Epidemiological Analysis of COVID-19 Cases in Native Amazonian Communities from Peru.
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ABSTRACT:
SUBMITTER: Pajuelo-Reyes C
PROVIDER: S-EPMC9620947 | biostudies-literature | 2021 Oct
REPOSITORIES: biostudies-literature
Publications
Epidemiological Analysis of COVID-19 Cases in Native Amazonian Communities from Peru.
Pajuelo-Reyes Cecilia C Valencia Hugo J HJ Montenegro Carla C CC Quezada Eduardo E Gonzales Lizandro L Cruz Norma N Canelo Carlos C Ordinola Carla C Maicelo Quintana Jorge L JL Tejedo Juan R JR Tapia-Limonchi Rafael R Chenet Stella M SM
Epidemiologia (Basel, Switzerland) 20211009 4
Despite early control measures, SARS-CoV-2 reached all regions of Peru during the first wave of the pandemic, including native communities of the Peruvian Amazon. Here, we aimed to describe the epidemiological situation of COVID-19 in the Amazonas region of Peru using an open database of 11,124 COVID-19 cases reported from 19 March to 29 July 2020, including 3278 cases from native communities. A high-incidence area in northern Amazonas (Condorcanqui) reported a cumulative incidence of 63.84/1000 ...[more]
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Project description:BackgroundFew studies have described the clinical characteristics of patients with COVID-19 from ethnic minority groups. Our objective was to evaluate the mortality and incidence rates, clinical characteristics and factors associated with mortality in cases with COVID-19 belonging to the Amazonian indigenous ethnic group in Peru.MethodsWe performed a retrospective cohort study including all cases from COVID-19 among Peruvian people identified as Amazonian indigenous from 07 March to 31 October 2020. We calculated the standardized mortality and incidence ratios using the indirect age-adjusted method to determine the differences between Amazonian Indigenous and the general population. In addition, we used multivariable logistic regression to determine the risk factors for death.ResultsA total of 19 018 laboratory confirmed COVID-19 cases were analyzed. Indigenous people had 3.18 (95% CI, 3.13-3.23) times the risk of infection and 0.34 (0.31-0.37) times the mortality risk of the general Peruvian population. Males had 1.29 (1.04-1.61) times the odds of death compared with females and for each year of age, the odds of mortality increased 1.03 (1.03-1.04) times. Cases with respiratory distress had 2.47 (1.96-3.10) times more likely to die. Having an immunodeficiency was 18.7 (6.12-57.00) times more likely to die.DiscussionThe Amazonian indigenous population in Peru was strongly affected by COVID-19 compared with the general Peruvian population.
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Project description:BackgroundMalaria remains a serious health threat in the Amazonas Region of Peru and approximately 95% of the cases, mainly Plasmodium vivax, are found in native communities of The Rio Santiago District, Condorcanqui Province. In 2019, more than one thousand malaria cases were reported, with an unusual number of Plasmodium falciparum autochthonous cases. The present study aims to report this P. falciparum outbreak while describing the epidemiology of malaria and the risk factors associated in the native communities of Amazonas, Peru.MethodsThe DIRESA-Amazonas in collaboration with the Condorcanqui Health Network and the Institute of Tropical Diseases of the UNTRM carried out a malaria Active Case Detection (ACD III) between January 31st and February 10th of 2020. A total of 2718 (47.4%) individuals from 21 native communities grouped in eight sanitary districts, were screened for malaria infections. Each participant was screened for malaria using microscopy. Follow-up surveys were conducted for all malaria positive individuals to collect socio-demographic data. Spatial clustering of infection risk was calculated using a generalized linear model (GLM). Analysis of risk considered factors such as gender, age, type of infection, symptomatology, and parasitaemia.ResultsThe study suggests that the P. falciparum index case was imported from Loreto and later spread to other communities of Rio Santiago during 2019. The ACD III reported 220 (8.1%) malaria cases, 46 P. falciparum, 168 P. vivax and 6 mixed infections. SaTScan analysis detected a cluster of high infection risk in Middle Rio Santiago and a particular high P. falciparum infection risk cluster in Upper Rio Santiago. Interestingly, the evaluation of different risk factors showed significant associations between low parasitaemia and P. falciparum asymptomatic cases.ConclusionThis is the first report of a P. falciparum outbreak in native communities of Condorcanqui, Amazonas. Timely identification and treatment of symptomatic and asymptomatic cases are critical to achieve malaria control and possible elimination in this area. However, the current malaria situation in Condorcanqui is uncertain, given that malaria ACD activities have been postponed due to COVID-19.
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Project description:Genetic factors associated with COVID-19 disease outcomes are poorly understood. This study aimed to associate genetic variants in the SLC6A20, LZTFL1, CCR9, FYCO1, CXCR6, XCR1, and ABO genes with the risk of severe forms of COVID-19 in Amazonian Native Americans, and to compare the frequencies with continental populations. The study population was composed of 64 Amerindians from the Amazon region of northern Brazil. The difference in frequencies between the populations was analyzed using Fisher's exact test, and the results were significant when p ≤ 0.05. We investigated 64 polymorphisms in 7 genes; we studied 47 genetic variants that were new or had impact predictions of high, moderate, or modifier. We identified 15 polymorphisms with moderate impact prediction in 4 genes (ABO, CXCR6, FYCO1, and SLC6A20). Among the variants analyzed, 18 showed significant differences in allele frequency in the NAM population when compared to others. We reported two new genetic variants with modifier impact in the Amazonian population that could be studied to validate the possible associations with COVID-19 outcomes. The genomic profile of Amazonian Native Americans may be associated with protection from severe forms of COVID-19. This work provides genomic data that may help forthcoming studies to improve COVID-19 outcomes.
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Project description:An early detection tool for latent COVID-19 infections in oncology staff and patients is essential to prevent outbreaks in a cancer center. (1) Background: In this study, we developed and implemented two early detection tools for the radiotherapy area to identify COVID-19 cases opportunely. (2) Methods: Staff and patients answered a questionnaire (electronic and paper surveys, respectively) with clinical and epidemiological information. The data were collected through two online survey tools: Real-Time Tracking (R-Track) and Summary of Factors (S-Facts). Cut-off values were established according to the algorithm models. SARS-CoV-2 qRT-PCR tests confirmed the positive algorithms individuals. (3) Results: Oncology staff members (n = 142) were tested, and 14% (n = 20) were positives for the R-Track algorithm; 75% (n = 15) were qRT-PCR positive. The S-Facts Algorithm identified 7.75% (n = 11) positive oncology staff members, and 81.82% (n = 9) were qRT-PCR positive. Oncology patients (n = 369) were evaluated, and 1.36% (n = 5) were positive for the Algorithm used. The five patients (100%) were confirmed by qRT-PCR. (4) Conclusions: The proposed early detection tools have proved to be a low-cost and efficient tool in a country where qRT-PCR tests and vaccines are insufficient for the population.
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