Increased rotavirus prevalence in diarrheal outbreak precipitated by localized flooding, Solomon Islands, 2014.
During March 31-April 6, 2014, in Honiara, a tropical depression caused 663 mm of rainfall, 10 times the mean weekly rainfall recorded during 2010-2013 (6). After the flooding event, use of the Pacific Syndromic Surveillance System (PSSS) (7), which collects weekly aggregated data on diarrhea and other syndromes from 4 health facilities in Honiara and 4 provincial hospitals, was transitioned to a postdisaster Early Warning Alert and Response Surveillance Network (EWARN) to enhance outbreak detection and response (8).
To characterize the outbreak, we identified nonbloody (>2 loose bowel movements in 24 hours) and bloody (any episode of loose bowel movement with visible blood) diarrhea from PSSS/EWARN databases and patient registries of 10 outpatient and inpatient facilities in Honiara and 6 provincial hospitals from the outbreak period, April 7-July 13, 2014. To verify that this was an outbreak and not normal seasonal fluctuation, we also reviewed longitudinal diarrhea data from PSSS sentinel sites during January 2013-August 2015.
The National Referral Hospital (NRH) in Honiara evaluated fecal samples from inpatients and outpatients who had diarrheal illness. Samples were routinely tested for Salmonella enterica, Shigella spp, Vibrio cholera, and rotavirus. A rapid diagnostic test (RDT), the SD BIOLINE Rota/Adeno Rapid kit (Standard Diagnostics, Inc., Yongin, South Korea), was used to test for rotavirus at the NRH (9). We genotyped rotavirus-positive samples as previously described (10) and calculated incidence rates using the Solomon Islands' 2009 census. Negative binomial regressions and Fisher exact testing evaluated differences in rates and proportions testing positive.
We identified 4,087 diarrhea cases from the city of Honiara during the outbreak period, of which 3,664 cases (90%) were nonbloody. The mean number of weekly cases of diarrhea among PSSS sites in Honiara increased from 81.7 to 236.5 (rate ratio 2.90, 95% CI 2.13-3.96) from baseline to outbreak and baseline periods. (Table 1). The highest attack rate during the outbreak occurred in the <5 years age group (32%), which was >14x that observed for the [greater than or equal to] 5 years age group (2%). During the outbreak, 6 of 9 provinces in the Solomon Islands reported diarrhea outbreaks, comprising the flood-affected province of Guadalcanal and 5 provinces that were not affected by the tropical depression and flooding (Malaita, Makira, Western, Isabel, and Choiseul) (Figure 1, panels C-E). Hospital-based surveillance identified 4,407 diarrhea cases, of which 1,626 (37%) were reported from provinces unaffected by flooding. During the outbreak, 27 diarrhea-related deaths were identified, including 10 from flood-affected provinces (3.6 deaths/1,000 case-patients) and 17 from provinces where no flooding occurred (8.6 deaths/1,000 case-patients). Of the 23 deaths with information on age, 21 (91%) were <5 years.
Among 61 fecal samples collected during the outbreak in Honiara, 23 (38%) tested positive in the rotavirus RDT, versus none of the 43 samples collected during the same period in 2013 (p<0.001) (Table 2); the proportion positive for other pathogens tested was similar for 2013 versus 2014. Of 5 samples collected in June during the outbreaks in non-flood-affected areas, 4 tested positive in the rotavirus RDT; each of the 4 positive samples were obtained from a different province (Choiseul, Isabel, Makira, and Malaita). Isolates from the 4 samples were identified as genotype G9P and found to have identical VP4 and VP7 sequences (GenBank Accession nos. KU312099-KU312102). Samples were not available for genotyping from flood-affected areas. The VP7 isolates were most similar to strains circulating in China and Russia during 2011-2013 (Figure 2).
We report a nationwide epidemic of diarrhea in the Solomon Islands, which was precipitated by a focal extreme weather event. Disasters can facilitate transmission of infectious diseases through population displacement, overcrowding, limited access to clean water, and compromised hygiene and sanitation (3). An assessment to quantify the risk for disease outbreaks was done immediately after the floods and identified a high risk for diarrheal outbreaks in Honiara and Guadalcanal (E.J. Nilles, unpub. data). Using protocols developed after a tsunami emergency in 2013 (11) and insight gained by the experience, the Ministry of Health and Medical Services rapidly established an EWARN to strengthen disease detection and response capabilities. We report an increase in diarrheal cases shortly after the floods, and despite implementation of control measures, large outbreaks were detected in the flood-affected areas of Honiara and other parts of Guadalcanal. We subsequently identified outbreaks in multiple areas not affected by the flooding, indicating transmission from flood to non-flood affected areas.
Several factors suggest rotavirus was prevalent during the outbreak. The proportion of rotavirus-positive samples was 38% during 7 April-13 July, 2014, versus 0% during the same period in 2013, and increased to 55% during the peak of the outbreak from April 28-May 11. Outbreaks in non-flood affected provinces began soon after the peak of rotavirus transmission in Honiara. Illness and deaths caused by rotaviruses primarily affect the <5 years age group, unlike most other diarrheal agents with epidemic potential that affect all age groups (e.g., Vibrio cholera, Shigella dysenteriae, norovirus) (12). Finally, all 4 isolates from 4 non-affected provinces demonstrated 100% genetic homology of target genes, consistent with a common origin.
However, the small number of diarrheal samples tested for a small number of pathogens limited our ability to conclusively define the role of rotavirus versus other diarrheal pathogens. There was limited historical baseline data against which to compare our findings, but given the consistent collection of data through the PSSS during 2013-15, and the direct observations of multiple study authors (who were involved in outbreak response activities) of substantial surges in diarrhea cases throughout the country, we are confident that this was an outbreak and not seasonal fluctuation. We only included ambulatory cases and did not evaluate hospitalizations.
Improved understanding of the health implications of changing climate patterns is necessary to drive evidence-based mitigation strategies. Post-disaster early warning alert and response networks can ensure the rapid detection of, and response to, disease outbreaks that are likely to increase as climate change leads to more severe extreme weather events. Countries at risk for extreme weather events and other disasters, including many Pacific island nations, should ensure protocols and plans have been tested and are in place and to rapidly enhance disease detection and response capacities. Rotavirus may cause or contribute to epidemics in the post-disaster setting, emphasizing the importance of implementing global childhood rotavirus immunization guidelines (13).
Support for the study was provided by the Wilbur G. Downs Fellowship, the Coca-Cola World Fund at Yale University, and National Institutes of Health (R01 TW009504).We would like to thank Lavoni Tavoto, Adrian Simbe, the National Referral Hospital Laboratory, the Solomon Islands Red Cross, and Medecins Sans Frontieres for providing assistance with data collection and analysis. We also thank Virginia Pitzer, Jordan Emont, Aref Senno, Georgiana Green, and Soledad Colombe for their valuable insights on study design, analysis and revision and Losalini Vakasavuwaqa for administrative support.
The research at MCRI was supported by the Victorian Government's Operational Infrastructure Support Program. C.D. Kirkwood is director of Australian Rotavirus Surveillance Program and WHO Rotavirus Regional Reference laboratory and Collaborating Centre for Health (Rotavirus).
This investigation was exempted from approval by Solomon Islands and Yale University research review boards.
Mr. Jones is an Association of Schools and Programs of Public Health/CDC Allan Rosenfield Global Health Epidemiology Fellow in Dar es Salaam, Tanzania. His research interests include climate change, outbreak investigation, surveillance, and mathematical modeling.
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Address for correspondence: Eric J. Nilles, Emerging Disease Surveillance & Response, World Health Organization, Division of Pacific Technical Support, PO Box 113, Suva, Fiji; email: firstname.lastname@example.org
Author affiliations: Yale School of Public Health, New Haven, Connecticut, USA (F.K. Jones, A.I. Ko); Fundacao Oswaldo Cruz, Salvador, Brazil (A.I. Ko); Solomon Islands Ministry of Health and Medical Services, Honiara, Solomon Islands (C. Becha, C. Joshua, A. Sio); World Health Organization, Honiara (C. Joshua, J. Musto, A. Aumua); World Health Organization, Suva, Fiji (J. Musto, A. Ronsse, E.J. Nilles); Murdoch Childrens Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia (S. Thomas, C.D. Kirkwood); La Trobe University, Melbourne, Victoria, Australia. (C.D. Kirkwood)
Table 1. Comparison of diarrhea prevalence before, during, and after outbreak linked to localized flooding, Solomon Islands, 2013-2015 * Facility ([dagger]) Facility Location type ([double dagger]) National Referral Hospital Hospital Honiara Kukum Clinic Honiara Rove Clinic Honiara Good Samaritan Hospital Hospital Guadalcanal Kilu'ufi Hospital Malaita Taro Hospital Choiseul Gizo Hospital Western Facility ([dagger]) 2013 2014 ([section]) ([paragraph]) National Referral Hospital 470 (36.2) 1969 (140.6) Kukum 290 (20.7) 675 (48.2) Rove 288 (20.6) 487 (34.8) Good Samaritan Hospital NA 812 (116.0) Kilu'ufi 248 (17.7) 627 (44.8) Taro 4 (0.3) 48 (3.4) Gizo 72 (5.1) 427 (30.5) Facility ([dagger]) 2015# Rate ratio (95% CI) National Referral Hospital 347 (24.8) 4.65 (3.24-6.75) Kukum 256 (18.3) 2.47 (1.67-3.70) Rove 264 (18.9) 1.76 (1.18-2.66) Good Samaritan Hospital 253 (18.1) 6.41 (4.43-9.42) Kilu'ufi 112 (8.6) 3.36 (2.17-5.29) Taro 31 (2.2) 2.74 (1.18-6.71) Gizo 140 (10.8) 3.88 (2.37-6.52) * Source: Pacific Syndromic Surveillance System (PSSS) database. The rate ratio was calculated by comparing rates during the outbreak in 2014 and rates during years without outbreaks (2013 and 2015) and using a negative binomial regression. NA, not available. ([dagger]) One PSSS site in Honiara, Mataniko Clinic, is not shown because the clinic was partially destroyed by the flood and was not operational during the peak of the outbreak. ([double dagger]) The city of Honiara is the capital of the Solomon Islands and is located in Guadalcanal Province; the remaining locations are provinces of the Solomon Islands. ([section]) April 8-July 14, 2013 (14 weeks). ([paragraph]) April 7-July 13, 2014 (14 weeks). #April 6-July 12, 2015 (14 weeks). Table 2. Rotavirus rapid diagnostic tests of fecal samples before and during diarrheal outbreak precipitated by localized flooding, Honiara, Guadalcanal, Solomon Islands, 2013 and 2014 * % Positive (no. positive/no. tested) Age group 2013 2014 p value ([dagger]) ([double dagger]) ([section]) <5 y 0 (0/12) 41.9 (18/43) 0.005 [greater than 0 (0/31) 23.5 (4/17) 0.012 or equal to] 5 y Unknown NA 100 (1/1) NA Total 0 (0/43) 37.7 (23/61) <0.001 * Samples were collected and tested at the National Referral Hospital, Honiara; no rotavirus tests were conducted during the outbreak period in 2015. NA, not available. ([dagger]) April 8-July 14, 2013 (14 weeks). ([double dagger]) April 7-July 13, 2014 (14 weeks). ([section]) By Fisher exact test. No. cases (mean weekly cases)
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|Author:||Jones, Forrest K.; Ko, Albert I.; Becha, Chris; Joshua, Cynthia; Musto, Jennie; Thomas, Sarah; Ronss|
|Publication:||Emerging Infectious Diseases|
|Date:||May 1, 2016|
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