Measuring underreporting and under-ascertainment in infectious disease datasets: a comparison of methods. - Wikidata - wikimedia - TriplyDB

Measuring underreporting and under-ascertainment in infectious disease datasets: a comparison of methods.

Measuring underreporting and under-ascertainment in infectious disease datasets: a comparison of methods.

http://www.wikidata.org/entity/Q33588413

about

Symptomatic Dengue Disease in Five Southeast Asian Countries: Epidemiological Evidence from a Dengue Vaccine Trial A decade of norovirus disease risk among older adults in upper-middle and high income countries: a systematic review Epidemiology and economic burden of measles, mumps, pertussis, and varicella in Germany: a systematic review Risk factors for mortality in TB patients: a 10-year electronic record review in a South African province A Software Tool for Estimation of Burden of Infectious Diseases in Europe Using Incidence-Based Disability Adjusted Life Years Economic Costs of Measles Outbreak in the Netherlands, 2013-2014 Incorporating social contact data in spatio-temporal models for infectious disease spread Estimating the annual burden of tick-borne encephalitis to inform vaccination policy, Slovenia, 2009 to 2013 Estimating healthcare costs of acute gastroenteritis and human campylobacteriosis in Switzerland Challenges in developing methods for quantifying the effects of weather and climate on water-associated diseases: A systematic review Surveillance perspective on Lyme borreliosis across the European Union and European Economic Area.Burden of disease measured by disability-adjusted life years and a disease forecasting time series model of scrub typhus in Laiwu, China Meta-genomic analysis of toilet waste from long distance flights; a step towards global surveillance of infectious diseases and antimicrobial resistance.The Burden of Tick-Borne Encephalitis in Disability-Adjusted Life Years (DALYs) for Slovenia.Disease Burden of 32 Infectious Diseases in the Netherlands, 2007-2011.Underreporting of hepatitis A in non-endemic countries: a systematic review and meta-analysis A Unified Framework for the Infection Dynamics of Zoonotic Spillover and Spread.Human brucellosis in the Emirate of Abu Dhabi, United Arab Emirates, 2010-2015.Burden of Six Healthcare-Associated Infections on European Population Health: Estimating Incidence-Based Disability-Adjusted Life Years through a Population Prevalence-Based Modelling Study.Towards understanding clinical campylobacter infection and its transmission: time for a different approach?Estimating the real incidence of invasive listeriosis through an integrated surveillance model in use in Lombardy (Italy, 2006-2014).Australia's National Notifiable Diseases Surveillance System 1991-2011: expanding, adapting and improving.The economic burden of a Salmonella Thompson outbreak caused by smoked salmon in the Netherlands, 2012-2013.Acute gastroenteritis in primary care: a longitudinal study in the Swiss Sentinel Surveillance Network, Sentinella.Surveillance of imported hospital requiring malaria in Portugal: can it be improved?Self-reported Health Care Utilization of Patients with Inflammatory Bowel Disease Correlates Perfectly with Medical Records.Non-typhoidal Salmonella in Calabria, Italy: a laboratory and patient-based survey.An Ontology to Improve Transparency in Case Definition and Increase Case Finding of Infectious Intestinal Disease: Database Study in English General Practice.Under-reporting of notifiable infectious disease hospitalizations: significant improvements in the Irish context.Emerging infectious disease outbreaks: estimating disease risk in Australian blood donors travelling overseas.Multipathway Quantitative Assessment of Exposure to Fecal Contamination for Young Children in Low-Income Urban Environments in Accra, Ghana: The SaniPath Analytical Approach.The European Union summary report on trends and sources of zoonoses, zoonotic agents and food‐borne outbreaks in 2015 Estimating the Population Impact of a New Pediatric Influenza Vaccination Program in England Using Social Media Content.Cost of Illness for Five Major Foodborne Illnesses and Sequelae in Sweden.Quantifying the burden of vampire bat rabies in Peruvian livestock.Estimating the prevalence of infectious diseases from under-reported age-dependent compulsorily notification databases.Evaluating dengue burden in Africa in passive fever surveillance and seroprevalence studies: protocol of field studies of the Dengue Vaccine Initiative.Methodology for computing the burden of disease of adverse events following immunization.Impact of infectious diseases on population health using incidence-based disability-adjusted life years (DALYs): results from the Burden of Communicable Diseases in Europe study, European Union and European Economic Area countries, 2009 to 2013.Modeling and inference for infectious disease dynamics: a likelihood-based approach.

P2860

Q26316560-1D0AFA9A-8F57-485B-96DE-05DEE28060A6 Q26783083-59FFE249-83A6-47D8-963C-5ABEDB9FE993 Q28080274-42736D0B-A594-412F-8641-7FD6DEF31A67 Q28364961-3ED769B1-67C7-4D72-8FAC-97052FE2E64D Q29247957-1081A627-ED61-4F4B-BA89-5692F734D6DD Q30202369-19C9570E-9734-4180-BD3E-32C245388626 Q30843988-D58CFC29-FA47-42C3-8C60-65A125DCA38A Q33601655-119F0101-FAC1-4658-8457-A91C8D7A258E Q33662036-96D1879F-33AA-4FDA-8E5E-15229E8A6D96 Q33825700-D3DEE83C-01E6-4DC3-BED7-B67E60242D8F Q33900172-1BA8A477-5977-4802-84D4-678D7C867382 Q34888551-EC4D4070-77E6-47C2-957D-41CD4D614070 Q35838250-C67A2E5A-74E6-48FC-A49E-5C588F8A740D Q35870061-6A000427-2D82-4688-999A-B8236E5A5BB0 Q35994858-14C9DBBA-407C-4571-9C5A-C0E190F4E8CC Q36051251-7EB47533-002A-4E11-A53D-A5800836E360 Q36121376-8A1D6040-A2B1-4D6A-83F7-7DF577EBB6D8 Q36160739-071EA0EB-BDE6-4A32-B46C-CF5776A04375 Q36166085-029A131A-2147-47B7-B5AF-C37CEB21CFA3 Q36331414-3A5AFFF6-A117-4CA6-8D3E-5592511FE1FF Q38818161-EE02B5E8-9BC1-4578-976A-0BD93E19B303 Q39033647-E1F2AC4D-388B-49CF-901C-4C0BF5A8B31C Q39193922-B6301C76-C0B0-48DB-9C16-51900D61E35B Q39437766-D1B01BF7-9507-460C-9EAB-15AD5F23B18A Q39858573-0084A95D-57A9-4121-AA36-ACE9B6F67B82 Q40032358-FFBE8247-3BB5-4C1E-A2B7-CF1DA94C2930 Q40046836-8A4AEAFF-4EDB-41AA-9D45-AD9564ED891C Q41993241-F7854065-9808-4C23-AD15-CAC9FE9B6806 Q42205551-6A40C947-8868-452D-AA28-E460C4B2B4F5 Q43047264-9E2097FA-2FF5-4F34-A176-10012ACEF9D6 Q43168199-884EC7D4-5B24-40A1-BDEE-CE1383D4E2EB Q47158472-C66538AD-E513-406E-B8DC-324DE36119EC Q47187065-3312CBE1-3718-4273-8ABC-AB28C3ACC2C3 Q47192757-BF34DF08-9B0D-4394-966B-8E641BAAD9AD Q47267856-CCD8FB0F-1073-4609-8546-3954F757EE67 Q47580081-8714DBB1-58BB-413A-B4E3-2D8231D24EBA Q49269944-6A85223C-6645-439B-A3EE-42400A1D246E Q51556405-E9EC6873-28E8-4E69-9BD8-B49A686228E6 Q52804306-930E871F-7A09-4162-AE4B-74E28D7463CE Q54213303-F5F98397-1770-4506-8DD1-C6AE313357CB

P2860

Measuring underreporting and under-ascertainment in infectious disease datasets: a comparison of methods.

http://www.wikidata.org/entity/Q33588413

description

2014 nî lūn-bûn

@nan

2014 թուականի Փետրուարին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի փետրվարին հրատարակված գիտական հոդված

@hy

2014年の論文

@ja

2014年論文

@yue

2014年論文

@zh-hant

2014年論文

@zh-hk

2014年論文

@zh-mo

2014年論文

@zh-tw

2014年论文

@wuu

name

Measuring underreporting and u ...... sets: a comparison of methods.

@ast

Measuring underreporting and u ...... sets: a comparison of methods.

@en

Measuring underreporting and u ...... sets: a comparison of methods.

@nl

type

label

Measuring underreporting and u ...... sets: a comparison of methods.

@ast

Measuring underreporting and u ...... sets: a comparison of methods.

@en

Measuring underreporting and u ...... sets: a comparison of methods.

@nl

prefLabel

Measuring underreporting and u ...... sets: a comparison of methods.

@ast

Measuring underreporting and u ...... sets: a comparison of methods.

@en

Measuring underreporting and u ...... sets: a comparison of methods.

@nl

P1433

Q33588413-4B05191E-E0F1-491E-BC2D-3A535012335E

P1476

Q33588413-238EE3C0-B3D7-46D5-957B-08E204E02430

P2093

Q33588413-1B4B872C-693C-4D78-9692-FDEB6F9FAB39

Q33588413-28AE856F-8C04-4813-932A-B5FB194642BC

Q33588413-717344B6-BF37-44BE-82FB-1E047F0CF695

Q33588413-90A2F3EB-403C-4D57-AE80-8C45A37BBEFD

Q33588413-9603F3C3-A3D0-46D1-8572-04917B2AC932

Q33588413-C46834B2-26CC-4B43-8CB9-DA7C5FDC429C

Q33588413-D0EFB74A-9E20-4E25-9EE0-934BD164F2E9

Q33588413-D1E1E713-BAB9-417D-BA8F-436F9BA5717A

P2860

Q33588413-04FC13C6-8CB6-47B4-A5F4-9769F712EF48

Q33588413-0523A65A-F0D7-458E-8201-CED6BAA880AC

Q33588413-05BE664D-46BA-431D-AE85-3C1681EDA4AA

Q33588413-06BCDAF3-22F5-4070-9E52-873EC9FC4218

Q33588413-077367A0-BF07-4ED1-8249-D9C9AA920BB5

Q33588413-0824BA9A-CAE4-449E-AFA4-B070B4A04E48

Q33588413-08D8E5BE-EDAC-4E88-BBAE-523C94B2AB20

Q33588413-0959A0B4-A0D5-4A05-8F24-326DA3FB8862

Q33588413-09C4A272-85DE-43E8-8FB2-F642C9FBBCAF

Q33588413-0CDD0515-C6A6-4209-A401-53F8A1BD976B

P2888

Q33588413-38658058-497B-4A10-8BF4-293BB47D5266

P304

Q33588413-F2896EF1-65E2-490F-B7D3-85BD579F2BE6

P31

Q33588413-8376E0A8-B369-4ABF-98BF-FA5138394EB9

P356

Q33588413-3F9DCF31-F61A-42E1-A245-DB2A2DC54924

P407

Q33588413-F7A726A3-B5AE-4C59-B4A0-F6696519EA8F

P478

Q33588413-8D908504-C1C5-4940-8CCD-D7DE14F6D980

P50

Q33588413-209AA082-C81B-46E8-998B-255C7F4F0F47

Q33588413-4151BC66-A910-446F-A7B6-F16EA6CA3C52

Q33588413-A4BCC06E-90FD-4453-AE1A-BE9BAFDF0F07

Q33588413-B54BDBC2-E963-4B58-97F1-E097C114F6E1

P577

Q33588413-0A1A873D-8DA5-4551-AE13-3674900C5306

P5875

Q33588413-F5350E91-146B-47B0-B8BA-1A1F21C3D4E0

P6179

Q33588413-47A8BC69-7F24-493E-9347-AA858BC74930

P698

Q33588413-E899B444-F663-4F66-89A4-B195F7BA4894

P921

Q33588413-93900DA9-C7FD-45D9-B355-59E1F09996A5

P932

Q33588413-DF0DD682-73D2-4996-AF7A-541B2117DB65

P356

1471-2458-14-147

P1433

BMC Public Health

P1476

Measuring underreporting and u ...... sets: a comparison of methods.

@en

P2093

Anke L Stuurman

http://www.w3.org/2001/XMLSchema#string

Arie H Havelaar

http://www.w3.org/2001/XMLSchema#string

Burden of Communicable diseases in Europe (BCoDE) consortium

http://www.w3.org/2001/XMLSchema#string

Cheryl L Gibbons

http://www.w3.org/2001/XMLSchema#string

Dietrich Plass

http://www.w3.org/2001/XMLSchema#string

Karen L Peterson

http://www.w3.org/2001/XMLSchema#string

Mirjam E E Kretzschmar

http://www.w3.org/2001/XMLSchema#string

Piotr Kramarz

http://www.w3.org/2001/XMLSchema#string

P2860

Cryptosporidiosis-associated mortality following a massive waterborne outbreak in Milwaukee, Wisconsin

Foodborne illness acquired in the United States--major pathogens

A large outbreak of campylobacteriosis associated with a municipal water supply in Finland

An evaluation of completeness of tuberculosis notification in the United Kingdom

The comparative burden of salmonellosis in the European Union member states, associated and candidate countries.

Food-related illness and death in the United States

Estimates of the prevalence of pandemic (H1N1) 2009, United States, April-July 2009.

Self-reported influenza-like illness during the 2009 H1N1 influenza pandemic--United States, September 2009 - March 2010.

Estimating the disease burden of 2009 pandemic influenza A(H1N1) from surveillance and household surveys in Greece.

Changes in severity of 2009 pandemic A/H1N1 influenza in England: a Bayesian evidence synthesis

P2888

1471-2458-14-147

P304

147

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1186/1471-2458-14-147

http://www.w3.org/2001/XMLSchema#string

P407

P478

14

http://www.w3.org/2001/XMLSchema#string

P50

Marie-Josée J Mangen

Russell John Brooke

Alessandro Cassini

P577

2014-02-11T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

260148431

http://www.w3.org/2001/XMLSchema#string

P6179

1015053541

http://www.w3.org/2001/XMLSchema#string

P698

24517715

http://www.w3.org/2001/XMLSchema#string

P921

P932

4015559

http://www.w3.org/2001/XMLSchema#string