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A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection

arXiv (Cornell University)(2023)10.1145/3580305.3599763Source: DataRank Database

A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection is a research paper published in arXiv (Cornell University) (2023). On theSindex it has a DataRank of 0. It has been cited 5 times.

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A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection · arXiv

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (16 grants)Impact (FWCI 4.69)OA: goldTopics (28)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, OpenAlex)SDGs (1)

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Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

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Reusable (0/3)

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Authors (7)

Chen Chen ORCID,Anil Vullikanti ORCID,Ritwick Mishra ORCID,Gregory R. Madden ORCID,Daniel Borrajo ORCID

Live enrichment

PubMed:30945415 OpenAlex:https://openalex.org/W4384816610

Commonwealth Cyber Initiative awards

Grant: VV-1Q23-007, HV-2Q23-003

National Institutes of Health

Grant: 2R01GM109718-07

Detection and characterization of critical under-immunized hotspots

CDC MIND cooperative agreement

Grant: U01CK000589

National Center for Advancing Translational Sciences of the National Institutes of Health

Grant: UL1TR003015, KL2TR003016

Jefferson Lab subcontract

Grant: 23-D0163

National Science Foundation

Grant: IIS-1955797, IIS-2006844, IIS-2144209, IIS-2223769, CNS-2154962, BCS-2228534, CCF-1918656

National Science Foundation

Grant: 2223769

Collaborative Research: III: Small: Graph-Oriented Usable Interpretation

National Science Foundation

Grant: 2006844

III: Small: Collaborative Research: Demystifying Deep Learning on Graphs: From Basic Operations to Applications

National Science Foundation

Grant: 2228534

Collaborative Research: SAI-R: Dynamical Coupling of Physical and Social Infrastructures: Evaluating the Impacts of Social Capital on Access to Safe Well Water

National Institutes of Health

Grant: 1KL2TR003016-01

Institutional Career Development Core

National Institutes of Health

Grant: 3UL1TR003015-03S1

The integrated Translational Health Research Institute of Virginia (iTHRIV): Using Data to Improve Health

National Science Foundation

Grant: 1918656

Expeditions: Collaborative Research: Global Pervasive Computational Epidemiology

National Institutes of Health

Grant: 5U01CK000589-03

In silico Randomized Control Trial Framework for Assessing Infection Control and Prevention Interventions in the Hospital

National Science Foundation

Grant: 2144209

CAREER: Toward A Knowledge-Guided Framework for Personalized Decision Making

National Science Foundation

Grant: 1955797

III: Medium: Collaborative Research: Detecting and Controlling Network-based Spread of Hospital Acquired Infections

National Science Foundation

Grant: 2154962

SaTC: CORE: Small: Empowering Network Attack Detection with Complex Graph Modeling

FWCI

4.69

Citation Percentile

1.0%

Citation Trend

2024

2025

goldLicense: cc-by

https://dl.acm.org/doi/pdf/10.1145/3580305.3599763

publisherhttps://dl.acm.org/doi/10.1145/3580305.3599763

http://dx.doi.org/10.1145/3580305.3599763

repositoryhttp://arxiv.org/abs/2307.08237

Fields of Study

Advanced Causal Inference TechniquesStatistical Methods and InferenceStatistical Methods and Bayesian Inference0301 basic medicine03 medical and health sciences0101 mathematics01 natural sciences

Keywords

Observational studyConfoundingCausal inferenceComputer scienceCounterfactual conditionalCausal modelGraphMechanism (biology)Theoretical computer scienceMachine learningMedicineEconometricsCounterfactual thinkingStatisticsMathematicsPsychologyFOS: Computer and information sciencesComputer Science - Machine LearningStatistics - Machine LearningMachine Learning (stat.ML)Machine Learning (cs.LG)

Sustainable Development Goals

SDG 0: Good health and well-being

A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection

10.48550/arxiv.2307.08237arXiv