Comparison of ddRADseq and EUChip60K SNP genotyping systems for population genetics and genomic selection in Eucalyptus dunnii (Maiden).

Eucalyptus dunnii is one of the most important Eucalyptus species for short-fiber pulp production in regions where other species of the genus are affected by poor soil and climatic conditions. In this context, E. dunnii holds promise as a resource to address and adapt to the challenges of climate change. Despite its rapid growth and favorable wood properties for solid wood products, the advancement of its improvement remains in its early stages. In this work, we evaluated the performance of two single nucleotide polymorphism, (SNP), genotyping methods for population genetics analysis and Genomic Selection in E. dunnii. Double digest restriction-site associated DNA sequencing (ddRADseq) was compared with the EUChip60K array in 308 individuals from a provenance-progeny trial. The compared SNP set included 8,011 and 19,008 informative SNPs distributed along the 11 chromosomes, respectively. Although the two datasets differed in the percentage of missing data, genome coverage, minor allele frequency and estimated genetic diversity parameters, they revealed a similar genetic structure, showing two subpopulations with little differentiation between them, and low linkage disequilibrium. GS analyses were performed for eleven traits using Genomic Best Linear Unbiased Prediction (GBLUP) and a conventional pedigree-based model (ABLUP). Regardless of the SNP dataset, the predictive ability (PA) of GBLUP was better than that of ABLUP for six traits (Cellulose content, Total and Ethanolic extractives, Total and Klason lignin content and Syringyl and Guaiacyl lignin monomer ratio). When contrasting the SNP datasets used to estimate PAs, the GBLUP-EUChip60K model gave higher and significant PA values for six traits, meanwhile, the values estimated using ddRADseq gave higher values for three other traits. The PAs correlated positively with narrow sense heritabilities, with the highest correlations shown by the ABLUP and GBLUP-EUChip60K. The two genotyping methods, ddRADseq and EUChip60K, are generally comparable for population genetics and genomic prediction, demonstrating the utility of the former when subjected to rigorous SNP filtering. The results of this study provide a basis for future whole-genome studies using ddRADseq in non-model forest species for which SNP arrays have not yet been developed.

Strengthening surveillance, disease detection, and outbreak response through Guinea-Bissau's Frontline Field Epidemiology Training Program: a cross-sectional descriptive study.

Introduction: the goal of the Field Epidemiology Training Program (FETP) - Frontline is to strengthen the country's surveillance capacity at the district level to prepare and respond to health emergencies, including outbreaks, by training a skilled frontline public health workforce. We describe the FETP - Frontline program, including implementation, structure, achievements, impact, and its role in improving the epidemiological workforce capacity of Guinea-Bissau. Methods: this cross-sectional descriptive study uses 2015-2019 program data collected through record reviews and historical narratives from FETP students and graduates. We generated descriptive summary statistics using the Guinea-Bissau's FETP-Frontline program database, student assignments, and investigation reports, after reviewing the FETP standardized curriculum and program guidelines. Results: since its inception in 2016, FETP Frontline has implemented 14 cohorts and trained 198 frontline surveillance officers. Program participants improved surveillance data quality, investigated 51 outbreaks at national and regional levels, and contributed to disease research and surveillance in 227 separate field investigations. Participants frequently responded to priority health emergencies, including clusters or outbreaks of Zika, microencephalies, dengue, yellow fever, anthrax, malaria, and tuberculosis. Conclusion: Guinea-Bissau's FETP - Frontline program provides a practical example of an effective strategy to strengthen health systems through a well-prepared workforce trained to quickly detect and respond to health threats.

Surveillance Training for Ebola Preparedness in Côte d'Ivoire, Guinea-Bissau, Senegal, and Mali.

The 2014-2015 epidemic of Ebola virus disease in West Africa primarily affected Guinea, Liberia, and Sierra Leone. Several countries, including Mali, Nigeria, and Senegal, experienced Ebola importations. Realizing the importance of a trained field epidemiology workforce in neighboring countries to respond to Ebola importations, the Centers for Disease Control and Prevention Field Epidemiology Training Program unit implemented the Surveillance Training for Ebola Preparedness (STEP) initiative. STEP was a mentored, competency-based initiative to rapidly build up surveillance capacity along the borders of the at-risk neighboring countries Côte d'Ivoire, Mali, Senegal, and Guinea-Bissau. The target audience was district surveillance officers. STEP was delivered to 185 participants from 72 health units (districts or regions). Timeliness of reporting and the quality of surveillance analyses improved 3 months after training. STEP demonstrated that mentored, competency-based training, where learners attain competencies while delivering essential public health services, can be successfully implemented in an emergency response setting.

Frontline Field Epidemiology Training Programs as a Strategy to Improve Disease Surveillance and Response.

Since 1980, Field Epidemiology Training Programs (FETPs) have trained highly qualified field epidemiologists to work for ministries of health (MOH) around the world. However, the 2013-2015 Ebola epidemic in West Africa, which primarily affected Guinea, Liberia, and Sierra Leone, demonstrated a lack of field epidemiologists at the local levels. Trained epidemiologists at these levels could have detected the Ebola outbreak earlier. In 2015, the US Centers for Disease Control and Prevention (CDC) launched FETP-Frontline, a 3-month field training program targeting local MOH staff in 24 countries to augment local public health capacity. As of December 2016, FETP-Frontline has trained 1,354 graduates in 24 countries. FETP-Frontline enhances global health security by training local public health staff to improve surveillance quality in their jurisdictions, which can be a valuable strategy to strengthen the capacity of countries to more rapidly detect, respond to, and contain public health emergencies at the source.

Strong and Flexible: Developing a Three-Tiered Curriculum for the Regional Central America Field Epidemiology Training Program.

Field Epidemiology Training Programs (FETPs) are recognized worldwide as an effective means to strengthen countries' capacity in epidemiology, surveillance, and outbreak response. FETPs are field-based, with minimum classroom time and maximum time in the field, providing public health services while participants achieve competency. The Central America FETP (CAFETP) uses a three-level pyramid model: basic, intermediate, and advanced. In 2006, a multidisciplinary team used a methodical process based on adult learning practices to construct a competency-based curriculum for the CAFETP. The curriculum was designed based on the tasks related to disease surveillance and field epidemiology that public health officers would conduct at multiple levels in the system. The team used a design process that engaged subject matter experts and considered the unique perspective of each country. The designers worked backwards from the competencies to define field activities, evaluation methods, and classroom components. The 2006 pyramid curriculum has been accredited for a master's of science in field epidemiology by the Universidad del Valle de Guatemala and has been adapted by programs around the world. The team found the time and effort spent to familiarize subject matter experts with key adult learning principles was worthwhile because it provided a common framework to approach curriculum design. Early results of the redesigned curriculum indicate that the CAFETP supports consistent quality while allowing for specific country needs.

Central America Field Epidemiology Training Program (CA FETP): a pathway to sustainable public health capacity development.

The Central America Field Epidemiology Training Program (CA FETP) is a public health capacity-building training programme aimed at developing high-caliber field epidemiologists at various levels of the public health system. It began in 2000 as part of the effort to rebuild public health infrastructure in six Central American and Caribbean countries following the devastation of Hurricanes Mitch and Georges in late 1998. Since then, the CA FETP has evolved from one regional training programme managed by CDC to several national FETPs with each country assuming ownership of its domestic programme. The curriculum is competency-based, and is divided into a three-tiered training pyramid that corresponds to the needs at the local, district and central levels of the health system. Trainees at each tier spend about 20% of their time in the classroom and 80% in the field implementing what they have learned while being mentored by graduates of the programme. FETP trainees have responded to multiple natural disasters and conducted hundreds of investigations including surveillance evaluations, outbreak responses and planned studies. Also graduates of the CA FETP are assuming influential positions in their respective ministries. As countries meet the challenge of institutionalizing their programmes, the CA FETP concept will increasingly be recognized as a model for sustainable public health capacity development.

End-stage renal disease and its treatment in Latin America in the twenty-first century.

The Latin American Society of Nephrology and Arterial Hypertension's Dialysis and Transplant Registry was chartered in 1991. It collects information on ESRD and its treatment in 20 countries of the region. The prevalence of patients on renal replacement therapy (RRT) increased from 129 pmp in 1992 to 447 pmp in 2004; in 2004, 56% of the patients were on hemodialysis, 23% on peritoneal dialysis, and 21% had a functioning kidney graft. The highest rates of prevalence were reported in Puerto Rico (1027 pmp), Chile (686 pmp), and Uruguay (683 pmp). Hemodialysis was widely used, except in El Salvador, Mexico, Guatemala, Nicaragua, and the Dominican Republic, where peritoneal dialysis predominated. Incidence rate increased from 27.8 pmp to 147 pmp in the same period of observation; the lowest rate was reported in Guatemala (11.4 pmp) and the highest in Puerto Rico (337.4 pmp). Diabetes mellitus was the leading cause of renal failure in incident patients; the highest rates were reported in Puerto Rico (62.2%) and Mexico (60%). Forty-four percent of the incident population were older than 65 years. Access to renal replacement therapy was universal in Argentina, Brazil, Chile, Cuba, Puerto Rico, Uruguay, and Venezuela, while was restricted in other countries. Main causes of death in dialysis were cardiovascular (44%) and infectious disease (26%). The rate of renal transplantation increased from 3.7 pmp in 1987 to 14.5 in 2004; fifty-three percent of the organs came from cadavers. Overall, donation rate was 5.9 pmp. In conclusion, the prevalence and incidence rates have increased over the years, and diabetes mellitus has emerged as the leading cause of kidney disease in the region. Although the rate of kidney transplantation has increased, the number remains insufficient to match the growing demand. The implementation of renal health programs in the region is urgently needed.

Poverty is a predictor of non-communicable disease among adults in Peruvian cities.

BACKGROUND: Rapid health and nutrition transitional changes are resulting in greater prominence of non-communicable disease (NCD) in Latin America, particularly among the poor. OBJECTIVE: The study aims to examine the extent to which NCD pxfsrevails in Peru and the socioeconomic status (SES) as a risk factor. DESIGN: Between 1998 and 2000, health surveys and clinical assessments were completed on 2337 adults in six cities, 18 to 60 years of age. Stratified by social class, multi-staged random sampling was used. Anthropometric data, blood pressure and serum samples were collected. RESULTS: Adjusting for age, hypertension, low HDL cholesterol, high total cholesterol and diabetes was found in 47%, 40%, 21% and 17% of women and in 44%, 38%, 27% and 19% of men, respectively. Over one quarter of the population exhibited multiple risk factors, not including overweight and obesity. Across all study sites, lowest SES revealed highest burden of NCD and appeared as an independent risk factor for associated NCD indicators. CONCLUSION: The high prevalence of NCD in urban areas of Peru is not only associated with excess body weight, but also with poverty itself. The greater burden of NCD in the poorest areas of society requires a better understanding of causal determinants and may have implications in terms of public health policies and interventions.

Social class, family, and life-style factors associated with overweight and obesity among adults in Peruvian cities.

BACKGROUND: Overweight and obesity have reached epidemic proportions in Latin America. OBJECTIVE: The purpose of this study was to explore social and behavioral factors associated with obesity in Peruvian cities. DESIGN: Between 1998 and 2000 health examination surveys were conducted among adults in 1176 families identified in six cities. Stratified by social class, multistaged random sampling was used. Using body mass index (weight (kg)/height (m)(2)), men and women were classified into normal weight (BMI <25), overweight (BMI 25-29), or obese (BMI > or =30); abdominal circumference (> or =94 cm in men and > or =84 cm in women) further identified morbidity risk. Several demographic, social, and behavioral variables were collected following standardized procedures. RESULTS: Adjusting for age, 37% of women were categorized as normal weight, 40% overweight, and 23% obese; corresponding figures for men were 40, 44, and 16%. More developed cities, e.g., Lima, Arequipa, and Ica, had the largest prevalence of overweight and obesity for both men and women. Adjusted logistic models showed that BMI > or =25 was positively correlated with age; whereas, education was negatively associated, only among women. Other significant associated factors of overweight included city of residence, television viewing > or =4 h daily in women, and underestimation of body weight status. CONCLUSIONS: The study showed elevated rates of overweight across the income level spectrum. Factors such as urban development stage, income, education, and gender posed differential relationships with the risk of overweight and must be considered in designing future public health interventions. Underestimation of body weight status and sedentary behavior may also constitute specific areas of intervention.

La explotación quinera en el piedemonte amazónico. Auge y crisis / The quina explotation in the Amazonian piedemont. Apogee and crisis

Sinopsis de la explotación de la quina en el piedemonte de la amazonía