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1.
Am J Public Health ; 110(6): 842-849, 2020 06.
Artículo en Inglés | MEDLINE | ID: mdl-32298181

RESUMEN

Objectives. To investigate a shigellosis outbreak in Genesee County, Michigan (including the City of Flint), and Saginaw County, Michigan, in 2016 and address community concerns about the role of the Flint water system.Methods. We met frequently with community members to understand concerns and develop the investigation. We surveyed households affected by the outbreak, analyzed Shigella isolate data, examined the geospatial distribution of cases, and reviewed available water quality data.Results. We surveyed 83 households containing 158 cases; median age was 10 years. Index case-patients from 55 of 83 households (66%) reported contact with a person outside their household who wore diapers or who had diarrhea in the week before becoming ill; results were similar regardless of household drinking water source. Genomic diversity was not consistent with a point source. In Flint, no space-time clustering was identified, and average free chlorine residual values remained above recommended levels throughout the outbreak period.Conclusions. The outbreak was most likely caused by person-to-person contact and not by the Flint water system. Consistent community engagement was essential to the design and implementation of the investigation.


Asunto(s)
Brotes de Enfermedades/estadística & datos numéricos , Agua Potable/microbiología , Disentería Bacilar , Shigella sonnei , Abastecimiento de Agua , Adolescente , Adulto , Anciano , Anciano de 80 o más Años , Niño , Preescolar , Ciudades , Disentería Bacilar/epidemiología , Disentería Bacilar/microbiología , Disentería Bacilar/transmisión , Femenino , Humanos , Lactante , Masculino , Michigan/epidemiología , Persona de Mediana Edad , Shigella sonnei/clasificación , Shigella sonnei/genética , Shigella sonnei/aislamiento & purificación , Calidad del Agua , Adulto Joven
2.
Foodborne Pathog Dis ; 11(9): 727-33, 2014 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-25072416

RESUMEN

BACKGROUND: Estimates of the burden of illness acquired from food inform public health policy and prioritize interventions. A key component of such estimates is the proportion of illnesses that are acquired by foodborne transmission. In view of the shortage of requisite data, these proportions are commonly obtained through a process known as expert elicitation. We report findings from an elicitation process used to assess the importance of the foodborne transmission route for nine pathogens in Australia, circa 2010. MATERIALS AND METHODS: Eleven experts were asked to estimate the proportion of illness acquired by five transmission routes: food, environmental, water, person, and zoonotic, together with a 90% certainty interval for foodborne transmission. Foodborne estimates and intervals from each expert were combined using both modified triangular and Program Evaluation and Review Technique (PERT) distributions, in @Risk version 6, to generate final distributions from which median estimates and 95% Credible Intervals (CrI) were calculated. RESULTS: Shiga toxin-producing Escherichia coli (STEC) was the only pathogen believed to have an important zoonotic transmission route, while norovirus, hepatitis A virus, non-STEC pathogenic E. coli, and Shigella spp. were all thought to be primarily spread from person to person. Foodborne transmission was the main route for Clostridium perfringens (98%, CrI: 84-100), Listeria monocytogenes (98%, CrI: 86-100), nontyphoidal Salmonella spp. (72%, CrI: 50-87), and Campylobacter spp. (77%, CrI: 60-90). Foodborne estimates using the modified triangular distribution had wider CrI than these calculated using the PERT distribution. CONCLUSIONS: Foodborne proportions for most pathogens in this study were the same or lower than those estimated circa 2000 in Australia, with the greatest decline for non-STEC pathogenic E. coli. Inclusion of certainty intervals from experts helps to quantify the precision of foodborne proportions. A decline in estimates of the foodborne proportion for common pathogens will influence final estimates of the burden of illness acquired from food.


Asunto(s)
Microbiología de Alimentos , Enfermedades Transmitidas por los Alimentos/epidemiología , Australia/epidemiología , Campylobacter/fisiología , Clostridium perfringens/fisiología , Escherichia coli/fisiología , Testimonio de Experto , Inocuidad de los Alimentos , Enfermedades Transmitidas por los Alimentos/microbiología , Virus de la Hepatitis A/fisiología , Humanos , Listeria monocytogenes/fisiología , Norovirus/fisiología , Vigilancia de la Población , Salmonella/fisiología , Shigella/fisiología
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