(Q37123843)

English

Bayesian spatial analysis of a national urinary schistosomiasis questionnaire to assist geographic targeting of schistosomiasis control in Tanzania, East Africa

scientific article published on 02 September 2007

In more languages

Statements

scholarly article

1 reference

Europe PubMed Central

PMC publication ID

18 August 2017

Bayesian spatial analysis of a national urinary schistosomiasis questionnaire to assist geographic targeting of schistosomiasis control in Tanzania, East Africa (English)

1 reference

Europe PubMed Central

PMC publication ID

18 August 2017

schistosomiasis

0 references

0 references

0 references

1 reference

based on heuristic

inferred from title

urinary schistosomiasis

1 reference

based on heuristic

inferred from title

author name string

A C A Clements

1

1 reference

Europe PubMed Central

PMC publication ID

18 August 2017

S Brooker

2

1 reference

Europe PubMed Central

PMC publication ID

18 August 2017

U Nyandindi

3

1 reference

Europe PubMed Central

PMC publication ID

18 August 2017

A Fenwick

4

1 reference

Europe PubMed Central

PMC publication ID

18 August 2017

L Blair

5

1 reference

Europe PubMed Central

PMC publication ID

18 August 2017

publication date

2 September 2007

1 reference

Europe PubMed Central

PMC publication ID

18 August 2017

International Journal for Parasitology

1 reference

Europe PubMed Central

PMC publication ID

18 August 2017

38

1 reference

Europe PubMed Central

PMC publication ID

18 August 2017

3-4

1 reference

Europe PubMed Central

PMC publication ID

18 August 2017

401-415

1 reference

Europe PubMed Central

PMC publication ID

18 August 2017

on focus list of Wikimedia project

0 references

Integrated disease mapping in a polyparasitic world

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2653941

14 September 2017

The malaria Atlas Project: developing global maps of malaria risk

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2653941

14 September 2017

Spatial epidemiology of human schistosomiasis in Africa: risk models, transmission dynamics and control

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2653941

14 September 2017

Bayesian geostatistical prediction of the intensity of infection with Schistosoma mansoni in East Africa

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2653941

14 September 2017

Schistosomiasis and water resources development: systematic review, meta-analysis, and estimates of people at risk

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2653941

14 September 2017

The control of schistosomiasis and soil-transmitted helminths in East Africa

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2653941

14 September 2017

Global environmental data for mapping infectious disease distribution

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2653941

14 September 2017

An integrated approach for risk profiling and spatial prediction of Schistosoma mansoni-hookworm coinfection

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2653941

14 September 2017

Bayesian spatial analysis and disease mapping: tools to enhance planning and implementation of a schistosomiasis control programme in Tanzania

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2653941

14 September 2017

Spatial risk prediction and mapping of Schistosoma mansoni infections among schoolchildren living in western Côte d'Ivoire

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2653941

14 September 2017

A comparison of Bayesian spatial models for disease mapping

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2653941

14 September 2017

Screening for schistosomiasis with questionnaires

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2653941

14 September 2017

Predicting the distribution of urinary schistosomiasis in Tanzania using satellite sensor data

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2653941

14 September 2017

The potential of geographical information systems and remote sensing in the epidemiology and control of human helminth infections

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2653941

14 September 2017

Simple school questionnaires can map both Schistosoma mansoni and Schistosoma haematobium in the Democratic Republic of Congo

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2653941

14 September 2017

The use of morbidity questionnaires to identify communities with high prevalences of schistosome or geohelminth infections in Tanzania

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2653941

14 September 2017

Community-based questionnaires and health statistics as tools for the cost-efficient identification of communities at risk of urinary schistosomiasis

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2653941

14 September 2017

The reliability of self-reported blood in urine and schistosomiasis as indicators of Schistosoma haematobium infection in school children: a study in Muheza District, Tanzania

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2653941

27 June 2018

A Bayesian-based approach for spatio-temporal modeling of county level prevalence of Schistosoma japonicum infection in Jiangsu province, China

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2653941

3 September 2018

Control of urinary schistosomiasis: an investigation into the effective use of questionnaires to identify high-risk communities and individuals in Niger State, Nigeria.

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2653941

3 September 2018

The performance of school-based questionnaires of reported blood in urine in diagnosing Schistosoma haematobium infection: patterns by age and sex

1 reference

https://pubmed.ncbi.nlm.nih.gov/17920605

12 December 2020

based on heuristic

inferred from PubMed ID database lookup

Identifiers

10.1016/J.IJPARA.2007.08.001

1 reference

Europe PubMed Central

PMC publication ID

18 August 2017

PMC publication ID

1 reference

Europe PubMed Central

PMC publication ID

18 August 2017

PubMed publication ID

1 reference

Europe PubMed Central

PMC publication ID

18 August 2017

ResearchGate publication ID

0 references

Sitelinks

Wikipedia(0 entries)

Wikibooks(0 entries)

Wikinews(0 entries)

Wikiquote(0 entries)

Wikisource(0 entries)

Wikiversity(0 entries)

Wikivoyage(0 entries)

Wiktionary(0 entries)

Multilingual sites(0 entries)

Retrieved from "https://www.wikidata.org/w/index.php?title=Q37123843&oldid=2077220870"