Observed versus estimated actual trend of COVID-19 case numbers in Cameroon: A data-driven modelling

Sandie, Arsène Brunelle; Tejiokem, Mathurin Cyrille; Faye, Cheikh; Hamadou, Achta; Abah, Aristide; Mbah, Serge Sadeuh; Tagnouokam-Ngoupo, Paul Alain; Njouom, Richard; Eyangoh, Sara; Abanda, Ngu Karl; Tchuente, Maurice; Tchatchueng-Mbougua, Jules Brice; Miled, Slimane Ben; Diarra, Maryam; Loucoubar, Cheikh; Opatowski, Lulla; Hamidouche, M.; Kebir, Amira; Louati, Dorra; Lazoumar, Ramatoulaye Hamidou; Talla, Cheikh; Aribi, Walid Ben; Yahia, Nesrine Ben; Nasri, Ahmed; Naffeti, Bechir

doi:10.1016/j.idm.2023.02.001

Cited by 4 publications

(4 citation statements)

References 28 publications

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“…Individuals who had both been infected and vaccinated showed higher neutralization activities of W pseudotyped particles compared to vaccinated and uninfected or unvaccinated individuals. These data are consistent with previous reports that suggest that hybrid immunity resulting from both infection and vaccination confers better protection than vaccination or infection alone [33][34][35]. Our results further support the effectiveness of vaccination in providing protection against strain W.…”

Section: Discussionsupporting

confidence: 93%

SARS-CoV-2 Neutralizing Antibodies in Three African Countries Following Multiple Distinct Immune Challenges

Ny Mioramalala,

Ratovoson,

Tagnouokam-Ngoupo

et al. 2024

Vaccines

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Background: The COVID-19 pandemic has affected Madagascar, Cameroon, and the Central African Republic (CAR), with each experiencing multiple waves by mid-2022. This study aimed to evaluate immunity against SARS-CoV-2 strains Wuhan (W) and BA.2 (BA.2) among healthcare workers (HCWs) in these countries, focusing on vaccination and natural infection effects. Methods: HCWs’ serum samples were analyzed for neutralizing antibodies (nAbs) against W and BA.2 variants, with statistical analyses comparing responses between countries and vaccination statuses. Results: Madagascar showed significantly higher nAb titers against both strains compared to CAR and Cameroon. Vaccination notably increased nAb levels against W by 2.6-fold in CAR and 1.8-fold in Madagascar, and against BA.2 by 1.6-fold in Madagascar and 1.5-fold in CAR. However, in Cameroon, there was no significant difference in nAb levels between vaccinated and unvaccinated groups. Conclusion: This study highlights the complex relationship between natural and vaccine-induced immunity, emphasizing the importance of assessing immunity in regions with varied epidemic experiences and low vaccination rates.

show abstract

Section: Discussionsupporting

confidence: 93%

SARS-CoV-2 Neutralizing Antibodies in Three African Countries Following Multiple Distinct Immune Challenges

Ny Mioramalala,

Ratovoson,

Tagnouokam-Ngoupo

et al. 2024

Vaccines

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show abstract

“…This surprising result could be due to low reporting and/or little symptomatic presentation in a context of high natural immunization (four successive waves) [4]. WHO has indeed stated that the reported number of COVID-19 infection cases in Cameroon was underestimated [33].…”

Section: Discussionmentioning

confidence: 99%

SARS-CoV-2 Neutralizing Antibodies in Three African Countries Following Multiple Distinct Immune Challenges

Ny Mioramalala,

Ratovoson,

Tagnouokam-Ngoupo

et al. 2024

Preprint

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Background: The COVID-19 pandemic has affected Madagascar, Cameroon, and the Central African Republic (CAR), with each experiencing multiple waves by mid-2022. This study aimed to evaluate immunity against SARS-CoV-2 strains Wuhan (W) and BA.2 (BA.2) among healthcare workers (HCWs) in these countries, focusing on vaccination and natural infection effects. Methods: HCWs' serum samples were analyzed for neutralizing antibodies (nAbs) against W and BA.2 variants, with statistical analyses comparing responses between countries and vaccination statuses. Results: Madagascar showed significantly higher nAb titers against both strains compared to CAR and Cameroon. Vaccination notably increased nAb levels against W by 2.6-fold in CAR and 1.8-fold in Madagascar, and against BA.2 by 1.6-fold in Madagascar and 1.5-fold in CAR. However, in Cameroon, there was no significant difference in nAb levels between vaccinated and unvaccinated groups. Conclusion: The study highlights the complex relationship between natural and vaccine-induced immunity, emphasizing the importance of assessing immunity in regions with varied epidemic experiences and low vaccination rates.

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“…Researchers into battery technology have always been interested in improving cycle life. A new, data-driven, large-scale model has been constructed by Sandie et al [17]. The capacity to employ ANNs to assess the laws of high-dimensional dataset allows for the prediction of the whole lifecycle of graphite batteries, or commercial lithium iron phosphate using just the charging and discharging dataset of the first couple of cycles, without any analysis of the process of battery deterioration.…”

Section: Upgrading Of Characterization Methodsmentioning

confidence: 99%

A Review on Background and Applications of Machine Learning in Materials Research

Ahmed,

Ahler

2023

JCIMS

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In recent decades, Artificial Intelligence (AI) has garnered considerable interest owing to its potential to facilitate greater levels of automation and speed up overall output. There has been a significant increase in the quantity of training data sets, processing capacity, and deep learning techniques that are all favorable to the widespread use of AI in fields like material science. Attempting to learn anything new by trial and error is a slow and ineffective approach. Therefore, AI, and particularly machine learning, may hasten the process by gleaning rules from information and constructing predictive models. In traditional computational chemistry, human scientists give the formulae, and the computer just crunches the numbers. In this article, we take a look back at the ways in which artificial intelligence has been put to use in the creation of new materials, such as in their design, performance prediction, and synthesis. In these programs, an emphasis is placed on the specifics of AI methodology implementation and the benefits gained over more traditional approaches. The last section elaborates, from both an algorithmic and an infrastructural perspective, where AI is headed in the future.

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Observed versus estimated actual trend of COVID-19 case numbers in Cameroon: A data-driven modelling

Cited by 4 publications

References 28 publications

SARS-CoV-2 Neutralizing Antibodies in Three African Countries Following Multiple Distinct Immune Challenges

SARS-CoV-2 Neutralizing Antibodies in Three African Countries Following Multiple Distinct Immune Challenges

SARS-CoV-2 Neutralizing Antibodies in Three African Countries Following Multiple Distinct Immune Challenges

A Review on Background and Applications of Machine Learning in Materials Research

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