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| ABSTRACT |
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| INTRODUCTION |
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Flooding has been shown to cause epidemics of water-borne and vector-borne disease.2 Water-borne outbreaks of diarrheal illness after floods are thought to result primarily from contamination of water caused by disruption of water purification and sewage disposal systems. However, it has been hypothesized that the secondary effects of flooding, including crowding and subsequent fecal-oral spread of gastrointestinal pathogens, may also contribute to spread of diarrheal diseases.3,4
Flood-related diarrheal epidemics cause significant morbidity and mortality in Bangladesh and throughout the world.5 During the 1988 flood in Bangladesh, diarrheal disease was responsible for 35% of all flood-related illness and 27% of 154 flood-related deaths in a population of more than 45,000 patients in rural Bangladesh.6 During the 1998 flood period, 25% of 3,109 people surveyed in two rural areas of Bangladesh reported diarrheal illness.4
Despite the public health consequences of flood-related diarrheal epidemics, few studies have characterized the microbiologic characteristics of these events in Bangladesh. One study examined 2,400 stool samples of patients with diarrheal illness in rural Bangladesh in 1988. Vibrio cholerae was cultured from 40% of patients, but the results did not discriminate between the flood period and the cumulative 9 months studied.7 In 1998, Tanabe and others8 examined 76 patient stool samples during a post-flood diarrheal epidemic in the Chandpur district of southeastern Bangladesh. They found V. cholerae in 50% of patients; V. cholerae non-O1/non-O139, non-cholera vibrios, and enteropathogenic Escherichia coli infection were also detected, but at much lower frequencies. However, the small sample size and lack of comparison with other periods limit the generalizability of this study. Qadri and others9 recently reported the results of a focused evaluation for enterotoxigenic E. coli (ETEC) during a 6-week period of the first Dhaka flood of 2004; they found that patients with ETEC infection represented a significant fraction of those presenting to a diarrheal treatment facility in Dhaka. In particular, ETEC accounted for 18% of cases, whereas V. cholerae infection accounted for 22% of cases.
An enhanced understanding of the epidemiology of flood-related diarrheal epidemics would help clinicians and public health officials prepare for future events. We therefore examined the demographic and microbiologic features that characterized recent flood-related diarrheal epidemics in Dhaka, Bangladesh.
| MATERIALS AND METHODS |
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Surveillance system. A surveillance system was established at the ICDDR,B in 1979 to systematically sample children and adults with diarrheal illness.11 Between 1980 and 1995, every 25th patient presenting to the ICDDR,B was enrolled. Since 1996, every 50th patient has been enrolled. The patient and family members are interviewed by health workers who collect demographic, socioeconomic, and clinical data. A physician documents the clinical condition, including dehydration status, and a stool or rectal swab sample is collected for microbiologic evaluation. All demographic, microbiologic, treatment, and outcome data are systematically recorded.
Microbiological evaluation.
As part of the microbiological surveillance system, stool and rectal swab samples were evaluated for a range of microorganisms. A list of microorganisms screened for during each time period of study is listed in Table 1
. In all time periods, stool was routinely evaluated for V. cholerae, Shigella species, Salmonella species, Enta moeba histolytica/dispar, and Giardia lamblia. Rectal swabs or stool samples were plated directly on salmonella-shigella (SS), taurocholate-tellurite-gelatin, and MacConkey agars. Specimens were also enriched in alkaline peptone water and plated on taurocholate-tellurite-gelatin agar. Plates were examined for salmonella, shigella, and vibrios by standard methods. V. choleraelike colonies were further characterized and classified by serogroup, biotype, and serotype. Non-lactose fermenting colonies from MacConkey and SS agars were screened on Kligler iron agar slants and urea-motility-indole medium. Shigella isolates were biochemically identified and serologically grouped using commercially available antisera (Burroughs Wellcome, Research Park, NC). Campy-BAP agar was used to screen for C. jejuni (BBL Microbiology Systems, Cockeysville, MD). ETEC was detected through specific gene amplification in pools of five colonies of E. coli recovered from stool. Rotavirus antigen (group Aspecific VP6 protein) was identified by enzyme-linked immunosor-bent assay (Dakoplatts, Copenhagen, The Netherlands).12 Fresh stool specimens were tested for parasites by direct smear microscopy without concentration techniques.
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A flood period was defined from the earliest date that any of the rivers surrounding Dhaka exceeded the predetermined flood stage through the latest date that any of the river levels fell below the flood stage. An individual rivers flood stage was defined by the Flood Forecasting Watch Center, Bangladesh.13 Using this definition, there were four flood-related diarrheal epidemics: September 6 to October 13, 1988; July 25 to October 13, 1998; July 20 to August 21, 2004; and September 16 to October 24, 2004 (Figure 1
). The comparator non-flood periods were defined as the matching dates in the flanking years. For example, the periods of September 6 to October 13 in 1987 and 1989 were used as the comparator non-flood periods for the 1988 epidemic, and microbiological data from the corresponding surveillance system periods were obtained. This definition was chosen to account for seasonal variation in diarrheal pathogens.
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2 analysis. Associations were made by calculation of the odds ratio (OR) with 95% confidence intervals (CIs). Comparison between two means was performed using the independent sample t test; when data were not normally distributed, the Mann-Whitney U test was used. Statistical significance was defined as a two-tailed P < 0.05. | RESULTS |
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Patient characteristics.
Patient characteristics for flood-related epidemics and comparator non-flood periods are summarized in Table 2
. For the years analyzed, a total of 20,395 patients were enrolled into the surveillance system, representing a systematic sample of approximately 800,000 patient visits with a mean of 275 ± 129 (SD) patient visits/d to the ICDDR,B. Two thousand two hundred twenty-nine patients were surveyed during the flood-related epidemics: 493 in 1988, 1,050 in 1998, and 686 in 2004 (304 in the first epidemic and 382 in the second epidemic). Extrapolating from this, approximately 100,000 patients presented to the ICDDR,B during these four analyzed flood-related epidemics with 542 ± 153 mean visits/d compared with 249 ± 69 mean visits/d in matched non-flood periods (P < 0.001).
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Pathogens.
Vibrio cholerae.
Over the 8 discontinuous years of observation included in this analysis, a total of 4,427 positive stool cultures for V. cholerae were obtained by the ICDDR,B surveillance system, representing 191,000 cholera cases. The proportion of V. cholerae infection increased during all of the flood-related epidemics compared with non-flood periods (Table 3
). In both the 1998 and first 2004 flood-associated epidemics, there was an approximate doubling in the proportion of patients with V. cholerae infection compared with the seasonally matched control period (1998: 42% from 20%, P
0.001; 2004 first epidemic: 23% from 11%, P
0.001). In the 1988 and second 2004 epidemics, there was a lower but still significant increase in the proportion of patients with V. cholerae compared with seasonally matched periods (1988: 25% from 15%, P
0.01; 2004 second epidemic: 41% from 32%, P = 0.03).
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V. cholerae of the O139 serogroup was not present before 1992. However, during the three later epidemics, the O139 serogroup was found in 2% of patients during pooled flood-related epidemics and in 9% of patients during comparator non-flood periods.
Rotavirus.
As shown in Table 3
, the overall proportion of patients infected with rotavirus decreased during flood-related epidemics compared with matched non-flood periods (26% versus 17%, non-flood versus flood; P = 0.002). The decrease in proportion of patients with rotavirus was significant for the 1998 and the second 2004 epidemic. However, despite this, rotavirus was the second most frequently identified cause of diarrhea during all flood periods (when considered in aggregate), and the single most commonly identified cause of diarrhea during the first 2004 epidemic, accounting for 30% of all cases of diarrhea among individuals presenting to the ICDDR,B during that epidemic. Notably, rotavirus was not screened for during the 1988 epidemic, which shared a number of epidemiologic features with the first 2004 epidemic, including the predominance of children less than 2 years of age, the shorter duration of the epidemic, and the lower proportion of V. cholerae isolates.
Shigella and Salmonella species. Although there was an increase in the mean cases/day of shigella-related infections during flood-related epidemics (16 versus 29; non-flood versus flood; P < 0.001), there was no proportional change in Shigella cases when considering non-flood versus flood periods (6% versus 5%, non-flood versus flood; P = 0.66). Shigella flexneri was the predominant species during both flood-related epidemics and non-flood periods. Similarly, there was an overall increase in mean cases per day of Salmonella species compared with corresponding non-flood periods (4 versus 11, non-flood versus flood; P = 0.001), although there was no proportional change in Salmonella cases (2% versus 2%, non-flood versus flood; P = 0.90).
Other pathogens. E. histolytica/dispar and G. lamblia were screened for throughout the entire surveillance period. Comparing flood to non-flood periods, there was no proportional change in these pathogens, although there was a significant increase in mean cases per day. Between 1997 and 1999, ETEC and C. jejuni were additionally assessed for by the surveillance system. During this period, flood-related ETEC cases proportionally decreased compared with non-flood periods (18% versus 9%, non-flood versus flood; P < 0.001). C. jejuni cases did not proportionally change, although there was a significant increase in mean cases per day during the 1998 epidemic compared with corresponding non-flood periods (33 versus 78, non-flood versus flood; P < 0.001).
No pathogen identified. Patients presenting to the ICD-DR,B with diarrhea and no identifiable organism comprised between 23% and 51% per year of the surveillance population. The number of cases in which no pathogen was identified is confounded by the variability in the screening tests used during the different periods. However, when considering each flood period and matched control period, we found a proportional decrease in cases with no specific identified pathogen during flood periods, perhaps reflecting the increased proportion of diagnosed V. choleraeassociated cases.
Individual versus aggregate microbiological analysis. Analysis of microbiological results for individual flood and control periods disclosed findings similar to those observed for aggregate flood and aggregate control periods (data not shown).
Outcomes. Despite high patient volume and increase in severe dehydration during the flood-related epidemics, patients presenting to the ICDDR,B during these epidemics had no statistically significant difference in the low in-hospital case-fatality rates that were observed for patients presenting during flood-associated epidemics and corresponding non-flood periods (three fatalities per 1,000 patient visits during flood-associated epidemics versus two fatalities per 1,000 patient visits in non-flood periods; P = 0.58).
| DISCUSSION |
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In addition to the dynamic pattern of endemic disease, certain conditions also predispose to large-scale epidemics of cholera. Naive populations are particularly susceptible to such outbreaks. For instance, an outbreak among approximately 500,000 refugees in Goma, Zaire, in July 1994 resulted in more than 35,000 cases of cholera over a 1-month period.19,20 Although V. cholerae is a classic example of a water-borne pathogen, it can also spread by direct fecal-oral transmission, and V. cholerae organisms acquire a transient hyper-infectious phenotype after passage through the human intestine21,22; such hyperinfectivity may contribute to the epidemic spread of V. cholerae.23 We observed that, during each flood-associated epidemic, the distribution of serotypes of V. cholerae reflected the distribution in the 3 months immediately preceding each epidemic period, perhaps reflecting host-mediated amplification of circulating strains of V. cholerae rather than emergence of new environmental isolates. The proportional decrease in cholera caused by V. cholerae O139 during flood compared with non-flood periods may reflect amplification of the predominant circulating strain of V. cholerae in the community when a flood occurs, which has historically been V. cholerae O1.
Along with a proportional increase in cholera cases during flood periods, there was a proportional decrease in cases of rotavirus. Despite this, rotavirus was, overall, the second most frequently identified pathogen during epidemics and was the most commonly identified pathogen in the first 2004 epidemic. In addition, the absolute number of patients presenting per day with rotavirus infection during two of three examined flood periods increased compared with seasonally matched non-flood periods.
Although evaluation for ETEC was not part of the routine surveillance system, it was part of the surveillance system from 1997 to 1999. During the 1998 flood, ETEC was the fourth most commonly identified pathogen in diarrheal stools (after V. cholerae, rotavirus, and Campylobacter) and was proportionally decreased compared with seasonally matched periods (18% versus 9%, non-flood versus flood; P
0.001). In contrast, during the first 2004 epidemic, Qadri and others9 found a significant contribution of ETEC to overall cases (18% compared with 22% for cholera cases). No seasonally matched control data were available for this period.
Although our data clearly support the predominance of V. cholerae as the cause of flood-associated diarrheal epidemics and suggest contributions of other causes of secretory diarrhea such as rotavirus and possibly ETEC, it is important to realize that there was also an increase in the absolute number of patients per day presenting with diarrhea caused by Shigella species, Salmonella species, C. jejuni, G. lamblia, and E. histolytica during some flood-associated epidemics. Taken cumulatively, this increase suggests a generalized increase in fecal-oral transmission in post-flood epidemics. In addition, many of these latter pathogens require treatment other than rehydration alone, and preparation for future flood-related epidemics should include maintaining access to appropriate antimicrobial agents for a variety of pathogens.
Regardless of the infecting pathogen, patients presenting to the ICDDR,B during flood-associated epidemics were more severely dehydrated than those presenting during non-flood periods. This may be caused by an increased in the number of cases of secretory diarrhea or to the inherent difficulty of seeking medical attention during a flood situation. Patients of lower socioeconomic status were also more likely to present for medical attention during flood-related epidemics, suggesting that such individuals may be inordinately affected by floods because of inferior sanitation, living in flood-prone areas, or having less access to home treatments such as ORS. Despite this, there was no significant increase in the inhospital case-fatality rates during flood-associated epidemics.
In conclusion, we observed that V. cholerae played a primary role in four distinct flood-related diarrheal epidemics in Dhaka. Other pathogens that cause secretory diarrhea, particularly ETEC and rotavirus, also contributed significantly to flood-related epidemics. Despite a proportional decrease in the cases of rotavirus-associated diarrhea, cholera and rotavirus together accounted for the majority of cases of diarrhea among individuals presenting to the ICDDR,B during all flood periods examined. There was also more limited data to suggest that ETEC and other pathogens contribute significantly to flood-related epidemics. Our results may be helpful to public health officials to prepare for future flood-related epidemics in Bangladesh. Possible preparations may include stocking adequate supplies of ORS, intravenous fluids, antibiotics, and, perhaps, targeted use of cholera vaccines to prevent or interrupt transmission of V. cholerae.24,25
Received November 5, 2005. Accepted for publication February 13, 2006.
Financial support: This work was supported by funding support from the ICDDR,B: Centre for Health and Population Research and NIH Grants K01-TW07144 (R.C.L.), U01-AI58935 (S.B.C.), and AI40725 (E.T.R.). J. H. is an NICHD fellow of the Pediatric Scientist Development Program (NICHD Grant K12-HD00850).
* Address correspondence to Brian S. Schwartz, UCSFMt. Zion Hospital, Box 1945, Room 532W, 1600 Divisadero Street, San Francisco, CA 94115. E-mail: bschwartz{at}medicine.ucsf.edu ![]()
Authors addresses: Brian Schwartz, UCSFMt. Zion Hospital, Box 1945, Room 532W, 1600 Divisadero Street, San Francisco, CA 94115, E-mail: bschwartz{at}medicine.ucsf.edu. Jason Harris, Regina LaRocque, Stephen Calderwood, and Edward Ryan, Division of Infectious Diseases, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, E-mail: jbharris{at}partner.org, rclarocque{at}partners.org, scalderwood{at}partner.org, etryan{at}partners.org. Ashraful Khan, David Sack, Mohammad Malek, Abu Faruque, Firdausi Qadri, and Stephen Luby, International Centre for Diarrhoeal Disease Research (ICDDRB), GPO Box 128, Mohakhali, Dhaka 1000, Bangladesh, E-mail: ashrafk{at}icddrb.org; dsack{at}icddrb.org, malekd05{at}yahoo.com, gfaruque{at}icddrb.org, sluby{at}icddrb.org.
Reprint requests: Brian Schwartz, UCSFMt. Zion Hospital, Box 1945, Room 532W, 1600 Divisadero Street, San Francisco, CA 94115, E-mail: bschwartz{at}medicine.ucsf.edu.
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