Journal Article > ReviewFull Text
J Migr Health. 2020 December 31; Volume 3; 100041.; DOI:10.1016/j.jmh.2021.100041
Hayward SE, Deal A, Cheng C, Crawshaw A, Orcutt M, et al.
J Migr Health. 2020 December 31; Volume 3; 100041.; DOI:10.1016/j.jmh.2021.100041
BACKGROUND
Migrants in high-income countries may be at increased risk of COVID-19 due to their health and social circumstances, yet the extent to which they are affected and their predisposing risk factors are not clearly understood. We did a systematic review to assess clinical outcomes of COVID-19 in migrant populations, indirect health and social impacts, and to determine key risk factors.
METHODS
We did a systematic review following PRISMA guidelines (PROSPERO CRD42020222135). We searched multiple databases to 18/11/2020 for peer-reviewed and grey literature on migrants (foreign-born) and COVID-19 in 82 high-income countries. We used our international networks to source national datasets and grey literature. Data were extracted on primary outcomes (cases, hospitalisations, deaths) and we evaluated secondary outcomes on indirect health and social impacts and risk factors using narrative synthesis.
RESULTS
3016 data sources were screened with 158 from 15 countries included in the analysis (35 data sources for primary outcomes: cases [21], hospitalisations [4]; deaths [15]; 123 for secondary outcomes). We found that migrants are at increased risk of infection and are disproportionately represented among COVID-19 cases. Available datasets suggest a similarly disproportionate representation of migrants in reported COVID-19 deaths, as well as increased all-cause mortality in migrants in some countries in 2020. Undocumented migrants, migrant health and care workers, and migrants housed in camps have been especially affected. Migrants experience risk factors including high-risk occupations, overcrowded accommodation, and barriers to healthcare including inadequate information, language barriers, and reduced entitlement.
CONCLUSIONS
Migrants in high-income countries are at high risk of exposure to, and infection with, COVID-19. These data are of immediate relevance to national public health and policy responses to the pandemic. Robust data on testing uptake and clinical outcomes in migrants, and barriers and facilitators to COVID-19 vaccination, are urgently needed, alongside strengthening engagement with diverse migrant groups.
Migrants in high-income countries may be at increased risk of COVID-19 due to their health and social circumstances, yet the extent to which they are affected and their predisposing risk factors are not clearly understood. We did a systematic review to assess clinical outcomes of COVID-19 in migrant populations, indirect health and social impacts, and to determine key risk factors.
METHODS
We did a systematic review following PRISMA guidelines (PROSPERO CRD42020222135). We searched multiple databases to 18/11/2020 for peer-reviewed and grey literature on migrants (foreign-born) and COVID-19 in 82 high-income countries. We used our international networks to source national datasets and grey literature. Data were extracted on primary outcomes (cases, hospitalisations, deaths) and we evaluated secondary outcomes on indirect health and social impacts and risk factors using narrative synthesis.
RESULTS
3016 data sources were screened with 158 from 15 countries included in the analysis (35 data sources for primary outcomes: cases [21], hospitalisations [4]; deaths [15]; 123 for secondary outcomes). We found that migrants are at increased risk of infection and are disproportionately represented among COVID-19 cases. Available datasets suggest a similarly disproportionate representation of migrants in reported COVID-19 deaths, as well as increased all-cause mortality in migrants in some countries in 2020. Undocumented migrants, migrant health and care workers, and migrants housed in camps have been especially affected. Migrants experience risk factors including high-risk occupations, overcrowded accommodation, and barriers to healthcare including inadequate information, language barriers, and reduced entitlement.
CONCLUSIONS
Migrants in high-income countries are at high risk of exposure to, and infection with, COVID-19. These data are of immediate relevance to national public health and policy responses to the pandemic. Robust data on testing uptake and clinical outcomes in migrants, and barriers and facilitators to COVID-19 vaccination, are urgently needed, alongside strengthening engagement with diverse migrant groups.
Journal Article > ResearchFull Text
BMJ Open. 2022 September 20; Volume 12 (Issue 9); e060276.; DOI:10.1136/bmjopen-2021-060276
Dujmovic M, Roederer T, Frison S, Melki C, Lauvin T, et al.
BMJ Open. 2022 September 20; Volume 12 (Issue 9); e060276.; DOI:10.1136/bmjopen-2021-060276
INTRODUCTION
French nursing homes were deeply affected by the first wave of the COVID-19 pandemic, with 38% of all residents infected and 5% dying. Yet, little was done to prepare these facilities for the second pandemic wave, and subsequent outbreak response strategies largely duplicated what had been done in the spring of 2020, regardless of the unique needs of the care home environment.
METHODS
A cross-sectional, mixed-methods study using a retrospective, quantitative data from residents of 14 nursing homes between November 2020 and mid-January 2021. Four facilities were purposively selected as qualitative study sites for additional in-person, in-depth interviews in January and February 2021.
RESULTS
The average attack rate in the 14 participating nursing facilities was 39% among staff and 61% among residents. One-fifth (20) of infected residents ultimately died from COVID-19 and its complications. Failure to thrive syndrome (FTTS) was diagnosed in 23% of COVID-19-positive residents. Those at highest risk of death were men (HR=1.78; 95% CI: 1.18 to 2.70; p=0.006), with FTTS (HR=4.04; 95% CI: 1.93 to 8.48; p<0.001) or in facilities with delayed implementation of universal FFP2 masking policies (HR=1.05; 95% CI: 1.02 to 1.07; p<0.001). The lowest mortality was found in residents of facilities with a partial (HR=0.30; 95% CI: 0.18 to 0.51; p<0.001) or full-time physician on staff (HR=0.20; 95% CI: 0.08 to 0.53; p=0.001). Significant themes emerging from qualitative analysis centred on (1) the structural, chronic neglect of nursing homes, (2) the negative effects of the top-down, bureaucratic nature of COVID-19 crisis response, and (3) the counterproductive effects of lockdowns on both residents and staff.
CONCLUSION
Despite high resident mortality during the first pandemic wave, French nursing homes were ill-prepared for the second, with risk factors (especially staffing, lack of medical support, isolation/quarantine policy, etc) that affected case fatality and residents’ and caregivers’ overall well-being and mental health.
French nursing homes were deeply affected by the first wave of the COVID-19 pandemic, with 38% of all residents infected and 5% dying. Yet, little was done to prepare these facilities for the second pandemic wave, and subsequent outbreak response strategies largely duplicated what had been done in the spring of 2020, regardless of the unique needs of the care home environment.
METHODS
A cross-sectional, mixed-methods study using a retrospective, quantitative data from residents of 14 nursing homes between November 2020 and mid-January 2021. Four facilities were purposively selected as qualitative study sites for additional in-person, in-depth interviews in January and February 2021.
RESULTS
The average attack rate in the 14 participating nursing facilities was 39% among staff and 61% among residents. One-fifth (20) of infected residents ultimately died from COVID-19 and its complications. Failure to thrive syndrome (FTTS) was diagnosed in 23% of COVID-19-positive residents. Those at highest risk of death were men (HR=1.78; 95% CI: 1.18 to 2.70; p=0.006), with FTTS (HR=4.04; 95% CI: 1.93 to 8.48; p<0.001) or in facilities with delayed implementation of universal FFP2 masking policies (HR=1.05; 95% CI: 1.02 to 1.07; p<0.001). The lowest mortality was found in residents of facilities with a partial (HR=0.30; 95% CI: 0.18 to 0.51; p<0.001) or full-time physician on staff (HR=0.20; 95% CI: 0.08 to 0.53; p=0.001). Significant themes emerging from qualitative analysis centred on (1) the structural, chronic neglect of nursing homes, (2) the negative effects of the top-down, bureaucratic nature of COVID-19 crisis response, and (3) the counterproductive effects of lockdowns on both residents and staff.
CONCLUSION
Despite high resident mortality during the first pandemic wave, French nursing homes were ill-prepared for the second, with risk factors (especially staffing, lack of medical support, isolation/quarantine policy, etc) that affected case fatality and residents’ and caregivers’ overall well-being and mental health.
Journal Article > ReviewFull Text
BMJ Glob Health. 2023 February 1; Volume 8 (Issue 2); e011431.; DOI:10.1136/bmjgh-2022-011431
Evaborhene NA, Udokanma EE, Adebisi YA, Okorie CE, Kafuko Z, et al.
BMJ Glob Health. 2023 February 1; Volume 8 (Issue 2); e011431.; DOI:10.1136/bmjgh-2022-011431
The call to strengthen global health governance against future outbreaks through a binding treaty on pandemics has attracted global attention and opinion. Yet, few of these perspectives have reflected the voices from early career global health professionals in Africa. We share our perspectives on the Pandemic Treaty, and specifically our scepticism on the limitations of the current top-down approach of the treaty, and the need for the treaty to centre equity, transparency and fairness to ensure equitable and effective cooperation in response to global health emergencies. We also highlight the challenges intergovernmental organisations for health faced in coordinating nation states during the COVID-19 crisis and how a Pandemic Treaty would address these challenges. We argue that lessons from the COVID-19 pandemic provide a critical opportunity to strengthen regional institutions in Africa—particularly in a multipolar world with huge disparities in power and resources. However, addressing these challenges and achieving this transformation may not be easy. Fiscal space in many countries remains constrained now more than ever. New tools such as the Pandemic Fund should be designed in ways that consider the specific needs and capacities of countries. Therefore, strengthening countries’ capacities overall requires an increase in domestic investment. This paper calls for wider structural reforms such as debt restructuring among other tools to strengthen countries’ capacities.
Journal Article > ResearchFull Text
PLOS One. 2023 May 18; Volume 18 (Issue 5); e0278251.; DOI:10.1371/journal.pone.0278251
Otshudiema JO, Folefack GLT, Nsio JM, Kakema CH, Minikulu L, et al.
PLOS One. 2023 May 18; Volume 18 (Issue 5); e0278251.; DOI:10.1371/journal.pone.0278251
A community-based coronavirus disease (COVID-19) active case-finding strategy using an antigen-detecting rapid diagnostic test (Ag-RDT) was implemented in the Democratic Republic of Congo (DRC) to enhance COVID-19 case detection. With this pilot community-based active case finding and response program that was designed as a clinical, prospective testing performance, and implementation study, we aimed to identify insights to improve community diagnosis and rapid response to COVID-19. This pilot study was modeled on the DRC’s National COVID-19 Response Plan and the COVID-19 Ag-RDT screening algorithm defined by the World Health Organization (WHO), with case findings implemented in 259 health areas, 39 health zones, and 9 provinces. In each health area, a 7-member interdisciplinary field team tested the close contacts (ring strategy) and applied preventive and control measures to each confirmed case. The COVID-19 testing capacity increased from 0.3 tests per 10,000 inhabitants per week in the first wave to 0.4, 1.6, and 2.2 in the second, third, and fourth waves, respectively. From January to November 2021, this capacity increase contributed to an average of 10.5% of COVID-19 tests in the DRC, with 7,110 positive Ag-RDT results for 40,226 suspected cases and close contacts who were tested (53.6% female, median age: 37 years [interquartile range: 26.0–50.0)]. Overall, 79.7% (n = 32,071) of the participants were symptomatic and 7.6% (n = 3,073) had comorbidities. The Ag-RDT sensitivity and specificity were 55.5% and 99.0%, respectively, based on reverse transcription polymerase chain reaction analysis, and there was substantial agreement between the tests (k = 0.63). Despite its limited sensitivity, the Ag-RDT has improved COVID-19 testing capacity, enabling earlier detection, isolation, and treatment of COVID-19 cases. Our findings support the community testing of suspected cases and asymptomatic close contacts of confirmed cases to reduce disease spread and virus transmission.
Conference Material > Abstract
Haider A, Finger F
Epicentre Scientific Day Paris 2021. 2021 June 10
In this presentation, we provide an overview of the evolution of the COVID-19 pandemic in Yemen and Afghanistan and describe the characteristics of patients seen selected MSF health facilities.
YEMEN
The true burden of the COVID-19 pandemic in Yemen is largely underestimated. The official surveillance data is limited to the southern governorates only. The country has experienced two waves so far and until May 31 2021, the total number of confirmed cases reported was 6 746 with 1 322 associated deaths. With limited testing capacity, PCR tests are spared for suspect cases presenting with severe symptoms only. MSF has been operating several COVID-19 projects in the southern and northern parts since the beginning of the pandemic. To date, MSF France has treated 2 138 COVID-19 patients. The in-hospital mortality was 30%. This presentation provides an overview of the evolution of the pandemic in Yemen and a description of patients seen at MSF health facilities.
AFGHANISTAN
Afghanistan is currently experiencing a third wave of COVID-19. To date (31 May 2021) a total of nearly 73 000 confirmed cases and 3 000 deaths have been reported. The PCR testing capacity remains limited, particularly outside the national capital, and the characteristics of suspected patients are poorly described. MSF has bee supporting the pandemic response in Herat, the regional capital of Western Afghanistan, by running a COVID-19 triage at the Herat Regional Hospital and through case management. To date, over 31 000 patients have been received at the triage, and, if required, oriented towards appropriate care. In addition, patient data collected at the triage facility are a valuable surveillance tool since they allow to follow epidemic trends and to describe patient characteristics. Here we give an update about the current situation in Afghanistan and Herat and describe the characteristics of patients through the three epidemic waves.
YEMEN
The true burden of the COVID-19 pandemic in Yemen is largely underestimated. The official surveillance data is limited to the southern governorates only. The country has experienced two waves so far and until May 31 2021, the total number of confirmed cases reported was 6 746 with 1 322 associated deaths. With limited testing capacity, PCR tests are spared for suspect cases presenting with severe symptoms only. MSF has been operating several COVID-19 projects in the southern and northern parts since the beginning of the pandemic. To date, MSF France has treated 2 138 COVID-19 patients. The in-hospital mortality was 30%. This presentation provides an overview of the evolution of the pandemic in Yemen and a description of patients seen at MSF health facilities.
AFGHANISTAN
Afghanistan is currently experiencing a third wave of COVID-19. To date (31 May 2021) a total of nearly 73 000 confirmed cases and 3 000 deaths have been reported. The PCR testing capacity remains limited, particularly outside the national capital, and the characteristics of suspected patients are poorly described. MSF has bee supporting the pandemic response in Herat, the regional capital of Western Afghanistan, by running a COVID-19 triage at the Herat Regional Hospital and through case management. To date, over 31 000 patients have been received at the triage, and, if required, oriented towards appropriate care. In addition, patient data collected at the triage facility are a valuable surveillance tool since they allow to follow epidemic trends and to describe patient characteristics. Here we give an update about the current situation in Afghanistan and Herat and describe the characteristics of patients through the three epidemic waves.
Journal Article > ResearchFull Text
Vaccine. 2021 November 9; Volume 9 (Issue 11); 1303.; DOI:10.3390/vaccines9111303
Urrunaga-Pastor D, Herrera-Anazco P, Uyen-Cateriano A, Toro-Huamanchumo CJ, Rodriguez-Morales AJ, et al.
Vaccine. 2021 November 9; Volume 9 (Issue 11); 1303.; DOI:10.3390/vaccines9111303
We aimed to estimate the prevalence and factors associated with parents' non-intention to vaccinate their children and adolescents against COVID-19 in Latin America and the Caribbean (LAC). We performed a secondary analysis using a database generated by the University of Maryland and Facebook (Facebook, Inc., Menlo Park, CA, USA). We included adult (18 and over) Facebook users residing in LAC who responded to the survey between 20 May 2021 and 14 July 2021. We included sociodemographic characteristics, comorbidities, mental health, economic and food insecurity, compliance with mitigation strategies against COVID-19, and practices related to vaccination against this disease. We estimated the crude (cPR) and adjusted (aPR) prevalence ratios with their respective 95%CI. We analyzed a sample of 227,740 adults from 20 LAC countries. The prevalence of parents' non-intention to vaccinate their children and adolescents against COVID-19 was 7.8% (n = 15,196). An age above 35 years old, educational level above college, compliance with physical distancing, use of masks, having economic insecurity, having had COVID-19, anxiety symptoms, depressive symptoms, having a chronic condition or two or more comorbidities, and being vaccinated were associated with a lower prevalence of non-intention to vaccinate children and adolescents against COVID-19. Living in a town, a village, or a rural area was associated with a higher prevalence of non-intention to vaccinate children and adolescents against COVID-19. Approximately nine out of ten parents in LAC intended to vaccinate their children and adolescents against COVID-19. Our results allow for understanding parents' intentions to vaccinate children and adolescents and help promote and develop education strategies for national vaccination plans against COVID-19.
Conference Material > Abstract
Chandna A, PRIORITISE Study Group, Mahajan R, Gautam P, Mwandigha L, et al.
MSF Scientific Days International 2022. 2022 May 9; DOI:10.57740/hxy9-yk07
INTRODUCTION
In locations where few people have received Covid-19 vaccines, health systems remain vulnerable to spikes in SARS-CoV-2 infections. Triage tools, which could include biomarkers, to identify patients with moderate Covid-19 infection suitable for community-based management would be useful in the event of surges. In consultation with FIND (Geneva, Switzerland) we shortlisted seven biomarkers for evaluation, all measurable using point-of-care tests, and either currently available or in late-stage development.
METHODS
We prospectively recruited unvaccinated adults with laboratory-confirmed Covid-19 presenting to two hospitals in India with moderate symptoms, in order to develop and validate a clinical prediction model to rule-out progression to supplemental oxygen requirement. Moderate disease was defined as oxygen saturation (SpO2) ≥ 94% and respiratory rate < 30 breaths per minute (bpm), in the context of systemic symptoms (breathlessness or fever and chest pain, abdominal pain, diarrhoea, or severe myalgia). All patients had clinical observations and blood collected at presentation, and were followed up for 14 days for the primary outcome, defined as any of the following: SpO2 < 94%; respiratory rate > 30 bpm; SpO2/fraction of inspired oxygen (FiO2) < 400; or death. We specified a priori that each model would contain three easily ascertained clinical parameters (age, sex, and SpO2) and one of the seven biomarkers (C-reactive protein (CRP), D-dimer, interleukin-6 (IL-6), neutrophil-to-lymphocyte ratio (NLR), procalcitonin (PCT), soluble triggering receptor expressed on myeloid cells-1 (sTREM-1), or soluble urokinase plasminogen activator receptor (suPAR)), to ensure the models would be implementable in high patient-throughput, low-resource settings. We evaluated the models’ discrimination, calibration, and clinical utility in a held-out external temporal validation cohort.
ETHICS
Ethical approval was given by the ethics committees of AIIMS and CMC, India, the Oxford Tropical Research Ethics Committee, UK; and by the MSF Ethics Review Board.
ClinicalTrials.gov number, NCT04441372.
RESULTS
426 participants were recruited, of which 89 (21.0%) met the primary outcome. 257 participants comprised the development, and 166 the validation, cohorts. The three models containing NLR, suPAR, or IL-6 demonstrated promising discrimination (c-statistics: 0.72 to 0.74) and calibration (calibration slopes: 1.01 to 1.05) in the held-out validation cohort. Furthermore, they provided greater utility than a model containing the clinical parameters alone (c-statistic = 0.66; calibration slope = 0.68). The inclusion of either NLR or suPAR improved predictive performance such that the ratio of correctly to incorrectly discharged patients increased from 10:1 to 23:1 or 25:1 respectively. Including IL-6 resulted in a similar proportion (~21%) of correctly discharged patients as the clinical model, but without missing any patients requiring supplemental oxygen.
CONCLUSION
We present three clinical prediction models that could help clinicians identify patients with moderate Covid-19 suitable for community-based management. These models are readily implementable and, if validated, could be of particular relevance for resource-limited settings.
CONFLICTS OF INTEREST
None declared.
In locations where few people have received Covid-19 vaccines, health systems remain vulnerable to spikes in SARS-CoV-2 infections. Triage tools, which could include biomarkers, to identify patients with moderate Covid-19 infection suitable for community-based management would be useful in the event of surges. In consultation with FIND (Geneva, Switzerland) we shortlisted seven biomarkers for evaluation, all measurable using point-of-care tests, and either currently available or in late-stage development.
METHODS
We prospectively recruited unvaccinated adults with laboratory-confirmed Covid-19 presenting to two hospitals in India with moderate symptoms, in order to develop and validate a clinical prediction model to rule-out progression to supplemental oxygen requirement. Moderate disease was defined as oxygen saturation (SpO2) ≥ 94% and respiratory rate < 30 breaths per minute (bpm), in the context of systemic symptoms (breathlessness or fever and chest pain, abdominal pain, diarrhoea, or severe myalgia). All patients had clinical observations and blood collected at presentation, and were followed up for 14 days for the primary outcome, defined as any of the following: SpO2 < 94%; respiratory rate > 30 bpm; SpO2/fraction of inspired oxygen (FiO2) < 400; or death. We specified a priori that each model would contain three easily ascertained clinical parameters (age, sex, and SpO2) and one of the seven biomarkers (C-reactive protein (CRP), D-dimer, interleukin-6 (IL-6), neutrophil-to-lymphocyte ratio (NLR), procalcitonin (PCT), soluble triggering receptor expressed on myeloid cells-1 (sTREM-1), or soluble urokinase plasminogen activator receptor (suPAR)), to ensure the models would be implementable in high patient-throughput, low-resource settings. We evaluated the models’ discrimination, calibration, and clinical utility in a held-out external temporal validation cohort.
ETHICS
Ethical approval was given by the ethics committees of AIIMS and CMC, India, the Oxford Tropical Research Ethics Committee, UK; and by the MSF Ethics Review Board.
ClinicalTrials.gov number, NCT04441372.
RESULTS
426 participants were recruited, of which 89 (21.0%) met the primary outcome. 257 participants comprised the development, and 166 the validation, cohorts. The three models containing NLR, suPAR, or IL-6 demonstrated promising discrimination (c-statistics: 0.72 to 0.74) and calibration (calibration slopes: 1.01 to 1.05) in the held-out validation cohort. Furthermore, they provided greater utility than a model containing the clinical parameters alone (c-statistic = 0.66; calibration slope = 0.68). The inclusion of either NLR or suPAR improved predictive performance such that the ratio of correctly to incorrectly discharged patients increased from 10:1 to 23:1 or 25:1 respectively. Including IL-6 resulted in a similar proportion (~21%) of correctly discharged patients as the clinical model, but without missing any patients requiring supplemental oxygen.
CONCLUSION
We present three clinical prediction models that could help clinicians identify patients with moderate Covid-19 suitable for community-based management. These models are readily implementable and, if validated, could be of particular relevance for resource-limited settings.
CONFLICTS OF INTEREST
None declared.
Conference Material > Video (talk)
Arnikov A, Agan S
MSF Scientific Days LatAm 2022. 2022 November 30
English
Español
Português
Conference Material > Video (talk)
Farber J
MSF Scientific Days International 2021: Innovation. 2021 May 20
Conference Material > Video (talk)
Broban A
Epicentre Scientific Day Paris 2021. 2021 August 4