_US |
dc.subject | adolescent | en_US |
dc.subject | adult | en_US |
dc.subject | age | en_US |
dc.subject | Article | en_US |
dc.subject | comparative study | en_US |
dc.subject | coronavirus disease 2019 | en_US |
dc.subject | data analysis | en_US |
dc.subject | demography | en_US |
dc.subject | female | en_US |
dc.subject | Germany | en_US |
dc.subject | human | en_US |
dc.subject | immunization | en_US |
dc.subject | India | en_US |
dc.subject | infant | en_US |
dc.subject | information processing | en_US |
dc.subject | Italy | en_US |
dc.subject | major clinical study | en_US |
dc.subject | male | en_US |
dc.subject | middle aged | en_US |
dc.subject | mortality | en_US |
dc.subject | mortality rate | en_US |
dc.subject | Netherlands | en_US |
dc.subject | newborn | en_US |
dc.subject | nonhuman | en_US |
dc.subject | particle size | en_US |
dc.subject | preschool child | en_US |
dc.subject | prevalence | en_US |
dc.subject | real time polymerase chain reaction | en_US |
dc.subject | school child | en_US |
dc.subject | South Korea | en_US |
dc.subject | Spain | en_US |
dc.subject | vaccination | en_US |
dc.subject | young adult | en_US |
dc.subject | age distribution | en_US |
dc.subject | child | en_US |
dc.subject | disease predisposition | en_US |
dc.subject | epidemic | en_US |
dc.subject | epidemiology | en_US |
dc.subject | Europe | en_US |
dc.subject | genetics | en_US |
dc.subject | mortality | en_US |
dc.subject | sex ratio | en_US |
dc.subject | Adolescent | en_US |
dc.subject | Adult | en_US |
dc.subject | Age Distribution | en_US |
dc.subject | Angiotensin-Converting Enzyme 2 | en_US |
dc.subject | Child | en_US |
dc.subject | Child, Preschool | en_US |
dc.subject | COVID-19 | en_US |
dc.subject | Disease Outbreaks | en_US |
dc.subject | Disease Susceptibility | en_US |
dc.subject | Europe | en_US |
dc.subject | Female | en_US |
dc.subject | Humans | en_US |
dc.subject | India | en_US |
dc.subject | Infant | en_US |
dc.subject | Infant, Newborn | en_US |
dc.subject | Male | en_US |
dc.subject | Middle Aged | en_US |
dc.subject | Prevalence | en_US |
dc.subject | Republic of Korea | en_US |
dc.subject | Sex Distribution | en_US |
dc.subject | Young Adult | en_US |
dc.title | A comparative analysis of COVID-19 outbreak on age groups and both the sexes of population from India and other countries | en_US |
dc.type | Journal Article | en_US |
dc.rights.license | All Open Access, Gold | - |
Appears in Collections: | Department of Biosciences and Biomedical Engineering |
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