Literature DB >> 2706728

Water availability and trachoma.

S West, M Lynch, V Turner, B Munoz, P Rapoza, B B Mmbaga, H R Taylor.   

Abstract

As part of an epidemiological survey of risk factors for trachoma in 20 villages in the United Republic of Tanzania, we investigated the relationship of village water pumps, distance to water source, and quantity of household water to the risk of inflammatory trachoma. We also evaluated whether there was an association between the cleanliness of children's faces and these water variables. No association was found between the presence of a village water supply and the prevalence of trachoma. However, the risk of trachoma in the household increased with the distance to a water source--although there was no association with the estimated daily amount of water brought into the house. Likewise, children were more likely to have unclean faces if they lived more than 30 minutes from a water source, but whether they had clean faces was not associated with the daily quantity of water brought into the household. The effect of the distance to water supply on trachoma may well reflect the value placed on water within the family, and this determines the priority for its use for hygiene purposes. The results of the study suggest that changing the access to water per se may be insufficient to alter the prevalence of trachoma without also a concomitant effort to change the perception of how water should be utilized in the home.

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Year:  1989        PMID: 2706728      PMCID: PMC2491213     

Source DB:  PubMed          Journal:  Bull World Health Organ        ISSN: 0042-9686            Impact factor:   9.408


  9 in total

1.  A simple system for the assessment of trachoma and its complications.

Authors:  B Thylefors; C R Dawson; B R Jones; S K West; H R Taylor
Journal:  Bull World Health Organ       Date:  1987       Impact factor: 9.408

2.  Sampling studies on the epidemiology and control of trachoma in southern Morocco.

Authors:  K Kupka; B Nizetic; J Reinhards
Journal:  Bull World Health Organ       Date:  1968       Impact factor: 9.408

3.  The relationship between trachoma and piped water in a developing area.

Authors:  C L Marshall
Journal:  Arch Environ Health       Date:  1968-08

4.  Measuring the impact of water supply and sanitation investments on diarrhoeal diseases: problems of methodology.

Authors:  D Blum; R G Feachem
Journal:  Int J Epidemiol       Date:  1983-09       Impact factor: 7.196

5.  Multivariate methods in ophthalmology with application to other paired-data situations.

Authors:  B Rosner
Journal:  Biometrics       Date:  1984-12       Impact factor: 2.571

6.  Trachoma: 1985 update in Western Australia.

Authors:  R L Cooper; D Coid; I J Constable
Journal:  Aust N Z J Ophthalmol       Date:  1986-11

7.  Water use and health in Mueda, Mozambique.

Authors:  S Cairncross; J L Cliff
Journal:  Trans R Soc Trop Med Hyg       Date:  1987       Impact factor: 2.184

8.  Use of local variations in trachoma endemicity in depicting interplay between socio-economic conditions and disease.

Authors:  F A Assaad; F Maxwell-Lyons; T Sundaresan
Journal:  Bull World Health Organ       Date:  1969       Impact factor: 9.408

9.  Development of trachoma control programs and the involvement of national resources.

Authors:  B Thylefors
Journal:  Rev Infect Dis       Date:  1985 Nov-Dec
  9 in total
  34 in total

Review 1.  Environmental sanitary interventions for preventing active trachoma.

Authors:  Mansur Rabiu; Mahmoud B Alhassan; Henry O D Ejere; Jennifer R Evans
Journal:  Cochrane Database Syst Rev       Date:  2012-02-15

2.  Prevalence and causes of vision loss in central Tanzania.

Authors:  P A Rapoza; S K West; S J Katala; H R Taylor
Journal:  Int Ophthalmol       Date:  1991-03       Impact factor: 2.031

3.  The household distribution of trachoma in a Tanzanian village: an application of GIS to the study of trachoma.

Authors:  S R Polack; A W Solomon; N D E Alexander; P A Massae; S Safari; J F Shao; A Foster; D C Mabey
Journal:  Trans R Soc Trop Med Hyg       Date:  2005-03       Impact factor: 2.184

4.  Prevalence and risk factors for trachoma in Sarlahi district, Nepal.

Authors:  J Katz; K P West; S K Khatry; S C LeClerq; E K Pradhan; M D Thapa; S Ram Shrestha; H R Taylor
Journal:  Br J Ophthalmol       Date:  1996-12       Impact factor: 4.638

5.  Distance to water source and altitude in relation to active trachoma in Rombo district, Tanzania.

Authors:  R F Baggaley; A W Solomon; H Kuper; S Polack; P A Massae; J Kelly; S Safari; N D E Alexander; P Courtright; A Foster; D C Mabey
Journal:  Trop Med Int Health       Date:  2006-02       Impact factor: 2.622

6.  Targeting trachoma control through risk mapping: the example of Southern Sudan.

Authors:  Archie C A Clements; Lucia W Kur; Gideon Gatpan; Jeremiah M Ngondi; Paul M Emerson; Mounir Lado; Anthony Sabasio; Jan H Kolaczinski
Journal:  PLoS Negl Trop Dis       Date:  2010-08-17

7.  The Influence of Contextual and Psychosocial Factors on Handwashing.

Authors:  Elisabeth Seimetz; Anne-Marie Boyayo; Hans-Joachim Mosler
Journal:  Am J Trop Med Hyg       Date:  2016-05-02       Impact factor: 2.345

8.  The relationship between prevalence of active trachoma, water availability and its use in a Tanzanian village.

Authors:  Sarah Polack; Hannah Kuper; Anthony W Solomon; Patrick A Massae; Carolina Abuelo; Ewen Cameron; Vivian Valdmanis; Michael Mahande; Allen Foster; David Mabey
Journal:  Trans R Soc Trop Med Hyg       Date:  2006-03-20       Impact factor: 2.184

9.  Active trachoma among children in Mali: Clustering and environmental risk factors.

Authors:  Mathieu Hägi; Jean-François Schémann; Frédéric Mauny; Germain Momo; Doulaye Sacko; Lamine Traoré; Denis Malvy; Jean-François Viel
Journal:  PLoS Negl Trop Dis       Date:  2010-01-19

10.  Access to water source, latrine facilities and other risk factors of active trachoma in Ankober, Ethiopia.

Authors:  Ilya Golovaty; Larissa Jones; Bizu Gelaye; Melkie Tilahun; Habtamu Belete; Abera Kumie; Yemane Berhane; Michelle A Williams
Journal:  PLoS One       Date:  2009-08-20       Impact factor: 3.240

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