Environmental factors and the risk of urinary schistosomiasis in Ile Oluji/Oke Igbo local government area of Ondo State

Geographic information systems are being increasingly used to show the distributions of disease where data for specific environmental risk factors are available. For successful transmission of schistosomiasis, suitable climatic conditions and biological events must coincide; hence its distribution and prevalence are greatly influenced by environmental factors affecting the population of snail intermediate hosts and human hosts. Prevalence and demographic data was obtained by parasitological examination of urine samples and questionnaire administration. The mean values of environmental factors corresponding to the local government area were obtained from remotely sensed images and data from climate research unit. The effects of the environmental factors were determined by using regression analysis to analyse the correlation of environmental factors to prevalence of schistosomiasis. There was a negative correlation between infection and elevation. There was a positive correlation between vegetation, rainfall, slope, temperature and prevalence of infection. There was also a weak negative correlation between proximity to water body and prevalence. The result shows the study area to be at low to high risk of infection.

• Publication year

  2016

• Venue

  Parasite Epidemiology and Control

• Publication date

  2016-03-31

• Fields of study

  Geography, Medicine, Environmental Science

• Identifiers
  DOI 10.1016/j.parepi.2016.03.006PMID 29988176PMCID 5991853
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Risk profiling of schistosomiasis using remote sensing: approaches, challenges and outlook

  2015cited by this paper
• Environmental Factors and Distribution of Urinary Schistosomiasis in Cross River State, Nigeria

  2014cited by this paper
• Mapping and prediction of schistosomiasis in Nigeria using compiled survey data and Bayesian geospatial modelling.

  2013cited by this paper
• Remote sensing , geographical information system and spatial analysis for schistosomiasis epidemiology and ecology in Africa

  2009cited by this paper
• Remote sensing, geographical information system and spatial analysis for schistosomiasis epidemiology and ecology in Africa

  2009influential reference
• Geographical information system and predictive risk maps of urinary schistosomiasis in Ogun State, Nigeria

  2008influential reference
• Remote Sensing and Geographic Information Systems for the Study of Schistosomiasis in the State of Minas Gerais, Brazil

  2006cited by this paper
• Spatial risk prediction and mapping of Schistosoma mansoni infections among schoolchildren living in western Côte d'Ivoire

  2005cited by this paper
• A review of geographic information system and remote sensing with applications to the epidemiology and control of schistosomiasis in China.

  2005cited by this paper
• Spatial patterns of urinary schistosomiasis infection in a highly endemic area of coastal Kenya.

  2004cited by this paper
• Temperature-suitability maps for schistosomiasis in South Africa

  2003influential reference
• Using NOAA-AVHRR data to model human helminth distributions in planning disease control in Cameroon, West Africa

  2002cited by this paper
• Tools from ecology: useful for evaluating infection risk models?

  2002cited by this paper
• Predicting the distribution of urinary schistosomiasis in Tanzania using satellite sensor data

  2001cited by this paper
• Geographic information systems and the environmental risk of schistosomiasis in Bahia, Brazil.

  1999cited by this paper
• Geographic information systems and the distribution of Schistosoma mansoni in the Nile delta.

  1997cited by this paper
• Guidelines for forecasting the vector-borne disease implications of water resources development.

  1989cited by this paper

• Prevalence, associated risk factors and molecular identification of urinary schistosomiasis among primary school pupils in Jama'are Local Government Area, Bauchi State, Nigeria

  2025cites this paper
• Impact of Praziquantel Mass Drug Administration on Schistosomiasis: A Comparison of Prevalence and Risk Factors Between Treated School Aged Children and Untreated Adults in Abuja, Nigeria

  2025cites this paper
• Malaria, urogenital schistosomiasis and co-infection and nutritional status of school children in Ondo state

  2025cites this paper
• Effects of Genetic polymorphism in susceptibility to schistosomiasis infection and adverse treatment outcomes

  2025cites this paper
• Prevalence and Associated Risk Factors of Urinary Schistosomiasis among Primary School Pupils in the Jidawa and Zobiya Communities of Jigawa State, Nigeria

  2022cites this paper
• Integrated control of river and pond water as an exposure source to urogenital schistosomiasis of rural inhabitants in southern Taraba State, Nigeria

  2021cites this paper
• Seasonal Pattern and Occurrence of Schistosoma haematobium Egg Excretion among Pregnant Women in Munyenge, South West Region, Cameroon

  2019cites this paper