Uncomfortable Truths about Modern Epidemics: A Review of The Pandemic Century and Interview with Author Mark Honigsbaum

Dunavan, Claire Panosian

doi:10.4269/ajtmh.19-0388

Cited by 3 publications

(3 citation statements)

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“…Access pool and to categorize Covid-19 vaccines as 'global good' and GAVI's Covax Advance Market Commitment and other initiatives, the temptation to prioritize producer countries will be high. As often seen, the potential of selfish gain trumping over collective good is high [39].…”

Section: Improved Methods/technologies For Surveillance Identificatimentioning

confidence: 95%

“…No virus poses a greater threat to more people [37,38]. It is only good fortune that we haven't seen another pandemic as severe as 1918 [39]. It is almost a certainty that there will be another influenza or other (of the some hundreds of new coronavirus species and the 10,000 potentially zoonotic mammalian viruses) [40] pandemic of one magnitude/ type or another [30,37].…”

Section: Introductionmentioning

confidence: 99%

“…Bearing in mind that rarely has scientific provisions been as challenged as it is now even in the most developed countries, it is advisable to remember that medical scientists in general and tropical medicine specialists in particular ignore history at their peril [35,39,43]. So we should, as we struggle to control the current one, do so with preparation for the future in mind and hopefully break 'the cycle of panic then forget' since the first recorded pandemic [5,44].…”

Section: Introductionmentioning

confidence: 99%

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Evidence-Based Preparedness for Post COVID-19

Kitaw¹,

Kaba²

2021

Science-Based Approaches to Respond to COVID and Other Public Health Threats

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In spite of skepticisms at various levels, the COVID-19 pandemic posed unprecedented impact on global health and economy. Although projections have yet to materialize, African countries are not at their worst with COVID-19. Yet, the worst is probably in the making despite swift, progressive, and adaptable responses many African countries have taken based on lessons from countries affected by the pandemic earlier. While efforts are underway to contain the current pandemic, the almost certain hit by another pandemic may call for appropriate preparation. This review aims to shade light on the need to align current COVID-19 prevention and management with preparation for the potential next one. A rapid review of available evidence was undertaken using clearly defined inclusion criteria and data analysis methods. The immediate focus of preparedness is coordination of interventions where evidence generation, policy making, public and private sector as well as community engagement is required to contain the current COVID-19 pandemic. Improved/adapted mathematical projections to guide decisions; improved/adapted methods for risk communication and community engagement; improved methods/technologies for surveillance, case detection and containment; optimal use of all the limited available resources; and strengthening partnerships at all levels need to be strengthened. Current endeavors should pay attention to strengthen the surveillance system for early detection; provision of adequate health care infrastructure; strong and capable health workforce and financing. Furthermore, strengthen research capacity to play its role to shape the post-COVID-19 is critical by strengthening inter and intra-disciplinary research capacities; forging partnerships at all levels. Evidently COVID-19 has posed unprecedented challenge to the globe at large. Yet, it also offered opportunities to reassess existing health system vis-à-vis the pandemics. Besides, useful lessons from COVID-19 are that it does not discriminate human beings across globe by economy, political system and socio-cultural backgrounds. This is a useful lesson for global solidarity and align efforts to contain post COVID-19 implications as well as to prevent and manage similar such pandemics in the future.

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Section: Improved Methods/technologies For Surveillance Identificatimentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evidence-Based Preparedness for Post COVID-19

Kitaw¹,

Kaba²

2021

Science-Based Approaches to Respond to COVID and Other Public Health Threats

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Coronavirus y atención primaria

Llor¹,

Moragas²

2020

Atención Primaria

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J o u r n a l P r e -p r o o f Los coronavirus pueden provocar cuadros clínicos que van desde el resfriado común hasta neumonías graves. El síndrome respiratorio agudo grave (SARS-CoV) y el síndrome respiratorio de Oriente Medio (MERS-CoV) son claros ejemplos. El SARS-CoV-2, que se detectó por primera vez en diciembre de 2019 en Wuhan, causa el covid-19 (enfermedad por coronavirus 2019).había mutado a una forma mucho más mortífera, golpeando principalmente a regiones que aún no habían sido expuestas. Juega en contra de una posible mutación el hecho de que los coronavirus, a diferencia del virus de la gripe, tienden a ser genéticamente bastante estables.No obstante, saber si el coronavirus desaparecerá, reaparecerá en oleadas o quedará como una enfermedad endémica sigue siendo una incógnita en estos momentos. Bibliografía

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A Machine Learning-Based Model for Epidemic Forecasting and Faster Drug Discovery

et al. 2022

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Today, healthcare system models should have high accuracy and sensitivity so that patients do not have a misdiagnosis. For this reason, sufficient knowledge of the area is required, with the medical staff being able to validate the correctness of their decisions. Therefore, artificial intelligence (AI) in combination with other emerging technologies could provide many benefits in the medical sector. In this paper, we demonstrate the combination of Internet of Things (IoT) and cloud computing (CC) with AI-related techniques such as artificial intelligence (AI), machine learning (ML), deep learning (DL), and neural networks (NN) in order to provide a useful approach for scientists and doctors. Our proposed model makes use of these immersive technologies so as to provide epidemic forecasting and help accelerate drug and antibiotic discovery.

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Uncomfortable Truths about Modern Epidemics: A Review of The Pandemic Century and Interview with Author Mark Honigsbaum

Cited by 3 publications

References 0 publications

Evidence-Based Preparedness for Post COVID-19

Evidence-Based Preparedness for Post COVID-19

Coronavirus y atención primaria

A Machine Learning-Based Model for Epidemic Forecasting and Faster Drug Discovery

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