COVID-19: Insight into the asymptomatic SARS-COV-2 infection and transmission

Han, Dongsheng; Li, Rui; Han, Yanxi; Zhang, Rui; Li, Jinming

doi:10.7150/ijbs.48991

Cited by 83 publications

(71 citation statements)

References 75 publications

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“…We include the asymptomatic carriers of the SARS-CoV-2, who are nevertheless able to spread the virus. The reason to include them is that asymptomatic people are very important contributors in the spread of the SARS-CoV-2, and this subpopulation has been considered in other studies related to the COVID-19 pandemic [20,72,[76][77][78][79][80][81][82][83][84][85][86][87][88][89][90][91][92]. It has been found that quantitative SARS-CoV-2 viral loads were similarly high for infected individuals with symptoms, pre-symptomatic, or asymptomatic.…”

Section: Introductionmentioning

confidence: 99%

Impact of a New SARS-CoV-2 Variant on the Population: A Mathematical Modeling Approach

González-Parra

Martínez‐Rodríguez

Micó

2021

MCA

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Several SARS-CoV-2 variants have emerged around the world, and the appearance of other variants depends on many factors. These new variants might have different characteristics that can affect the transmissibility and death rate. The administration of vaccines against the coronavirus disease 2019 (COVID-19) started in early December of 2020 and in some countries the vaccines will not soon be widely available. For this article, we studied the impact of a new more transmissible SARS-CoV-2 strain on prevalence, hospitalizations, and deaths related to the SARS-CoV-2 virus. We studied different scenarios regarding the transmissibility in order to provide a scientific support for public health policies and bring awareness of potential future situations related to the COVID-19 pandemic. We constructed a compartmental mathematical model based on differential equations to study these different scenarios. In this way, we are able to understand how a new, more infectious strain of the virus can impact the dynamics of the COVID-19 pandemic. We studied several metrics related to the possible outcomes of the COVID-19 pandemic in order to assess the impact of a higher transmissibility of a new SARS-CoV-2 strain on these metrics. We found that, even if the new variant has the same death rate, its high transmissibility can increase the number of infected people, those hospitalized, and deaths. The simulation results show that health institutions need to focus on increasing non-pharmaceutical interventions and the pace of vaccine inoculation since a new variant with higher transmissibility, such as, for example, VOC-202012/01 of lineage B.1.1.7, may cause more devastating outcomes in the population.

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Section: Introductionmentioning

confidence: 99%

Impact of a New SARS-CoV-2 Variant on the Population: A Mathematical Modeling Approach

González-Parra

Martínez‐Rodríguez

Micó

2021

MCA

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“…For instance, the infected reported cases have uncertainties due to many factors such sensitivity and specificity of COVID-19 tests [10, 127]. Moreover, asymptomatic cases represent a great uncertainty [31, 43, 52, 62, 90, 100, 124, 132, 7]. Taking into account these uncertainties, we set the initial conditions presented in Table 2.…”

Section: Methodsmentioning

confidence: 99%

“…We use this value based on information from the CDC official website, even though it is mentioned that there is uncertainty in this percentage. We found that there is a large uncertainty in scientific literature regarding this percentage [30, 31, 43, 52, 62, 90, 100, 124, 132, 7]. Therefore, we vary it in order to deal with its uncertainty.…”

Section: Methodsmentioning

confidence: 99%

“…In particular, we include the asymptomatic carriers of the virus, who are nevertheless able to spread the virus. It has been mentioned that asymptomatic people are in some way a key contributor in the spread of the SARS-CoV-2 virus, and are real threat for the control policies [7, 62, 90, 100, 124, 43, 68, 52, 132, 31, 62]. For instance, it has been found that quantitative SARS-CoV-2 viral loads were similarly high for infected individuals with symptoms, pre-symptomatic, or asymptomatic.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of key factors of a SARS-CoV-2 vaccination program: A mathematical modeling approach

Martínez‐Rodríguez

González-Parra

Micó

2021

Preprint

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The administration of vaccines against the coronavirus disease 2019 (COVID-19) just started in early December of 2020. Currently, there are only a few approved vaccines, each with different efficacies and mechanisms of action. Moreover, vaccination programs in different regions may vary due to differences in implementation, for instance, simply the availability of the vaccine. In this article, we study the impact of the pace of vaccination and the intrinsic efficacy of the vaccine on prevalence, hospitalizations, and deaths related to the SARS-CoV-2 virus. Then we study different potential future scenarios regarding the burden of the COVID-19 pandemic in the near future. We construct a compartmental mathematical model and use computational methodologies to study these different scenarios. Thus, we are able identify some key factors to reach the aims of the vaccination programs. We use some metrics related to the outcomes of the COVID-19 pandemic in order to assess the impact of the efficacy of the vaccine and the pace of the vaccine inoculation. We found that both factors have a high impact on the outcomes. However, the rate of vaccine administration has a higher impact in reducing the burden of the COVID-19 pandemic. This result shows that health institutions need to focus in increasing the vaccine inoculation pace and create awareness in the population about the importance of COVID-19 vaccines.

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“…It was found that the virus has potentially unfavorable outcomes for both mother and fetus during the perinatal period (18). Although reports have suggested a lower prevalence in pediatric populations (19)(20)(21), Castagnoli et al (5), in their systematic review of 18 studies, identified 1,065 pediatric cases of SARS-CoV-2 infection. Clinical manifestations of the disease in children might be less severe as compared with adult patients (6,7,(21)(22)(23)(24)(25), however, younger children and infants are more susceptible to infections (24).…”

Section: Introductionmentioning

confidence: 99%

Decrease in Admissions and Change in the Diagnostic Landscape in a Newborn Care Unit in Northern Ghana During the COVID-19 Pandemic

et al. 2021

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Background: The coronavirus disease (COVID-19) has spread worldwide with an increasing number of patients, including pregnant women and neonates. This study aims to evaluate morbidity and mortality in the COVID-19 era compared to the preceding year in the Neonatal Intensive Care Unit (NICU) at Tamale Teaching Hospital, Ghana.Methods: This is a cross-sectional study carried out on neonates admitted to NICU between March 1st to August 31st, 2019 (pre-COVID-19 era) and March 1st to August 31st, 2020 (COVID-19 era). Multivariate logistic regression was performed to identify predictors of mortality for both periods.Results: From 2,901 neonates, 1,616 (56%) were admitted before, and 1,285 (44%) were admitted during the pandemic. Admissions decreased during the COVID-19 era, reaching their lowest point between June and August 2020. Compared to the previous year, during the COVID-19 era, admissions of patients born at TTH, delivered at home, and with infections decreased from 50 to 39%, 7 to 4%, and 22 to 13%, respectively. Referred status (OR = 3.3) and vaginal delivery (OR = 1.6) were associated with an increased likelihood of mortality. For low- birth weight neonates, admissions of patients born at TTH, with vaginal and home delivery decreased from 62 to 48%, 8 to 2%, and 59 to 52%, respectively. Neonatal infections and congenital anomalies decreased from 8 to 4%, 5 to 3%, respectively. The likelihood of mortality among referred patients increased by 50%.Conclusion: We observed a marked decrease in admissions and change in the diagnosis landscape and related mortality during the pandemic. Underlying challenges, including fear, financing, and health system capacity, might intensify delays and lack of access to newborn care in northern Ghana, leading to higher rates of lifelong disabilities and mortality. Immediate damage control measures, including an improved home-based continuum of care and equipping families to participate in the newborn care with complemented m-health approaches, are needed with urgency.

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COVID-19: Insight into the asymptomatic SARS-COV-2 infection and transmission

Cited by 83 publications

References 75 publications

Impact of a New SARS-CoV-2 Variant on the Population: A Mathematical Modeling Approach

Impact of a New SARS-CoV-2 Variant on the Population: A Mathematical Modeling Approach

Analysis of key factors of a SARS-CoV-2 vaccination program: A mathematical modeling approach

Decrease in Admissions and Change in the Diagnostic Landscape in a Newborn Care Unit in Northern Ghana During the COVID-19 Pandemic

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