India’s pragmatic vaccination strategy against COVID-19: a mathematical modelling-based analysis
| Autor: | Nimalan Arinaminpathy, Sandip Mandal, Balram Bhargava, Samiran Panda |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Adult
medicine.medical_specialty Population Psychological intervention India 03 medical and health sciences Young Adult 0302 clinical medicine Environmental health Epidemiology Case fatality rate medicine Humans 030212 general & internal medicine education Health policy 030304 developmental biology 0303 health sciences education.field_of_study business.industry SARS-CoV-2 Incidence (epidemiology) Public health Health Policy public health Vaccination COVID-19 General Medicine Middle Aged Models Theoretical Medicine epidemiology business |
| Zdroj: | BMJ Open BMJ Open, Vol 11, Iss 7 (2021) |
| ISSN: | 2044-6055 |
| Popis: | ObjectivesTo investigate the impact of targeted vaccination strategies on morbidity and mortality due to COVID-19, as well as on the incidence of SARS-CoV-2, in India.DesignMathematical modelling.SettingsIndian epidemic of COVID-19 and vulnerable population.Data sourcesCountry-specific and age-segregated pattern of social contact, case fatality rate and demographic data obtained from peer-reviewed literature and public domain.ModelAn age-structured dynamical model describing SARS-CoV-2 transmission in India incorporating uncertainty in natural history parameters was constructed.InterventionsComparison of different vaccine strategies by targeting priority groups such as keyworkers including healthcare professionals, individuals with comorbidities (24–60 years old) and all above 60.Main outcome measuresIncidence reduction and averted deaths in different scenarios, assuming that the current restrictions are fully lifted as vaccination is implemented.ResultsThe priority groups together account for about 18% of India’s population. An infection-preventing vaccine with 60% efficacy covering all these groups would reduce peak symptomatic incidence by 20.6% (95% uncertainty intervals (UI) 16.7–25.4) and cumulative mortality by 29.7% (95% CrI 25.8–33.8). A similar vaccine with ability to prevent symptoms (but not infection) will reduce peak incidence of symptomatic cases by 10.4% (95% CrI 8.4–13.0) and cumulative mortality by 32.9% (95% CrI 28.6–37.3). In the event of insufficient vaccine supply to cover all priority groups, model projections suggest that after keyworkers, vaccine strategy should prioritise all who are >60 and subsequently individuals with comorbidities. In settings with weakest transmission, such as sparsely populated rural areas, those with comorbidities should be prioritised after keyworkers.ConclusionsAn appropriately targeted vaccination strategy would witness substantial mitigation of impact of COVID-19 in a country like India with wide heterogeneity. ‘Smart vaccination’, based on public health considerations, rather than mass vaccination, appears prudent. |
| Databáze: | OpenAIRE |
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