Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies: a response

A Trickey; A Sood; V Midha; W Thompson; C Vellozzi; S Shadaker; V Surlikar; S Kanchi; P Vickerman; M T May; F Averhoff

doi:10.1017/S0950268819002243

Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies: a response

A Trickey, A Sood, V Midha, W Thompson, C Vellozzi, S Shadaker, V Surlikar, S Kanchi, P Vickerman, M T May, F Averhoff

Research output: Contribution to journal › Article (Academic Journal) › peer-review

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Original language	English
Pages (from-to)	e3
Journal	Epidemiology and Infection
Volume	148
DOIs	https://doi.org/10.1017/S0950268819002243
Publication status	Published - 10 Jan 2020

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Trickey, A., Sood, A., Midha, V., Thompson, W., Vellozzi, C., Shadaker, S., Surlikar, V., Kanchi, S., Vickerman, P., May, M. T., & Averhoff, F. (2020). Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies: a response. Epidemiology and Infection, 148, e3. https://doi.org/10.1017/S0950268819002243

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title = "Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies: a response",

author = "A Trickey and A Sood and V Midha and W Thompson and C Vellozzi and S Shadaker and V Surlikar and S Kanchi and P Vickerman and May, {M T} and F Averhoff",

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Trickey, A, Sood, A, Midha, V, Thompson, W, Vellozzi, C, Shadaker, S, Surlikar, V, Kanchi, S, Vickerman, P, May, MT & Averhoff, F 2020, 'Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies: a response', Epidemiology and Infection, vol. 148, pp. e3. https://doi.org/10.1017/S0950268819002243

TY - JOUR

T1 - Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies

T2 - a response

AU - Trickey, A

AU - Sood, A

AU - Midha, V

AU - Thompson, W

AU - Vellozzi, C

AU - Shadaker, S

AU - Surlikar, V

AU - Kanchi, S

AU - Vickerman, P

AU - May, M T

AU - Averhoff, F

PY - 2020/1/10

Y1 - 2020/1/10

U2 - 10.1017/S0950268819002243

DO - 10.1017/S0950268819002243

M3 - Article (Academic Journal)

C2 - 31918778

VL - 148

SP - e3

JO - Epidemiology and Infection

JF - Epidemiology and Infection

SN - 0950-2688

ER -