Response to Vaccine-Derived Polioviruses Detected through Environmental Surveillance, Guatemala, 2019.

Guatemala implemented wastewater-based poliovirus surveillance in 2018, and three genetically unrelated vaccine-derived polioviruses (VDPVs) were detected in 2019. The Ministry of Health (MoH) response included event investigation through institutional and community retrospective case searches for acute flaccid paralysis (AFP) during 2018-2020 and a bivalent oral polio/measles, mumps, and rubella vaccination campaign in September 2019. This response was reviewed by an international expert team in July 2021. During the campaign, 93% of children 6 months <7 years of age received a polio-containing vaccine dose. No AFP cases were detected in the community search; institutional retrospective searches found 37% of unreported AFP cases in 2018‒2020. No additional VDPV was isolated from wastewater. No evidence of circulating VDPV was found; the 3 isolated VDPVs were classified as ambiguous VDPVs by the international team of experts. These detections highlight risk for poliomyelitis reemergence in countries with low polio vaccine coverage.

Early impact of COVID-19 vaccination on older populations in four countries of the Americas, 2021.

Objective: To estimate the early impact of coronavirus disease 2019 (COVID-19) vaccination on cases in older populations in four countries (Chile, Colombia, Guatemala, and the United States of America), and on deaths in Chile and Guatemala. Methods: Data were obtained from national databases of confirmed COVID-19 cases and deaths and vaccinations between 1 July 2020 and 31 August 2021. In each country, pre- and post-vaccination incidence ratios were calculated for COVID-19 cases and deaths in prioritized groups (50-59, 60-69, and ≥70 years) compared with those in the reference group (<50 years). Vaccination effect was calculated as the percentage change in incidence ratios between pre- and post-vaccination periods. Results: The ratio of COVID-19 cases in those aged ≥50 years to those aged <50 years decreased significantly after vaccine implementation by 9.8% (95% CI: 9.5 to 10.1%) in Chile, 22.5% (95% CI: 22.0 to 23.1%) in Colombia, 20.8% (95% CI: 20.6 to 21.1%) in Guatemala, and 7.8% (95% CI: 7.6 to 7.9%) in the USA. Reductions in the ratio were highest in adults aged ≥70 years. The effect of vaccination on deaths, with time lags incorporated, was highest in the age group ≥70 years in both Chile and Guatemala: 14.4% (95% CI: 11.4 to 17.4%) and 37.3% (95% CI: 30.9 to 43.7%), respectively. Conclusions: COVID-19 vaccination significantly reduced morbidity in the early post-vaccination period in targeted groups. In the context of a global pandemic with limited vaccine availability, prioritization strategies are important to reduce the burden of disease in high-risk age groups.

Burden of Diarrhoeagenic Escherichia coli in Santa Rosa, Guatemala in active health-services surveillance during 2008-2009 and 2014-2015.

OBJECTIVE: To describe the epidemiology of laboratory-confirmed Diarrhoeagenic Escherichia coli (DEC) cases from active facility-based surveillance in Guatemala. METHODS: We collected clinical and risk factor data on enrolled patients (aged 0-52 years) with acute diarrhoea at government healthcare facilities (1 hospital and 6 clinics) in Santa Rosa, Guatemala, during 2008-2009 and 2014-2015. Stool samples were analysed, E. coli identified through culture and biochemical tests, PCR amplification of genes encoding pathotype-specific virulence factors identified specific DEC pathotypes. Healthcare-seeking adjusted incidence rates were calculated. RESULTS: A total of 3041 diarrhoea cases were captured by surveillance (647 hospitalisations (H), 2394 clinic visits (CV)); general E. coli prevalence was 17.9%. DEC pathotypes were identified in 19% (n = 95/497) and 21% (n = 450/2113) in diarrhoea H and CV, respectively. Enteropathogenic E. coli (EPEC) was most frequently isolated (8.2% (n = 41) in diarrhoea H, 12.0% (n = 255) in diarrhoea CV), followed by ETEC (6.8% (n = 34) in H, 6% (n = 128) in CV) and STEC (0.6% (n = 3) in H, 0.6% (n = 13) in CV). We did not find evidence of a difference in severity between DEC and non-DEC diarrhoea. Incidence of DEC clinic visits and hospitalisations was 648.0 and 29.3, respectively, per 10,000 persons aged ≤5 years and 36.8 and 0.4, respectively, per 10,000 persons aged >5 years. CONCLUSIONS: DEC pathotypes, especially EPEC and ETEC, were detected frequently from patients presenting with diarrhoeal illness in Santa Rosa, Guatemala. Our findings suggest that preventive interventions should be prioritised for young children.

Antimicrobial Resistance in Salmonella enterica Serovar Paratyphi B Variant Java in Poultry from Europe and Latin America.

Salmonella enterica serovar Paratyphi B variant Java sequence type 28 is prevalent in poultry and poultry meat. We investigated the evolutionary relatedness between sequence type 28 strains from Europe and Latin America using time-resolved phylogeny and principal component analysis. We sequenced isolates from Colombia, Guatemala, Costa Rica, and the Netherlands and complemented them with publicly available genomes from Europe, Africa, and the Middle East. Phylogenetic time trees and effective population sizes (Ne) showed separate clustering of strains from Latin America and Europe. The separation is estimated to have occurred during the 1980s. Ne of strains increased sharply in Europe around 1995 and in Latin America around 2005. Principal component analysis on noncore genes showed a clear distinction between strains from Europe and Latin America, whereas the plasmid gene content was similar. Regardless of the evolutionary separation, similar features of resistance to ß-lactams and quinolones/fluoroquinolones indicated parallel evolution of antimicrobial resistance in both regions.

[Burden of salmonellosis and shigellosis in four departments of Guatemala, 2010]. / Carga de salmonelosis y shigelosis en cuatro departamentos de Guatemala, 2010.

OBJECTIVE: Estimate the burden of disease from Salmonella spp. and Shigella spp. in four departments of Guatemala in 2010. METHODS: Burden of disease study based on document analysis of published population surveys, laboratory files, and surveillance data from the Health Management Information System (SIGSA) in four departments of Guatemala: Huehuetenango, Jutiapa, Quetzaltenango, and Santa Rosa, in 2010. Information was supplemented by a laboratory survey. Burden of disease was estimated using methodology adapted by the World Health Organization from the United States Centers for Disease Control and Prevention. RESULTS: Surveillance data yielded 72 salmonellosis and 172 shigellosis cases. According to population surveys, the percentage of the population that consults health services for diarrhea is 64.7% (95% CI: 60.6%-68.7%) in Quetzaltenango and 61.0% (95% CI: 56.0%-66.0%) in Santa Rosa. In the 115 laboratories that answered the survey (72.8% response rate), 6 051 suspected samples were collected for stool culture and 3 290 for hemoculture; 39.4% and 100.0% of them were processed, respectively. In all, 85 Salmonella spp. and 113 Shigella spp. strains were isolated. For each reported case of salmonellosis and shigellosis, it was estimated that 40 cases are not reported in Quetzaltenango, 55 in Huehuetenango, 345 in Santa Rosa, and 466 in Jutiapa. Estimated burden of disease ranged from 5 to 2 230 cases per 100 000 population for salmonellosis and from 60 to 1 195 cases per 100 000 population for shigellosis. CONCLUSIONS: Salmonellosis and shigellosis are a major public health problem in the departments studied and in Guatemala. Burden of disease from these pathogens is higher than that reported by SIGSA.

Impact of the 'Health on Wheels' (HoW) strategy on COVID-19 vaccination coverage in hard-to-reach communities in Alta Verapaz, Guatemala, 2022.

BACKGROUND: In April 2022, after a year of COVID-19 vaccination, there were large differences in coverage between urban and rural areas in Guatemala. To address barriers in rural communities, the "Health on Wheels" (HoW) strategy was implemented. The strategy deployed mobile brigades with a dedicated team of health workers and a culturally sensitive health promotion plan in selected communities in 15 districts in Alta Verapaz, a health area with low COVID-19 vaccination uptake and a high-level of COVID-19 vaccine hesitancy. This study evaluates the impact of the HoW strategy. METHODS: We measured the relative increase in COVID-19 doses administered prior and during the HoW implementation period in the 190 intervened communities and compared to 188 communities without the intervention. Communities were grouped by health district and the impact analyses were stratified by number of COVID-19 vaccine dose (1st, 2nd, and 3rd doses) and history of vaccine hesitancy. RESULTS: The increase in 1st, 2nd, and 3rd dose-COVID-19 vaccination coverage between before and during HoW implementation was 2.4, 2.2 and 2.6 times higher in intervened communities (20 %, 21 % and 37 % increase in 1st, 2nd and 3rd dose, respectively) than in non-intervened communities (8 %, 10 % and 14 % increase in 1st, 2nd and 3rd dose respectively). For the 1st dose, increase in dose administration was 2.9 times higher in intervened communities (n = 24) with hesitancy (24 % increase) compared to non-intervened communities (n = 188) without hesitancy (8 % increase). CONCLUSION: The deployment of mobile brigades with a dedicated team of vaccinators and culturally sensitive health promotion through the HoW strategy successfully accelerated the increase in COVID-19 vaccination coverage in rural communities in Guatemala.

Comprehensive profiling of social mixing patterns in resource poor countries: A mixed methods research protocol.

BACKGROUND: Low-and-middle-income countries (LMICs) bear a disproportionate burden of communicable diseases. Social interaction data inform infectious disease models and disease prevention strategies. The variations in demographics and contact patterns across ages, cultures, and locations significantly impact infectious disease dynamics and pathogen transmission. LMICs lack sufficient social interaction data for infectious disease modeling. METHODS: To address this gap, we will collect qualitative and quantitative data from eight study sites (encompassing both rural and urban settings) across Guatemala, India, Pakistan, and Mozambique. We will conduct focus group discussions and cognitive interviews to assess the feasibility and acceptability of our data collection tools at each site. Thematic and rapid analyses will help to identify key themes and categories through coding, guiding the design of quantitative data collection tools (enrollment survey, contact diaries, exit survey, and wearable proximity sensors) and the implementation of study procedures. We will create three age-specific contact matrices (physical, nonphysical, and both) at each study site using data from standardized contact diaries to characterize the patterns of social mixing. Regression analysis will be conducted to identify key drivers of contacts. We will comprehensively profile the frequency, duration, and intensity of infants' interactions with household members using high resolution data from the proximity sensors and calculating infants' proximity score (fraction of time spent by each household member in proximity with the infant, over the total infant contact time) for each household member. DISCUSSION: Our qualitative data yielded insights into the perceptions and acceptability of contact diaries and wearable proximity sensors for collecting social mixing data in LMICs. The quantitative data will allow a more accurate representation of human interactions that lead to the transmission of pathogens through close contact in LMICs. Our findings will provide more appropriate social mixing data for parameterizing mathematical models of LMIC populations. Our study tools could be adapted for other studies.

Comprehensive profiling of social mixing patterns in resource poor countries: a mixed methods research protocol.

Background: Low-and-middle-income countries (LMICs) bear a disproportionate burden of communicable diseases. Social interaction data inform infectious disease models and disease prevention strategies. The variations in demographics and contact patterns across ages, cultures, and locations significantly impact infectious disease dynamics and pathogen transmission. LMICs lack sufficient social interaction data for infectious disease modeling. Methods: To address this gap, we will collect qualitative and quantitative data from eight study sites (encompassing both rural and urban settings) across Guatemala, India, Pakistan, and Mozambique. We will conduct focus group discussions and cognitive interviews to assess the feasibility and acceptability of our data collection tools at each site. Thematic and rapid analyses will help to identify key themes and categories through coding, guiding the design of quantitative data collection tools (enrollment survey, contact diaries, exit survey, and wearable proximity sensors) and the implementation of study procedures.We will create three age-specific contact matrices (physical, nonphysical, and both) at each study site using data from standardized contact diaries to characterize the patterns of social mixing. Regression analysis will be conducted to identify key drivers of contacts. We will comprehensively profile the frequency, duration, and intensity of infants' interactions with household members using high resolution data from the proximity sensors and calculating infants' proximity score (fraction of time spent by each household member in proximity with the infant, over the total infant contact time) for each household member. Discussion: Our qualitative data yielded insights into the perceptions and acceptability of contact diaries and wearable proximity sensors for collecting social mixing data in LMICs. The quantitative data will allow a more accurate representation of human interactions that lead to the transmission of pathogens through close contact in LMICs. Our findings will provide more appropriate social mixing data for parameterizing mathematical models of LMIC populations. Our study tools could be adapted for other studies.

Childhood parasitic infections and gastrointestinal illness in indigenous communities at Lake Atitlán, Guatemala.

Lake Atitlán has experienced a decline in water quality resulting from cultural eutrophication. Indigenous Mayans who already face disproportionate health challenges rely directly on the lake water. Our objectives were to: (1) estimate prevalence of shedding of water-borne fecal parasites among children 5 years of age and younger, (2) assess household-reported incidence of gastrointestinal illness in children, and (3) characterize water sources, treatment, and sanitation conditions in households. We hypothesized that household use of untreated lake water results in increased risk of shedding of parasites and gastrointestinal symptoms. A cross-sectional fecal sampling and physical exam of 401 children were conducted along with WASH surveys in partnership with healthcare providers in seven communities. Fecal samples were screened for Giardia lamblia and Cryptosporidium parvum, using a rapid ELISA, with a portion examined by microscope. The prevalence of parasite shedding was 12.2% (9.7% for Giardia; 2.5% for Cryptosporidium). Risk factors for Giardia shedding included age 3 years or older (3.4 odds ratio, z-stat = 2.781 p = 0.0054), low height-for-age z-score (2.3 odds ratio, z-stat = 2.225, p = 0.0216), lack of any household water treatment (2.5 odds ratio, z-stat = 2.492, p < 0.0012), and open access to household latrine (2.04 odds ratio, z-stat = 1.992, p = 0.0464). The majority (77.3%) of households reported water treatment, boiling and gravity fed filters as the most widespread practices. The vast majority of households (92%) reported usage of a latrine, while 40% reported open and shared access beyond their household. An overwhelming majority of households reported diarrhea and fever several times per year or greater, with approximately half reporting vomiting at that frequency. Lake water use was identified as a risk factor for households reporting frequent gastrointestinal symptoms (odds ratio of 2.5, 4.4, and 2.6; z-stat of 3.10, 3.65, and 3.0; p-values of 0.0021, 0.0003, and 0.0028, for diarrhea, vomiting, and fever, respectively) in children 5 years of age and younger. The frequency of gastrointestinal illness with a strong link to lake drinking water cannot be explained by the prevalence of protozoa, and risk from other enteropathogens must be explored. Improving access to water treatment and sanitation practices could substantially reduce the parasite burden faced by developing children in the region.

Antibiotic use and hygiene interact to influence the distribution of antimicrobial-resistant bacteria in low-income communities in Guatemala.

To examine the effects of poor sanitation and hygiene on the prevalence of antimicrobial-resistant bacteria, we surveyed households in two rural and two urban communities in Guatemala (N = 196 randomly selected households). One adult (≥ 18-years old) and, when available, one child (≤ 5 years-old) provided a stool sample. Up to 48 presumptive Escherichia coli isolates were collected from each stool sample (n = 21,256 total) and were subjected to breakpoint assays for ten antibiotics. Mixed-effects logistic models were used to identify potential factors influencing the likelihood of harboring antibiotic-resistant bacteria. For nine out of ten antibiotics, the odds of detecting resistant bacteria decreased by ~ 32% (odds ratios, OR 0.53-0.8, P < 0.001) for every unit of improvement of a hygiene scale. Hygiene differences between households had a greater impact on prevalence compared to antibiotic use differences. The likelihood of detecting resistant isolates was lower for five antibiotics among households that boiled raw milk before consumption (OR 0.31-0.69), and higher for nine antibiotics in urban households (OR > 1.89-9.6). Poor hygiene conditions likely obscure effects of individual antibiotic use, presumably due to enhanced microbial transmission. Consequently, efforts to improve antibiotic stewardship should be coupled with improving hygiene conditions.

Prevalence and genetic diversity of viral gastroenteritis viruses in children younger than 5 years of age in Guatemala, 2014-2015.

BACKGROUND: Acute diarrhea is an important cause of morbidity and mortality in children and is associated with approximately 500,000 deaths/year globally. Rotavirus and norovirus are leading causes of acute diarrhea accounting for more than half of this burden. OBJECTIVE/STUDY DESIGN: To determine the prevalence and genotype distribution of acute diarrhea caused by rotavirus, norovirus, sapovirus and astrovirus among children <5 years of age at two departments in Guatemala from January 2014 to December 2015, we tested 471 stool specimens (202 samples from hospitalized children and 269 samples from children in ambulatory clinics) by real-time reverse transcription-PCR and genotyped positive samples. RESULTS: Rotavirus was detected in 20.4%, norovirus in 18.5%, sapovirus in 7% and astrovirus in 4.2% of the samples. Co-infection of rotavirus and norovirus was found in 2.6% of the samples. Most norovirus (87.4%) and rotavirus (81.3%) infections were detected in children in the 6-12 months age group. The proportion of patients with rotavirus (34%) and norovirus (23%) was higher in hospitalized patients compared to ambulatory patients, whereas the prevalence of sapovirus and astrovirus was similar in both settings. Of the 40 genotyped norovirus strains, 62.5% were GII.4 and 15% GII.3. Sapovirus genotypes included GI.1 (15.4%), GII.2 (15.4%), GII.5 (38.5%) and GIV.1 (30.8%). CONCLUSIONS: Our data demonstrate that in 2014-2015, gastroenteritis viruses account for 50% of acute diarrhea in children younger than 5 years of age in Guatemala, highlighting the importance of continuous surveillance to guide impact of the current rotavirus vaccine and formulation of future norovirus vaccines.

Early impact of COVID-19 vaccination on older populations in four countries of the Americas, 2021 / Impacto temprano de la vacunación contra la COVID-19 en adultos mayores en cuatro países de las Américas, 2021 / Impacto inicial da vacinação contra a COVID-19 em populações idosas em quatro países das Américas, 2021

ABSTRACT Objective. To estimate the early impact of coronavirus disease 2019 (COVID-19) vaccination on cases in older populations in four countries (Chile, Colombia, Guatemala, and the United States of America), and on deaths in Chile and Guatemala. Methods. Data were obtained from national databases of confirmed COVID-19 cases and deaths and vaccinations between 1 July 2020 and 31 August 2021. In each country, pre- and post-vaccination incidence ratios were calculated for COVID-19 cases and deaths in prioritized groups (50-59, 60-69, and ≥70 years) compared with those in the reference group (<50 years). Vaccination effect was calculated as the percentage change in incidence ratios between pre- and post-vaccination periods. Results. The ratio of COVID-19 cases in those aged ≥50 years to those aged <50 years decreased significantly after vaccine implementation by 9.8% (95% CI: 9.5 to 10.1%) in Chile, 22.5% (95% CI: 22.0 to 23.1%) in Colombia, 20.8% (95% CI: 20.6 to 21.1%) in Guatemala, and 7.8% (95% CI: 7.6 to 7.9%) in the USA. Reductions in the ratio were highest in adults aged ≥70 years. The effect of vaccination on deaths, with time lags incorporated, was highest in the age group ≥70 years in both Chile and Guatemala: 14.4% (95% CI: 11.4 to 17.4%) and 37.3% (95% CI: 30.9 to 43.7%), respectively. Conclusions. COVID-19 vaccination significantly reduced morbidity in the early post-vaccination period in targeted groups. In the context of a global pandemic with limited vaccine availability, prioritization strategies are important to reduce the burden of disease in high-risk age groups.

RESUMEN Objetivo. Estimar el impacto temprano sobre los casos de enfermedad por coronavirus 2019 (COVID-19) obtenido con la vacunación contra la COVID-19 en los grupos poblacionales de edad avanzada en cuatro países (Chile, Colombia, Estados Unidos de América y Guatemala), así como el efecto en la mortalidad en Chile y Guatemala. Métodos. Los datos se obtuvieron a partir de las bases de datos nacionales sobre vacunaciones y sobre casos de COVID-19 y muertes debidas a esta enfermedad entre el 1 de julio del 2020 y el 31 de agosto del 2021. Para cada país, se calcularon las razones de incidencia de casos de COVID-19 y de muertes por COVID-19 anteriores y posteriores a la vacunación en los grupos priorizados (50-59, 60-69 y ≥70 años) en comparación con las del grupo de referencia (<50 años). Se calculó el efecto de la vacunación expresado en forma de variación porcentual de la razón de las incidencias entre el período anterior y el posterior a la vacunación. Resultados. Tras la introducción de la vacuna, la razón de los casos de COVID-19 entre las personas ≥50 años y las <50 disminuyó significativamente en un 9,8% (IC del 95%: 9,5% a 10,1%) en Chile, en un 22,5% (IC del 95%: 22,0% a 23,1%) en Colombia, en un 7,8% (IC del 95%: 7,6% a 7,9%) en Estados Unidos de América y en un 20,8% (IC del 95%: 20,6% a 21,1%) en Guatemala. Las reducciones de la razón fueron máximas en las personas adultas ≥70 años. El efecto de la vacunación sobre las muertes, una vez incorporados los desfases cronológicos, fue máximo en el grupo de personas ≥70 años, tanto en Chile como en Guatemala: 14,4% (IC 95%: 11,4% a 17,4%) y 37,3% (IC 95%: 30,9% a 43,7%), respectivamente. Conclusiones. La vacunación contra la COVID-19 redujo significativamente la morbilidad en el período inmediato posterior a la vacunación en los grupos destinatarios. En el contexto de una pandemia con disponibilidad limitada de vacunas a nivel mundial, las estrategias de asignación de prioridades son un factor importante para reducir la carga de morbilidad en los grupos etarios de alto riesgo.

RESUMO Objetivo. Estimar o impacto inicial da vacinação contra a doença pelo coronavírus 2019 (COVID-19) nos casos em populações idosas de quatro países (Chile, Colômbia, Guatemala e Estados Unidos da América) e nas mortes no Chile e na Guatemala. Métodos. Os dados foram obtidos de bancos de dados nacionais de casos e mortes confirmados por COVID-19 e de vacinações entre 1º de julho de 2020 e 31 de agosto de 2021. Em cada país, foram calculadas taxas de incidência pré e pós-vacinação de casos e mortes por COVID-19 em grupos priorizados (50 a 59, 60 a 69 e ≥70 anos) em comparação com o grupo de referência (<50 anos). O efeito da vacinação foi calculado como a mudança percentual nas taxas de incidência entre os períodos pré e pós-vacinação. Resultados. A incidência de casos de COVID-19 em pessoas com idade ≥50 anos em relação às com idade <50 anos diminuiu significativamente após a implementação da vacina, em 9,8% (IC 95%: 9,5 a 10,1%) no Chile, 22,5% (IC 95%: 22,0 a 23,1%) na Colômbia, 20,8% (IC 95%: 20,6 a 21,1%) na Guatemala e 7,8% (IC 95%: 7,6 a 7,9%) nos EUA. As reduções na incidência foram maiores em adultos com idade ≥70 anos. O efeito da vacinação sobre as mortes, com defasagens temporais incorporadas, foi maior na faixa etária ≥70 anos no Chile e na Guatemala, 14,4% (IC de 95%: 11,4 a 17,4%) e 37,3% (IC de 95%: 30,9 a 43,7%), respectivamente. Conclusões. A vacinação contra a COVID-19 reduziu significativamente a morbidade no início do período pós-vacinação nos grupos-alvo. No contexto de uma pandemia mundial com disponibilidade limitada de vacinas, estratégias de priorização são importantes para reduzir a carga de doença em grupos etários de alto risco.

Population Density, Poor Sanitation, and Enteric Infections in Nueva Santa Rosa, Guatemala.

Poor sanitation could pose greater risk for enteric pathogen transmission at higher human population densities because of greater potential for pathogens to infect new hosts through environmentally mediated and person-to-person transmission. We hypothesized that incidence and prevalence of diarrhea, enteric protozoans, and soil-transmitted helminth infections would be higher in high-population-density areas compared with low-population-density areas, and that poor sanitation would pose greater risk for these enteric infections at high density compared with low density. We tested our hypotheses using 6 years of clinic-based diarrhea surveillance (2007-2013) including 4,360 geolocated diarrhea cases tested for 13 pathogens and a 2010 cross-sectional survey that measured environmental exposures from 204 households (920 people) and tested 701 stool specimens for enteric parasites. We found that population density was not a key determinant of enteric infection nor a strong effect modifier of risk posed by poor household sanitation in this setting.

Salmonella on Raw Poultry in Retail Markets in Guatemala: Levels, Antibiotic Susceptibility, and Serovar Distribution.

The objective of this study was to determine Salmonella numbers on retail raw chicken carcasses in Guatemala and to phenotypically characterize the isolates (serotyping and antibiotic susceptibility). In total, 300 chicken carcasses were collected from seven departments in Guatemala. Salmonella numbers were determined using the most-probable-number method following the U. S. Department of Agriculture's Food Safety and Inspection Service protocol. In total, 103 isolates were obtained, all of which were tested for antibiotic susceptibility, whereas 46 isolates were serotyped. Overall, Salmonella prevalence and mean number (mean log most probable number per carcass) was 34.3% and 2.3 (95% confidence interval: 2.1 to 2.5), respectively. Significant differences (P < 0.05) in Salmonella prevalence were found by storage condition (refrigerated or ambient temperature), market type (wet markets, supermarkets, and independent poultry stores), chicken production system (integrated or nonintegrated production company), and chicken skin color (white or yellow). Chickens produced by integrated companies had lower Salmonella numbers (P < 0.05) than nonintegrated companies, and white-skin carcasses had lower numbers (P < 0.05) than yellow-skin carcasses. Among 13 different Salmonella serovars identified, Paratyphi B (34.8%) was most prevalent, followed by Heidelberg (16.3%) and Derby (11.6%). Of all the Salmonella isolates, 59.2% were resistant to one to three antibiotics and 13.6% to four or more antibiotics. Among all the serovars obtained, Salmonella Paratyphi B and Heidelberg were the most resistant to the antibiotics tested. Salmonella levels and antibiotic resistant profiles among isolates from raw poultry at the retail market level were high relative to other reports from North and South America. These data can be used by Guatemalan stakeholders to develop risk assessment models and support further research opportunities to control transmission of Salmonella spp. and antibiotic-resistant isolates from chicken meat to humans.

Carga de salmonelosis y shigelosis en cuatro departamentos de Guatemala, 2010 / Burden of salmonellosis and shigellosis in four departments of Guatemala, 2010

OBJETIVO: Estimar la carga de enfermedad por Salmonella spp. y Shigella spp. en cuatro departamentos de Guatemala en 2010. MÉTODOS: Estudio de carga de enfermedad basado en el análisis documental de las encuestas poblacionales publicadas, los archivos de laboratorio y los datos de vigilancia del Sistema de Información Gerencial de Salud (SIGSA) de cuatro departamentos de Guatemala: Huehuetenango, Jutiapa, Quetzaltenango y Santa Rosa, en 2010. La información se complementó con una encuesta a laboratorios. La carga de enfermedad se estimó según la metodología de los Centros para el Control y la Prevención de Enfermedades de los Estados Unidos de América, adaptada por la Organización Mundial de la Salud. RESULTADOS: Se encontraron 72 casos de salmonelosis y 172 de shigelosis en los datos de vigilancia. Según las encuestas poblacionales, el porcentaje de la población que consulta los servicios de salud por diarrea es de 64,7% (IC95%: 60,6%-68,7%) en Quetzaltenango y 61,0% (IC95%: 56,0%-66,0%) en Santa Rosa. En los 115 laboratorios que respondieron la encuesta (tasa de respuesta: 72,8%) se recolectaron 6 051 muestras sospechadas para coprocultivo y 3 290 para hemocultivo, y se procesaron 39,4% y 100,0% de ellas, respectivamente. Se aislaron 85 cepas de Salmonella spp. y 113 de Shigella spp. Se estimó que por cada caso notificado de salmonelosis y shigelosis existen 40 casos no informados en Quetzaltenango; 55 en Huehuetenango; 345 en Santa Rosa; y 466 en Jutiapa. La carga de enfermedad estimada varió entre 5 y 2 230 casos por 100 000 habitantes para salmonelosis y entre 60 y 1 195 casos por 100 000 habitantes para shigelosis. CONCLUSIONES: La salmonelosis y la shigelosis constituyen un importante problema de salud pública en los departamentos estudiados y en Guatemala. La carga de enfermedad por estos patógenos es mayor que la informada por el SIGSA.

OBJECTIVE: Estimate the burden of disease from Salmonella spp. and Shigella spp. in four departments of Guatemala in 2010. METHODS: Burden of disease study based on document analysis of published population surveys, laboratory files, and surveillance data from the Health Management Information System (SIGSA) in four departments of Guatemala: Huehuetenango, Jutiapa, Quetzaltenango, and Santa Rosa, in 2010. Information was supplemented by a laboratory survey. Burden of disease was estimated using methodology adapted by the World Health Organization from the United States Centers for Disease Control and Prevention. RESULTS: Surveillance data yielded 72 salmonellosis and 172 shigellosis cases. According to population surveys, the percentage of the population that consults health services for diarrhea is 64.7% (95% CI: 60.6%-68.7%) in Quetzaltenango and 61.0% (95% CI: 56.0%-66.0%) in Santa Rosa. In the 115 laboratories that answered the survey (72.8% response rate), 6 051 suspected samples were collected for stool culture and 3 290 for hemoculture; 39.4% and 100.0% of them were processed, respectively. In all, 85 Salmonella spp. and 113 Shigella spp. strains were isolated. For each reported case of salmonellosis and shigellosis, it was estimated that 40 cases are not reported in Quetzaltenango, 55 in Huehuetenango, 345 in Santa Rosa, and 466 in Jutiapa. Estimated burden of disease ranged from 5 to 2 230 cases per 100 000 population for salmonellosis and from 60 to 1 195 cases per 100 000 population for shigellosis. CONCLUSIONS: Salmonellosis and shigellosis are a major public health problem in the departments studied and in Guatemala. Burden of disease from these pathogens is higher than that reported by SIGSA.

Correlación clínico epidemiológico de la retinopatía del prematuro, en recién nacidos pretérminos de bajo peso al nace, Centro Nacional de Oftalmología enero del 200- junio del 2003 / Epidemiological clinical correlation of the retinopatía of the premature, in newborn pretérminos of under weight to born, National Ophthalmology Center January of the 200 - June of the 2003

La presente investigación tuvo como objetivo fundamental establecer la correlación clínico epidemiológica de la Retinopatía del Prematuro en los niños menores de un año, que asistieron al Centro Nacional de Oftalmología para su valoración oftalmológica, presentando antecedentes de prematuridad y bajo peso al nacer. Dicha retinopatía es una causa importante de ceguera en la infancia y se ha asociado a diversos factores de riesgo. Se realizó un estudio de tipo descriptivo, de corte transversal. El universo estuvo conformado por 80 pacientes menores de un año, con antecedentes de prematuridad y bajo peso al nacer que acudieron por primera vez al Centro Nacional de Oftalmología en el periodo del 1 de Enero del año 2000 al 30 de Junio del 2003. La muestra quedó conformada para los dos primeros objetivos por los niños con y sin retínopatía del prematuro que suman un total de 77 niños. Para el resto de los objetivos, la muestra estuvo constituída solamente por los niños que desarrollaron retinopatía del prematuro (63 pacientes), seleccionados por e! método no probabilístico o por conveniencia, de tipo intencional o deliberado. Los principales resultados del estudio fueron los siguientes : La Retinopatía del prematuro se desarrolló en el 81.8 porciento de los pacientes estudiados. En relación a los factores de riesgo, se observó que el 100 porciento de los niños con menos de 1000 gr de peso al nacer, así como el 100 porciento de los pacientes con menos de 28 semanas de edad gestacional desarrollaron Retinopatía del Prematuro. En cuanto a las patologías perinatales asociadas a Retinopatía del Prematuro se encontró que el 100 prociento de los pacientes que presentaron ya sea apnea o ictericia, o bien aquellos que desarrollaron hemorragia intraventricular, presentaron algún grado de retinopatía.En cuanto a la gravedad de la enfermedad los resultados reflejaron que en el 45.2 porciento de los casos se desarrollaron los estadios leves de la enfermedad, en comparación con el 54.8 porciento que desarrolló los estadios graves de la Retinopatía del Prematuro, de los cuales un 30.2 porciento de los casos alcanzó el estadio umbral, el estadio 4a se desarrolló en el 4 porciento de los ojos, el 0.8 porciento desarrolló el estadio 4b, y un 11.9 porciento desarrolló el estadio 5. Se realizó tratamiento en el 23.8 porciento de los casos, de los cuales a un 22.2 prociento se le aplicó crioterapia y al 1.6 porciento fotocoagulación con láser