"Epidemiological Monitoring" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Collection, analysis, and interpretation of data about the frequency, distribution, and consequences of disease or health conditions, for use in the planning, implementing, and evaluating public health programs.
- Epidemiologic Surveillance
- Epidemiologic Surveillances
- Surveillance, Epidemiologic
- Surveillances, Epidemiologic
Below are MeSH descriptors whose meaning is more general than "Epidemiological Monitoring".
Below are MeSH descriptors whose meaning is more specific than "Epidemiological Monitoring".
This graph shows the total number of publications written about "Epidemiological Monitoring" by people in this website by year, and whether "Epidemiological Monitoring" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
|Year||Major Topic||Minor Topic||Total|
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Below are the most recent publications written about "Epidemiological Monitoring" by people in Profiles.
Rotejanaprasert C, Lawson AB, Iamsirithaworn S. Spatiotemporal multi-disease transmission dynamic measure for emerging diseases: an application to dengue and zika integrated surveillance in Thailand. BMC Med Res Methodol. 2019 10 26; 19(1):200.
Chernetsky Tejedor S, Sharma J, Lavallee DC, Lober WB, Evans HL. Identification of Important Features in Mobile Health Applications for Surgical Site Infection Surveillance. Surg Infect (Larchmt). 2019 Oct; 20(7):530-534.
Sawyer RG, Evans HL, Hedrick TL. Technological Advances in Clinical Definition and Surveillance Methodology for Surgical Site Infection Incorporating Surgical Site Imaging and Patient-Generated Health Data. Surg Infect (Larchmt). 2019 Oct; 20(7):541-545.
Samareh A, Chang X, Lober WB, Evans HL, Wang Z, Qian X, Huang S. Artificial Intelligence Methods for Surgical Site Infection: Impacts on Detection, Monitoring, and Decision Making. Surg Infect (Larchmt). 2019 Oct; 20(7):546-554.
Lavallee DC, Lee JR, Semple JL, Lober WB, Evans HL. Engaging Patients in Co-Design of Mobile Health Tools for Surgical Site Infection Surveillance: Implications for Research and Implementation. Surg Infect (Larchmt). 2019 Oct; 20(7):535-540.
Lee JR, Evans HL, Lober WB, Lavallee DC. A Stakeholder-Driven Framework for Evaluating Surgical Site Infection Surveillance Technologies. Surg Infect (Larchmt). 2019 Oct; 20(7):588-591.
Evans HL. Executive Summary of the Assessing Surgical Site Infection Surveillance Technologies (ASSIST) Project. Surg Infect (Larchmt). 2019 Oct; 20(7):527-529.
Roth A, Tran N, Piecara B, Welles S, Shinefeld J, Brady K. Factors Associated with Awareness of Pre-exposure Prophylaxis for HIV Among Persons Who Inject Drugs in Philadelphia: National HIV Behavioral Surveillance, 2015. AIDS Behav. 2019 Jul; 23(7):1833-1840.
Lee EC, Asher JM, Goldlust S, Kraemer JD, Lawson AB, Bansal S. Mind the Scales: Harnessing Spatial Big Data for Infectious Disease Surveillance and Inference. J Infect Dis. 2016 12 01; 214(suppl_4):S409-S413.
Rotejanaprasert C, Lawson A, Bolick-Aldrich S, Hurley D. Spatial Bayesian surveillance for small area case event data. Stat Methods Med Res. 2016 08; 25(4):1101-17.