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The role of water use patterns and sewage pollution in
incidence of water-borne/enteric diseases along the Ganges
River in Varanasi, India
STEVE HAMNER
1
, ANSHUMAN TRIPATHI
2
*, RAJESH KUMAR MISHRA
3
,
NIK BOUSKILL
1
, SUSAN C. BROADAWAY
1
, BARRY H. PYLE
1
,&
TIMOTHY E. FORD
1
1
Department of Microbiology, Montana State University, Bozeman, Montana, USA,
2
Banaras Hindu
University, Varanasi, India, and
3
Swatcha Ganga Research Laboratory, Sankat Mochan Foundation,
Varanasi, India
Abstract
In Varanasi, India, an estimated 200 million liters daily or more of untreated human sewage is
discharged into the Ganges River. River water monitoring over the past 12 years has demonstrated faecal
coliform counts up to 10
8
MPN (most probable number) per 100 ml and biological oxygen demand
levels averaging over 40 mg/l in the most polluted part of the river in Varanasi. A questionnaire-based
survey was used to estimate water-borne and enteric disease incidence and study river use among
resident users of the Ganges River in Varanasi. The overall rate of water-borne/enteric disease incidence,
including acute gastrointestinal disease, cholera, dysentery, hepatitis-A, and typhoid, was estimated to
be about 66% during the one-year period prior to the survey. Logistic regression analysis revealed
significant associations between water-borne/enteric disease occurrence and the use of the river for
bathing, laundry, washing eating utensils, and brushing teeth. Thirty-three cases of cholera were
identified among families exposed to washing clothing or bathing in the Ganges while no cholera cases
occurred in unexposed families. Other exposure factors such as lack of sewerage and toilets at residence,
children defecating outdoors, poor sanitation, low income and low education levels also showed
significant associations with enteric disease outcome. This study provides an estimate of water-borne/
enteric disease incidence and identifies possible risk factors for residents who live by and use the Ganges
River in Varanasi.
Keywords: Sewage pollution, water-borne disease, enteric disease, Ganges River, Varanasi
Introduction
Water-borne disease continues to pose a major threat to public health both in the developed
and developing world (Ford 1999). Isolated outbreaks of diarrhoeal disease still occur in
developed countries despite widespread employment of sewage collection and treatment
facilities and water treatment practices designed to insure safe water supplies (Ford & Colwell
Correspondence: Steve Hamner, Department of Microbiology, Montana State University, Bozeman Montana 59717, USA.
Tel: þ1 406 994 2903. Fax: þ1 406 994 4926. E-mail: steve_hamn@yahoo.com
*Current address: Wildlife Institute of India, Chandrabani, Dehradun, Uttranchal, 248001, India.
International Journal of Environmental Health Research
April 2006; 16(2): 113 – 132
ISSN 0960-3123 print/ISSN 1369-1619 online ª 2006 Taylor & Francis
DOI: 10.1080/09603120500538226
1996). The situation is more serious in the developing world. The World Health Report 2002
notes: ‘‘About 1.7 million deaths a year worldwide are attributed to unsafe water, sanitation
and hygiene, mainly through infectious diarrhoea. Nine out of ten such deaths are in children,
and virtually all of the deaths are in developing countries’’ (WHO 2002).
Collection and treatment of human sewage is an issue closely tied to the safety of water
supplies. When adequate sanitation is lacking, human faecal contamination of water transmits
micro-organisms that cause both diarrhoeal disease, including cholera, and equally dangerous
non-diarrhoeal diseases such as hepatitis A. Water-borne/enteric diseases can be spread
among a human population not only through water-borne transmission but also by a variety of
related means including the faecal-oral route and by direct human-to-human contact. The
cycle of transmission of water-borne disease can be broken through effective collection,
treatment, and disposal of sewage, and the provision of safe water supplies. According to
WHO estimates in 2002, about 2.6 billion, or 42%, of the world’s population lack improved
sanitation, and over one billion, or 17%, lack improved water supplies (WHO/UNICEF
2004). The WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation
defines ‘‘improved’’ sanitation as household connection to a public sewer or septic system, a
pour flush latrine, a simple pit latrine, or a ventilated improved pit latrine. The Joint
Monitoring Programme defines an ‘‘improved’’ water supply as ‘‘one that is likely to supply
safe water’’ not injurious to health, such as a household piped water connection, a borehole, a
protected dug well, a protected spring, or rainwater collection.
Representative of other urban populations in the developing world, residents of Varanasi,
a city of over one million people in north central India, still experience major public health
problems associated with sewage pollution of the Ganges River and local water supplies. In
1986, the Government of India launched a Ganga Action Plan (GAP) to deal with sewage
pollution of the Ganges River in Varanasi and a small number of other cities. What is now
known as Phase 1 of the GAP program was officially completed in 1993. At this time, a
non-governmental agency, the Sankat Mochan Foundation (SMF), established a testing
facility to begin monitoring the efficacy of the GAP as implemented in Varanasi. Testing of
such parameters as faecal coliform count (FCC) and biological oxygen demand
(BOD) revealed that the river continued to have extremely high levels of faecal bacteria
and organic waste. Visual observations indicated that untreated sewage continued to flow
freely into the Ganges River from a variety of sewer outfalls, open drains, ditches, and
other outlets, collectively referred to as point sources of pollution. Currently, there exist
more than two dozen of these point sources releasing untreated sewage into the river in
Varanasi.
In retrospect, many failures of the sewage collection and treatment program initiated under
the GAP can be identified. In Varanasi, an activated sludge process was adopted in the sewage
treatment plants built under the GAP. This process fails to directly control for faecal coliform
or pathogenic micro-organisms. Post-treatment effluent from the main sewage treatment
plant in Dinapur on the north (downstream) boundary of Varanasi has been passed on to
nearby villages for agricultural use as fertilizer. Unfortunately, the quality of this treated
effluent is such that the villagers receiving and using it have since seen their aquifers
contaminated and rendered unfit for use. Related health problems such as an increased
incidence of water-borne diseases now plague these village areas.
Under GAP, the Dinapur plant was designed with a sewage treatment capacity of 80
million liters daily (MLD). Two auxiliary plants located near Banaras Hindu University and
the Diesel Locomotive Works were built with a combined capacity of an additional 20 MLD.
In 1986, it was estimated that 130 MLD of sewage were being produced in Varanasi, leaving
30 MLD untreated under maximum operating capacity. According to a recent government
114 S. Ham ner et al.
statement (Uttar Pradesh Jal Nigam internet site 2005), the city’s sewage production is now
about 300 MLD, meaning that 200 MLD or more of raw untreated sewage currently enters
the Ganges River.
Both the sewage treatment plants and the pump stations built under GAP to collect and
divert sewage in Varanasi are dependent on electricity for their operation. Frequent power
outages often lasting for 12 hours a day or longer force these operations to a halt, despite a
contingency plan to use scarce fuel supplies to generate electricity at the plants and pump
stations. During the monsoon season, sump wells are flooded and the pumping stations are
shut down for 3 – 5 months of the year. The result is that no sewage is diverted by the
pump stations during this period. During electrical outages and monsoon shutdown of pump
stations, bypass vaults are opened to allow intercepted sewage to flow directly into the river. In
addition to specific features of the sewage collection and treatment scheme implemented
under GAP, leakage from aging and deteriorating sewer pipes is also of concern in Varanasi.
With recognition of the failure of the first phase of GAP, the Indian government has made a
commitment to implement a second phase of GAP to effectively deal with industrial and
urban pollution along the Ganges River. In the meantime, residents of Varanasi and other
cities along the river continue to be exposed to unsafe water and associated health risks. This
paper presents a summary and discussion of the SMF’s water quality data collected from
1993 – 2004, and results and analysis of a health survey conducted during February and
March 2004. The results of this study are presented with the hope that they will prove useful
to public health and public policy planners in Varanasi.
Methods
Water quality testing
Water quality has been monitored by the SMF’s Swatcha Ganga Research Laboratory
(SGRL) at several sites along a 7-km waterfront of the Ganges River in Varanasi since 1993.
Data for two locations, Tulsi Ghat located on the southern waterfront of the Ganges in
Varanasi and the confluence of the Varuna and Ganges rivers at the northern boundary of the
city (Figure 1), are presented. (Note: The word ‘‘Ghat’’ appears in several of the riverside
place names and locales in Varanasi mentioned in this manuscript, and refers to the presence
of ‘‘stairs’’ or ‘‘steps’’ that lead from nearby temples directly down to the Ganges River.)
Among the monitoring sites, water testing has been performed most consistently at Tulsi
Ghat. The SMF office and water testing laboratory are located at Tulsi Ghat, which has
allowed for regular testing during adverse weather conditions such as the monsoon season, or
when boat transportation to other test sites is otherwise unavailable. A total of 1642
measurements of BOD and 1577 measurements of FCC were made at Tulsi Ghat beginning
January 1993 through March 2004. A total of 217 measurements of BOD and 219
measurements of FCC were completed at the Varuna-Ganges confluence site beginning May
1995 through March 2004. Although the data set is less complete, the data for the Varuna-
Ganges site is noteworthy due to the Varuna River’s location on the northern downstream
boundary of Varanasi. The Varuna River serves as a major receptacle for the city’s sewage and
the confluence of the two rivers has the highest recorded FCC and BOD levels and lowest
dissolved oxygen levels of any other test sites during the period that the Ganges has been
monitored by the SMF.
Parameters measured by SGRL staff included temperature, pH, total dissolved solids
(TDS), turbidity, dissolved oxygen (DO), biological oxygen demand (BOD) and faecal
coliform count (FCC). Water was generally sampled at the same time each morning at about
Water-borne diseases along the Ganges River 115
8 am. Procedures described in Standard Methods for the Examination of Water and
Wastewater (APHA 1992) were followed for collection and analysis of water samples. Data
was entered into a spreadsheet program (Microsoft Excel 2004 for Mac) for graph preparation
and analysis.
In addition to sampling and testing at sites normally monitored by the SMF, water samples
were collected at locations along the Ganges River close to the health survey sites of Gola
Ghat and Sarai Mohana on April 16, 2004. Testing at these additional sites was performed to
provide water quality data for sites where cases of cholera were detected in the course of
conducting the health survey. Water quality testing of these samples was performed by the
SGRL in Varanasi.
Health survey
A survey of resident users of the Ganges River in Varanasi was conducted from February 25 to
March 24, 2004. Many of the questions asked in the present study were taken from a
questionnaire used in a previously published study of enteric disease risks in Hyderabad City,
Figure 1. Map of Varanasi, showing the locations of the health survey sites of Tulsi Ghat, Dashaswamedh Ghat, Gola
Ghat, and Sarai Mohana. The distance between Tulsi Ghat and Sarai Mohana is about 7 km.
116 S. Ham ner et al.
India in 1996 (Mohanty et al. 2002). The questionnaire was refined to address specific issues
of interest in Varanasi such as sewage pollution of the Ganges River and local residents’
regular use of the river for religious bathing, drinking, regular bathing, laundry, recreation and
other activities. The questionnaire was also designed to reflect a cultural sensitivity for local
residents’ view of the river as a sacred entity with great significance to followers of the Hindu
religion. The questionnaire was reviewed and approved by the Institutional Review Board at
Montana State University. Informed consent was obtained with each respondent signing a
Subject Consent Form. The head of a family was interviewed and asked to provide
information for all members of the household. Four sites were chosen for the survey
(Figure 1). Two of these sites are major areas of religious bathing activity (Tulsi Ghat and
Dashaswamedh Ghat) and have been routinely monitored for water quality testing by the
SGRL. Because of the relatively small number of religious bathers directly at Tulsi Ghat,
other bathers and regular users of the river (e.g., laundrymen and fishermen) within a few
hundred yards upstream and downstream of Tulsi Ghat were also interviewed. All family
heads surveyed at Tulsi Ghat or Dashaswamedh Ghat were confirmed to be residents of those
locales. A third survey site (Gola Ghat) is a few hundred meters downstream of another major
religious bathing site (Panch Ganga Ghat) monitored by the SGRL. The neighborhood
surveyed at Gola Ghat is adjacent to a major pump station for the collection and diversion of
sewage. A fourth survey site (Sarai Mohana) lies directly downstream of the Varuna-Ganges
confluence that is also monitored by the SGRL. For the two religious bathing sites of Tulsi
Ghat and Dashaswamedh Ghat, religious bathers or other users of the river were approached
and questioned directly on the river bank. For the neighborhood of Gola Ghat, residents were
interviewed at their home sites. In Sarai Mohana, residents were interviewed in a small
neighborhood office. At least 25 surveys were conducted for each of these four sites for a total
of 104 interviews.
The survey questionnaire was designed to collect information as follows:
(1) To obtain an estimate of the occurrence of water-borne/enteric diseases including acute
gastrointestinal infections (AGI), cholera, dysentery, hepatitis A, and typhoid. Details of
occurrence of medically diagnosed and undiagnosed AGI for the previous 12-month
period were obtained. Details of occurrence of medically diagnosed cases of cholera,
dysentery, hepatitis A, and typhoid for the previous 12 months were also gathered. It was
established during the first three interviews at Gola Ghat that several child and infant
deaths due to cholera had occurred; therefore, all details of occurrence of medically
diagnosed cholera and deaths from cholera were collected regardless of timeframe in
order to learn more about the long-term incidence of cholera in the community.
Information on hospitals, clinics, or physicians visited was recorded. A copy of the full
questionnaire can be obtained from the authors.
(2) Exposure risk factors, including: availability of toilet facilities and use practices, bathing
practices, source of household water, water treatment and storage practices in the home,
household connection to a sewage collection line or septic tank, laundry practices,
kitchen utensil cleaning practices and cleaning agents used, children’s play areas,
conditions of the sewer and sewerage structures surrounding the household, condition
of the water used in the household, personal use of the Ganges River, eating habits, and
food storage practices.
(3) Socio-economic indicators such as education, occupation, and monthly income.
Survey data was compiled into an Excel spreadsheet and logistic regression analysis
performed using the Minitab Statistical Software program (version 14). The dependent
Water-borne diseases along the Ganges River 117
variable of disease outcome was expressed as the number of members in a family affected by
any water-borne disease out of total members in each family, or by number in a family
afflicted by a given disease such as AGI, dysentery or cholera out of total number in the
family. Independent variables tested included household sewer connection, household water
quality, socio-economic indicators such as literacy and income levels, and various behavioral
practices.
Relative disease risk for an exposure factor is calculated using the formula:
r ¼ p
e
=p
u
where p
e
¼ number of exposed people with disease/total number exposed and p
u
¼ number of
unexposed people with disease/total number unexposed (Collett 1992).
Logistic regression analysis provides a calculation of the odds ratio (OR), which is the odds
of disease in exposed people divided by the odds of disease in unexposed people. Closely
related to relative risk, OR provides another measure of the association between disease
outcome and an exposure factor. OR is calculated by the formula:
c ¼
p
e
=ð1 p
e
Þ
p
u
=ð1 p
u
Þ
OR is also represented by the formula:
c ¼
n
11
=n
12
n
21
=n
22
where n
11
¼ number of exposed people with disease, n
12
¼ number of exposed people without
disease, n
21
¼ number of unexposed people with disease, and n
22
¼ number of unexposed
people without disease.
Where the denominator is equal to zero because of no cases of disease existing among
unexposed people, an estimate of OR is made possible by adding 0.5 to each number or cell of
a26 2 contingency table (Fleiss 1986). The formula for OR is modified as follows:
c ¼
ðn
11
þ 0:5Þ = ðn
12
þ 0:5Þ
ðn
21
þ 0:5Þ = ðn
22
þ 0:5Þ
Results
Ganges river water quality in Varanasi
Scatter plots of water parameter test data for the years 1993 – 2004 were plotted for the Tulsi
Ghat monitoring site (BOD and FCC data are shown in Figures 2 and 3, respectively; other
graphs are not shown due to limited relevance to the water-borne disease study). One feature
readily identified in these graphs is a periodicity in the data. For example, an annual cycle is
noted for water temperature values that coincides with seasonal weather cycles, with water
temperatures peaking in the summer months and reaching their lowest values during winter
months. For the BOD in Figure 2, and FCC in Figure 3 (and for the pH, TDS, and
DO – data not shown), a common periodicity is revealed with low values for all these
parameter measurements generally occurring during late July through mid-September after
the monsoon rains and associated flooding have commenced.
As can be seen in Figures 4 and 5, and in the summary data in Table I, average BOD and
FCC values are much higher at the confluence of the Varuna and Ganges Rivers, with average
118 S. Ham ner et al.
BOD for the Varuna-Ganges site (41.6 mg/l) being 10 times higher than at Tulsi Ghat
(3.9 mg/l), and the average FCC at the Varuna-Ganges site (2.0 6 10
7
MPN per 100 ml)
being three orders of magnitude greater than at Tulsi Ghat (4.2 6 10
4
MPN per 100 ml).
Results of water testing for all health survey sites performed on April 16, 2004 (Table II) also
indicated a generally high level of sewage pollution of the Ganges River in Varanasi.
Figure 2. Biological oxygen demand measurements, Tulsi Ghat, 1993 – 2004.
Figure 3. Faecal coliform count measurements, Tulsi Ghat, 1993 – 2004.
Water-borne diseases along the Ganges River 119
Figure 4. Biological oxygen demand measurements, Varuna-Ganges confluence, 1995 – 2004.
Figure 5. Faecal coliform count measurements, Varuna-Ganges confluence, 1995 – 2004.
Health survey results
Data for the 104 family heads interviewed, representing a total of 636 family members, and
numbers reported to be affected with various water-borne/enteric diseases are summarized in
120 S. Ham ner et al.
Table III and Figure 6. Residents of both Gola Ghat and Sarai Mohana had more than double
the incidence of total water-borne/enteric disease and of AGI and about double the incidence
of dysentery during the previous 12 months before the interviews were conducted than did
local residents using the Ganges River at Tulsi and Dashaswamedh Ghats. Several cases of
cholera and deaths from cholera (Table III) were reported in both Gola Ghat and Sarai
Mohana, but not among resident users at the other two ghats. In Table III, cholera cases in
which the patient survived are reported for the 12-month period preceding the interview as is
reported for the other diseases. All cholera deaths reported during the interviews are included
in a separate row in Table III. Cholera deaths were reported to have occurred as recently as
two months before and as long ago as seven years before the survey, indicating the long-term
persistence of this disease in these neighborhoods. No deaths from any of the other water-
borne or enteric diseases being screened for were reported.
Survey data that showed strong associations with disease outcome when later tested by
logistic regression analysis are summarized by survey site in Tables IV to VII. Summaries of
monthly salary figures (Table IV) and education levels for all families interviewed (Table V)
are suggestive of a lower standard of living for the residents of Gola Ghat and Sarai Mohana
compared to resident users of the other two ghat areas. United Nations (http://www.un.org/
millenniumgoals/) and World Bank (http://ddp-ext.worldbank.org/ext/MDG/gdmis.do)
documents define ‘‘extreme poverty’’ as an individual subsisting on less than $1 US per
day. A study specific to India (Dhongde 2003) cites a poverty line figure of 454 rupees per
month below which an individual would be considered to live in poverty. Based on either of
Table I. Water quality parameter measurements for the Ganges River sampled at Tulsi Ghat and the Varuna-Ganges
confluence (values given are the arithmetic means with standard deviations in parentheses for all data gathered 1993 –
2004 at Tulsi Ghat and for 1995 – 2004 for the Varuna-Ganges confluence).
Parameter Tulsi Ghat Varuna-Ganges confluence
Water temperature (8C) 25.3 (3.8) 25.3 (4.3)
Total dissolved solids (mg/l) 200 (75) 358 (74)
pH 7.9 (0.4) 8.0 (0.2)
Turbidity (NTU) 318 (421) 105 (123)
Dissolved oxygen (mg/l) 6.8 (1.4) 5.1 (1.4)
Biological oxygen demand (mg/l) 3.9 (2.0) 41.6 (16.0)
Faecal coliform count (per 100 ml) 4.2 6 10
4
(3.2 6 10
4
) 2.0 6 10
7
(5.5 6 10
7
)
Table II. Water quality parameter measurements for Ganges River sites, April 16, 2004; sampling and testing for the
river sites of Gola Ghat and Sarai Mohana were performed on this date after several cases of cholera were identified at
these residential areas.
Parameter
Tulsi
Ghat
Dashaswamedh Ghat
(Rajendra Prasad)
Gola
Ghat
Varuna-Ganges
Confluence
Sarai
Mohana
Water temperature (8C) 30 30 30.5 30.5 30.5
Total dissolved solids (mg/l) 350 380 350 350 360
pH 8.1 8.0 8.0 7.8 8.0
Turbidity (NTU) 48 29 19 38 89
Dissolved oxygen (mg/l) 5.3 4.9 5.6 4.3 3.4
Biological oxygen demand (mg/l) 9.0 6.4 4.3 64 32
Faecal coliform count (per 100 ml) 6.2 6 10
5
1.2 6 10
6
4.2 6 10
4
6.4 6 10
8
6.2 6 10
5
Water-borne diseases along the Ganges River 121
these figures, most of the families of Gola Ghat and Sarai Mohana are considered to be living
in poverty.
Selected behavioral practices of respondents that might adversely affect personal or family
health are summarized in Table VI. Table VII summarizes residential status regarding
sewerage and water quality for each neighborhood. Water quality was scored as ‘‘bad’’ based
Table III. Water-borne disease incidence at four locations on the Ganges River in Varanasi – survey conducted March
to April 2004.
Number Tulsi Ghat Dashaswamedh Ghat Gola Ghat Sarai Mohana
Total families 25 25 29 25
Living family members 178 136 174 148
Any water-borne/enteric disease 68 (38%) 50 (37%) 147 (84%) 137 (93%)
AGI cases 68 (38%) 41 (30%) 140 (80%) 134 (91%)
Cholera cases 0 0 14 (8%) 19 (13%)
Cholera deaths 0 0 7 6
Dysentery cases 28 (16%) 31 (23%) 97 (56%) 50 (34%)
Hepatitis A cases 0 3 (2%) 4 (2%) 2 (1%)
Typhoid cases 0 1 (1%) 2 (1%) 0
Percentage values represent number of people afflicted with a given disease during the previous 12 months out of
total living family members. Cholera deaths occurred as recently as 2 months before the survey up to 7 years before
the survey. Data for cholera deaths is included to highlight the importance and long-term impact of this disease.
No deaths were reported due to any of the other diseases surveyed for. AGI was defined as any occurrence of the
following symptoms, either diagnosed medically or undiagnosed: Diarrhoea, liquid stools with mucus and/or blood,
intestinal or stomach pain and cramps, or any combination of such symptoms, which lasted for at least one day
after being symptom-free for at least two weeks. Cases of cholera, dysentery, hepatitis A, and typhoid were only
counted if medically diagnosed.
Figure 6. Water-borne disease incidence reported in the Varanasi neighborhoods of Tulsi Ghat, Dashaswamedh
Ghat, Gola Ghat, and Sarai Mohana.
122 S. Ham ner et al.
Table IV. Monthly income levels of families at four locations on the Ganges River in Varanasi. ($1 US ¼ 47 Rupees in
February 2004.)
Monthly income in Rupees Tulsi Ghat Dashaswamedh Ghat Gola Ghat Sarai Mohana
51000 1 0 7 13
1001 – 3000 10 1 18 9
3001 – 5000 4 5 3 0
5001 – 7000 2 7 0 0
7001 – 9000 2 3 0 0
49000 6 7 0 0
No response 0 2 1 3
Total families 25 25 29 25
United Nations/World Bank documents generally define anyone subsisting on less than $1 US per day as living in
extreme poverty. A study by Dhongde (2003) cites a poverty line of 454 rupees per month for individuals living
in urban areas of India such as Varanasi, a figure that is about one-third the United Nations value. By either of
these definitions, families with two or more members with total income of less than 1000 rupees per month are
considered to be living in poverty.
Table V. Education levels of families at four locations on the Ganges River in Varanasi.
Highest education level
attained by household head(s)
Tulsi
Ghat
Dashaswamedh
Ghat
Gola
Ghat
Sarai
Mohana
Illiterate/no formal education 7 3 14 21
Primary 7 4 7 3
Matric (high school) 5 7 8 1
College graduate 4 5 0 0
Postgraduate 2 6 0 0
Total families 25 25 29 25
Table VI. Some behavioral practices of respondents which might affect health outcome of other family members.
Number of respondents who Tulsi Ghat Dashaswamedh Ghat Gola Ghat Sarai Mohana
Wash family clothing in Ganges River 10 0 28 24
Wash eating utensils in Ganges River 1 0 7 9
Clean eating utensils using mud 2 6 11 20
Total families 25 25 29 25
Table VII. Residential conditions which might directly affect health of all family members. Water quality was scored
as ‘‘bad’’ based on responses that residential water was colored, smelled bad, tasted bad, or contained particle matter
such as silt. In the Gola Ghat neighborhood, residents also noted that water obtained from a community well
contained threadlike worms.
Residential conditions Tulsi Ghat Dashaswamedh Ghat Gola Ghat Sarai Mohana
No sewerage 0 0 9 25
Water quality is bad 14 12 27 20
Total residences 25 25 29 25
Water-borne diseases along the Ganges River 123
on responses that residential water was colored, smelled bad, tasted bad, contained particle
matter such as silt, and in the Gola Ghat neighborhood, contained threadlike worms (not
collected for speciation).
Logistic regression analysis
Binary logistic regression analysis was carried out to determine which independent variables
were associated with disease outcome. Since data for exposure or risk factors was gathered
from family heads and not from each member of a family individually, each member of a given
family was deemed to share the same exposures as all other members of the family.
Accordingly, in setting up logistic regression, the dependent variable of disease occurrence
was expressed as the ratio of successes out of trials representing the occurrence of a given
disease among members of each family. The results of binary logistic regression analysis are
presented in Tables VIII to XI.
Only risk factors and their ORs with a lower limit of the 95% confidence interval (CI)
greater than 2.0 are listed. Exposure factors associated with disease outcome included use of
the Ganges River and its water for personal bathing, brushing teeth, washing of personal and
family clothing, and washing dishes and kitchen utensils. OR values in the range of 3 – 5 were
calculated for these exposure factors related to activity in the Ganges River. In the case of
cholera incidence and its association with washing laundry or bathing in the Ganges River, an
OR could not be calculated due to there having been no cases of cholera among families who
did not wash laundry or bathe in the river (the formula for calculating OR would have a
denominator value of zero in these cases). The 33 cases of cholera occurring in the previous
year were exclusively in families who did wash laundry in the river or who bathed in the river,
indicating a very strong association (see Tables XI, XII and XIII). Adding 0.5 to each cell in
the 2 6 2 tables shown in Tables XII and XIII allows for calculations of ORs for these
scenarios. The estimated ORs of 31 and 26 indicate strong associations between cholera and
the exposure risks of washing laundry and bathing in the river.
Table VIII. Odds ratio calculations from binary logistic regression analysis for the outcome ‘‘any water-borne/enteric
disease, family total’’.
Predictor Odds Ratio p value 95% CI lower – upper
No sewerage/no septic tank 13.37 50.001 7.39 – 24.20
Children defecate outside home 12.75 50.001 7.67 – 21.20
No bathroom or WC in home 9.46 50.001 6.05 – 14.78
Worms in well water 7.92 50.001 4.05 – 15.50
Monthly income 51000 Rupees 7.32 50.001 3.31 – 16.17
Wash dishes/utensils in Ganges 5.05 50.001 2.95 – 8.66
Monthly income 53000 Rupees 4.94 50.001 3.48 – 7.01
Regular bathing in Ganges 4.72 50.001 3.24 – 6.88
Children bathed outside home 4.66 50.001 3.30 – 6.60
Utensils cleaned out on road 4.38 50.001 2.05 – 9.38
Teeth brushed using Ganges water 4.21 50.001 2.94 – 6.03
Utensils cleaned in front of home 3.13 50.001 2.20 – 4.65
Utensils cleaned using mud 3.12 50.001 2.14 – 4.55
Laundry washed in Ganges 3.02 50.001 2.13 – 4.28
Wash hands using mud after using WC 2.93 50.001 2.01 – 4.28
Illiterate head(s) of household 2.91 50.001 2.05 – 4.13
124 S. Ham ner et al.
Other predictors directly related to lack of residential sewerage were also identified,
including: lack of a sewer system or sewage disposal for the residence, lack of residential toilet,
or children being sent outdoors to defecate due to lack of a residential toilet. OR values
ranging from 8 – 14 were calculated for occurrence of all water-borne/enteric disease, AGI
and cholera for exposure to these related risk indicators. Socio-economic indicators such as
Table IX. Odds ratio calculations from binary logistic regression analysis for the outcome ‘‘AGI, family total’’.
Predictor Odds Ratio p value 95% CI lower – upper
Children defecate outside home 10.68 50.001 6.70 – 17.01
No sewerage/no septic tank 8.81 50.001 5.35 – 14.51
No bathroom or WC in home 7.74 50.001 5.12 – 11.70
Worms in well water 6.40 50.001 3.50 – 11.69
Utensils cleaned out on road 4.82 50.001 2.25 – 10.31
Children bathed outside home 4.72 50.001 3.34 – 6.67
Monthly income 51000 Rupees 4.71 50.001 2.44 – 9.09
Monthly income 53000 Rupees 4.59 50.001 3.26 – 6.47
Regular bathing in Ganges 4.27 50.001 2.94 – 6.22
Teeth brushed using Ganges water 3.76 50.001 2.66 – 5.33
Wash dishes/utensils in Ganges 3.74 50.001 2.31 – 6.07
Utensils cleaned using mud 3.06 50.001 2.11 – 4.43
Utensils cleaned in front of home 2.99 50.001 2.12 – 4.22
Laundry washed in Ganges 2.88 50.001 2.04 – 4.07
Illiterate head(s) of household 2.87 50.001 2.04 – 4.05
Table X. Odds ratio calculations from binary logistic regression analysis for the outcome ‘‘dysentery, family total’’.
Predictor Odds Ratio p value 95% CI lower – upper
Worms in well water 9.47 50.001 5.96 – 15.05
Utensils cleaned out on road 8.25 50.001 4.49 – 15.17
Residential water not always clean 4.45 50.001 2.86 – 3.92
Regular bathing in Ganges 3.31 50.001 2.09 – 5.24
Monthly income 53000 Rupees 2.91 50.001 2.04 – 4.15
Table XI. Odds ratio calculations from binary logistic regression analysis for the outcome ‘‘cholera, family total’’.
Predictor Odds Ratio p value 95% CI lower – upper
Laundry washed in Ganges 31** *
Regular bathing in Ganges 26** *
No bathroom or WC in home 12.62 50.001 4.38 – 36.37
No sewerage/no septic tank 8.30 50.001 3.67 – 18.76
Monthly income 53000 Rupees 6.94 50.001 2.41 – 19.99
Wash dishes/utensils in Ganges 4.56 50.001 2.24 – 9.29
Monthly income 51000 Rupees 4.42 50.001 2.08 – 9.38
Children defecate outside home 4.34 50.001 2.03 – 9.28
*Odds ratio calculations for the exposure factors of washing laundry in the Ganges or bathing in the Ganges are not
readily possible since no cases of cholera were identified in families not exposed to either of these factors. Since 33
cases of cholera were identified among family members who wash laundry in the Ganges or bathe in the river, the
association between occurrence of cholera and these exposure risks is high. See Tables XII and XIII for additional
information about these two risk factors and how OR calculations were made possible.
Water-borne diseases along the Ganges River 125
low monthly income and illiteracy among household heads also showed association with
disease outcome.
As a follow-up to logistic regression analysis, relative disease risks for cholera, AGI, and all
water-borne/enteric diseases were calculated for people lacking residential sewerage
(Table XIV). For cholera, a relative risk value of 7.35 was calculated for exposure risk of
‘‘no sewerage’’ which is in close accord with the OR value of 8.30 obtained by binary logistic
regression analysis. Relative risk values of 1.87 and 1.85 were calculated for AGI and all
water-borne/enteric disease respectively for exposure risk of ‘‘no sewerage.’’
Discussion
According to a government report (Ministry of Environment and Forest, Government of
India, Annual Report 2002 – 2003), the goals of GAP phase 1 were to improve the water
quality of the Ganges River so that BOD would not exceed 3 mg/l and FCC would not exceed
2,500 MPN per 100 ml. According to this same report, the National River Conservation
Directorate (NRDC) of the Government of India adopted standards in the year 2000 for
‘‘river water quality bathing class’’ rivers such as the Ganges of a maximum permissible FCC
level of 2500 MPN per 100 ml, but a ‘‘desirable’’ level of no more than 500 MPN per
100 ml. The NRDC standards adopted in 2000 also include a maximum permissible level of
BOD in treated wastewater of 30 mg/l.
Sargaonkar and Deshpande (2003) have reviewed water quality criteria and standards
adopted by various international agencies, including the European Community (EC) and the
WHO, and compared them with standards adopted by the Central Pollution Control Board in
India in an attempt to create a general classification scheme for surface water quality in India.
Under their proposed classification, BOD levels greater than 24 mg/l or total coliform count
greater than 10,000 MPN/100 ml are indicative of heavily polluted water. The EC standards
include a maximum admissible level of BOD of 6 mg/l for recreational use and a maximum
admissible level total coliform count of 10,000 MPN/100 ml (or 2,000 MPN/100 ml for
faecal coliform) for bathing waters.
Table XII. 2 6 2 contingency table showing incidence of cholera for those exposed and unexposed to washing laundry
in the Ganges.
Cases of cholera Not diseased
Exposed to washing laundry in Ganges 33 412
Unexposed 0 191
An odds ratio cannot be calculated for this case due to the value of zero for cases of cholera in the unexposed popu-
lation. If 0.5 is added to each cell in the table to allow for computation, an odds ratio of 31 is obtained.
Table XIII. 2 6 2 contingency table showing incidence of cholera for those exposed and unexposed to bathing in the
Ganges.
Cases of cholera Not diseased
Exposed to regular bathing in Ganges 33 433
Unexposed 0 170
An odds ratio cannot be calculated for this case due to the value of zero for cases of cholera in the unexposed popu-
lation. If 0.5 is added to each cell in the table to allow for computation, an odds ratio of 26 is obtained.
126 S. Ham ner et al.
Table XIV. Calculations of relative disease risk for cholera, AGI, or any water-borne/enteric disease surveyed for with exposure to ‘‘no sewerage’’ at residence.
25 people with cholera, exposed to
‘‘no sewerage’’
25/190 ¼ 0.1316 ¼ p
e
(incidence rate of cholera for those
exposed to ‘‘no sewerage’’)
¼ p
e
/p
u
¼ 7.35 (relative disease risk for
cholera with exposure to ‘‘no sewerage’’)
190 people total, exposed to ‘‘no sewerage’’
8 people with cholera, unexposed 8/446 ¼ 0.0179 ¼ p
u
(incidence rate of cholera for those unexposed)
446 people total, unexposed
170 people with AGI, exposed to
‘‘no sewerage’’
170/190 ¼ 0.8947 ¼ p
e
(incidence rate of AGI for those
exposed to ‘‘no sewerage’’)
¼ p
e
/p
u
¼ 1.87 (relative disease risk for
AGI with exposure to ‘‘no sewerage’’)
190 people total, exposed to ‘‘no sewerage’’
213 people with AGI, unexposed 211/446 ¼ 0.4776 ¼ p
u
(incidence rate of AGI for those unexposed)
446 people total, unexposed
177 people with water-borne/enteric disease,
exposed to ‘‘no sewerage’’
177/190 ¼ 0.9316 ¼ p
e
(incidence rate of water-borne/enteric
disease for those exposed to ‘‘no sewerage’’)
¼ p
e
/p
u
¼ 1.85 (relative disease risk for all
water-borne/enteric diseases surveyed for
with exposure to ‘‘no sewerage’’)190 people total, exposed to ‘‘no sewerage’’
225 people with water-borne/enteric disease,
unexposed
225/446 ¼ 0.5045 ¼ p
u
(incidence rate of water-borne/enteric
disease for those unexposed)
446 people total, unexposed
Water-borne diseases along the Ganges River 127
Water quality testing performed by the SGRL over the past 12 years has shown that the
Ganges River in Varanasi is seriously polluted. Average BOD levels in excess of 40 mg/l and
average FCC levels in excess of 10
7
MPN/100 ml for the most polluted parts of the Ganges
River, and especially around its confluence with the Varuna River, greatly exceed water
quality standards adopted by either international or Indian government agencies. Untreated
human waste continues to flow into the river at more than 2 dozen discharge points despite a
great expenditure of money and resources by the Indian government under its Ganga Action
Plan to collect and divert sewage from entering the river.
A seasonal decrease in FCC levels for the Ganges River in Varanasi was noted to occur
during the monsoon rains. Minimum flow rates of about 120 meters per second occur during
the dry season. During the monsoon season, flow rates increase to about 40,000 cubic meters
per second. Monsoon flooding greatly increases the volume of water flowing in the Ganges
River, diluting the amount of sewage and the number of sewage-associated faecal coliform
bacteria present in the river. Unfortunately, as noted earlier, the annual monsoon floods cause
problems with the sewage treatment system in Varanasi. Flooding of sump pumps forces the
sewage pump system, including the pump station at Gola Ghat, to be closed down. Several
residents of Gola Ghat also noted that the sewers present in their neighborhood become
flooded during monsoon and release raw sewage directly into the footpaths and walkways
surrounding their homes.
Sewage pollution of the Ganges River in Varanasi is not an isolated case; cities both large
and small lying along the entire length of the river face similar sewage pollution issues. For
example, Bilgrami and Kumar (1998) tested Ganges River water at multiple sites in
Bhagalpur, a city of about 400,000 residents in north-east India where untreated waste is also
released into the river. They found high concentrations of faecal streptococci (up to
4,450 MPN/100 ml), E. coli (up to 3.15 6 10
5
MPN/100 ml) and Clostridium perfringens (up
to 3.5 6 10
4
MPN/100 ml) in the river. Other microbes identified in their study and posing a
significant health risk included species of Salmonella and Shigella.
This pilot study demonstrates a very high incidence of water-borne disease among residents
of Varanasi who rely on the Ganges River for a variety of daily needs and activities. Depending
on the survey site, total water-borne disease incidence over the past year was determined to
range from almost 40% upwards to over 90%, with an overall incidence of 66% (Table III).
The high incidence of disease identified in Varanasi is similar to that established during a
study in Hyderabad in 1996 (Mohanty et al. 2002) where community incidence rates for
water-borne enteric disease were found to be some 200-fold higher than estimates calculated
from hospital surveillance data. Even these high incidence rates established through survey are
likely to underestimate the true incidence of disease due to recall bias.
A consideration of population immunity and susceptibility is relevant to the incidence of
water-borne disease seen in Varanasi or Hyderabad, or to any population in the developing
world. Residents of Varanasi are likely to be exposed to a greater variety of water-borne
bacterial and viral pathogens than are people in more economically developed countries. As a
result, they might be expected to develop a relatively strong immunity to water-borne disease
agents. However, residents of Varanasi or Hyderabad still show a relatively high incidence of
water-borne disease, presumably due to persistent exposure to a greater variety of water-borne
disease agents, and because of exposure to a number of other factors including environmental
pollutants and malnutrition which would render them more susceptible to disease (Ford &
Colwell 1996).
Logistic regression analysis indicates that personal use of the Ganges River including
washing laundry and kitchen utensils, brushing teeth, and bathing in the river have strong
associations with disease outcome. Activity in the river can be expected to expose users
128 S. Ham ner et al.
directly to bacteria and infectious agents present due to the regular and widespread discharge
of untreated sewage into the river. Users in turn carry home washed clothing and utensils
which are an exposure risk for other family members. Users of the Ganges may become sick
with water-borne disease and in turn transmit the disease to other family members living in
close quarters.
Logistic regression analysis also indicated that variables such as lack of residential sewerage
and toilets, children having to defecate outside due to lack of residential sewerage and toilets,
well water visibly contaminated with worms (in Gola Ghat), socio-economic indicators such
as very low wages and lack of education, and poor residential water quality are predictors for
water-borne disease.
Relative disease risk was also calculated for the exposure risk of ‘‘no sewerage’’ as a
predictor for cholera, AGI, and all water-borne/enteric disease. Since the incidence of cholera
was low among residents having access to sewerage, the calculated values for relative disease
risk (7.35) and OR (8.30) would be expected to be close, which was found to be the case. The
relative disease risk values calculated for AGI (1.87) and all water-borne/enteric disease (1.85)
are much lower than their related OR values of 8.81 and 13.37, respectively. This is to be
expected since the background incidence rates were already high among those who did have
access to sewerage (48% for AGI and 50% for all water-borne/enteric disease) and could only
double at most. Accordingly, the relative risk values for AGI and all water-borne/enteric
disease are quite significant for disease outcome among residents lacking sewerage.
It should be noted that the results of logistic regression analysis or calculation of relative risk
for a given exposure factor do not establish a cause-and-effect relationship between risk
factors and disease, but do identify an association between the dependent variable (health
outcome) and the predictors (exposure or risk factors) such as activity in the Ganges River or
lack of sewerage.
In describing the statistical associations between various risk factors and disease outcome,
and in identifying specific risk factors such as personal use of the Ganges River, lack of sewer
connections or septic tanks, lack of toilet facilities, and behavioral practices related to lack of
bathrooms and toilets in the home, it cannot be stressed too highly how closely related all of
these factors are to each other and to the overriding theme of sewage contamination. To
conclude that one of these factors is a stronger predictor than another risks ignoring the
interrelatedness of all of these factors.
The original aim of the health survey was to focus on how residents of Varanasi use the
Ganges River and to estimate the incidence of specific enteric diseases that could be
transmitted by river water. These goals were formulated in recognition of the highly polluted
status of the Ganges River and the important role that the river plays in the daily life of many
residents of the city. In carrying out the survey, data was also gathered on the sanitation status
of residents’ home living conditions. The data collected clearly indicate that lack of sewerage
and toilet facilities and resultant behavioral practices such as children defecating outdoors
contribute to the occurrence of enteric disease. It is readily acknowledged that the water-
borne diseases surveyed for are not generally specific to water (Ford 1999). Clearly, a faecal-
oral mode of disease transmission and person-to-person transmission are contributing to the
occurrence of disease identified in this study. Reflecting the primary goals with which the
study was undertaken, ‘‘water-borne/enteric disease’’ is referred to with the understanding
that other modes of transmission are contributing to disease occurrence.
Behavioral practices related to use of the Ganges River such as cleaning laundry in, bathing
in and drinking from the river are all factors that may account for the high background
incidence of water-borne/enteric disease even among those residents who do have sewage
connections in their homes and who enjoy a relatively high standard of living in Varanasi.
Water-borne diseases along the Ganges River 129
Resident users of the river interviewed at Tulsi Ghat and Dashaswamedh Ghat were better
educated, better off in terms of average monthly income and typically reported having sewer
connections at their homes. These residents still had an overall incidence of water-borne
disease of 37 – 38%. This rate of disease more than doubled among residents of the Gola Ghat
and Sarai Mohana neighborhoods where in addition to regular use of the river, residents were
also likely to lack sewerage and toilet facilities in their homes.
In the two very poor neighborhoods of Gola Ghat and Sarai Mohana, additional risks could
be identified. The neighborhood of Gola Ghat has a well that was constructed in early 2002,
operated by hand pump, which is a primary water supply for many of the residents
interviewed. Nineteen out of 29 family heads interviewed reported that water from this well
regularly contained threadlike worms. This exposure factor showed a strong association with
occurrence of water-borne disease and more specifically AGI and dysentery. Residents
continue to use this well water since their only alternative would be to collect water from the
nearby Ganges River or to obtain and carry water from a piped source further away from their
residential area. In addition to having limited access to piped water treated at the city’s water
treatment plant, residents of Gola Ghat live close to a major sewage pump station that is
reported to have leaking sewer pipe connections and that is currently the site of major
construction and renovation of sewer lines.
Residents of Sarai Mohana lack both sewerage and any piped (treated) water supply.
Residents generally reported using water from hand pump-operated bore wells drilled in their
neighborhood. Water from these pumps was reported to be of poor quality; that is, the water
smelled bad and was often colored. It is quite possible that these wells draw from a water table
that is itself contaminated by the section of the Ganges River having the highest level of
sewage-related pollution. In speaking with a local social worker about simple measures that
could be taken to improve water safety for local residents, the principal author was told that
residents of Sarai Mohana are too poor to be able to use wood, a scarce and expensive
commodity, for boiling water, and are too overwhelmed with a sense of hopelessness from
living in extreme poverty that they cannot even think of filtering water through inexpensive
sari cloth. This simple and inexpensive practice of filtering water through cloth is used by
many in India to remove aggregates of plankton harboring cholera bacteria from river water
before the water is used for drinking or for cooking. A recent study (Colwell et al. 2003) has
shown that incidence of cholera can be reduced by about one-half through using such a
simple filtration procedure.
If the neighborhoods of Gola Ghat and Sarai Mohana are representative of other poorer
sections of the city, the residents of Varanasi neighborhoods characterized by lack of sewerage,
limited or no access to municipal water supply, low income level, and low education level
appear to be most at risk for water-borne disease. In this study, the overall rates of water-
borne disease were 84% and 93% in Gola Ghat and Sarai Mohana, respectively, compared to
overall rates of 37 – 38% among the relatively more affluent residents interviewed at Tulsi
Ghat and Dashaswamedh Ghat, whose homes had toilets and access to sewerage. Due to the
relative lack of bathrooms, toilets, and sewerage compared to residents of Tulsi and
Dashaswamedh Ghats, the poorer residents of Gola Ghat and Sarai Mohana depend on the
polluted Ganges River itself as a source of water for routine bathing and personal hygiene, and
the washing of laundry and utensils.
Conclusion
This study’s compilation of over 10 years’ worth of water quality data collected by the SGRL
reveals the high level of sewage pollution of the Ganges River in Varanasi. The health survey
130 S. Ham ner et al.
demonstrates strong association between personal use of the Ganges River in Varanasi with
water-borne disease incidence. A number of factors closely related to river pollution and
linked to the problem of sewage contamination are also shown to be strong predictors for
water-borne disease. Identification of these interrelated factors provides the basis for a more
comprehensive study of risk factors related to water-borne disease and water quality in
Varanasi.
This study should suggest to public health and government planners the crucial importance
of alleviating pollution of the Ganges River by providing adequate collection and treatment of
sewage for all residents of Varanasi to break the cycle of sewage contamination and water-
borne diseases. Interim measures that might be considered for reduction of river-related
disease occurrence include the banning of bathing or washing laundry. Such measures are
unlikely to be popular or enforceable due to the important role of the Ganges River in the
religious life of India (many residents and pilgrims perform religious bathing and wash
personal clothing at the same time), and due to there being no readily available alternative
sources of water for many of the poorest residents of Varanasi living near the river who depend
on river water for daily needs. In the very poorest neighborhoods of Varanasi, the interim
provision of community toilets might prove effective in reducing faecal-oral transmission of
enteric disease provided that residents could be persuaded to use such facilities and that the
waste could be treated on-site or transported for treatment.
In Varanasi, if the cycle of water-borne disease is to be prevented and if the Ganges River is
to be restored to an unpolluted condition, effective city-wide collection and treatment of
sewage is essential.
Acknowledgeme nts
This research and publication were made possible in part by a travel grant award
from the NSF EPSCoR program of Montana State University, and by NIH Grant
Number P20 RR-16455-03 from the BRIN Program of the National Center for Research
Resources.
Steve Hamner wishes to thank Dr Veer Bhadra Mishra and all members of the SMF in
Varanasi, and Francis Peavey and Catherine Porter of the San Francisco-based Friends of the
Ganges for their encouragement and support for completion of the health survey and data
analysis. The contributions of the SGRL of the SMF in gathering and sharing 12 years of
water quality data are gratefully acknowledged.
Dr Martin Hamilton, Professor of Statistics at Montana State University, provided
invaluable advice for applying logistic regression analysis to the health survey data.
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