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1.
Lancet ; 395(10227): 871-877, 2020 03 14.
Article in English | MEDLINE | ID: covidwho-2076860

ABSTRACT

BACKGROUND: The novel coronavirus disease 2019 (COVID-19) epidemic has spread from China to 25 countries. Local cycles of transmission have already occurred in 12 countries after case importation. In Africa, Egypt has so far confirmed one case. The management and control of COVID-19 importations heavily rely on a country's health capacity. Here we evaluate the preparedness and vulnerability of African countries against their risk of importation of COVID-19. METHODS: We used data on the volume of air travel departing from airports in the infected provinces in China and directed to Africa to estimate the risk of importation per country. We determined the country's capacity to detect and respond to cases with two indicators: preparedness, using the WHO International Health Regulations Monitoring and Evaluation Framework; and vulnerability, using the Infectious Disease Vulnerability Index. Countries were clustered according to the Chinese regions contributing most to their risk. FINDINGS: Countries with the highest importation risk (ie, Egypt, Algeria, and South Africa) have moderate to high capacity to respond to outbreaks. Countries at moderate risk (ie, Nigeria, Ethiopia, Sudan, Angola, Tanzania, Ghana, and Kenya) have variable capacity and high vulnerability. We identified three clusters of countries that share the same exposure to the risk originating from the provinces of Guangdong, Fujian, and the city of Beijing, respectively. INTERPRETATION: Many countries in Africa are stepping up their preparedness to detect and cope with COVID-19 importations. Resources, intensified surveillance, and capacity building should be urgently prioritised in countries with moderate risk that might be ill-prepared to detect imported cases and to limit onward transmission. FUNDING: EU Framework Programme for Research and Innovation Horizon 2020, Agence Nationale de la Recherche.


Subject(s)
Civil Defense , Coronavirus Infections , Epidemics/prevention & control , Health Resources , Models, Theoretical , Pneumonia, Viral , Population Surveillance , Vulnerable Populations , Africa/epidemiology , COVID-19 , China/epidemiology , Coronavirus Infections/epidemiology , Coronavirus Infections/prevention & control , Coronavirus Infections/transmission , Health Planning , Humans , Pneumonia, Viral/epidemiology , Pneumonia, Viral/prevention & control , Pneumonia, Viral/transmission , Risk Assessment , Travel
3.
Therapie ; 77(1): 59-67, 2022.
Article in English | MEDLINE | ID: covidwho-1569090

ABSTRACT

The COVID-19 pandemic led to the deployment of an unprecedented academic and industrial research effort, the sometimes redundant nature of which is regrettable, as is the lack of both national and international management. However, it must be noted that during this crisis, regulatory procedures were adapted and certain obstacles in the organisation of clinical research were partly removed to contribute to the deployment of trials as close as possible to patients and to facilitate monitoring and control procedures. The digitisation of certain processes and the decentralisation of certain activities were implemented under the cover of a mobilisation of the authorities and all institutional, academic and industrial players. While in the UK, the optimisation of resources through a single platform trial has made it possible to demonstrate or invalidate the efficacy of many treatments, in France the health crisis has highlighted the fragility of the organisation of clinical research, in particular a lack of coordination and funding, difficulties in implementing studies and a certain reluctance to share data. However, the crisis has also revealed the adaptability of the various stakeholders and has led to the improvement of several processes useful for the deployment of therapeutic innovation. Let us hope that the lessons learned during this crisis will allow for greater efficiency in the event of a new pandemic and, above all, that the progress made will continue to apply to all future clinical research activities.


Subject(s)
COVID-19 Drug Treatment , COVID-19 , Pandemics , Biomedical Research , COVID-19/epidemiology , Clinical Trials as Topic , France/epidemiology , Humans , Pharmaceutical Preparations , United Kingdom/epidemiology
4.
Therapie ; 2021.
Article in French | EuropePMC | ID: covidwho-1564057

ABSTRACT

La pandémie de coronavirus disease -19 (COVID-19) a conduit au déploiement d’un effort de recherche académique et industriel sans précédent dont on peut regretter le caractère parfois redondant ainsi que le manque de pilotage tant national qu’international. Pourtant, force est de constater qu’à l’occasion de cette crise, les procédures réglementaires ont été adaptées de même que certains freins dans l’organisation de la recherche clinique ont pu être en partie levés pour contribuer au déploiement d’essais au plus près des patients et faciliter les modalités de suivi et de contrôle. La digitalisation de certains processus et la décentralisation de certaines activités ont pu être mises en œuvre sous couvert d’une mobilisation des autorités et de l’ensemble des acteurs institutionnels, académiques ou industriels. Si outre-manche, l’optimisation des ressources, au travers d’un essai de plateforme unique, a permis de montrer ou d’infirmer l’efficacité de nombreux traitements, en France la crise sanitaire a mis en lumière la fragilité de l’organisation de la recherche clinique, notamment un déficit de coordination et de financement, des difficultés dans la mise en œuvre des études ou encore une certaine frilosité concernant le partage des données. Cependant, la crise a aussi révélé les capacités d’adaptation des différents acteurs et permis l’amélioration de plusieurs processus utiles au déploiement de l’innovation thérapeutique. Gageons que les leçons tirées à l’occasion de cette crise permettront une meilleure efficacité en cas de nouvelle pandémie et surtout que les progrès obtenus continueront de s’appliquer à l’ensemble des activités de recherche clinique futures.

5.
Ann Intern Med ; 174(2): 283-284, 2021 02.
Article in English | MEDLINE | ID: covidwho-1553980
8.
PLoS Negl Trop Dis ; 14(8): e0008251, 2020 08.
Article in English | MEDLINE | ID: covidwho-788854

ABSTRACT

Yersinia pestis, the bacterial causative agent of plague, remains an important threat to human health. Plague is a rodent-borne disease that has historically shown an outstanding ability to colonize and persist across different species, habitats, and environments while provoking sporadic cases, outbreaks, and deadly global epidemics among humans. Between September and November 2017, an outbreak of urban pneumonic plague was declared in Madagascar, which refocused the attention of the scientific community on this ancient human scourge. Given recent trends and plague's resilience to control in the wild, its high fatality rate in humans without early treatment, and its capacity to disrupt social and healthcare systems, human plague should be considered as a neglected threat. A workshop was held in Paris in July 2018 to review current knowledge about plague and to identify the scientific research priorities to eradicate plague as a human threat. It was concluded that an urgent commitment is needed to develop and fund a strong research agenda aiming to fill the current knowledge gaps structured around 4 main axes: (i) an improved understanding of the ecological interactions among the reservoir, vector, pathogen, and environment; (ii) human and societal responses; (iii) improved diagnostic tools and case management; and (iv) vaccine development. These axes should be cross-cutting, translational, and focused on delivering context-specific strategies. Results of this research should feed a global control and prevention strategy within a "One Health" approach.


Subject(s)
Neglected Diseases/prevention & control , Plague/prevention & control , Yersinia pestis , Animals , Disease Outbreaks/prevention & control , Disease Reservoirs/microbiology , Humans , Insect Vectors , Madagascar/epidemiology , Neglected Diseases/epidemiology , Plague/epidemiology , Plague/transmission , Rodentia , Siphonaptera
9.
Nature Machine Intelligence ; 2(6):293-294, 2020.
Article | Web of Science | ID: covidwho-786671

ABSTRACT

The COVID-19 pandemic poses a historical challenge to society. The profusion of data requires machine learning to improve and accelerate COVID-19 diagnosis, prognosis and treatment. However, a global and open approach is necessary to avoid pitfalls in these applications.

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