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Computational Model to Quantify the Growth of Antibiotic Resistant Bacteria in Wastewater

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.10.09.333575Source: DataRank Database

Computational Model to Quantify the Growth of Antibiotic Resistant Bacteria in Wastewater is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2020). On theSindex it has a DataRank of 0. It has been cited 4 times.

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0DataRank · unranked

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Open Access4 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)OA: greenTopics (26)IDs (PubMed, OpenAlex)SDGs (4)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (8)

Carly Ching ORCID,Darash Desai ORCID,Mark P. Suprenant ORCID,Emma Briars ORCID,Zachary Heins ORCID

Live enrichment

PubMed:19910364 OpenAlex:https://openalex.org/W3092422577

National Institutes of Health

Grant: 2T32EB006359-13

Translational Research in Biomaterials

National Institutes of Health

Grant: 1DP2AI131083-01

Combatting antibiotic resistance with synthetic biology technologies

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2021/03/24/2020.10.09.333575.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2020.10.09.333575

repositoryhttps://doi.org/10.1101/2020.10.09.333575

https://europepmc.org/articles/pmc8579810?pdf=render

Fields of Study

Pharmaceutical and Antibiotic Environmental ImpactsAntibiotic Resistance in BacteriaAntibiotics Pharmacokinetics and Efficacy0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Antibiotic resistanceAntibioticsSanitationBiologyOutbreakPopulationWastewaterInfectious disease (medical specialty)BiotechnologyGeneticsDiseaseEnvironmental healthEnvironmental scienceMedicineEnvironmental engineeringVirologymathematical modelingMicrobiologyQR1-502Research Article

Sustainable Development Goals

SDG 3: 3. Good healthSDG 6: 6. Clean waterSDG 13: 13. Climate actionSDG 0: Clean water and sanitation