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1. Full Text Monitoring Influenza Epidemics in China with Search Query from Baidu
by Yuan, Qingyu and Nsoesie, Elaine O and Lv, Benfu and Peng, Geng and Chunara, Rumi and Brownstein, John S
PLoS ONE, ISSN 1932-6203, 05/2013, Volume 8, Issue 5, p. e64323
Several approaches have been proposed for near real-time detection and prediction of the spread of influenza. These include search query data for influenza... 
MEDIA | MULTIDISCIPLINARY SCIENCES | Epidemics | Usage | Analysis | Influenza | Online searching | Forecasts and trends | Internet/Web search services | Database searching | Studies | Queries | Pandemics | Filtration | Data search | Search engines | Emergency medical care | Mathematical models | Web sites
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2. Full Text Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance
by Santillana, Mauricio and Nguyen, André T and Dredze, Mark and Paul, Michael J and Nsoesie, Elaine O and Brownstein, John S
PLoS Computational Biology, ISSN 1553-734X, 2015, Volume 11, Issue 10, p. e1004513
We present a machine learning-based methodology capable of providing real-time ("now-cast") and forecast estimates of influenza activity in the US by... 
EPIDEMICS | QUERY DATA | FLU | BIOCHEMICAL RESEARCH METHODS | MATHEMATICAL & COMPUTATIONAL BIOLOGY | Risk Assessment - methods | United States - epidemiology | Prevalence | Vocabulary, Controlled | Humans | Natural Language Processing | Influenza, Human - epidemiology | Machine Learning | Database Management Systems | Search Engine | Seasons | Social Media - statistics & numerical data | Data Mining - methods | Pattern Recognition, Automated - methods | Population Surveillance - methods | Databases, Factual | Control | Diagnosis | Influenza | Distribution | Statistics - Applications | Medical research | Hospitals | Infectious diseases | Surveillance | Funding | Social networks | Population | Mathematical models | Internet | Estimates | Methods
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3. Full Text Spread of yellow fever virus outbreak in Angola and the Democratic Republic of the Congo 2015–16: a modelling study
by Kraemer, Moritz U G, DPhil and Faria, Nuno R, PhD and Reiner, Robert C, PhD and Golding, Nick, DPhil and Nikolay, Birgit, PhD and Stasse, Stephanie, MD and Johansson, Michael A, PhD and Salje, Henrik, PhD and Faye, Ousmane, PhD and Wint, G R William, PhD and Niedrig, Matthias, PhD and Shearer, Freya M, BSc and Hill, Sarah C, BA and Thompson, Robin N, PhD and Bisanzio, Donal, PhD and Taveira, Nuno, Prof and Nax, Heinrich H, DPhil and Pradelski, Bary S R, DPhil and Nsoesie, Elaine O, PhD and Murphy, Nicholas R, MPhil and Bogoch, Isaac I, MD and Khan, Kamran, MD and Brownstein, John S, Prof and Tatem, Andrew J, Prof and de Oliveira, Tulio, PhD and Smith, David L, Prof and Sall, Amadou A, PhD and Pybus, Oliver G, Prof and Hay, Simon I, Prof and Cauchemez, Simon, PhD
Lancet Infectious Diseases, The, ISSN 1473-3099, 2017, Volume 17, Issue 3, pp. 330 - 338
Summary Background Since late 2015, an epidemic of yellow fever has caused more than 7334 suspected cases in Angola and the Democratic Republic of the Congo,... 
Infectious Disease | INFECTIOUS DISEASES | TRANSMISSION | INFECTION | DISEASE | Models | Epidemiology | Analysis | Yellow fever | Hyperthermia | Fever | Epidemics | Pathogens | Immunization | Scholarships & fellowships | Infectious diseases | Funding | Vaccines | Agreements | Grants
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4. Full Text A Simulation Optimization Approach to Epidemic Forecasting
by Nsoesie, Elaine O and Beckman, Richard J and Shashaani, Sara and Nagaraj, Kalyani S and Marathe, Madhav V
PLoS ONE, ISSN 1932-6203, 06/2013, Volume 8, Issue 6, p. e67164
Reliable forecasts of influenza can aid in the control of both seasonal and pandemic outbreaks. We introduce a simulation optimization (SIMOP) approach for... 
HETEROGENEITY | POPULATION | NETWORK | OUTBREAKS | SCHOOLCHILDREN | MULTIDISCIPLINARY SCIENCES | SEASONAL INFLUENZA | SURVEILLANCE | VACCINATION | INFLUENZA-A H1N1 | STRATEGIES | Epidemics | Florida - epidemiology | Algorithms | Virginia - epidemiology | Models, Biological | Computer Simulation | Humans | Influenza, Human - epidemiology | Seasons | Forecasting | Washington - epidemiology | Social networks | Forecasts and trends | Mathematical optimization | Influenza | Methods | Pandemics | Statistical analysis | Computer simulation | Science | Outbreaks | Epidemiology | Disease control | Optimization | Simulation | Mathematical models | Social organization
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5. Full Text Evaluating the implementation of a twitter-based foodborne illness reporting tool in the city of St. Louis department of health
by Harris, Jenine K and Hinyard, Leslie and Beatty, Kate and Hawkins, Jared B and Nsoesie, Elaine O and Mansour, Raed and Brownstein, John S
International Journal of Environmental Research and Public Health, ISSN 1661-7827, 05/2018, Volume 15, Issue 5, p. 833
Foodborne illness is a serious and preventable public health problem affecting 1 in 6 Americans with cost estimates over $50 billion annually. Local health... 
Consolidated framework for implementation research | Twitter | Food safety | CFIR | Local health department | Implementation | UNITED-STATES | IDENTIFY | implementation | RISK | food safety | local health department | ENVIRONMENTAL SCIENCES | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | SOCIAL MEDIA | EXPERIENCE | consolidated framework for implementation research | Public Health | Algorithms | Foodborne Diseases - prevention & control | Delivery of Health Care | Social Media | United States | Humans | Foodborne Diseases - epidemiology | Interviews as Topic | Food Safety - methods | Restaurants - standards | Intervention | Health services | Food contamination | Consumers | Innovations | Epidemiology | Success | Illnesses | Cost estimates | Food borne diseases | Complaints | Public information | Product safety | Interviews | Public health | Adaptation | Food | Food contamination & poisoning | Environmental health | Social networks | Restaurants | Surveillance | Food poisoning | New technology
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6. Full Text Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015
by Vos, Theo and Allen, Christine and Arora, Megha and Barber, Ryan M and Bhutta, Zulfiqar A and Brown, Jonathan and Brown, Alexandria and Carter, Austin and Casey, Daniel C and Charlson, Fiona J and Chen, Alan Z and Coggeshall, Megan and Cornaby, Leslie and Dandona, Lalit and Dandona, Rakhi and Dicker, Daniel J and Dilegge, Tina and Erskine, Holly E and Ferrari, Alize J and Fitzmaurice, Christina and Fleming, Tom and Forouzanfar, Mohammad H and Fullman, Nancy and Gething, Peter W and Goldberg, Ellen M and Graetz, Nicholas and Haagsma, Juanita A and Hay, Roderick J and Hay, Simon I and Johnson, Catherine O and Kassebaum, Nicholas J and Kawashima, Toana and Kemmer, Laura and Khalil, Ibrahim A and Kinfu, Yohannes and Kyu, Hmwe H and Leung, Ricky and Leung, Janni and Liang, Juan and Liang, Xiaofeng and Lim, Stephen S and Lopez, Alan D and Lozano, Rafael and Marczak, Laurie and Mensah, George A and Mokdad, Ali H and Naghavi, Mohsen and Nguyen, Quyen Le and Nguyen, Grant and Nsoesie, Elaine and Olsen, Helen and Pigott, David M and Pinho, Christine and Rankin, Zane and Reinig, Nikolas and Salomon, Joshua A and Sandar, Logan and Smith, Alison and Stanaway, Jeffrey and Steiner, Caitlyn and Steiner, Timothy J and Teeple, Stephanie and Thomas, Bernadette A and Troeger, Christopher and Wagner, Gregory R and Wagner, Joseph A and Wang, Haidong and Wang, Linhong and Wanga, Valentine and Whiteford, Harvey A and Zoeckler, Leo and Abajobir, Amanuel Alemu and Abate, Kalkidan Hassen and Abbafati, Cristiana and Abbas, Kaja M and Abd-Allah, Foad and Abraham, Biju and Abubakar, Ibrahim and Abu-Raddad, Laith J and Abu-Rmeileh, Niveen M E and Ackerman, Ilana N and Adebiyi, Akindele Olupelumi and Ademi, Zanfina and Adou, Arsène Kouablan and Afanvi, Kossivi Agbelenko and Agardh, Emilie Elisabet and Agarwal, Arnav and Kiadaliri, Aliasghar Ahmad and Ahmadieh, Hamid and Ajala, Oluremi N and Akinyemi, Rufus Olusola and Akseer, Nadia and Al-Aly, Ziyad and Alam, Khurshid and Alam, Noore K M and Aldhahri, Saleh Fahed and Alegretti, Miguel Angel and Alemu, Zewdie Aderaw and Alexander, Lily T and Alhabib, Samia and ... and GBD 2015 Dis Injury Incidence and GBD 2015 Disease and Injury Incidence and Prevalence Collaborators and Högskolan Dalarna and Akademin Utbildning, hälsa och samhälle and Medicinsk vetenskap
The Lancet, ISSN 0140-6736, 10/2016, Volume 388, Issue 10053, pp. 1545 - 1602
Background Non-fatal outcomes of disease and injury increasingly detract from the ability of the world's population to live in full health, a trend largely... 
Internal Medicine | MEDICINE, GENERAL & INTERNAL | DEMENTIA | ALZHEIMERS-DISEASE | PLASMODIUM-FALCIPARUM | SEQUELAE | VIRUS DISEASE | EBOLA HEMORRHAGIC-FEVER | MENTAL-HEALTH | HIV INCIDENCE | EXERCISE | STRATEGIES | Quality-Adjusted Life Years | Prevalence | Global Health | Humans | Bayes Theorem | Cost of Illness | Disabled Persons | Incidence | Medicine, Experimental | Medical research | Epidemiology | Analysis | Disability | Global health | Life expectancy | Disease | Mortality | Population | Age | Injuries | Injury analysis | Samfunnsmedisin, sosialmedisin: 801 | Community medicine, Social medicine: 801 | VDP | Helsefag: 800 | Health sciences: 800 | Medisinske Fag: 700 | Medical disciplines: 700 | Clinical Medicine | Hälsa och välfärd | Medical and Health Sciences | Klinisk medicin | Medicin och hälsovetenskap | Health and Welfare | Nutrition and Disease | HNE Nutrition and Disease | Chair Nutrition and Disease | Voeding en Ziekte | VLAG | HNE Voeding en Ziekte
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7. Full Text Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015
by Wang, Haidong and Wang, Linhong and Naghavi, Mohsen and Allen, Christine and Barber, Ryan M and Bhutta, Zulfiqar A and Carter, Austin and Casey, Daniel C and Charlson, Fiona J and Chen, Alan Zian and Chen, Wanqing and Coates, Matthew M and Coggeshall, Megan and Dandona, Lalit and Dandona, Rakhi and Dicker, Daniel J and Erskine, Holly E and Ferrari, Alize J and Fitzmaurice, Christina and Foreman, Kyle and Forouzanfar, Mohammad H and Fraser, Maya S and Fullman, Nancy and Gething, Peter W and Goldberg, Ellen M and Graetz, Nicholas and Haagsma, Juanita A and Hay, Simon I and Huynh, Chantal and Huynh, Grace and Johnson, Catherine O and Kassebaum, Nicholas J and Kinfu, Yohannes and Kulikoff, Xie Rachel and Kutz, Michael and Kyu, Hmwe H and Larson, Heidi J and Leung, Janni and Liang, Xiaofeng and Lim, Stephen S and Lind, Margaret and Lozano, Rafael and Marquez, Neal and Mensah, George A and Mikesell, Joe and Mokdad, Ali H and Mooney, Meghan D and Nguyen, Quyen Le and Nguyen, Grant and Nsoesie, Elaine and Pigott, David M and Pinho, Christine and Roth, Gregory A and Salomon, Joshua A and Sandar, Logan and Silpakit, Naris and Sligar, Amber and Sorensen, Reed J D and Stanaway, Jeffrey and Steiner, Caitlyn and Teeple, Stephanie and Thomas, Bernadette A and Troeger, Christopher and VanderZanden, Amelia and Vollset, Stein Emil and Wanga, Valentine and Whiteford, Harvey A and Wolock, Timothy and Zoeckler, Leo and Abate, Kalkidan Hassen and Abbafati, Cristiana and Abbas, Kaja M and Abd-Allah, Foad and Abera, Semaw Ferede and Abreu, Daisy M X and Abu-Raddad, Laith J and Abyu, Gebre Yitayih and Achoki, Tom and Adelekan, Ademola Lukman and Ademi, Zanfina and Adou, Arsène Kouablan and Adsuar, José C and Afanvi, Kossivi Agbelenko and Afshin, Ashkan and Agardh, Emilie Elisabet and Agarwal, Arnav and Agrawal, Anurag and Kiadaliri, Aliasghar Ahmad and Ajala, Oluremi N and Akanda, Ali Shafqat and Akinyemi, Rufus Olusola and Akinyemiju, Tomi F and Akseer, Nadia and Lami, Faris Hasan Al and Alabed, Samer and Al-Aly, Ziyad and Alam, Noore K M and Alam, Khurshid and Alasfoor, Deena and Aldhahri, Saleh Fahed and ... and GBD 015 Mortality and Causes Death and GBD 2015 Mortality and Causes of Death Collaborators and Högskolan Dalarna and Akademin Utbildning, hälsa och samhälle and Medicinsk vetenskap
The Lancet, ISSN 0140-6736, 10/2016, Volume 388, Issue 10053, pp. 1459 - 1544
Summary Background Improving survival and extending the longevity of life for all populations requires timely, robust evidence on local mortality levels and... 
Internal Medicine | VERBAL AUTOPSY | UNITED-STATES | MEDICINE, GENERAL & INTERNAL | EPIDEMIOLOGIC TRANSITION | PUBLIC-HEALTH | ROAD TRAFFIC INJURIES | DEVELOPMENT ASSISTANCE | 188 COUNTRIES | CLIMATE-CHANGE | INTEGRATED APPROACH | CIVIL REGISTRATION | Mortality, Premature | Global Health | Communicable Diseases - epidemiology | Humans | Mortality - trends | Life Expectancy - trends | Cause of Death | Medical research | Life expectancy | Analysis | Mortality | Questions and answers | Medicine, Experimental | Health aspects | Studies | Global health | Life span | Epidemiology | Public health | Samfunnsmedisin, sosialmedisin: 801 | Community medicine, Social medicine: 801 | VDP | Helsefag: 800 | Health sciences: 800 | Medisinske Fag: 700 | Medical disciplines: 700 | Clinical Medicine | Hälsa och välfärd | Medical and Health Sciences | Klinisk medicin | Medicin och hälsovetenskap | Health and Welfare | Nutrition and Disease | HNE Nutrition and Disease | Chair Nutrition and Disease | Voeding en Ziekte | VLAG | HNE Voeding en Ziekte
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