 Epidemiologic Studies
"Epidemiologic Studies" 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.
Studies designed to examine associations, commonly, hypothesized causal relations. They are usually concerned with identifying or measuring the effects of risk factors or exposures. The common types of analytic study are CASE-CONTROL STUDIES; COHORT STUDIES; and CROSS-SECTIONAL STUDIES.
| Descriptor ID |
D016021
|
| MeSH Number(s) |
E05.318.760.500 N05.715.360.775.175 N06.850.520.450.500
|
| Concept/Terms |
Epidemiologic Studies- Epidemiologic Studies
- Epidemiological Studies
- Epidemiological Study
- Studies, Epidemiological
- Study, Epidemiological
- Studies, Epidemiologic
- Epidemiologic Study
- Study, Epidemiologic
|
Below are MeSH descriptors whose meaning is more general than "Epidemiologic Studies".
Below are MeSH descriptors whose meaning is more specific than "Epidemiologic Studies".
This graph shows the total number of publications written about "Epidemiologic Studies" by people in this website by year, and whether "Epidemiologic Studies" 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 |
|---|
| 1999 | 0 | 1 | 1 | | 2001 | 1 | 1 | 2 | | 2002 | 0 | 2 | 2 | | 2003 | 0 | 3 | 3 | | 2004 | 1 | 3 | 4 | | 2005 | 0 | 2 | 2 | | 2006 | 0 | 1 | 1 | | 2007 | 1 | 2 | 3 | | 2008 | 0 | 2 | 2 | | 2009 | 0 | 1 | 1 | | 2010 | 1 | 2 | 3 | | 2011 | 1 | 1 | 2 | | 2012 | 0 | 2 | 2 | | 2013 | 0 | 1 | 1 | | 2014 | 0 | 2 | 2 | | 2015 | 2 | 3 | 5 | | 2016 | 0 | 3 | 3 | | 2017 | 1 | 1 | 2 | | 2018 | 0 | 2 | 2 | | 2019 | 1 | 1 | 2 | | 2020 | 0 | 1 | 1 | | 2021 | 0 | 1 | 1 | | 2022 | 1 | 2 | 3 | | 2024 | 0 | 2 | 2 |
To return to the timeline, click here.
Below are the most recent publications written about "Epidemiologic Studies" by people in Profiles.
-
Glabonjat RA, Schilling K, Slavkovich VN, Izuchukwu CN, Balac O, Dubey S, Nandakumar R, Galvez-Fernandez M, Anderson WA, Spaur MS, Sobel MH, Nigra AE, Sanchez TR, Jones MR, Navas-Acien A. Arsenic speciation analysis in human urine for long term epidemiological studies: The Multi-Ethnic Study of Atherosclerosis (MESA). Environ Res. 2024 Dec 01; 262(Pt 1):119833.
-
Schilling K, Glabonjat RA, Balac O, G?lvez-Fern?ndez M, Domingo-Relloso A, Slavkovich V, Goldsmith J, Jones MR, Sanchez TR, Navas-Acien A. Method validation for (ultra)-trace element concentrations in urine for small sample volumes in large epidemiological studies: application to the population-based epidemiological multi-ethnic study of atherosclerosis (MESA). Anal Methods. 2024 01 04; 16(2):214-226.
-
Soskolne CL, Bero LA, Kramer S, Gochfeld M, Ramos-Bonilla JP, Sass J, Cranor CF, Advani S, Mandrioli D. Response to Toshihide Tsuda, Yumiko Miyano and Eiji Yamamoto [1]. Environ Health. 2022 10 26; 21(1):100.
-
Johnson AJ, Mueller NT. Can data-driven approaches for dietary pattern assessment improve microbiome epidemiology research? Am J Clin Nutr. 2022 02 09; 115(2):329-331.
-
Innes GK, Bhondoekhan F, Lau B, Gross AL, Ng DK, Abraham AG. The Measurement Error Elephant in the Room: Challenges and Solutions to Measurement Error in Epidemiology. Epidemiol Rev. 2022 01 14; 43(1):94-105.
-
Vanderlinden LA, Johnson RK, Carry PM, Dong F, DeMeo DL, Yang IV, Norris JM, Kechris K. An effective processing pipeline for harmonizing DNA methylation data from Illumina's 450K and EPIC platforms for epidemiological studies. BMC Res Notes. 2021 Sep 08; 14(1):352.
-
Hess JJ, Ranadive N, Boyer C, Aleksandrowicz L, Anenberg SC, Aunan K, Belesova K, Bell ML, Bickersteth S, Bowen K, Burden M, Campbell-Lendrum D, Carlton E, Ciss? G, Cohen F, Dai H, Dangour AD, Dasgupta P, Frumkin H, Gong P, Gould RJ, Haines A, Hales S, Hamilton I, Hasegawa T, Hashizume M, Honda Y, Horton DE, Karambelas A, Kim H, Kim SE, Kinney PL, Kone I, Knowlton K, Lelieveld J, Limaye VS, Liu Q, Madaniyazi L, Martinez ME, Mauzerall DL, Milner J, Neville T, Nieuwenhuijsen M, Pachauri S, Perera F, Pineo H, Remais JV, Saari RK, Sampedro J, Scheelbeek P, Schwartz J, Shindell D, Shyamsundar P, Taylor TJ, Tonne C, Van Vuuren D, Wang C, Watts N, West JJ, Wilkinson P, Wood SA, Woodcock J, Woodward A, Xie Y, Zhang Y, Ebi KL. Guidelines for Modeling and Reporting Health Effects of Climate Change Mitigation Actions. Environ Health Perspect. 2020 11; 128(11):115001.
-
Buonocore JJ, Casey JA, Croy R, Spengler JD, McKenzie L. Air Monitoring Stations Far Removed from Drilling Activities do not Represent Residential Exposures to Marcellus Shale Air Pollutants. Response to the Paper by Hess et al. on Proximity-Based Unconventional Natural Gas Exposure Metrics. Int J Environ Res Public Health. 2020 01 13; 17(2).
-
Pendergrass SA, Buyske S, Jeff JM, Frase A, Dudek S, Bradford Y, Ambite JL, Avery CL, Buzkova P, Deelman E, Fesinmeyer MD, Haiman C, Heiss G, Hindorff LA, Hsu CN, Jackson RD, Lin Y, Le Marchand L, Matise TC, Monroe KR, Moreland L, North KE, Park SL, Reiner A, Wallace R, Wilkens LR, Kooperberg C, Ritchie MD, Crawford DC. A phenome-wide association study (PheWAS) in the Population Architecture using Genomics and Epidemiology (PAGE) study reveals potential pleiotropy in African Americans. PLoS One. 2019; 14(12):e0226771.
-
Farkhondeh T, Afshari R, Mehrpour O, Samarghandian S. Mercury and Atherosclerosis: Cell Biology, Pathophysiology, and Epidemiological Studies. Biol Trace Elem Res. 2020 Jul; 196(1):27-36.
|
People  People who have written about this concept. _
Similar Concepts
People who have written about this concept.
_
Top Journals
Top journals in which articles about this concept have been published.
|