| Literature DB >> 22815747 |
Matthew R Kasper1, Andres G Lescano, Carmen Lucas, Duncan Gilles, Brian J Biese, Gary Stolovitz, Erik J Reaves.
Abstract
Infectious diarrhea remains a major risk to deployed military units worldwide in addition to their impact on travelers and populations living in the developing world. This report describes an outbreak of diarrheal illness in the U.S. military's 130(th) Maneuver Enhancement Brigade deployed in San Vicente, El Salvador during a training and humanitarian assistance mission. An outbreak investigation team from U.S. Naval Medical Research Unit-Six conducted an epidemiologic survey and environmental assessment, patient interviews, and collected stool samples for analysis in an at risk population of 287 personnel from May 31(st) to June 3(rd), 2011. Personnel (n = 241) completed an epidemiological survey (87% response rate) and 67 (27%) reported diarrhea and/or vomiting during the past two weeks. The median duration of illness was reported to be 3 days (IQR 2-4 days) and abdominal pain was reported among 30 (49%) individuals. Presentation to the medical aid station was sought by (62%) individuals and 9 (15%) had to stop or significantly reduce work for at least one day. Microscopy and PCR analysis of 14 stool samples collected from previously symptomatic patients, Shigella (7), Cryptosporidium (5), and Cyclospora (4) were the most prevalent pathogens detected. Consumption of food from on-base local vendors (RR = 4.01, 95% CI = 1.53-10.5, p-value <0.001) and arriving on base within the past two weeks (RR = 2.79, 95% confidence [CI] = 1.35-5.76, p-value = 0.001) were associated with increased risk of developing diarrheal disease. The risk of infectious diarrhea is great among reserve military personnel during two week training exercises. The consumption of local food, prepared without proper monitoring, is a risk factor for deployed personnel developing diarrheal illness. Additional information is needed to better understand disease risks to personnel conducting humanitarian assistance activities in the Latin America Region.Entities:
Mesh:
Year: 2012 PMID: 22815747 PMCID: PMC3399860 DOI: 10.1371/journal.pone.0040404
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Epidemic curve of personnel reporting to the Medical Aid Station with diarrhea, San Vicente, El Salvador, 2011.
The start of each two week deployment periods is indicated by the date. *Indicates the time at which vendors were no longer allowed on base to serve food.
Demographic and Clinical Characteristics of Study Population.
| Clinical and Demographic information | Overall (n = 241) | % |
| Age - years (median - IQR) | 27 | IQR 22–37 |
| Gender - male | 202 | 83.8 |
| Have you been in a developing country in the last year? | 41 | 17.1 |
| What country? | ||
| - Latin America/Caribbean | 23 | 55.2 |
| - Middle East | 17 | 40.8 |
| - Other | 1 | 2.4 |
| Diarrhea or vomiting in the last two weeks? | 67 | 27.8 |
| Duration of diarrhea or vomiting? (days) | 3 | IQR 2–4 |
| Fever | 5 | 8.2 |
| Blood in Stool | 1 | 1.0 |
| Abdominal Pain | 30 | 49.2 |
| Dehydration | 14 | 23.0 |
| Nausea | 17 | 27.9 |
| Headache | 20 | 32.8 |
| Present at sick call due to diarrhea or vomiting? | 38 | 62.3 |
| Stop or signifcantly reduce work at least one day? | 9 | 14.8 |
| how many days miss work? | ||
| - one day | 5 | 55.5 |
| - two days | 4 | 44.4 |
| Receive IV fluids? | 4 | 6.6 |
| Receive antibiotics? | 35 | 57.4 |
| Antibiotic self-medication? | 4 | 6.6 |
| Preventive Medicine Information before Deployment | 85 | 35.3 |
| Method of Delivery | ||
| - paper-based | 25 | 29.1 |
| - Lecture | 39 | 45.4 |
| - online training | 6 | 6.9 |
| - other | 7 | 8.1 |
| Topics covered in training | ||
| - Malaria | 64 | 74.4 |
| - dengue | 33 | 38.3 |
| - diarrhea | 51 | 59.3 |
| - injuries | 40 | 46.5 |
| - healthcare access | 33 | 38.4 |
| - insurance | 11 | 12.8 |
| - personal hygiene | 62 | 72.1 |
| - other | 7 | 8.1 |
Association of risk factors with acquisition of illness among all survey takers (n = 241) and multiple regression analysis of risk factors for acquisition of diarrheal illness.
| Univariate Analysis | Multivariate Analysis | ||||||
| Question | Yes/No | Diarrhea | Risk Ratio | p-value | Risk Ratio | 95% CL | p-value |
| Arriving on base within past two weeks | Yes | 60 (33.7%) | 2.79 | 0.001 | 2.85 | 1.31–6.18 | 0.008 |
| No | 7 (12.1%) | ||||||
| Eat off base in last two weeks? | Yes | 50 (31.8%) | 1.51 | 0.077 | |||
| No | 17 (20.9%) | ||||||
| Were off base foods cooked? | Yes | 43 (29.2%) | 0.35 | 0.005* | |||
| No | 5 (83.3%) | ||||||
| Were off base foods served hot? | Yes | 42 (29.1%) | 0.41 | 0.007* | |||
| No | 7 (70.0%) | ||||||
| Did you add hot sauces to off-base foods? | Yes | 11 (23.4%) | 0.67 | 0.157 | |||
| No | 37 (34.9%) | ||||||
| Eat at street vendors off base in last two weeks? | Yes | 28 (28.2%) | 1.01 | 0.938 | |||
| No | 37 (27.8%) | ||||||
| Eat at local vendors (non-DFAC) on-base? | Yes | 59 (32.7%) | 4.01 | <0.001 | 3.91 | 1.50–10.18 | 0.0051 |
| No | 4 (8.1%) | ||||||
| Drink non-bottled beverages off-base in last two weeks? | Yes | 15 (37.5%) | 1.41 | 0.157 | |||
| No | 51 (26.4%) | ||||||
Food Consumption among three units with highest incidence of diarrheal disease (n = 80).
| Univariate Analysis | ||||
| Question | Yes/No | Diarrhea | Risk Ratio | p-value |
| Ate Tacos for dinner onthe 23rd? | Yes | 12 (33.3%) | 2.13 | 0.0029 |
| No | 3 (6.9%) | |||
| Ate Tacos for dinner onthe 25th? | Yes | 14 (37.8%) | 2.09 | 0.0023 |
| No | 4 (9.3%) | |||
| Ate Papusas for dinner onthe 23rd? | Yes | 14 (38.9%) | 1.87 | 0.01 |
| No | 6 (13.9%) | |||
| Ate Papusas for dinner onthe 25th? | Yes | 16 (43.2%) | 2.14 | 0.0014 |
| No | 5 (11.6%) | |||
PCR detection of enteropathogens (n = 14) among 14 samples collected from personnel reporting diarrhea in El Salvador.
| Sample |
|
|
|
| norovirus | IpaH | Campylobacter |
| 1 |
| Negative | Negative | Negative | Negative |
|
|
| 2 |
| Negative | Negative |
| Negative |
| Negative |
| 3 | Negative | Negative | Negative | Negative | Negative |
| Negative |
| 4 |
|
| Negative | Negative | Negative | Negative | Negative |
| 5 |
| Negative | Negative |
| Negative |
| Negative |
| 6 | Negative | Negative |
| Negative | Negative | Negative | Negative |
| 7 |
|
| Negative | Negative | Negative | Negative | Negative |
| 8 | Negative |
| Negative | Negative | Negative |
| Negative |
| 9 | Negative |
| Negative | Negative | Negative | Negative | Negative |
| 10 | Negative | Negative | Negative | Negative | Negative | Negative | Negative |
| 11 | Negative | Negative | Negative | Negative | Negative | Negative | Negative |
| 12 | Negative | Negative | Negative | Negative |
| Negative | Negative |
| 13 | Negative | Negative | Negative | Negative | Negative |
| Negative |
| 14 | Negative | Negative | Negative | Negative | Negative |
| Negative |
| Total | 5 (35.7%) | 4 (28.6%) | 1 (7.1%) | 2 (14.3%) | 1 (7.1%) | 7 (50.0%) | 1 (7.1%) |