Cholera in Syria, a crisis following crises: Assessment of knowledge, attitude, and practice in a cohort of syrian population

Albitar, Lina; Almasri, Imad Addin

doi:10.1016/j.heliyon.2023.e18278

Cited by 3 publications

(3 citation statements)

References 12 publications

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“…All the subsequent simulations corresponding to Figs. (3)(4)(5)(6)(7) were performed in MATLAB R2023b.…”

Section: Non-medicinal Interventionsmentioning

confidence: 99%

“…Despite these efforts, outbreaks continue to pose challenges, particularly in areas with inadequate access to clean water and sanitation. Cholera remains a significant public health concern, underscoring the ongoing importance of global efforts to prevent, detect, and respond to this infectious disease [5, 6, 7, 8].…”

Section: Introductionmentioning

confidence: 99%

“…The suppression parameter of cross interaction τ which accounts for various levels of segregation or integration between the two populations is varied between 0 ≤ τ ≤ 1. All the subsequent simulations corresponding to Figs (3)(4)(5)(6)(7). were performed in MATLAB R2023b.In Fig.3, we forecast the anticipated number of infections in the absence of interventions across various levels of segregation or integration, represented by the suppression factor τ = 0, 0.25, 0.5, 0.75 and 1, This gradient reflects different degrees of population interaction, ranging from complete segregation to full integration.…”

mentioning

confidence: 99%

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Investigating the Impact of Segregation and Integration on Infection Dynamics: Analysis of a Cholera Model in a Two-Population System

El Deeb,

Matar

2024

Preprint

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We present a novel dynamic model designed to depict Cholera outbreaks within a two-population framework featuring two environmental reservoirs. The model is designed to emulate the impact of segregation or integration between two populations on the transmission of the disease and infections throughout the entire community, both with and without non-medicinal interventions. This is achieved by allowing infectious individuals to interact with the reservoir of the alternate population at different levels of suppression, in addition to their regular interaction with their own reservoir. We find out that increased suppression of cross community interaction reduces the number of infections in the overall population as well as in the population with less contamination and contact. Additionally, we predict significant delays in the occurrence of peak infections, affording public health authorities crucial time for intervention. Lowering cross-immunity interactions also leads to a decrease in bacterial concentrations in environmental reservoirs. Finally, we demonstrate that non-medicinal interventions, including sanitation and water purification, would significantly reduce and delay infections, providing a valuable time frame for implementing additional medicinal measures.

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“…All the subsequent simulations corresponding to Figs. (3)(4)(5)(6)(7) were performed in MATLAB R2023b.…”

Section: Non-medicinal Interventionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Investigating the Impact of Segregation and Integration on Infection Dynamics: Analysis of a Cholera Model in a Two-Population System

El Deeb,

Matar

2024

Preprint

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Covid-19 and Cholera Co-Infection and Comorbidity in Africa and Asia: A Systematic Review and Meta Analysis

Akinsulie,

Olukogbe,

Idris

et al. 2024

Preprint

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In Africa and Asia, the interplay between COVID-19 and cholera has manifested as a dual burden on healthcare systems and economies and as a potential public health threat, necessitating effective intervention. Cholera outbreaks have surged, especially in Africa, compounded by the recent COVID-19 pandemic. Due to a shift in focus towards combating COVID-19 and the consequent weakening of healthcare systems, data on cholera outbreaks are limited in many Asian and African nations in recent times. Here, we conducted a systematic review using available data from published articles on the impact of COVID-19 pandemic on cholera cases in Africa and Asia. Using the keywords “COVID-19”, “Cholera”, and “Endemic region”, we gathered articles from electronic databases while adhering to the established syntax. As a result, 642 articles were identified from PubMed, 4 from the Cochrane Library, and 7 from the Global Index Medicine. Eighteen studies met the inclusion criteria. The meta-analysis showed that COVID-19 and cholera comorbidity and coinfection in both Africa and Asia were strongly positively correlated (95% CI = 0.80, 0.99). These findings suggest that cholera incidence and mortality were elevated during the COVID-19 pandemic in Africa and Asia. The development of measures to prevent cholera outbreaks, especially those strengthening healthcare systems, which were largely overwhelmed during the COVID-19 pandemic, is necessary to bolster public health.

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COVID-19 and cholera co-infection and comorbidity in Africa and Asia: a systematic review and meta-analysis

Akinsulie,

Olukogbe,

Idris

et al. 2023

Journal of Global Health Economics and Policy

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Background Cholera and COVID-19 represent a dual burden on healthcare systems, especially in low-resource settings. Despite their significant impact, data on their co-occurrence and interaction remain unreliable. This is primarily due to limited and fragmented data availability, which affects our understanding of the relationship between these two diseases. This systematic review aims to address these gaps by summarizing the current state of knowledge and identifying specific data deficiencies. Methods A comprehensive search was conducted on PubMed, Scopus, and Web of Science. The search was limited to studies published from January 2020 to December 2023. Specific search terms included “cholera and COVID-19 co-infection,” “cholera outbreaks during COVID-19,” and “impact of COVID-19 on cholera.” The Studies were selected based on predefined criteria, including relevance to the topic, quality of the data, and geographical scope. The Studies were selected based on predefined criteria, including relevance to the topic, quality of the data, and geographical scope. Results A total of 18 studies were identified, encompassing a range of geographic locations and study designs. A meta-analysis revealed a strong positive correlation (95% confidence interval, CI=0.80, 0.99) between COVID-19 and cholera coinfection and comorbidity in Africa and Asia. Specifically, the correlation was observed between the frequency of cholera cases and the incidence of COVID-19, highlighting how the pandemic exacerbated cholera outbreaks in certain regions. Conclusions The findings highlight the essential need for improved data collection and surveillance to better understand and manage the dual burden of cholera and COVID-19. The systematic review also highlights significant publication bias and data limitations, suggesting that future research should focus on addressing these gaps through enhanced data collection methods and rigorous analysis. Recommendations include developing targeted interventions to improve vaccination coverage and water, sanitation, and hygiene (WASH) practices, alongside strategies to counteract misinformation about vaccines. PROSPERO Registration ID: CRD42023485040

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Cholera in Syria, a crisis following crises: Assessment of knowledge, attitude, and practice in a cohort of syrian population

Cited by 3 publications

References 12 publications

Investigating the Impact of Segregation and Integration on Infection Dynamics: Analysis of a Cholera Model in a Two-Population System

Investigating the Impact of Segregation and Integration on Infection Dynamics: Analysis of a Cholera Model in a Two-Population System

Covid-19 and Cholera Co-Infection and Comorbidity in Africa and Asia: A Systematic Review and Meta Analysis

COVID-19 and cholera co-infection and comorbidity in Africa and Asia: a systematic review and meta-analysis

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