ELIZA

return kwic search for risk out of >500 occurrences
421954 occurrences (No.40 in the rank) during 5 years in the PubMed. [cache]

13) A Bayesian mixed-effects spatial model was developed to assess the association between the risk of FMD occurrence and distance to main roads, railway lines, wildlife parks, international borders and cattle density.

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PMID:23621861 DOI:10.1111/tbed.12087

2015 Transboundary and emerging diseases

* Risk factors for foot-and-mouth disease in Tanzania, 2001-2006.

- We developed a model to quantify the effect of factors influencing the spatio-temporal distribution of foot-and-mouth disease (FMD) in Tanzania. The land area of Tanzania was divided into a regular grid of 20 km × 20 km cells and separate grids constructed for each of the 12-month periods between 2001 and 2006. For each year, a cell was classified as either FMD positive or negative dependent on an outbreak being recorded in any settlement within the cell boundaries. A Bayesian mixed-effects spatial model was developed to assess the association between the risk of FMD occurrence and distance to main roads, railway lines, wildlife parks, international borders and cattle density. Increases in the distance to main roads decreased the risk of FMD every year from 2001 to 2006 (ORs ranged from 0.43 to 0.97). Increases in the distance to railway lines and international borders were, in general, associated with a decreased risk of FMD (ORs ranged from 0.85 to 0.99). Increases in the distance from a national park decreased the risk of FMD in 2001 (OR 0.80; 95% CI 0.68-0.93) but had the opposite effect in 2004 (OR 1.06; 95% CI 1.01-1.12). Cattle population density was, in general, positively associated with the risk of FMD (ORs ranged from 1.01 to 1.30). The spatial distribution of high-risk areas was variable and corresponded to endemic (2001, 2002 and 2005) and epidemic (2003, 2004 and 2006) phases. Roads played a dominant role in both epidemiological situations; we hypothesize that roads are the main driver of FMD expansion in Tanzania. Our results suggest that FMD occurrence in Tanzania is more related to animal movement and human activity via communication networks than transboundary movements or contact with wildlife.

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[frequency of next (right) word to risk]

(1)138 of	(9)9 in	(17)4 factors,	(25)2 managers
(2)72 factors	(10)7 group	(18)4 stratification	(26)2 mortality
(3)40 for	(11)6 ratio	(19)4 was	(27)2 perception
(4)24 factor	(12)5 behavior	(20)3 groups	(28)2 rates
(5)23 and	(13)5 is	(21)3 infants	(29)2 the
(6)16 null	(14)5 patients	(22)2 among
(7)13 assessment	(15)5 to	(23)2 during
(8)10 score	(16)4 areas	(24)2 estimators

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--- WordNet output for risk --- =>1.損害の恐れ, 危険, 冒険, リスク, 2.危険にさらす, 3.敢えてする, 被保険者, 被保険物, 危険にさらす, 賭けてみる Overview of noun risk The noun risk has 4 senses (first 2 from tagged texts) 1. (4) hazard, jeopardy, peril, risk, endangerment -- (a source of danger; a possibility of incurring loss or misfortune; "drinking alcohol is a health hazard") 2. (2) risk, peril, danger -- (a venture undertaken without regard to possible loss or injury; "he saw the rewards but not the risks of crime"; "there was a danger he would do the wrong thing") 3. risk, risk of infection -- (the probability of becoming infected given that exposure to an infectious agent has occurred) 4. risk, risk of exposure -- (the probability of being exposed to an infectious agent) Overview of verb risk The verb risk has 2 senses (first 2 from tagged texts) 1. (8) risk, put on the line, lay on the line -- (expose to a chance of loss or damage; "We risked losing a lot of money in this venture"; "Why risk your life?"; "She laid her job on the line when she told the boss that he was wrong") 2. (2) gamble, chance, risk, hazard, take chances, adventure, run a risk, take a chance -- (take a risk in the hope of a favorable outcome; "When you buy these stocks you are gambling") --- WordNet end ---