Global trends in antimicrobial resistance in animals in low- and middle-income countries

Boeckel, Thomas Van; Pires, João; Silvester, Reshma; Cheng, Zhao; Song, Jae–Hoon; Criscuolo, Nicola G.; Gilbert, Marius; Bonhoeffer, Sebastian; Laxminarayan, Ramanan

doi:10.1016/j.ijid.2020.09.086

Cited by 64 publications

(87 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This may occur alongside increasing risk to workers interacting with animal populations 10 as a result of work practices. Global increase in the demand for and resulting intensification of meat production will importantly drive these processes, and associated use of antibiotics in domestic animals has the potential to select for resistant strains of bacteria with potential to affect human health 11 .…”

Section: Pathogen Emergence Into Human Populationsmentioning

confidence: 99%

Infectious disease in an era of global change

et al. 2021

View full text Add to dashboard Cite

The twenty-first century has witnessed a wave of severe infectious disease outbreaks, not least the COVID-19 pandemic, which has had a devastating impact on lives and livelihoods around the globe. The 2003 severe acute respiratory syndrome coronavirus outbreak, the 2009 swine flu pandemic, the 2012 Middle East respiratory syndrome coronavirus outbreak, the 2013–2016 Ebola virus disease epidemic in West Africa and the 2015 Zika virus disease epidemic all resulted in substantial morbidity and mortality while spreading across borders to infect people in multiple countries. At the same time, the past few decades have ushered in an unprecedented era of technological, demographic and climatic change: airline flights have doubled since 2000, since 2007 more people live in urban areas than rural areas, population numbers continue to climb and climate change presents an escalating threat to society. In this Review, we consider the extent to which these recent global changes have increased the risk of infectious disease outbreaks, even as improved sanitation and access to health care have resulted in considerable progress worldwide.

show abstract

Section: Pathogen Emergence Into Human Populationsmentioning

confidence: 99%

Infectious disease in an era of global change

et al. 2021

View full text Add to dashboard Cite

show abstract

“…1). While there are many types of selective pressures, for the purpose of the current discussion, we will assume that the evolution of antibiotic resistance is driven primarily by the exposure to antibiotic drugs (van de Sande-Bruinsma, et al, 2008). Nevertheless, indirect factors such as GDP (Growth Domestic Product) per capita, public healthcare spending, an aging population, increase in travel or poor governance can be strongly correlated with resistance (Collignon, et al, 2018).…”

Section: Population Level Analysis I Emergence and Transmission Of Antibiotic Resistancementioning

confidence: 99%

“…(ii) Which selective pressures drive the evolution of antibiotic resistance? It is probably safe to say that exposure to antibiotics is the main driver, considering biological first principles and the fact that higher volume of antibiotic use correlates relatively well with frequency of resistance (van de Sande-Bruinsma, et al, 2008). However, that does not exclude possible roles for additional factors, such as heavy metals and other biocides, either by co-selection between biocide and antibiotic resistance genes (i.e.…”

Section: Population Level Analysis I Emergence and Transmission Of Antibiotic Resistancementioning

confidence: 99%

Anodic molecular hydrogen formation on Ru and Cu electrodes

Scott

Engstfeld

Jusys

et al. 2020

Catal. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…Ours are the first burden estimates for yellow fever that take into account structurally distinct regression models and do so based on performance in cross-validation, although Gaythorpe et al have recently developed ensembles composed of models that differ with respect to assumptions about transmission route (18) and sets of spatial covariates (12). Our work adds to a growing set of studies that demonstrate the benefits of ensemble modeling for geographically stratified estimates of disease burden (26)(27)(28)(29)(30), in addition to other applications in infectious disease epidemiology (31)(32)(33)(34).…”

Section: Discussionmentioning

confidence: 95%

Burden is in the eye of the beholder: Sensitivity of yellow fever disease burden estimates to modeling assumptions

et al. 2021

View full text Add to dashboard Cite

Estimates of disease burden are important for setting public health priorities. These estimates involve numerous modeling assumptions, whose uncertainties are not always well described. We developed a framework for estimating the burden of yellow fever in Africa and evaluated its sensitivity to modeling assumptions that are often overlooked. We found that alternative interpretations of serological data resulted in a nearly 20-fold difference in burden estimates (range of central estimates, 8.4 × 10 4 to 1.5 × 10 6 deaths in 2021-2030). Uncertainty about the vaccination status of serological study participants was the primary driver of this uncertainty. Even so, statistical uncertainty was even greater than uncertainty due to modeling assumptions, accounting for a total of 87% of variance in burden estimates. Combined with estimates that most infections go unreported (range of 95% credible intervals, 99.65 to 99.99%), our results suggest that yellow fever's burden will remain highly uncertain without major improvements in surveillance.

show abstract

Global trends in antimicrobial resistance in animals in low- and middle-income countries

Cited by 64 publications

References 0 publications

Infectious disease in an era of global change

Infectious disease in an era of global change

Anodic molecular hydrogen formation on Ru and Cu electrodes

Burden is in the eye of the beholder: Sensitivity of yellow fever disease burden estimates to modeling assumptions

Contact Info

Product

Resources

About