Evidence map›Paper›PMID 25128879›Full record

ArticleInternational journal for parasitology2014

Geographical distribution of human Schistosoma japonicum infection in The Philippines: tools to support disease control and further elimination.

Ricardo J Soares Magalhães, Maria Sonia Salamat, Lydia Leonardo, Darren J Gray, Hélène Carabin, Kate Halton, Donald P McManus, Gail M Williams, Pilarita Rivera, Ofelia Saniel and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal for parasitology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. ACG case reports journal · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. The landscape epidemiology of echinococcoses.Infectious diseases of poverty · 2016
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Ricardo J Soares MagalhãesUniversity of Queensland, Infectious Disease Epidemiology Unit, School of Population Health, Public Health Building, Herston Road, 4006 Herston, Australia; University of Queensland, School of Veterinary Science, Gatton, 4343 Gatton, Australia. Electronic address: r.magalhaes@uq.edu.au.
Maria Sonia SalamatUniversity of The Philippines-Manila, College of Public Health, Department of Parasitology, Ermita, Manila, Philippines.
Lydia LeonardoUniversity of The Philippines-Manila, College of Public Health, Department of Parasitology, Ermita, Manila, Philippines.
Darren J GrayUniversity of Queensland, Infectious Disease Epidemiology Unit, School of Population Health, Public Health Building, Herston Road, 4006 Herston, Australia; Infectious Disease Division, Queensland Institute of Medical Research, Herston, Queensland, Australia; Research School of Population Health, The Australian National University, Canberra, Australia.
Hélène CarabinDepartment of Biostatistics and Epidemiology, College of Public Health, University of Oklahoma Health Sciences Center, OK, USA.
Kate HaltonInstitute for Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Queensland, Australia.
Donald P McManusInfectious Disease Division, Queensland Institute of Medical Research, Herston, Queensland, Australia.
Gail M WilliamsUniversity of Queensland, Infectious Disease Epidemiology Unit, School of Population Health, Public Health Building, Herston Road, 4006 Herston, Australia.
Pilarita RiveraUniversity of The Philippines-Manila, College of Public Health, Department of Parasitology, Ermita, Manila, Philippines.
Ofelia SanielUniversity of The Philippines-Manila, College of Public Health, Department of Parasitology, Ermita, Manila, Philippines.
Leda HernandezPhilippine Department of Health National Center for Disease Prevention and Control, Manila, Philippines.
Laith YakobUniversity of Queensland, Infectious Disease Epidemiology Unit, School of Population Health, Public Health Building, Herston Road, 4006 Herston, Australia.
Stephen McGarveyInternational Health Institute, Brown University, Providence, RI, USA.
Archie ClementsUniversity of Queensland, Infectious Disease Epidemiology Unit, School of Population Health, Public Health Building, Herston Road, 4006 Herston, Australia; Research School of Population Health, The Australian National University, Canberra, Australia.

Funding

Spatial Analysis CoreR24HD041020 · NICHD · BROWN UNIVERSITY · PI LOGAN, JOHN R · 2001 to 2016
$7.4M
ECOLOGY AND TRANSMISSION OF S.JAPONICUM: PHILIPPINESR01TW001582 · FIC · BROWN UNIVERSITY · PI MCGARVEY, STEPHEN T. · 2000 to 2004
$1.7M
FIC NIH HHS R01 TW001582FIC NIH HHS TW01582NICHD NIH HHS R24 HD041020
6 · The paper itself

Abstract

Schistosoma japonicum infection is believed to be endemic in 28 of the 80 provinces of The Philippines and the most recent data on schistosomiasis prevalence have shown considerable variability between provinces. In order to increase the efficient allocation of parasitic disease control resources in the country, we aimed to describe the small-scale spatial variation in S. japonicum prevalence across The Philippines, quantify the role of the physical environment in driving the spatial variation of S. japonicum, and develop a predictive risk map of S. japonicum infection. Data on S. japonicum infection from 35,754 individuals across the country were geo-located at the barangay level and included in the analysis. The analysis was then stratified geographically for the regions of Luzon, the Visayas and Mindanao. Zero-inflated binomial Bayesian geostatistical models of S. japonicum prevalence were developed and diagnostic uncertainty was incorporated. Results of the analysis show that in the three regions, males and individuals aged ⩾20years had significantly higher prevalence of S. japonicum compared with females and children <5years. The role of the environmental variables differed between regions of The Philippines. Schistosoma japonicum infection was widespread in the Visayas whereas it was much more focal in Luzon and Mindanao. This analysis revealed significant spatial variation in the prevalence of S. japonicum infection in The Philippines. This suggests that a spatially targeted approach to schistosomiasis interventions, including mass drug administration, is warranted. When financially possible, additional schistosomiasis surveys should be prioritised for areas identified to be at high risk but which were under-represented in our dataset.

Indexed as

AdolescentAnimalsBayes TheoremChildChild, PreschoolCluster AnalysisFecesFemaleGeography, MedicalHumansMaleModels, StatisticalParasite Egg CountPhilippinesPrevalenceSchistosoma mansoniDisease controlDisease eliminationPhilippinesRisk mappingSchistosoma japonicum

Identifiers

PMID25128879
PMCPMC4407142

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.