Genomic Surveillance of SARS-CoV-2 Variants in the Dominican Republic and Emergence of a Local Lineage.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an RNA virus that evolves over time, leading to new variants. In the current study, we assessed the genomic epidemiology of SARS-CoV-2 in the Dominican Republic. A total of 1149 SARS-CoV-2 complete genome nucleotide sequences from samples collected between March 2020 and mid-February 2022 in the Dominican Republic were obtained from the Global Initiative on Sharing All Influenza Data (GISAID) database. Phylogenetic relationships and evolution rates were analyzed using the maximum likelihood method and the Bayesian Markov chain Monte Carlo (MCMC) approach. The genotyping details (lineages) were obtained using the Pangolin web application. In addition, the web tools Coronapp, and Genome Detective Viral Tools, among others, were used to monitor epidemiological characteristics. Our results show that the most frequent non-synonymous mutation over the study period was D614G. Of the 1149 samples, 870 (75.74%) were classified into 8 relevant variants according to Pangolin/Scorpio. The first Variants Being Monitored (VBM) were detected in December 2020. Meanwhile, in 2021, the variants of concern Delta and Omicron were identified. The mean mutation rate was estimated to be 1.5523 × 10-3 (95% HPD: 1.2358 × 10-3, 1.8635 × 10-3) nucleotide substitutions per site. We also report the emergence of an autochthonous SARS-CoV-2 lineage, B.1.575.2, that circulated from October 2021 to January 2022, in co-circulation with the variants of concern Delta and Omicron. The impact of B.1.575.2 in the Dominican Republic was minimal, but it then expanded rapidly in Spain. A better understanding of viral evolution and genomic surveillance data will help to inform strategies to mitigate the impact on public health.

Monitoring Temporal Changes in SARS-CoV-2 Spike Antibody Levels and Variant-Specific Risk for Infection, Dominican Republic, March 2021-August 2022.

To assess changes in SARS-CoV-2 spike binding antibody prevalence in the Dominican Republic and implications for immunologic protection against variants of concern, we prospectively enrolled 2,300 patients with undifferentiated febrile illnesses in a study during March 2021-August 2022. We tested serum samples for spike antibodies and tested nasopharyngeal samples for acute SARS-CoV-2 infection using a reverse transcription PCR nucleic acid amplification test. Geometric mean spike antibody titers increased from 6.6 (95% CI 5.1-8.7) binding antibody units (BAU)/mL during March-June 2021 to 1,332 (95% CI 1,055-1,682) BAU/mL during May-August 2022. Multivariable binomial odds ratios for acute infection were 0.55 (95% CI 0.40-0.74), 0.38 (95% CI 0.27-0.55), and 0.27 (95% CI 0.18-0.40) for the second, third, and fourth versus the first anti-spike quartile; findings were similar by viral strain. Combining serologic and virologic screening might enable monitoring of discrete population immunologic markers and their implications for emergent variant transmission.

Strengthening research ethics governance and regulatory oversight in Central America and the Dominican Republic in response to the COVID-19 pandemic: a qualitative study.

BACKGROUND: Good governance and regulatory supervision are required to conduct research in an international public health emergency context and to ensure compliance with ethical standards. The "Strengthening research ethics governance and regulatory oversight in Central America and the Dominican Republic in response to the COVID-19 pandemic" study is a regional effort in which research ethics stakeholders participated in addressing research ethics governance and preparedness response challenges to the COVID-19 pandemic in Central America and the Dominican Republic. METHODS: A qualitative action research study was conducted following a participatory approach. Research ethics stakeholders in Central America and the Dominican Republic were mapped; a regional webinar and three virtual workshops were conducted discussing research ethics governance, ethics review and collaborative research practice during the pandemic. A roundtable session presented results and obtained feedback on a draft of a policy to strengthen regional research ethics governance. RESULTS: Countries across Central America and the Dominican Republic are at different stages in their development of research ethics systems. Countries with more established systems before COVID-19 were better organized and prepared to respond. This finding argues against improvisation and supports further work on strengthening governance of research ethics systems. Community engagement in research ethics public policy-making is practically absent in the region. Research and research ethics collaboration schemes are lacking amongst the countries; however, there are incipient initiatives in the region, such as the Central America and Caribbean Network of Research Ethics Committees. A policy brief with recommendations on how to advance towards strengthening the governance of research ethics systems was prepared and submitted to the Central American Integration System for analysis and possible approval. CONCLUSION: National research ethics systems in Central America and the Dominican Republic were unprepared to respond to the COVID-19 pandemic with respect to research oversight and effective collaboration. In most cases, national research ethics systems were found to be weak, and regional research collaboration was practically absent. To promote collaboration, a joint strategy needs to be developed with a regional vision towards sharing knowledge and best practices.

Evaluation of sample pooling for the detection of SARS-CoV-2 in a resource-limited setting, Dominican Republic.

INTRODUCTION: COVID-19 is a worldwide public health threat. Diagnosis by RT-PCR has been employed as the standard method to confirm viral infection. Sample pooling testing can optimize the resources by reducing the workload and reagents shortage, and be useful in laboratories and countries with limited resources. This study aims to evaluate SARS-CoV-2 detection by sample pooling testing in comparison with individual sample testing. MATERIALS AND METHODS: We created 210 pools out of 245 samples, varying from 4 to 10 samples per pool, each containing a positive sample. We conducted detection of SARS-CoV-2-specific RdRp/E target sites. RESULTS: Pooling of three samples for SARS-CoV-2 detection might be an efficient strategy to perform without losing RT-PCR sensitivity. CONCLUSIONS: Considering the positivity rate in Dominican Republic and that larger sample pools have higher probabilities of obtaining false negative results, the optimal sample size to perform a pooling strategy shall be three samples.

Returning to normal? 'Building back better' in the Dominican education system after Tropical Storm Erika and Hurricane Maria.

Child-centred disaster risk reduction aims to reduce child vulnerability and increase resilience to disasters. The 2015 Comprehensive School Safety Framework (CSSF) sought to decrease hazard risks to education. Between 2015 and 2017, Dominica was struck by Tropical Storm Erika and Hurricane Maria, which significantly affected the education system at the local and national scales. Since Maria, a couple of national initiatives (Safer Schools and Smart Schools) have been introduced to increase resilience and meet the CSSF's objectives. This paper assesses progress made through a qualitative analysis of interviews with 29 school leaders, government officials, and disaster risk reduction stakeholders. Implementation of the climate resilience programme in 2018 resulted in nationwide teacher training and production of school disaster plans. Limited successes have improved social resilience, but short-term implementation due to COVID-19 and a lack of a teacher knowledge base have presented challenges to the scheme's long-term sustainability and the implementation of the CSSF's goals.

Structural and Psychosocial Impacts of the COVID-19 Pandemic on HIV Care and Treatment Outcomes Among Female Sex Workers in the Dominican Republic.

BACKGROUND: The COVID-19 pandemic and its associated socioeconomic disruptions have disproportionally affected marginalized populations, including people living with HIV. Little is known about how the pandemic has affected populations experiencing multiple forms of stigma, discrimination, and violence, such as female sex workers (FSW) living with HIV. METHODS: We conducted a cross-sectional survey between August and December 2020 among 187 FSW living with HIV in the Dominican Republic to examine the impact of COVID-19. Using multivariable logistic regression, we examined associations between COVID-19-related financial concerns, mental health, substance use, and partner abuse on engagement in HIV care and antiretroviral therapy adherence. We conducted mediation analysis to assess whether mental health challenges mediated the impact of partner abuse or substance use on HIV outcomes. RESULTS: Most participants reported no income (72%) or a substantial decline in income (25%) since the COVID-19 pandemic. Approximately one-third of the participants (34%) reported COVID-19 had an impact on their HIV care and treatment. Greater COVID-19 financial concerns (adjusted odds ratio [aOR] = 1.14, 95% CI: 1.02 to 1.27), mental health challenges (aOR = 1.38, 95% CI: 1.06 to 1.79), and partner emotional abuse (aOR = 2.62, 95% CI: 1.01 to 6.79) were associated with higher odds of negatively affected HIV care, respectively. The relationship between increased emotional partner abuse and negatively affected HIV care was mediated by greater COVID-19-related mental health challenges. CONCLUSIONS: FSW living with HIV in the Dominican Republic have been significantly affected by the COVID-19 pandemic. Targeted interventions that address structural (financial security and partner abuse) and psychosocial (mental health) factors are needed to sustain HIV outcomes and well-being.

Tracking the impact of the COVID-19 pandemic on routine infant vaccinations in the Dominican Republic.

As the COVID-19 pandemic progresses, millions of infants are unprotected against immune-preventable diseases due to interruptions in vaccination services. The direct effects of the pandemic, as well as the non-pharmacological interventions for its containment, mitigation and suppression adopted by many countries, have affected their vaccination programs. We conducted an ecological study analyzing the performance of the vaccination program in the Dominican Republic before (2019) and during the COVID-19 pandemic (2020). We compared annual public coverage data, analyzed trends and changes in coverage, dropout rate, and number of partially and unvaccinated infants by geographic area and COVID-19 incidence rate. Compared to baseline, coverage for all vaccines decreased by 10.4 (SD, 3.6) percent; among these, coverage for the third dose of the pentavalent vaccine decreased from 90.1% in 2019 to 81.1% in 2020. The number of partially vaccinated (n = 34,185) and unvaccinated (n = 5,593) infants increased 66% and 376%, respectively. The slight increase in the annual dropout rate (1.1%) was directly proportional to the number of COVID-19 cases per month. We found a significant association between the annual absolute change of Penta3 and the subnational Human Development Index. The pandemic significantly weakened the performance of the routine vaccination program. Interventions are needed to recover and maintain lost vaccination coverage, reducing the risk of outbreaks of preventable diseases, especially in those provinces with less human development.

Seroprevalence of Specific Antibodies against SARS-CoV-2 from Hotspot Communities in the Dominican Republic.

Seroprevalence surveys are of utmost importance to assess the proportion of a population that has developed antibodies against a newly introduced virus and could therefore potentially exhibit immunologic protection against subsequent infection. This study aims to understand the distribution of IgM and IgG antibodies in the Dominican Republic. We surveyed a total of 12,897 participants between April and June 2020 in 10 provinces of the Dominican Republic. Survey efforts in emerging hotspots yielded a positivity for all participants of anti-SARS-CoV-2 IgM of 3.8% and IgG of 5.4%, indicating that the pathogen was in circulation before the identification of those particular communities as hotspots. We found important age differences between participants who participated in the serological study where a higher mean age is associated IgM positivity and a lower age with IgG positivity. Our results highlight the need for strategies that involve community-based seroprevalence monitoring. These should preclude syndromic case identification. Also, the higher mean age of IgM-positive participants suggests that strategies based on syndromic surveillance could identify hotspots at later phases, based on the number of cases detected at the healthcare center, as such community-based seroprevalence monitoring may be an effective intervention for future outbreaks.

Helping Mothers Survive: Program Evaluation and Early Outcomes of Maternal Care Training in the Dominican Republic.

Introduction: In 2017, approximately 295,000 women died during and immediately following pregnancy and childbirth worldwide, with 94% of these deaths occurring in low-resource settings. The Dominican Republic (DR) exhibits one of the highest maternal mortality ratios in the region of Latin America and the Caribbean despite the fact that 99% of registered births in the country are reportedly attended by a skilled birth attendant. This paradox implies that programs to support healthcare worker knowledge and skills improvement are vital to improving maternal health outcomes in the DR. Helping Mothers Survive (HMS) is a provider training program developed by Jhpiego and global partners. The goal of HMS is to combat maternal mortality by contributing to quality improvement efforts that reinforce maternal health skills of local healthcare workers. Methods: An international, multisectoral group of stakeholders collaborated in the implementation of two HMS curricula, Bleeding After Birth (BAB) and pre-eclampsia & eclampsia (PE&E). Demographic information as well as pre- and post-training knowledge scores were recorded for each participant. Knowledge score improvement was assessed in order to support effectiveness of the program on knowledge acquisition of healthcare workers. Results: Three hundred and twenty healthcare workers participated in the HMS training workshops between October 2016-August 2020. Of the 320 participants, 132 were trained as master trainers. The majority of participants identified as attending physicians, followed by residents/interns, nurses, students, and "other." A significant improvement in knowledge scores was observed for both the BAB and PE&E curricula, with a 21.24 and 30.25% change in average score (pre- to post-test), respectively. In response to COVID-19 pandemic restrictions, flexibility of the local team led to a PE&E virtual training pilot workshop in August 2020. Discussion/Conclusions: Simulation-based training improved the knowledge levels of healthcare workers for both HMS curricula. These results suggest that simulation-based workshops have an impact on knowledge acquisition and skills of healthcare workers immediately following training. For the PE&E curriculum, no significant difference in knowledge acquisition was observed between in-person and virtual training sessions. The ongoing pandemic poses challenges to program implementation; however, these preliminary results provide evidence that conducting virtual workshops may be a viable alternative to in-person training.

Misinformation on COVID-19 origin and its relationship with perception and knowledge about social distancing: A cross-sectional study.

Despite the vast scientific evidence obtained from the genomic sequencing of COVID-19, controversy regarding its origin has been created in the mass media. This could potentially have a long-term influence on the behavior among individuals, such as failure to comply with proposed social distancing measures, leading to a consequent rise in the morbidity and mortality rates from COVID-19 infection. Several studies have collected information about knowledge, attitudes, and practices regarding COVID-19; however, very little is known about the relationship of the perceptions of the individuals regarding the origin of the virus with the knowledge and perception about social distancing. This study aimed at ascertaining this relationship. For such purpose, a web-based cross-sectional study was conducted among a sample population from five provinces of the Dominican Republic from June to July of 2020. The data collection instrument exploited in the study was a self-designed questionnaire distributed throughout different social media platforms. A purposive sampling strategy was implemented and a total of 1195 respondents completed the questionnaire. The collected data was analyzed using SPSS. Descriptive statistics, stepwise multiple linear regression, and one-way multivariate analysis were implemented to test the hypotheses. The level of education was significantly associated (P = .017) with individuals' perception about the origin of COVID-19, whilst only age (P = .032) and education level (P < .001) statistically significantly predicted 'knowledge about social distancing'. Perception of COVID-19 origin was statistically significant associated (P = < .001) with the measures of the dependent variables (knowledge and perception on social distancing). The present study has established a possible link between the 'perception of COVID-19 origin' and 'the perception and knowledge about social distancing'.

A COVID-19 pandemic-specific, structured care process for peritoneal dialysis patients facilitated by telemedicine: Therapy continuity, prevention, and complications management.

Coronavirus disease 2019 (COVID-19) has been declared a pandemic. Peritoneal dialysis (PD), being a home therapy, allows for physical distancing measures and movement restrictions. In order to prevent COVID-19 contagioun among the Dominican Republic National Health System PD program patients, a follow-up virtual protocol for this group was developed. The aim of this study is to outline the protocol established by the PD program's healthcare team using telemedicine in order to avoid COVID-19 transmission and to report initial results and outcomes of this initiative. This is an observational prospective longitudinal study with 946 patients being treated in seven centers distributed throughout the country between April 1 and June 30. The protocol was implemented focusing on the patient follow-up; risk mitigation data were registered and collected from electronic records. During the follow-up period, 95 catheters were implanted, 64 patients initiated PD, and the remaining were in training. A total of 9532 consultations were given by the different team specialists, with 8720 (91%) virtual and 812 (9%) face-to-face consultations. The transfer rate to hemodialysis was 0.29%, whereas the peritonitis rate was 0.11 episode per patient/year. Eighteen adults tested positive for COVID-19. The implementation of the protocol and telemedicine utilization have ensured follow-up and monitoring, preserved therapy, controlled complications, and PD lives protected.

Spread of SARS-CoV-2 through Latin America and the Caribbean region: A look from its economic conditions, climate and air pollution indicators.

We have evaluated the spread of SARS-CoV-2 through Latin America and the Caribbean (LAC) region by means of a correlation between climate and air pollution indicators, namely, average temperature, minimum temperature, maximum temperature, rainfall, average relative humidity, wind speed, and air pollution indicators PM10, PM2.5, and NO2 with the COVID-19 daily new cases and deaths. The study focuses in the following LAC cities: Mexico City (Mexico), Santo Domingo (Dominican Republic), San Juan (Puerto Rico), Bogotá (Colombia), Guayaquil (Ecuador), Manaus (Brazil), Lima (Perú), Santiago (Chile), São Paulo (Brazil) and Buenos Aires (Argentina). The results show that average temperature, minimum temperature, and air quality were significantly associated with the spread of COVID-19 in LAC. Additionally, humidity, wind speed and rainfall showed a significant relationship with daily cases, total cases and mortality for various cities. Income inequality and poverty levels were also considered as a variable for qualitative analysis. Our findings suggest that and income inequality and poverty levels in the cities analyzed were related to the spread of COVID-19 positive and negative, respectively. These results might help decision-makers to design future strategies to tackle the spread of COVID-19 in LAC and around the world.

COVID-19 in the Americas: Who's Looking After Refugees and Migrants?

Several characteristics of refugee and migrant populations make them susceptible to acquire COVID-19. To fully understand the impact of COVID-19 on refugees and migrants in the Americas, it is important to consider the broader geopolitical context and appreciate the differences among migratory groups. There are three migrant groups in the Americas that are particularly susceptible to COVID-19: Central American migrants at the northern Mexico border, Venezuelans within South America, and Haitians in the Dominican Republic. Refugees and displaced migrants are the world's collective responsibility, and thus, it would be imprudent to displace their care to resource constrained developing nations.

COVID-19 and Fake News in the Dominican Republic.

The first case of novel coronavirus disease (COVID-19) in the Dominican Republic coincided with a period of political crisis. Distrust in governmental institutions shaped the critical phase of early response. Having a weak public health infrastructure and a lack of public trust, the Ministry of Health (MoH) began the fight against COVID-19 with a losing streak. Within 45 days of the first reported case, the political crisis and turmoil caused by "fake news" are limiting the capacity and success of the MoH response to the pandemic.