Undocumented Migrants Reintroducing COVID-19, Yunnan Province, China.
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ABSTRACT:
SUBMITTER: Zhang M
PROVIDER: S-EPMC8084479 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Yunnan Province, China is thought to be the original source of biovar Orientalis of Yersinia pestis, the causative agent of the third plague pandemic that has spread globally since the end of the 19th century. Although encompassing a large area of natural plague foci, Y. pestis strains have rarely been found in live rodents during surveillance in Yunnan, and most isolates are from rodent corpses and their fleas. In 2017, 10 Y. pestis strains were isolated from seven live rodents and three fleas in Heqing County (HQ) of Yunnan. These strains were supposed to have low virulence to local rodents Eothenomys miletus and Apodemus chevrieri because the rodents were healthy and no dead animals were found in surrounding areas, as had occurred in previous epizootic disease. We performed microscopic and biochemical examinations of the isolates,and compared their whole-genome sequences and transcriptome with those of 10 high virulence Y. pestis strains that were isolated from the adjacent city (Lijiang). We analyzed the phenotypic, genomic, and transcriptomic characteristics of live rodent isolates. The isolates formed a previously undefined monophyletic branch of Y. pestis that was named 1.IN5. Six SNPs, two indels, and one copy number variation were detected between live rodent isolates and the high virulence neighbors. No obvious functional consequence of these variations was found according to the known annotation information. Among the genes that were differentially expressed between the live rodent isolates and their high virulence neighbors, we detected five iron transfer-related genes that were significantly up-regulated in live rodent isolates compared with high virulence isolates (|log2 (FC) | >1, p.adjust <0.05), indicating these genes may be related to the low-virulence phenotype. The novel genotype of Y. pestis reported here provides further insights into the evolution and spread of plague as well as clues that may help to decipher the virulence mechanism of this notorious pathogen.
2021-04-20 | GSE161888 | GEO
Project description:ABSTRACTThe COVID-19 pandemic and measures against it provided a unique opportunity to understand the transmission of other infectious diseases and to evaluate the efficacy of COVID-19 prevention measures on them. Here we show a dengue epidemic in Yunnan, China, during the pandemic of COVID-19 was dramatically reduced compared to non-pandemic years and, importantly, spread was confined to only one city, Ruili. Three key features characterized this dengue outbreak: (i) the urban-to-suburban spread was efficiently blocked; (ii) the scale of epidemic in urban region was less affected; (iii) co-circulation of multiple strains was attenuated. These results suggested that countermeasures taken during COVID-19 pandemic are efficient to prevent dengue transmission between cities and from urban to suburban, as well to reduce the co-circulation of multiple serotypes or genotypes. Nevertheless, as revealed by the spatial analysis, once the dengue outbreak was established, its distribution was very stable and resistant to measures against COVID-19, implying the possibility to develop a precise prediction method.
| S-EPMC8745368 | biostudies-literature
Project description:BackgroundImported COVID-19 patients posed great challenges to border areas' COVID-19 control. However, research was scarce to reveal epidemiological characteristics of COVID-19 in border areas. This study aimed to explore the detailed transmission chains, and reveal epidemiological and clinical characteristics of the largest COVID-19 outbreak caused by Delta variant of concern (VOC) occurred in the China-Myanmar border area.MethodsDuring the outbreak from July to September, 2021 in Ruili City, Yunnan Province, China, epidemiological investigation data and clinical-related data pertaining to confirmed COVID-19 patients were collected. Patients' contact history data and viral gene sequencing were used for inference of transmission chains. Sociodemographic and epidemiological characteristics, cycle threshold (Ct) value, and antibodies level were compared between patients who were vaccinated against COVID-19 or not.ResultsA total of 117 COVID-19 patients were confirmed during the outbreak, among which 86 (73.5%) were breakthrough infections. These patients evenly split between Chinese and Myanmar people (50.4% vs. 49.6%). Most of these patients were mild (45.3%) or moderate (48.7%) infections with no death reported. Multi-source of infection led to 16 transmission chains with a maximum of 45 patients in one chain. Patients vaccinated against COVID-19 before infection had relatively higher antibodies (IgM and IgG) levels and more rapid response to infection than non-vaccinated patients (p < 0.05).ConclusionLand border areas have greater risks of imported COVID-19 and more complicated epidemics. It should be cautious in formulating entry and exit requirements for border areas. The immune effect of COVID-19 vaccines and related mechanism should be further explored.
| S-EPMC9446244 | biostudies-literature
Project description:Poverty and malaria appear to have an intertwined link. This paper aims to define the relationship between poverty and malaria in Yunnan, China, and to make recommendations for future research in this important area. Data on malaria prevalence and the population's income in each county between 2005 and 2010 were obtained from the Yunnan Center for Disease Control and Prevention and the Yunnan Bureau of Statistics, respectively. Geographic mapping shows an apparent spatial convergence of poverty and the incidence of malaria at a county level, and suggests that poverty may be one of the drivers of malaria transmission in Yunnan. Future research should focus on: 1. measuring and quantifying the relationship between poverty and the malaria burden at the individual, community, county and regional level in Yunnan; and 2. developing the GIS-based spatial decision support system (SDSS) framework in malaria endemic areas, particularly along the border areas in Yunnan.
| S-EPMC4161269 | biostudies-literature
Project description:Introduction: Undocumented migrants are at high risk of adverse consequences during crises because of a lack of access to essential securities and sources of support. This study aims to describe the impact of the COVID-19 crisis on the health and living circumstances of precarious migrants in Switzerland and to assess whether those undergoing legal status regularization fared better than undocumented migrants. Materials and methods: This cross-sectional mixed methods study was conducted during the COVID-19 lockdown in April-May 2020. Undocumented and recently regularized migrants taking part in an ongoing cohort study were asked to respond to an online questionnaire. A subsample was selected to undergo semi-directed phone interviews. Results: Overall, 117 of the 379 (30.9%) cohort study participants responded to the questionnaire. Seventeen interviews were conducted. Migrants faced cumulative and rapidly progressive difficulties in essential life domains. As a consequence, they showed high prevalence of exposure to COVID-19, poor mental health along with frequent avoidance of health care. Moreover, the loss of working hours and the related income overlapped with frequent food and housing insecurity. Around one participant in four had experienced hunger. Despite these unmet needs, half of the participants had not sought external assistance for reasons that differ by legal status. Both groups felt that seeking assistance might represent a threat for the renewal or a future application for a residency permit. While documented migrants were less severely affected in some domains by having accumulated more reserves previously, they also frequently renounced to sources of support. Conclusions: The cumulated difficulties faced by migrants in this period of crisis and their limited search for assistance highlight the need to implement trust-building strategies to bridge the access gap to sources of support along with policies protecting them against the rapid loss of income, the risk of losing their residency permit and the exposure to multi-fold insecurities.
| S-EPMC7772178 | biostudies-literature
Project description:Identifying the causes of psychiatric and physical symptoms in asylum seekers, refugees and other migrants and making definitive diagnoses can be challenging. Ethical and legal challenges in the UK include the likely deterrent effects of upfront charging for National Health Service (NHS) services. This paper focuses on the fictitious case of an asylum seeker presenting to a mental health service in England, highlighting some of the difficulties in assessing and treating this patient group and providing advice to clinicians on clinical and practical management. Current NHS entitlements for migrants are summarised and a list is presented in the online supplement of non-governmental organisations that can provide further support.
| S-EPMC7283125 | biostudies-literature
Project description:An estimated 2 million foreign-born migrants of working age (15-64) were living in South Africa (SA) in 2017. Structural and practical xenophobia has driven asylum-seekers, refugees, and undocumented migrants in SA to abject poverty and misery. The Coronavirus Disease 2019 (COVID-19) containment measures adopted by the SA government through the lockdown of the nation have tremendously deepened the unequal treatment of asylum-seekers and refugees in SA. This can be seen through the South African government's lack of consideration of this marginalized population in economic, poverty, and hunger alleviation schemes. Leaving this category of our society out of the national response safety nets may lead to negative coping strategies causing mental health issues and secondary health concerns. An effective response to the socioeconomic challenges imposed by the COVID-19 pandemic should consider the economic and health impact of the pandemic on asylum-seekers, refugees, and undocumented migrants.
| S-EPMC7439241 | biostudies-literature
Project description:BackgroundIn response to the COVID-19 pandemic, China implemented strict restrictions on cross-border travel to prevent disease importation. Yunnan, a Chinese province that borders dengue-endemic countries in Southeast Asia, experienced unprecedented reduction in dengue, from 6840 recorded cases in 2019 to 260 in 2020.MethodsUsing a combination of epidemiological and virus genomic data, collected from 2013 to 2020 in Yunnan and neighbouring countries, we conduct a series of analyses to characterise the role of virus importation in driving dengue dynamics in Yunnan and assess the association between recent international travel restrictions and the decline in dengue reported in Yunnan in 2020.FindingsWe find strong evidence that dengue incidence between 2013-2019 in Yunnan was closely linked with international importation of cases. A 0-2 month lag in incidence not explained by seasonal differences, absence of local transmission in the winter, effective reproductive numbers < 1 (as estimated independently using genetic data) and diverse cosmopolitan dengue virus phylogenies all suggest dengue is non-endemic in Yunnan. Using a multivariate statistical model we show that the substantial decline in dengue incidence observed in Yunnan in 2020 but not in neighbouring countries is closely associated with the timing of international travel restrictions, even after accounting for other environmental drivers of dengue incidence.InterpretationWe conclude that Yunnan is a regional sink for DENV lineage movement and that border restrictions may have substantially reduced dengue burden in 2020, potentially averting thousands of cases. Targeted testing and surveillance of travelers returning from high-risk areas could help to inform public health strategies to minimise or even eliminate dengue outbreaks in non-endemic settings like southern China.FundingFunding for this study was provided by National Key Research and Development Program of China, Beijing Science and Technology Planning Project (Z201100005420010); Beijing Natural Science Foundation (JQ18025); Beijing Advanced Innovation Program for Land Surface Science; National Natural Science Foundation of China (82073616); Young Elite Scientist Sponsorship Program by CAST (YESS) (2018QNRC001); H.T., O.P.G. and M.U.G.K. acknowledge support from the Oxford Martin School. O.J.B was supported by a Wellcome Trust Sir Henry Wellcome Fellowship (206471/Z/17/Z). Chinese translation of the abstract (Appendix 2).
| S-EPMC8387751 | biostudies-literature
Project description:The Coronavirus Disease 2019 (COVID-19) surges worldwide. However, massive imported patients especially into Heilongjiang Province in China recently have been an alert for local COVID-19 outbreak. We collected data from January 23 to March 25 from Heilongjiang province and trained an ordinary differential equation model to fit the epidemic data. We extended the simulation using this trained model to characterize the effect of an imported 'escaper'. We showed that an imported 'escaper' was responsible for the newly confirmed COVID-19 infections from Apr 9 to Apr 19 in Heilongjiang province. Stochastic simulations further showed that significantly increased local contacts among imported 'escaper', its epidemiologically associated cases and susceptible populations greatly contributed to the local outbreak of COVID-19. Meanwhile, we further found that the reported number of asymptomatic patients was markedly lower than model predictions implying a large asymptomatic pool which was not identified. We further forecasted the effect of implementing strong interventions immediately to impede COVID-19 outbreak for Heilongjiang province. Implementation of stronger interventions to lower mutual contacts could accelerate the complete recovery from coronavirus infections in Heilongjiang province. Collectively, our model has characterized the epidemic of COVID-19 in Heilongjiang province and implied that strongly controlled measured should be taken for infected and asymptomatic patients to minimize total infections.
| S-EPMC7256610 | biostudies-literature
Project description:BackgroundBefore the Coronavirus Disease 2019 (COVID-19) pandemic in France, undocumented migrants had a higher risk than general population for being admitted to the intensive care unit (ICU) because of acute respiratory failure or severe infection. Specific data concerning the impact of COVID-19 on undocumented migrants in France are lacking. We aimed to analyze the mortality and respiratory severity of COVID-19 in this specific population. We retrospectively included all undocumented adult migrants admitted in French ICUs from March 2020 through April 2021 using the French nationwide hospital information system (Programme de Médicalisation des Systèmes d'Information). We focused on admissions related to COVID-19. Undocumented migrants were compared to the general population, first in crude analysis, then after matching on age, severity and main comorbidities. The primary outcome was the ICU mortality from COVID-19. Secondary objectives were the incidence of acute respiratory distress syndrome (ARDS), the need for mechanical ventilation (MV), the duration of MV, ICU and hospital stay.ResultsDuring the study period, the rate of ICU admission among patients hospitalized for COVID-19 was higher for undocumented migrants than for general population (463/1627 (28.5%) vs. 81 813/344 001 (23.8%); p < 0.001). Although ICU mortality was comparable after matching (14.3% for general population vs. 13.3% for undocumented migrants; p = 0.50), the incidence of ARDS was higher among undocumented migrants (odds ratio, confidence interval (OR (CI)) 1.25 (1.06-1.48); p = 0.01). Undocumented migrants needed more frequently invasive MV (OR (CI) 1.2 (1.01-1.42); p = 0.04 than general population. There were no differences between groups concerning duration of MV, ICU and hospital length of stay.ConclusionDuring the first waves of COVID-19 in France, undocumented migrants had a mortality similar to the general population but a higher risk for ICU admission and for developing an ARDS. These results highlight the need for reinforcing prevention and improving primary healthcare access for people in irregular situation.
| S-EPMC10558416 | biostudies-literature