Evidence map›Paper›PMID 34248309›Full record

ArticleSankhya. Series A. (2008)2022

Scalable Estimation of Epidemic Thresholds via Node Sampling.

Anirban Dasgupta, Srijan Sengupta

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sankhya. Series A. (2008), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Anirban DasguptaComputer Science and Engineering, Indian Institute of Technology, Gandhinagar, Gandhinagar, India.
Srijan SenguptaStatistics, North Carolina State University, Raleigh, NC USA.ORCID 0000-0001-6889-8599

Funding

Collaborative Research: Statistical Algorithms for Anomaly Detection and Patterns Recognition in Patient Care and Safety Event ReportsR01LM013309 · NLM · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI FONG, ALLAN, SENGUPTA, SRIJAN · 2019 to 2021
$897k
NLM NIH HHS R01 LM013309
6 · The paper itself

Abstract

Infectious or contagious diseases can be transmitted from one person to another through social contact networks. In today's interconnected global society, such contagion processes can cause global public health hazards, as exemplified by the ongoing Covid-19 pandemic. It is therefore of great practical relevance to investigate the network transmission of contagious diseases from the perspective of statistical inference. An important and widely studied boundary condition for contagion processes over networks is the so-called

Indexed as

Configuration modelEpidemic thresholdEpidemiology.NetworksRandom walkSampling

Identifiers

PMID34248309
PMCPMC8260572

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.