Optimising cluster survey design for planning schistosomiasis preventive chemotherapy - Wikidata - awgldk - TriplyDB

Optimising cluster survey design for planning schistosomiasis preventive chemotherapy

Optimising cluster survey design for planning schistosomiasis preventive chemotherapy

http://www.wikidata.org/entity/Q33778835

about

Assessing the benefits of five years of different approaches to treatment of urogenital schistosomiasis: A SCORE project in Northern Mozambique.Systematic review of community-based, school-based, and combined delivery modes for reaching school-aged children in mass drug administration programs for schistosomiasis.

P2860

Q46598931-CD28492A-480C-480E-895F-AA4E633854AB Q47122732-DF4C81C6-E485-424B-A505-08D5E686612F

P2860

Optimising cluster survey design for planning schistosomiasis preventive chemotherapy

http://www.wikidata.org/entity/Q33778835

description

2017 nî lūn-bûn

@nan

2017 թուականի Մայիսին հրատարակուած գիտական յօդուած

@hyw

2017 թվականի մայիսին հրատարակված գիտական հոդված

@hy

2017年の論文

@ja

2017年論文

@yue

2017年論文

@zh-hant

2017年論文

@zh-hk

2017年論文

@zh-mo

2017年論文

@zh-tw

2017年论文

@wuu

name

Optimising cluster survey design for planning schistosomiasis preventive chemotherapy

@ast

Optimising cluster survey design for planning schistosomiasis preventive chemotherapy

@en

type

label

Optimising cluster survey design for planning schistosomiasis preventive chemotherapy

@ast

Optimising cluster survey design for planning schistosomiasis preventive chemotherapy

@en

prefLabel

Optimising cluster survey design for planning schistosomiasis preventive chemotherapy

@ast

Optimising cluster survey design for planning schistosomiasis preventive chemotherapy

@en

P1433

Q33778835-63E6401A-02E3-4FCD-9044-A0EA3B12BCAB

P1476

Q33778835-E6E67CF5-EBD2-4442-9002-80C1550ED52B

P2093

Q33778835-02C93A47-2870-4029-B58C-78C9B940B80B

Q33778835-0D55D23F-82EA-49A1-A72B-8E05A4AB1EE0

Q33778835-0F828E4F-4CFF-458D-80E4-8B8B9DC67D6A

Q33778835-1457CFAC-631C-480C-B05C-8179BB8CB96F

Q33778835-1FD63C23-5A56-44EA-B843-752AAE730ECA

Q33778835-5C953D8D-2915-4693-83B8-FE54729F2A3F

Q33778835-7E2B9F8A-E525-429A-81EA-D8832CA62C80

Q33778835-98273DD0-E0AB-4642-80B9-52497FBFB1B5

Q33778835-AC535764-1374-42E7-8470-538D79DC0EDF

Q33778835-AE448E99-9F82-4C27-9629-774F6A575821

P2860

Q33778835-003D1875-7D20-4B50-92C5-85F5367E6E51

Q33778835-06D81F14-B24D-4C9F-A651-FFFD3AE6CADD

Q33778835-100D1ED9-F608-48E0-86C8-84531E1090F4

Q33778835-18063A97-CBCD-442C-B589-1ACFDCF8ACAA

Q33778835-1933178F-7AB3-4A40-AD32-0678B7061429

Q33778835-205B41A5-70D5-4C93-9720-D2131EE83545

Q33778835-24DC230D-B460-4559-BEBC-B7E3973244D7

Q33778835-2B58F4FA-6CF5-4A47-AA7A-3247EE411973

Q33778835-2CADBA1F-1DFC-4CE5-B974-E6669745648E

Q33778835-334A440B-0777-4333-8224-2A3C0804112A

P304

Q33778835-A7F4A8E6-88EE-4ACF-A6AE-1C72C269AF37

P31

Q33778835-B5796E6C-78F2-40D2-B4AE-92FDA4CBB13B

P356

Q33778835-969CABDD-A442-487B-9D48-740B3489DC47

P407

Q33778835-70E89645-2B42-491D-96A1-96A2BD6B11F1

P433

Q33778835-6B348933-48CF-4032-BB34-D787D1EB420A

P478

Q33778835-3D70228E-8560-40A4-8DAD-35A748D841DE

P50

Q33778835-060E7AF9-6CDB-471F-951F-DECC71D87ECD

Q33778835-A938A813-E5C9-4FAB-89CB-068CEA4FF972

Q33778835-AF306D32-719F-4EEE-96F4-6AAA78F35445

Q33778835-B019E8CB-C0D6-4258-8823-E52586C1A1DD

P577

Q33778835-B1FD2E69-AD01-46D5-B142-19B6BAFFDE1B

P698

Q33778835-506A7981-A0CF-4D4C-93A6-91C62E5B254D

P921

Q33778835-E46AEDDC-BD5A-4C74-9BFE-E41C5A9C60A8

P932

Q33778835-2DEF7FD1-B199-4EB3-B01F-7FB917AA83A7

P356

JOURNAL.PNTD.0005599

P1433

PLOS Neglected Tropical Diseases

P1476

Optimising cluster survey design for planning schistosomiasis preventive chemotherapy

@en

P2093

Aboulaye Meite

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

Alan Fenwick

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

Anna E Phillips

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

Ben Styles

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

Brent Thomas

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

Catherine Thomas

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

Charlotte M Gower

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

Jane M Whitton

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

Karsor Kollie

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

Maria P Rebollo

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

P2860

Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010

Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010

Spatial modelling of soil-transmitted helminth infections in Kenya: a disease control planning tool

Schistosomiasis and soil-transmitted helminth control in Niger: cost effectiveness of school based and community distributed mass drug administration [corrected]

Mapping helminth co-infection and co-intensity: geostatistical prediction in ghana

Mapping of Schistosomiasis and Soil-Transmitted Helminths in Namibia: The First Large-Scale Protocol to Formally Include Rapid Diagnostic Tests

Cost analysis of school-based intermittent screening and treatment of malaria in Kenya

Quantification of clinical morbidity associated with schistosome infection in sub-Saharan Africa

The contribution of mass drug administration to global health: past, present and future.

Rapid mapping of schistosomiasis and other neglected tropical diseases in the context of integrated control programmes in Africa.

P304

e0005599

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

P31

scholarly article

P356

10.1371/JOURNAL.PNTD.0005599

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

P407

P433

5

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

P478

11

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

P50

Hugh J W Sturrock

Sarah C L Knowles

P577

2017-05-26T00:00:00Z

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

P698

28552961

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

P921

schistosomiasis

P932

5464666

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