- Research article
- Open Access
- Open Peer Review
Public perception of drinking water safety in South Africa 2002–2009: a repeated cross-sectional study
© Wright et al.; licensee BioMed Central Ltd. 2012
- Received: 20 March 2012
- Accepted: 13 July 2012
- Published: 27 July 2012
In low and middle income countries, public perceptions of drinking water safety are relevant to promotion of household water treatment and to household choices over drinking water sources. However, most studies of this topic have been cross-sectional and not considered temporal variation in drinking water safety perceptions. The objective of this study is to explore trends in perceived drinking water safety in South Africa and its association with disease outbreaks, water supply and household characteristics.
This repeated cross-sectional study draws on General Household Surveys from 2002–2009, a series of annual nationally representative surveys of South African households, which include a question about perceived drinking water safety. Trends in responses to this question were examined from 2002–2009 in relation to reported cholera cases. The relationship between perceived drinking water safety and organoleptic qualities of drinking water, supply characteristics, and socio-economic and demographic household characteristics was explored in 2002 and 2008 using hierarchical stepwise logistic regression.
The results suggest that perceived drinking water safety has remained relatively stable over time in South Africa, once the expansion of improved supplies is controlled for. A large cholera outbreak in 2000–02 had no apparent effect on public perception of drinking water safety in 2002. Perceived drinking water safety is primarily related to water taste, odour, and clarity rather than socio-economic or demographic characteristics.
This suggests that household perceptions of drinking water safety in South Africa follow similar patterns to those observed in studies in developed countries. The stability over time in public perception of drinking water safety is particularly surprising, given the large cholera outbreak that took place at the start of this period.
- Household survey
- Water safety
- Drinking water
- Water quality
- Consumer perception
- South Africa
The general public have long been recognised as an important stakeholder in the management of drinking water supplies . Public acceptability of drinking water forms part of the World Health Organization’s Guidelines for Drinking Water Quality , which incorporates guidelines on consumer acceptability of taste, colour and odour. In developed countries, studies of drinking water safety perception have been particularly focused around bottled water consumption [3, 4], private supplies  and trust in municipal water , desalinated water  and recycled water [7, 8]. In developing countries, such studies have examined water safety perceptions in relation to home water treatment uptake [9, 10], such as household filtration or chlorination. A study of Sri Lankan households, for example, found that a higher perceived contamination risk increased the probability of households boiling or filtering drinking water . Where households have a choice of several different water sources (e.g. boreholes versus vended water), perceived drinking water safety may influence source choice  and thereby the financial sustainability of water services through tariff recovery.
More recently, information has been recognised as an intervention that can shape public perceptions of drinking water safety, both in South Africa and elsewhere. Where water quality is poor, the release of water quality information to consumers may help to promote home water treatment  or use of safer source types, and potentially promote public pressure on suppliers to improve service quality. Where water quality is acceptable, releasing water quality information may potentially help reassure consumers and improve customer relations. Experimental evidence suggests that information provision to consumers may alter their perception of recycled drinking water safety , although there is weaker evidence for households switching sources after being provided with information about arsenic or microbiological water contamination .
In South Africa, government initiated a Blue Drop scheme in 2009 , which uses media releases to inform the public about the water quality-related performance of Water Service Providers and Authorities. Such releases are made through various media channels (e.g. ). Rand Water, a contracted water service provider, also has a public outreach programme that involves schools outreach, a web site (http://www.reservoir.co.za), call centre, and a volunteer household water testing programme. In the latter Tap Analysis Programme, householders can volunteer to test their own tapwater using easy-to-use kits and then receive individualised results once samples have been processed by an appropriate laboratory .
In both developed and developing countries, most studies of public drinking water safety perceptions have been cross-sectional in nature [19, 20] and have often focused on small groups of consumers [21, 22]. This raises the question as to whether public perceptions of drinking water safety remain constant over time or whether they fluctuate in response to health promotion campaigns, initiatives like the Blue Drop scheme, or events such as water-borne disease outbreaks. In this study, our objective is to assess the trends in the public perception of drinking water safety over time, by drawing on a series of nationally representative studies conducted in a middle income country, South Africa.
The General Household Survey (GHS) is a nationally representative survey that has taken place every July in South Africa since 2002. The survey acts as a replacement for the earlier October Household Survey, which ran from 1993 to 1999 . Data can be downloaded for research purposes from the South African Data Archive (http://www.nrf.ac.za/sada/). The content of the survey is decided by an inter-ministerial panel and consists of a core set of questions administered every year, together with themed questions that vary from one year to the next. In each year from 2002 until 2009, with the exception of 2004, there have been questions relating to drinking water safety, clarity, odour, and taste. In particular, the survey included the question ‘Is the water from the main source of drinking water safe to drink?’, which was not included in the earlier October Household Survey. In most years, there have also been questions relating to drinking water treatment. The survey typically comprises around 25,000 households each year and rather than following the same households over time, a new set of households is recruited each year of the survey.
The survey is designed to provide representative estimates of household characteristics at national and provincial level, but not for smaller geographic units. The geography of the survey has varied in line with administrative reforms within South Africa. For 2002 and 2003, magisterial districts (of which there were 367 nationally) are the smallest geographical units to which data can be related. 331 of these magisterial districts were sampled in the 2003 GHS. In later years (2005–2007), survey households can be related to the newer administrative geography of South Africa (4 Metropolitan and 48 District municipalities).
Trends in perceived drinking water safety
We examined trends in the overall proportion of the South African population who felt their water was safe between 2002 and 2009. Since the proportion of households using unsafe sources such as streams / rivers in the GHS has fallen over time  in line with South African’s water service delivery programme, we also examined these trends separately for the types of water source in most widespread use.
Since South Africa is known to have experienced at least one cholera outbreak immediately before the study period, which took place in 2000–02 and particularly affected KwaZulu-Natal , we also obtained annual statistics on cholera cases reported by South Africa from the World Health Organization’s Weekly Epidemiological Record[25, 26].
Modelling perception of drinking water safety
We examined the following possible groups of water service characteristics that could account for households perceiving their drinking water as unsafe (in descending order of likely importance, following ):
Water taste, colour and odour: Previous studies of bottled water use by consumers in developed countries have found such organoleptic water characteristics to be important , whilst in India, rural respondents cited clarity, lack of odours, and an unsalty taste as being characteristics of safe water .
Water supply type: Water supply type provides contextual grounds for households to assess drinking water safety, as evidenced by respondents reported in Banda et al. (2007) who considered boreholes to be associated with safe water. We therefore distinguished piped supplies from boreholes, rainwater and tanked water, and surface waters, springs and wells by grouping together the relevant GHS source types. Since perceived control of supply systems has sometimes also been associated with water safety , we further distinguished public / communal taps and neighbours’ taps from piped water on a household’s premises.
Water interruptions: These provide a further contextual indicator of drinking water safety and there is some evidence from South Africa that dissatisfaction with supply interruptions could extend to other aspects of service delivery such as water quality .
We also examined several groups of household characteristics that could be associated with perceived drinking water safety (again in descending order of importance):
Information deprivation: Since there is some evidence that complaints to South African water providers increase in response to media coverage of the water sector , we examined information access in shaping perceptions of drinking water safety. Gordon et al.  have developed a composite measure of information deprivation, which is based on access to newspapers, radio, television, and telephone, and we used a similar metric here, counting the number of such information sources a household had access to.
Residence in a cholera-affected province: The South African government initiated public health campaigns to promote home water treatment in cholera-affected areas , which may have raised awareness of unsafe drinking water. We therefore examined residence in a cholera-affected province as a possible influence on perceived drinking water safety. Over 97% of the 17,902 cholera cases reported between August 2001 and July 2002 (the date of the GHS) were in KwaZulu-Natal and Eastern Cape Provinces , so we generated a dummy variable to represent these provinces. Although a cholera outbreak also took place in 2008 centred on Limpopo and Mpumulanga Provinces, cases were only reported in November and December, after the GHS took place in July . We therefore did not use a provincial dummy variable in this year.
Household expenditure: As a measure of socio-economic status, we focused on household expenditure rather than income, since such measures are much more reliable and are easier to collect than income, especially in most rural settings .
Ethnicity, educational level, and gender of household head: Ethnicity was considered fundamental by Maharaj and Pietersen  when consulting South Africa’s population over water sector policy, whilst Anderson et al.  found attitudes to water pollution varied between African and other ethnic groups in South Africa. Pradhan  describes the proportion of households linking contaminated water with disease as varying by educational level and gender, independent of ethnicity.
We hypothesised that socio-economic and demographic characteristics would be weakly associated with drinking water safety perceptions, following evidence from developed countries .
The relationship between perceived drinking water safety and the set of explanatory variables was modelled using logistic regression (in Stata version 11: svy: logit) for two survey years, namely 2002 and 2008. These years were chosen as being far apart, yet having sufficiently similar questionnaire content to enable a comparable analysis to be undertaken. For both years, backwards hierarchical stepwise regression  was used to examine the contribution of each group of covariates above, beginning with those of hypothesised lowest importance. Each group’s significance was examined via a Wald test and discarded if non-significant at the 99% level. Individual covariates within retained groups were subsequently tested in the same way.
Pooling data from all survey years proved problematic because of changes in sample weight construction after 2007 and minor changes in the wording of smell and water clarity questions after 2004. Nonetheless, we were able to pool the survey data into three periods for 2002–3, 2005–7, and 2008–9. To test for inter-year differences in perceived drinking water safety, we fitted a logistic regression that included source type, organoleptics, and yearly dummy variables as covariates to these pooled data sets.
Trends in public perceptions of drinking water safety
Factors influencing perceived drinking water safety
Summary of household and water supply characteristics from the 2002 and 2008 general household surveys
Percentage of households (observations unweighted to adjust for sample design)
Water supply characteristics
Water free from odours
Water tastes good
Private piped supply
Public or communal taps / neighbour’s piped supply
Rainwater or water carrier
Other sources (e.g. river, stream, dam, well, spring)
Household head male
Household head ethnic group:
Indian or Asian
Household head educational level
Attended primary education
Attended secondary education or higher
Household monthly expenditure
(South African Rand)
400 – 799
800 – 1199
1200 – 1800
1800 – 2500
2500 – 5000
5000 – 10000
Odds ratios from a logistic hierarchical stepwise regression model, predicting perceived drinking water safety from water supply and household characteristics (based on 26,076 households in the 2002 and 24,056 households in the 2008 general household survey)
Water tastes good
Water free from odours
Rainwater or tanker water
Other non-piped water sources (i.e. wells, rivers, dams, springs, stream, etc.)
Water clear and free from odours
Clear water from other non-piped sources
Water from other non-piped sources tastes good
Water from other non-piped sources free from odours
Head of household ethnicity - coloured
Public or neighbour’s tap
Relationship between perceived drinking water safety and water supply characteristics, 2008 (as predicted by the final logistic regression model)
Free from odour
% Households perceiving water safe
Other (i.e. surface waters, Wells, and springs)
Other (i.e. surface waters, Wells, and springs)
Other (i.e. surface waters, Wells, and springs)
rain / tanker water
When a logistic regression model was fitted to pooled data for 2002–3 combined, 2005–7 combined, and 2008–9 combined, there was no evidence for yearly differences in perceived drinking water safety within these periods (T = 1.33, p = 0.18 for the dummy variable representing 2009; T = −0.41 p = 0.68 for 2007, T = −0.67; p = 0.51 for 2006; T = 0.66 p = 0.51 for 2003).
Although there have been a number of large-scale studies of public perceptions of drinking water safety in developed countries, this issue has been less widely studied in low and middle income countries, often through smaller scale studies . This study focused on a large-scale multi-year data set for South Africa, a middle income country but one with high levels of inequality. It confirms the finding from high income countries that consumers predominantly respond to organoleptic signs of contamination in their perception of drinking water safety, with socio-economic and demographic characteristics being comparatively less important. This is consistent with findings in other middle income countries, notably an urban Ukrainian population, which rated drinking water safety as fair to unsafe and also rated organoleptic properties as fair to poor .
Of the socio-economic and demographic characteristics considered, only ethnicity was included in the final model from the 2002 General Household Survey (Table 2). Despite the high levels of inequality, there was no evidence here that perception of drinking water safety differed by socio-economic status as measured through household expenditure. Of the three organoleptic properties, clarity and taste appeared more important than odour (Tables 2 and 3). However, despite this strong relationship, the link between organoleptic properties and perceived drinking water safety is likely to be complex. In a survey of tap water consumers in Cape Town, for example, nine out of 21 respondents complaining of poor taste cited too much chlorine as the cause . Similarly, five out of nine respondents (in formal residential areas) detecting an odour attributed this to chlorine.
There was some evidence that contextual clues – most notably the source type – were linked to perceived drinking water safety. There was also some evidence for a link between perceived control over water supplies and their perceived safety. In particular, in 2002, tapwater users relying on a public or neighbour’s tap were less likely to consider their water safe.
There has similarly been relatively little work exploring the change in consumer perceptions of drinking water safety over time. After controlling for the expansion in improved water supply access over the study period through the pooled survey data analysis, household perceptions of drinking water safety appear stable over time, although small changes in perceptions would be difficult to detect because of survey sampling errors. There was however an increase in the small number of consumers with water piped into the dwelling, who considered their water unsafe between 2003 and 2009 (Figure 1). A slight decline in such piped water that was free from organoleptic signs of contamination over this period is likely to account for the apparent trend in this group. This finding is perhaps unexpected, given the widespread cholera outbreak that affected South Africa in 2000–02 (Figure 5) and the link between prior history of water-borne disease and perceived drinking water safety . Elsewhere, a seasonal increase in household water treatment has been noted in Madagascar in response to a perceived increase in cholera risk , but there was no such discernible link here. This was despite a ministry of health campaign using radio, television and pamphlets warning of unsafe sources .
Other recent studies have used the GHS to examine other aspects of drinking and water resource management. The 2004 GHS has previously been used to explore attitudes towards environmental water pollution and uptake of home water treatment . Similarly, the 2002 GHS has been used to assess characteristics of households lacking access to safe water  as well as patterns of water supply cut-offs . Given that home water treatment involves households taking action to reduce consumption of unsafe water, this may provide additional insights into perceived drinking water safety.
In theory, it would be possible to compare the perceived safety of different source types with scientific measures of water quality from monitoring systems and other surveys of water supplies. Examples of such data include that published under the Blue Drop scheme  and earlier reports such as MacIntosh and Colvin  for groundwater or Ehlers et al.  for bottled water. However, such comparisons are likely to be problematic and were not attempted here because:
Many potential sources of water quality data are not restricted to the point-of-use, but also entail sampling of untreated source water or water within distribution systems.
Professional assessments of drinking water safety often rely on both testing of multiple water quality parameters and sanitary risk inspection. However, many data sources only include a subset of these parameters and may omit risk inspections altogether. Not only is there a problem of partial coverage of drinking water safety parameters in some data sets, but finding an appropriate way of integrating these measurements into a single composite metric of water safety (for example, by choosing the lowest water safety band across all measured parameters) is also potentially difficult.
Whilst there are monitoring systems and sample surveys available, few are designed to provide nationally or provincially representative estimates.
Since consumer perception of drinking water safety seems largely dependent on the organoleptic properties of water supplies, this implies that information about water quality disseminated through the media (such as through the South African Blue Drop reports) may not alter public opinion on safe water greatly. However, although the perceptions of the general public may be relatively intransigent, such campaigns may still be successful in mobilising specific community activists, consumer groups and in motivating water sector professionals to improve on service levels.
Because the study relied on a secondary data set, a number of potentially important influences on perceived drinking water safety were omitted from this analysis. Such influences include trust in water providers like municipalities; information exchange with neighbours and other contacts; previous experience of water borne diseases such as cholera; recent changes in the nature of drinking water provision; and household perceptions of risk . Unlike some other studies , we did not attempt to model the multiple inter-dependencies between potential influences on perceived drinking water safety, such as taste, clarity and source type. The potential for response bias  arising from the interaction between interviewer and interviewee in such government-sponsored surveys is also well documented, though the direction of any bias is unclear in the GHS. Although the surveys analysed covered many households, because of their inherent design, we were limited in our ability to identify specific locations where confidence in supplies was low, disaggregate results for specific source types, or detect slight changes in perceived water safety over time. More generally, the survey is useful for understanding general changes in public confidence in water supplies over time, but less useful in understanding the perceptions of specific sub-groups of the population who may be particularly important in holding service providers to account.
It is unclear how far South African media coverage of the water sector may have varied over the period of study or whether the relatively stable consumer perception of drinking water safety mirrors media coverage over the period. However, it seems likely that the cholera outbreak of 2000–02 in particular would have attracted substantial  media attention. However, media reports related to the water sector and outbreaks of diseases such as cholera require further investigation. There may also be scope in future research to examine specific sub-groups of the population such as those complaining directly to utilities  or awareness of specific campaigns to disseminate water quality information, such as the Blue Drop initiative.
This study suggests public perceptions of drinking water safety in South Africa have remained remarkably consistent over the period 2002–09. An apparent increase in perceived drinking water safety was accounted for by greater improved supply coverage and associated improvements in water taste, odour and clarity. The consistency over time in perceived drinking water safety is particularly remarkable, given a large cholera outbreak in 2000–2002. Water clarity, odour, and taste were strongly associated with perceived drinking water safety in both 2002 and 2008. As with many studies conducted in high income countries, few socio-economic household characteristics were associated with perceived drinking water safety.
Recently, the South Africa government has publicly released water quality management information, hoping to trigger greater consumer pressure on suppliers to improve services. Given that historically public perception of drinking water safety has remained stable, it remains to be seen whether such information dissemination will result in greater pressure from either the public or consumer groups for better water services.
This research has been funded by the Bill & Melinda Gates Foundation, under grant reference 48599 (‘Aquatest 2: Delivery a low cost water test for developing countries’) to the University of Bristol. We are very grateful to the South African Data Archive for supplying the data for the analysis. Statistics South Africa (Stats SA) are the originators of the household survey data used. However, the analysis was conducted independently by the authors, with whom responsibility rests for any errors in data processing and analysis.
- Doria MD: Factors influencing public perception of drinking water quality. Water Policy. 2010, 12: 1-19.View ArticleGoogle Scholar
- WHO: Guidelines for Drinking-Water Quality. 2011, World Health Organization, Geneva, 4Google Scholar
- Anadu EC, Harding AK: Risk perception and bottled water use. J Am Water Works Ass. 2000, 92: 82-92.Google Scholar
- Doria MF: Bottled water versus tap water: understanding consumers' preferences. J Water Health. 2006, 4: 271-276.PubMedGoogle Scholar
- Jones AQ, Dewey CE, Dore K, Majowicz SE, Mcewen SA, Waltner-Toews D, Henson SJ, Mathews E: Public perception of drinking water from private water supplies: focus group analyses. Bmc Public Health. 2005, 5: 129-10.1186/1471-2458-5-129.View ArticlePubMedPubMed CentralGoogle Scholar
- Turgeon S, Rodriguez MJ, Theriault M, Levallois P: Perception of drinking water in the Quebec City region (Canada): the influence of water quality and consumer location in the distribution system. J Environ Manage. 2004, 70: 363-373. 10.1016/j.jenvman.2003.12.014.View ArticlePubMedGoogle Scholar
- Dolnicar S, Schafer AI: Desalinated versus recycled water: Public perceptions and profiles of the accepters. J Environ Manage. 2009, 90: 888-900. 10.1016/j.jenvman.2008.02.003.View ArticlePubMedGoogle Scholar
- Hurlimann A, Hemphill E, Mckay J, Geursen G: Establishing components of community satisfaction with recycled water use through a structural equation model. J Environ Manage. 2008, 88: 1221-1232. 10.1016/j.jenvman.2007.06.002.View ArticlePubMedGoogle Scholar
- Anderson BA, Romani JH, Phillips H, Wentzel M, Tlabela K: Exploring environmental perceptions, behaviors and awareness: water and water pollution in South Africa. Popul Environ. 2007, 28: 133-161. 10.1007/s11111-007-0038-5.View ArticleGoogle Scholar
- Jalan J, Somanathan E, Choudhuri S: Awareness and the demand for environmental quality: drinking water in urban India. 2003, Indian Statistical Institute, New Delhi, IndiaGoogle Scholar
- Nauges C, van den Berg C: Perception of health risk and averting behavior: An analysis of household water consumption in Southwest Sri Lanka. 2006, LERNA, Toulouse, FranceGoogle Scholar
- Nauges C, Whittington D: Estimation of water demand in developing countries: An overview. World Bank Res Obser. 2010, 25: 263-294. 10.1093/wbro/lkp016.View ArticleGoogle Scholar
- Jalan J, Somanathan E: The importance of being informed: Experimental evidence on demand for environmental quality. J Dev Econ. 2008, 87: 14-28. 10.1016/j.jdeveco.2007.10.002.View ArticleGoogle Scholar
- Dolnicar S, Hurlimann A, Nghiem LD: The effect of information on public acceptance - The case of water from alternative sources. J Environ Manage. 2010, 91: 1288-1293. 10.1016/j.jenvman.2010.02.003.View ArticlePubMedGoogle Scholar
- Lucas PJ, Cabral C, Colford JM: Dissemination of drinking water contamination data to consumers: A systematic review of impact on consumer behaviors. PLoS ONE. 2011, 6: e2098-View ArticleGoogle Scholar
- Department of Water and Environmental Affairs: Blue Drop Report 2009 Version 1. 2009, South African Drinking Water Quality Management Performance, Pretoria, South AfricaGoogle Scholar
- IOLNEWS: Ficksburg water earns Blue Drop status. [http://www.iol.co.za/news/south-africa/ficksburg-water-earns-blue-drop-status-1.1141490]
- Lubout R: Water Institute of South Africa 2nd Drinking Water Quality Conference. Promoting drinking water quality awareness: lessons learnt. 2009, Port Elizabeth, South Africa, 11-13.Google Scholar
- Biswas AK, Jayatilaka R, Tortajada C: Social perceptions of the impacts of Colombo water supply projects. AMBIO. 2005, 34: 639-644.View ArticlePubMedGoogle Scholar
- Davis J, Whittington D: Challenges for water sector reform in transition economies. Water Policy. 2004, 6: 381-395.Google Scholar
- Banda K, Sarkar R, Gopal S, Govindarajan J, Harijan BB, Jeyakumar MB, Mitta P, Sadanala ME, Selwyn T, Suresh CR, Thomas VA, Devadason P, Kumar R, Selvapandian D, Kang G, Balraj V: Water handling, sanitation and defecation practices in rural southern India: a knowledge, attitudes and practices study. T Roy Soc Trop Med H. 2007, 101: 1124-1130. 10.1016/j.trstmh.2007.05.004.View ArticleGoogle Scholar
- Hoko Z: An assessment of the water quality of drinking water in rural districts in Zimbabwe. The case of Gokwe South, Nkayi, Lupane, and Mwenezi districts. Phys Chem Earth. 2005, 30: 859-866. 10.1016/j.pce.2005.08.031.View ArticleGoogle Scholar
- Anderson BA, Nhlapo MS: Changes in standard of living among population groups in South Africa: 1998–2006. 2008, University of Michigan Population Studies Center, Ann Arbor, MIGoogle Scholar
- Mendelsohn J, Dawson T: Climate and cholera in KwaZulu-Natal, South Africa: The role of environmental factors and implications for epidemic preparedness. Int J Hyg Envir Heal. 2008, 211: 156-162. 10.1016/j.ijheh.2006.12.002.View ArticleGoogle Scholar
- WHO: Weekly epidemiological record: cholera articles. [http://www.who.int/cholera/statistics/en/index.html]
- WHO: Cholera surveillance and number of cases. [http://www.who.int/topics/cholera/surveillance/en/index.html]
- Doria MD, Pidgeon N, Hunter PR: Perceptions of drinking water quality and risk and its effect on behaviour: A cross-national study. Sci Total Environ. 2009, 407: 5455-5464. 10.1016/j.scitotenv.2009.06.031.View ArticleGoogle Scholar
- Syme GJ, Williams KD: The psychology of drinking-water quality : An exploratory study. Water Resour Res. 1993, 29: 4003-4010. 10.1029/93WR01933.View ArticleGoogle Scholar
- Hemson D, Owusu-Amponah K: South African social attitudes: changing times, diverse voices. The vexed question: interruptions, cut-offs and water services in South Africa. Edited by: Pillay U, Roberts B, Rule SP. 2006, Human Sciences Research Council Press, Cape Town, South Africa, 150-175.Google Scholar
- Gordon D: Child poverty in the developing world. 2003, The Policy Press, Bristol, UKGoogle Scholar
- UNICEF: Immediate needs of children and women affected by the cholera outbreak. 2008, UNICEF South Africa, PretoriaGoogle Scholar
- Health System Trust: Reported cases of cholera.Google Scholar
- Archer BN, Cengimbo A, De Jong GM, Keddy KH, Smith AM, Sooka A, Ntshoe G, Blumberg L: Cholera outbreak in South Africa: preliminary descriptive epidemiology on laboratory-confirmed cases, 15 November 2008 to 30 April 2009. Comm Dis Surveill Bull. 2009, 7: 3-8.Google Scholar
- Filmer D, Pritchett LH: Estimating wealth effects without expenditure data - Or tears: An application to educational enrollments in states of India. Demography. 2001, 38: 115-132.PubMedGoogle Scholar
- Maharaj V, Pietersen T: Consulting south Africa's diverse population about the country's proposed national water resource strategy. Water SA. 2004, 30: 673-680.Google Scholar
- Pradhan B: Rural communities' perception on water quality and water borne disease: the case of Bungamati Village Development Committee in Kathmandu Valley, Nepal. J Nepal Health Res Coun. 2004, 2: 1-7.Google Scholar
- Petrocelli JV: Hierarchical multiple regression in counseling research: Common problems and possible remedies. Meas Eval Couns Dev. 2003, 36: 9-22.Google Scholar
- Water Services City of Cape Town: Customer Perception Survey. 2007, [http://www.capetown.gov.za/en/Water/Pages/WaterConsumptionSurvey2007.aspx]Google Scholar
- Dunston C, McAfee D, Kaiser R, Rakotoarison D, Rambeloson L, Hoang AT, Quick RE: Collaboration, cholera, and cyclones: A project to improve point-of-use water quality in Madagascar. Am J Public Health. 2001, 91: 1574-1576. 10.2105/AJPH.91.10.1574.View ArticlePubMedPubMed CentralGoogle Scholar
- Echenberg M: Africa in the time of cholera: a history of pandemics from 1817 to the present. 2011, Cambridge University Press, New YorkView ArticleGoogle Scholar
- Dungumaro EW: Socioeconomic differentials and availability of domestic water in South Africa. Phys Chem Earth. 2007, 32: 1141-1147. 10.1016/j.pce.2007.07.006.View ArticleGoogle Scholar
- Mackintosh G, Colvin C: Failure of rural schemes in South Africa to provide potable water. Environ Geol. 2003, 44: 101-105.Google Scholar
- Ehlers MM, van Zyl WB, Pavlov DN, Muller EE: Random survey of the microbial quality of bottled water in South Africa. Water SA. 2004, 30: 203-210.View ArticleGoogle Scholar
- Bulmer M: Social research in developing countries: Surveys and censuses in the Third World. Interviewing and field organization. Edited by: Bulmer M, Warwick DP. 1993, Wiley & Sons Ltd, London, 205-218.Google Scholar
- Weir E, Haider S: Cholera outbreaks continue. Can Med Assoc J. 2004, 170: 1092-1093. 10.1503/cmaj.1040287.View ArticleGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/12/556/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.