Public health and pipe breaks in water distribution systems: Analysis with internet search volume as a proxy

Water Research

Volumn 53, Issue , 2014, Pages 26-34

  Shortridge, Julie E ^a   Guikema, Seth D ^a  

^a JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

Distribution network; Gastrointestinal illness; Non linear regression; Pipe breaks

Indexed keywords

DATA MINING; DECISION TREES; DISEASES; ELECTRIC POWER DISTRIBUTION; HEALTH RISKS; INFORMATION RETRIEVAL; POTABLE WATER; PUBLIC HEALTH; PUBLIC RISKS; REGRESSION ANALYSIS; SEARCH ENGINES; SYSTEMS ENGINEERING; WATER DISTRIBUTION SYSTEMS;

DISTRIBUTION SYSTEMS; DRINKING WATER DISTRIBUTION; GASTROINTESTINAL ILLNESS; MULTIPLE REGRESSIONS; NON-LINEAR REGRESSION; PIPE BREAK; REGRESSION TREE MODELS; WATER-BORNE DISEASE;

PIPE;

DRINKING WATER;

ACCURACY ASSESSMENT; DATA SET; DIARRHEAL DISEASE; DRINKING WATER; NONLINEARITY; POPULATION OUTBREAK; PUBLIC HEALTH; RISK FACTOR; VOLUME; WATERBORNE DISEASE;

ACCURACY; ARTICLE; CUSTODY; DATA MINING; DIARRHEA; HEALTH HAZARD; HUMAN; INTERNET; PRECIPITATION; PRIORITY JOURNAL; RANDOM FOREST; RESPONSE VARIABLE; SOIL POLLUTION; TEMPERATURE; TUBE; VOMITING; WATER ANALYSIS; WATER CONTAMINATION; WATER SUPPLY;

UNITED STATES;

DISTRIBUTION NETWORK; GASTROINTESTINAL ILLNESS; NON-LINEAR REGRESSION; PIPE BREAKS;

CITIES; DATA MINING; DRINKING WATER; GASTROINTESTINAL DISEASES; HUMANS; INTERNET; MODELS, THEORETICAL; PUBLIC HEALTH; UNITED STATES; WATER PURIFICATION; WATER SUPPLY;

EID: 84893356067     PISSN: 00431354     EISSN: 18792448     Source Type: Journal    
DOI: 10.1016/j.watres.2014.01.013     Document Type: Article

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