ArticleComputational and mathematical methods in medicine2022
Estimating the Number of COVID-19 Cases and Impact of New COVID-19 Variants and Vaccination on the Population in Kerman, Iran: A Mathematical Modeling Study.
Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Predictive models for health outcomes due to SARS-CoV-2, including the effect of vaccination: a systematic review.Systematic reviews · 2024Pooled it
- Epidemiological characteristics and transmission dynamics of COVID-19 outbreaks in China: a four-year retrospective analysis using extended SEIR models.BMC public health · 2026Article
- Comparing the Emergency Care of Iranian and Afghan Patients During the COVID-19 Pandemic.Archives of Iranian medicine · 2024Article
- Impact of vaccination status on clinical outcomes of hospitalized COVID-19 patients.BMC infectious diseases · 2024Article
- The Impact of COVID-19 on Trauma Emergency Patients in Southeastern Iran.Bulletin of emergency and trauma · 2024Article
- Mathematical Modeling of SARS-CoV-2 Omicron Wave under Vaccination Effects.Computation (Basel, Switzerland) · 2023Article
- Epidemiological characteristics and transmission dynamics of the COVID-19 outbreak in Hohhot, China: a time-varying SQEIAHR model analysis.Frontiers in public health · 2023Article
- Investigating the burden of disease dimensions (time-dependent, developmental, physical, social and emotional) among family caregivers with COVID-19 patients in Iran.BMC primary care · 2022Article
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
COVID-19 is spreading all over Iran, and Kerman is one of the most affected cities. We conducted this study to predict COVID-19-related deaths, hospitalization, and infected cases under different scenarios (scenarios A, B, and C) by 31 December 2021 in Kerman. We also aimed to assess the impact of new COVID-19 variants and vaccination on the total number of COVID-19 cases, deaths, and hospitalizations (scenarios D, E, and F) using the modified susceptible-exposed-infected-removed (SEIR) model. We calibrated the model using deaths reported from the start of the epidemic to August 30, 2021. A Monte Carlo Markov Chain (MCMC) uncertainty analysis was used to estimate 95% uncertainty intervals (UI). We also calculated the time-varying reproductive number (
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