Evaluation and Verification of the Global Rapid Identification of Threats System for Infectious Diseases in Textual Data Sources

Huff, Andy; Breit, Nathan; Allen, Talli; Whiting, Karissa; Kiley, Christopher

doi:10.1155/2016/5080746

Cited by 8 publications

(4 citation statements)

References 13 publications

(17 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We also included whether English language was spoken in the country because our database is based on English language publications. Similar approaches of accounting for reporting bias have been used for a variety of global-scale disease detection studies [34][35][36].…”

Section: Methods (A) Data and Variable Selectionmentioning

confidence: 99%

Global patterns and correlates in the emergence of antimicrobial resistance in humans

Mendelsohn,

Ross,

Zambrana-Torrelio

et al. 2023

Proc. R. Soc. B.

View full text Add to dashboard Cite

Antimicrobial resistance (AMR) is a critical global health threat, and drivers of the emergence of novel strains of antibiotic-resistant bacteria in humans are poorly understood at the global scale. We examined correlates of AMR emergence in humans using global data on the origins of novel strains of AMR bacteria from 2006 to 2017, human and livestock antibiotic use, country economic activity and reporting bias indicators. We found that AMR emergence is positively correlated with antibiotic consumption in humans. However, the relationship between AMR emergence and antibiotic consumption in livestock is modified by gross domestic product (GDP), with only higher GDP countries showing a slight positive association, a finding that differs from previous studies on the drivers of AMR prevalence. We also found that human travel may play a role in AMR emergence, likely driving the spread of novel AMR strains into countries where they are subsequently detected for the first time. Finally, we used our model to generate a country-level map of the global distribution of predicted AMR emergence risk, and compared these findings against reported AMR emergence to identify gaps in surveillance that can be used to direct prevention and intervention policies.

show abstract

Section: Methods (A) Data and Variable Selectionmentioning

confidence: 99%

Global patterns and correlates in the emergence of antimicrobial resistance in humans

Mendelsohn,

Ross,

Zambrana-Torrelio

et al. 2023

Proc. R. Soc. B.

View full text Add to dashboard Cite

show abstract

“…In addition, we included five variables representing reporting bias: population, GDP, English language spoken, ProMED mentions, and publication bias index. The publication bias index is based on total biomedical publications originating from or referring to geographic regions, (Allen et al 2017), an approach used for a variety of global-scale disease detection studies (Huff et al 2016; Olival et al 2017; Carlson et al 2022).…”

Section: Methodsmentioning

confidence: 99%

Global patterns and correlates in the emergence of antimicrobial resistance in humans

Mendelsohn

Ross

Zambrana‐Torrelio

et al. 2022

Preprint

View full text Add to dashboard Cite

Antimicrobial resistance (AMR) is a critical global health threat, and drivers of the emergence of novel strains of antibiotic-resistant bacteria in humans are poorly understood at the global scale. We examined correlates of AMR emergence in humans using global data on the origins of novel strains of AMR bacteria from 2006 to 2017, human and livestock antibiotic use, country economic activity, and reporting bias indicators. We found that AMR emergence is positively correlated with antibiotic consumption in humans, whereas the relationship with antibiotic consumption in livestock is modified by gross domestic product (GDP), with only higher GDP countries showing a slight positive association. We also found that human travel may play a role in AMR emergence, likely driving the spread of novel AMR strains into countries where they are subsequently detected for the first time. Finally, we produced predictive models and country-level maps of the global distribution of AMR risk. We assessed these against spatial patterns of reported AMR emergence, to identify gaps in surveillance that can be used to direct prevention and intervention policies.

show abstract

“…Another similar system was the Identification Tool System (GRITS) [29]. The architecture was based on the term frequency-inverse document frequency (TF-IDF) method, pattern-matching tools, and a binary classifier to predict the presence of an epidemic event (disease name) in the text.…”

Section: Related Workmentioning

confidence: 99%

Assessing the impact of OCR noise on multilingual event detection over digitised documents

et al. 2022

View full text Add to dashboard Cite

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

show abstract

Evaluation and Verification of the Global Rapid Identification of Threats System for Infectious Diseases in Textual Data Sources

Cited by 8 publications

References 13 publications

Global patterns and correlates in the emergence of antimicrobial resistance in humans

Global patterns and correlates in the emergence of antimicrobial resistance in humans

Global patterns and correlates in the emergence of antimicrobial resistance in humans

Assessing the impact of OCR noise on multilingual event detection over digitised documents

Contact Info

Product

Resources

About