ArticleThe Indian journal of tuberculosis2020
COVID-19 and tuberculosis: A mathematical model based forecasting in Delhi, India.
Article in The Indian journal of tuberculosis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.
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Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 67 citations in OpenAlex.
- Co-circulating pathogens of humans: a systematic review of mechanistic transmission models.Proceedings. Biological sciences · 2025Pooled it
- Mechanistic Models of Virus-Bacteria Co-Infections in Humans: A Systematic Review of Methods and Assumptions.Pathogens (Basel, Switzerland) · 2025Pooled it
- Fractal fractional model for tuberculosis: existence and numerical solutions.Scientific reports · 2024Article
- A mathematical model for the co-dynamics of COVID-19 and tuberculosis.Mathematics and computers in simulation · 2023Article
- Transition dynamics between a novel coinfection model of fractional-order for COVID-19 and tuberculosis via a treatment mechanism.European physical journal plus · 2023Article
- Mathematical modelling and analysis of COVID-19 and tuberculosis transmission dynamics.Informatics in medicine unlocked · 2023Article
- Article
- The COVID-19 and TB syndemic: the way forward.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2022Review
- Mathematical modelling of COVID-19 transmission dynamics in a partially comorbid community.Partial differential equations in applied mathematics : a spin-off of Applied Mathematics Letters · 2022Article
- A novel hybrid fuzzy time series model for prediction of COVID-19 infected cases and deaths in India.ISA transactions · 2022Article
- COVID-19 Global Humanitarian Response Plan: An optimal distribution model for high-priority countries.ISA transactions · 2022Article
- COVID-19 and Chikungunya: an optimal control model with consideration of social and environmental factors.Journal of ambient intelligence and humanized computing · 2022Article
- A noninteger order SEITR dynamical model for TB.Advances in continuous and discrete models · 2022Article
- Ligand-protein interactions of plant-isolated (9z,12z)-octadeca-9,12-dienoic acid with Β-ketoacyl-Acp synthase (KasA) in potential anti-tubercular drug designing.Scientific African · 2021Article
- Deep learning-based forecasting model for COVID-19 outbreak in Saudi Arabia.Process safety and environmental protection : transactions of the Institution of Chemical Engineers, Part B · 2021Article
- Review of potential risk groups for coronavirus disease 2019 (COVID-19).New microbes and new infections · 2021Review
- Coronavirus disease 2019 and extra-pulmonary tuberculosis co-infection - A case report and review of literature.Journal of clinical tuberculosis and other mycobacterial diseases · 2021Article
- A SIQ mathematical model on COVID-19 investigating the lockdown effect.Infectious Disease Modelling · 2021Article
- A dynamic optimal control model for COVID-19 and cholera co-infection in Yemen.Advances in difference equations · 2021Article
- Coronaviruses pathogenesis, comorbidities and multi-organ damage - A review.Life sciences · 2020Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere is emerging evidence that patients with Latent Tuberculosis Infection(LTBI) and Tuberculosis(TB) disease have an increased risk of the SARS-CoV-2 infection and predisposition towards developing severe COVID-19 pneumonia. In this study we attempted to estimate the number of TB patients infected with SARS-CoV-2 and have severe disease during the COVID-19 epidemic in Delhi, India.
methodsSusceptible-Exposed-Infectious-Recovered (SEIR) model was used to estimate the number of COVID-19 cases in Delhi. Assuming the prevalence of TB in Delhi to be 0.55%, 53% of SARS-CoV2 infected TB cases to present with severe disease we estimated the number of SARS-CoV2 infected TB cases and the number of severe patients. The modelling used estimated R
resultsWe observed that the peak of SARS-CoV-2-TB co-infected patients would occur on the 94th day in absence of public health interventions and on 138th day in presence of interventions. There could be 20,880 SARS-CoV-2 infected TB cases on peak day of epidemic when interventions are implemented and 27,968 cases in the absence of intervention. Among them, there could be 14,823 patients with severe disease when no interventions are implemented and 11,066 patients with severe disease in the presence of intervention.
conclusionThe importance of primary prevention measures needs to be emphasized especially in TB patients. The TB treatment centres and hospitals needs to be prepared for early diagnosis and management of severe COVID-19 in TB patients.
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