Quantitative microbial risk assessment for Escherichia Coli O157: H7 via drinking water in the Gaza Strip, Palestine.

Introduction: Microbial contamination of drinking water, particularly by pathogens such as Escherichia coli O157: H7, is a significant public health concern worldwide, especially in regions with limited access to clean water like the Gaza Strip. However, few studies have quantified the disease burden associated with E. coli O157: H7 contamination in such challenging water management contexts. Objective: This study aimed to conduct a comprehensive Quantitative Microbial Risk Assessment to estimate the annual infection risk and disease burden attributed to E. coli O157: H7 in Gaza's drinking water. Methods: Applying the typical four steps of the Quantitative Microbial Risk Assessment technique-hazard identification, exposure assessment, dose-response analysis, and risk characterization-the study assessed the microbial risk associated with E. coli O157: H7 contamination in Gaza's drinking water supply. A total of 1317 water samples from various sources across Gaza were collected and analyzed for the presence of E. coli O157: H7. Using Microsoft ExcelTM and @RISKTM software, a Quantitative Microbial Risk Assessment model was constructed to quantify the risk of infection associated with E. coli O157: H7 contamination. Monte Carlo simulation techniques were employed to assess uncertainty surrounding input variables and generate probabilistic estimates of infection risk and disease burden. Results: Analysis of the water samples revealed the presence of E. coli O157: H7 in 6.9% of samples, with mean, standard deviation, and maximum values of 1.97, 9.74, and 112 MPN/100 ml, respectively. The risk model estimated a median infection risk of 3.21 × 10-01 per person per year and a median disease burden of 3.21 × 10-01 Disability-Adjusted Life Years per person per year, significantly exceeding acceptable thresholds set by the WHO. Conclusion: These findings emphasize the urgent need for proactive strategies to mitigate public health risks associated with waterborne pathogens in Gaza.

Zika emergence, persistence, and transmission rate in Colombia: a nationwide application of a space-time Markov switching model.

Zika, a viral disease transmitted to humans by Aedes mosquitoes, emerged in the Americas in 2015, causing large-scale epidemics. Colombia alone reported over 72,000 Zika cases between 2015 and 2016. Using national surveillance data from 1121 municipalities over 70 weeks, we identified sociodemographic and environmental factors associated with Zika's emergence, re-emergence, persistence, and transmission intensity in Colombia. We fitted a zero-state Markov-switching model under the Bayesian framework, assuming Zika switched between periods of presence and absence according to spatially and temporally varying probabilities of emergence/re-emergence (from absence to presence) and persistence (from presence to presence). These probabilities were assumed to follow a series of mixed multiple logistic regressions. When Zika was present, assuming that the cases follow a negative binomial distribution, we estimated the transmission intensity rate. Our results indicate that Zika emerged/re-emerged sooner and that transmission was intensified in municipalities that were more densely populated, at lower altitudes and/or with less vegetation cover. Warmer temperatures and less weekly-accumulated rain were also associated with Zika emergence. Zika cases persisted for longer in more densely populated areas with more cases reported in the previous week. Overall, population density, elevation, and temperature were identified as the main contributors to the first Zika epidemic in Colombia. We also estimated the probability of Zika presence by municipality and week, and the results suggest that the disease circulated undetected by the surveillance system on many occasions. Our results offer insights into priority areas for public health interventions against emerging and re-emerging Aedes-borne diseases.

Study protocol for a scoping review of Lyme disease prediction methodologies.

INTRODUCTION: In the temperate world, Lyme disease (LD) is the most common vector-borne disease affecting humans. In North America, LD surveillance and research have revealed an increasing territorial expansion of hosts, bacteria and vectors that has accompanied an increasing incidence of the disease in humans. To better understand the factors driving disease spread, predictive models can use current and historical data to predict disease occurrence in populations across time and space. Various prediction methods have been used, including approaches to evaluate prediction accuracy and/or performance and a range of predictors in LD risk prediction research. With this scoping review, we aim to document the different modelling approaches including types of forecasting and/or prediction methods, predictors and approaches to evaluating model performance (eg, accuracy). METHODS AND ANALYSIS: This scoping review will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Review guidelines. Electronic databases will be searched via keywords and subject headings (eg, Medical Subject Heading terms). The search will be performed in the following databases: PubMed/MEDLINE, EMBASE, CAB Abstracts, Global Health and SCOPUS. Studies reported in English or French investigating the risk of LD in humans through spatial prediction and temporal forecasting methodologies will be identified and screened. Eligibility criteria will be applied to the list of articles to identify which to retain. Two reviewers will screen titles and abstracts, followed by a full-text screening of the articles' content. Data will be extracted and charted into a standard form, synthesised and interpreted. ETHICS AND DISSEMINATION: This scoping review is based on published literature and does not require ethics approval. Findings will be published in peer-reviewed journals and presented at scientific conferences.

Social network risk factors and COVID-19 vaccination: A cross-sectional survey study.

BACKGROUND: Social networks have an important impact on our health behaviours, including vaccination. People's vaccination beliefs tend to mirror those of their social network. As social networks are homogenous in many ways, we sought to determine in the context of COVID-19 which factors were most predictive of belonging to a mostly vaccinated or unvaccinated social group. METHODS: We conducted a cross-sectional survey among Canadian residents in November and December 2021. Participants were asked about the vaccination status of their social networks their beliefs relating to COVID-19, and various sociodemographic factors. Respondents were split into three groups based on social network vaccination: low-, medium-, and high-risk. Chi-squared tests tested associations between factors and risk groups, and an ordinal logistic model was created to determine their direction and strength. RESULTS: Most respondents (81.1 %) were classified as low risk (i.e., a mostly vaccinated social network) and few respondents (3.7 %) were classified as high-risk (i.e., an unvaccinated social group). Both the chi-square test (29.2 % difference between the low- and high- risk groups [1.8 % vs. 31.0 %], p < 0.001) and the ordinal logistic model (odds ratio between the low- and high-risk groups: 14.45, p < 0.01) found that respondents' perceptions of COVID-19 as a "not at all serious" risk to Canadians was the most powerful predictor of belonging to a predominantly unvaccinated social circle. The model also found that those in mostly unvaccinated social circles also more often reported severe COVID-19 symptoms (odds ratio between the low- and high-risk groups: 2.26, p < 0.05). CONCLUSION: Perception of COVID-19 as a threat to others may signal communities with lower vaccination coverage and higher risk of severe outcomes. This may have implications for strategies to improve public outreach, messaging, and planning for downstream consequences of low intervention uptake.

Predicting malaria risk considering vector control interventions under climate change scenarios.

Many studies have projected malaria risks with climate change scenarios by modelling one or two environmental variables and without the consideration of malaria control interventions. We aimed to predict the risk of malaria with climate change considering the influence of rainfall, humidity, temperatures, vegetation, and vector control interventions (indoor residual spraying (IRS) and long-lasting insecticidal nets (LLIN)). We used negative binomial models based on weekly malaria data from six facility-based surveillance sites in Uganda from 2010-2018, to estimate associations between malaria, environmental variables and interventions, accounting for the non-linearity of environmental variables. Associations were applied to future climate scenarios to predict malaria distribution using an ensemble of Regional Climate Models under two Representative Concentration Pathways (RCP4.5 and RCP8.5). Predictions including interaction effects between environmental variables and interventions were also explored. The results showed upward trends in the annual malaria cases by 25% to 30% by 2050s in the absence of intervention but there was great variability in the predictions (historical vs RCP 4.5 medians [Min-Max]: 16,785 [9,902-74,382] vs 21,289 [11,796-70,606]). The combination of IRS and LLIN, IRS alone, and LLIN alone would contribute to reducing the malaria burden by 76%, 63% and 35% respectively. Similar conclusions were drawn from the predictions of the models with and without interactions between environmental factors and interventions, suggesting that the interactions have no added value for the predictions. The results highlight the need for maintaining vector control interventions for malaria prevention and control in the context of climate change given the potential public health and economic implications of increasing malaria in Uganda.

Differential Influence of Environmental Factors on Malaria Due to Vector Control Interventions in Uganda.

BACKGROUND: Few studies have explored how vector control interventions may modify associations between environmental factors and malaria. METHODS: We used weekly malaria cases reported from six public health facilities in Uganda. Environmental variables (temperature, rainfall, humidity, and vegetation) were extracted from remote sensing sources. The non-linearity of environmental variables was investigated, and negative binomial regression models were used to explore the influence of indoor residual spraying (IRS) and long-lasting insecticidal nets (LLINs) on associations between environmental factors and malaria incident cases for each site as well as pooled across the facilities, with or without considering the interaction between environmental variables and vector control interventions. RESULTS: An average of 73.3 weekly malaria cases per site (range: 0-597) occurred between 2010 and 2018. From the pooled model, malaria risk related to environmental variables was reduced by about 35% with LLINs and 63% with IRS. Significant interactions were observed between some environmental variables and vector control interventions. There was site-specific variability in the shape of the environment-malaria risk relationship and in the influence of interventions (6 to 72% reduction in cases with LLINs and 43 to 74% with IRS). CONCLUSION: The influence of vector control interventions on the malaria-environment relationship need to be considered at a local scale in order to efficiently guide control programs.

Computer-aided diagnostic accuracy of pulmonary tuberculosis on chest radiography among lower respiratory tract symptoms patients.

Even though the Gaza Strip is a low pulmonary tuberculosis (TB) burden region, it is well-known that TB is primarily a socioeconomic problem associated with overcrowding, poor hygiene, a lack of fresh water, and limited access to healthcare, which is the typical case in the Gaza Strip. Therefore, this study aimed at assessing the accuracy of the automatic software computer-aided detection for tuberculosis (CAD4TB) in diagnosing pulmonary TB on chest radiography and compare the CAD4TB software reading with the results of geneXpert. Using a census sampling method, the study was conducted in radiology departments in the Gaza Strip hospitals between 1 December 2022 and 31 March 2023. A digital X-ray, printer, and online X-ray system backed by CAD4TBv6 software were used to screen patients with lower respiratory tract symptoms. GeneXpert analysis was performed for all patients having a score > 40. A total of 1,237 patients presenting with lower respiratory tract symptoms participated in this current study. Chest X-ray readings showed that 7.8% (n = 96) were presumptive for TB. The CAD4TBv6 scores showed that 11.8% (n = 146) of recruited patients were presumptive for TB. GeneXpert testing on sputum samples showed that 6.2% (n = 77) of those with a score > 40 on CAD4TB were positive for pulmonary TB. Significant differences were found in chest X-ray readings, CAD4TBv6 scores, and GeneXpert results among sociodemographic and health status variables (P-value < 0.05). The study showed that the incidence rate of TB in the Gaza Strip is 3.5 per 100,000 population in the Gaza strip. The sensitivity of the CAD4TBv6 score and the symptomatic review for tuberculosis with a threshold score of >40 is 80.2%, and the specificity is 94.0%. The positive Likelihood Ratio is 13.3%, Negative Likelihood Ratio is 0.2 with 7.8% prevalence. Positive Predictive Value is 52.7%, Negative Predictive Value is 98.3%, and accuracy is 92.9%. In a resource-limited country with a high burden of neglected disease, combining chest X-ray readings by CAD4TB and symptomatology is extremely valuable for screening a population at risk. CAD4TB is noticeably more efficient than other methods for TB screening and early diagnosis in people who would otherwise go undetected.

Responses to Hospital Restrictions on Family Visits during the COVID-19 Epidemic in Mali and France.

Few studies have focused on the presence of families in the hospital in the context of an epidemic. The present study aims to contribute to filling this gap by answering the following question: How did professionals, patients and their families cope with more or less drastic restrictions to family visits and presence during the COVID-19 pandemic in a French and a Malian hospital during the COVID-19 pandemic? Data were collected during the first two waves of the pandemic through 111 semi-structured interviews (France = 55, Mali = 56). Most of the interviews were conducted with staff (n = 103), but also with families in the case of Mali (n = 8). The investigators also conducted 150 days of field observations, 44 in France and 106 in Mali. Thematic analysis was applied using an inductive approach. Interviews were content analyzed to identify passages in the interviews that were relevant to these different themes. The study highlighted the difficulty for the medical-clinical system to provide appropriate responses to the many emotional needs of patients in a pandemic context. Families in France benefited from a support service to reduce stress, while in Mali, no initiative was taken in this sense. In both countries, families often used the telephone as an alternative means of communicating with relatives. The results showed that in the two contexts, the presence and involvement of the families contributed to a better response to the patients' psycho-affective demands and thus promoted resilience in this field.

COVID-19 Vaccine's Speed to Market and Vaccine Hesitancy: A Cross-Sectional Survey Study.

Background: This paper aims to assess the extent to which the COVID-19 vaccine's speed to market affected Canadian residents' decision to remain unvaccinated. Method: A cross-sectional survey conducted in late 2021 asked participants whether they had received the vaccine and their reasons for abstaining. Results: Of the 2,712 participants who completed the survey, 8.9% remained unvaccinated. Unvaccinated respondents who selected "They made the vaccine too fast" (59.8%), were significantly more likely to identify as white, believe that the COVID-19 pandemic was not serious and have an unvaccinated social circle. Conclusion: Should the COVID-19 vaccine rapid regulatory process be expanded, more patients may refuse treatment than if traditional timelines are followed.

Did the design and planning of testing and contact tracing interventions for COVID-19 consider social inequalities in health? A multiple case study from Brazil, Canada, France & Mali.

The COVID-19 pandemic has led to an unprecedented global crisis. It has exposed and exacerbated weaknesses in public health systems worldwide, particularly with regards to reaching the most vulnerable populations, disproportionately impacted by the pandemic. The objective of our study was to examine whether and how social inequalities in health (SIH) were considered in the design and planning of public health responses to COVID-19 in jurisdictions of Brazil, Canada, France, and Mali. This article reports on a qualitative multiple case study of testing and contact tracing interventions in regions with high COVID-19 incidence in each country, namely: Manaus (Brazil), Montréal (Canada), Île-de-France (France), and Bamako (Mali). We conducted interviews with 108 key informants involved in these interventions in the four jurisdictions, focusing on the first and second waves of the pandemic. We analyzed our data thematically using a theoretical bricolage framework. Our analysis suggests that the lack of a common understanding of SIH among all actors involved and the sense of urgency brought by the pandemic eclipsed the prioritization of SIH in the initial responses. The pandemic increased intersectoral collaboration, but decision-making power was often unequal between Ministries of Health and other actors in each jurisdiction. Various adaptations to COVID-19 interventions were implemented to reach certain population groups, therefore improving the accessibility, availability, and acceptability of testing and contact tracing. Our study contributes to identifying lessons learned from the current pandemic, namely that the ways in which SIH are understood shape how interventions are planned; that having clear guidelines on how to integrate SIH into public health interventions could lead to more inclusive pandemic responses; that for intersectoral collaboration to be fruitful, there needs to be sufficient resources and equitable decision-making power between partners; and that interventions must be flexible to respond to emerging needs while considering long-standing structural inequalities.

Knowledge, attitude and practice (KAP) and risk factors on dengue fever among children in Brazil, Fortaleza: A cross-sectional study.

BACKGROUND: Dengue fever is a mosquito-borne viral disease that is associated with four serotypes of the dengue virus. Children are vulnerable to infection with the dengue virus, particularly those who have been previously infected with a different dengue serotype. Sufficient knowledge, positive attitudes, and proper practices (KAP) are essential for dengue prevention and control. This study aims to estimate the dengue seropositivity for study participants and to examine the association between households' dengue-related knowledge, attitudes, and practices (KAP), and children's risk of dengue seropositivity, while accounting for socioeconomic and demographic differences in Brazil. METHODOLOGY/PRINCIPAL FINDINGS: This analysis was based on a cross-sectional study from Fortaleza, Brazil between November 2019, and February 2020. There were 392 households and 483 participant children who provided a sample of sufficient quality for serological analysis. The main exposure was a household's dengue-related knowledge, attitudes, and practices, assessed through a questionnaire to construct a composite KAP score categorized into three levels: low, moderate, and high. The main outcome is dengue immunoglobulin G(IgG) antibodies, collected using dried blood spots and assessed with Panbio Dengue IgG indirect ELISA (enzyme-linked immunosorbent assays) test commercial kits. The estimated crude dengue seroprevalence among participating children (n = 483) was 25%. Five percent of households (n = 20) achieved a score over 75% for KAP, sixty-nine percent of households (n = 271) scored between 50% and 75%, and twenty-six percent of households (n = 101) scored lower than 50%. Each KAP domain was significantly and positively associated with the others. The mean percentage scores for the three domains are 74%, 63%, and 39% respectively. We found high household KAP scores were associated with an increased adjusted relative risk (aRR) of seropositivity (aRR: 2.11, 95% CI: 1.11-4.01, p = 0.023). Household adult respondents' education level of elementary school or higher was negatively associated with children's risk of being seropositive (aRR: 0.65, 95% CI: 0.48-0.87, p = 0.005). The risk of seropositivity in older children (6-12 years old) was over 6 times that of younger children (2-5 years old) (aRR: 6.08, 95% CI: 3.47-10.64, p<0.001). Children living in households with sealed water tanks or no water storage had a lower risk of being seropositive (aRR: 0.73, 95% CI: 0.54-0.98, p = 0.035). CONCLUSIONS/SIGNIFICANCE: Our results provide insight into the prevalence of dengue seropositivity in Fortaleza, Brazil in children, and certain demographic and socioeconomic characteristics associated with children's risk of being seropositive. They also suggest that KAP may not identify those more at-risk for dengue, although understanding and enhancing households' KAP is crucial for effective community dengue control and prevention initiatives.

Infection-induced seroconversion and seroprevalence of SARS-CoV-2 among a cohort of children and youth in Montreal, Canada.

The EnCORE study is a prospective serology study of SARS-CoV-2 in a cohort of children from Montreal, Canada. Based on data from our fourth round of data collection (May-October 2022), we estimated SARS-CoV-2 seroprevalence and seroconversion. Using multivariable regression, we identified factors associated with seroconversion. Our results show that previously seronegative children were approximately 9-12 times more likely to seroconvert during the early Omicron-dominant period compared to pre-Omicron rounds. Unlike the pre-Omicron rounds, the adjusted rate of seroconversion among 2- to 4-year-olds was higher than older age groups. As seen previously, higher seroconversion rates were associated with ethnic/racial minority status.

Supporting Reassigned Hospital Staff During the COVID-19 Pandemic in the Montreal Region: What Does it say About Leadership Styles?

Globally, the COVID-19 pandemic took a high toll on health human resources, especially in contexts where these resources were already fragile. In Quebec, to make up for the shortage of health human resources, and to contain the COVID-19 outbreaks in long-term care facilities, many hospital staff (including a majority of nurses) were sent to those facilities, with varying degrees of support. Building on the body of evidence linking leadership style and resilience, we conducted a qualitative comparative analysis of two hospitals in the Montreal Metropolitan Area, Quebec. We explored respondents' experience of psychosocial support tools provided to hospital staff reassigned to COVID-affected facilities. Data from 27 in-depth interviews with high- and mid-level managers, and front-line workers, was analyzed through the lens of leadership styles. Our findings highlighted how the design and implementation of support tools revealed major differences across the two hospitals' leadership styles (i.e., one hospital expressing leader-centered styles vs. the other expressing follower-centered leadership styles). The expression of these leadership styles was largely shaped by recent policies, notably a major political reform of 2015, which enforced more centralized decision-making. Our study offered additional empirical evidence that leadership styles fostering the recovery of health human resources may be a key indicator of successful response to crises.

Hospital Resilience to the COVID-19 Pandemic in Five Countries: A Multiple Case Study.

Since the beginning of the pandemic, hospitals have been central to the COVID-19 response, often experiencing severe financial, material, and human constraints. In this special issue, we present some of the findings of the HoSPiCOVID research project. One of its main objectives was to compare hospital responses to the first and second waves of the COVID-19 pandemic in Brazil, Canada, France, Japan, and Mali. Studying and comparing how nine different hospitals coped with the pandemic in terms of preparedness and response allowed us to: 1) identify strengths and weaknesses of their responses, including challenges for hospital professionals; and 2) produce lessons learned, using a systematic approach to reflect and analyze their potential of resilience to the crisis. In the five countries, research teams conducted in-depth qualitative studies focused on nine large hospitals, using observation sessions, semistructured interviews with hospital professionals, and lessons learned workshops. The empirical work was supported by an original analytical framework on hospital resilience and a heuristic tool focused on configurations. The studies demonstrate that the hospitals were able to absorb and/or adapt to the crisis by deploying different coping mechanisms, which often required extensive involvement of hospital professionals. More extended study periods would be needed to assess the sustainability of these coping mechanisms and discern whether they have transformative potential. These international comparisons of hospital resilience, based on studies of contrasting contexts and epidemiological situations, allowed researchers to identify lessons learned to support hospital decision-makers in thinking more deeply about managing future health crises.

Communication and Information Strategies Implemented by Four Hospitals in Brazil, Canada, and France to Deal with COVID-19 Healthcare-Associated Infections.

During the COVID-19 pandemic outbreak, COVID-19 healthcare-associated infections (HAI) and risk management became major challenges facing hospitals. Using evidence from a research project, this commentary presents: 1) various communication and information strategies implemented by four hospitals and their staff in Brazil, Canada and France to reduce the risks of COVID-19 HAIs, and how they were perceived by hospital staff; 2) the flaws in communication in the hospitals; and 3) a proposed agenda for research on and action to improve institutional communications for future pandemics. By analyzing "top-down" strategies at the organizational level and spontaneous strategies initiated by and between professionals, this study shows that during the first waves of the pandemic, reliable information and clear communication about guidelines and health protocols' changes can help alleviate fears among staff and avoid misapplication of protocols, thereby reducing infection risks. There was a lack of a "bottom-up" communication channel, while, when making decisions, it is crucial to listen to and fully take into account staff's voices, experiences, and feelings. More balanced communication between hospital administrators and staff could strengthen team cohesion and lead to better enforcement of protocols, which in turn will reduce the risk of contamination, alleviate the potential impacts on staff health, and improve the quality of care provided to patients.

Portrait of Montréal healthcare workers infected with SARS-CoV-2 during the first wave of the pandemic: a cross-sectional study.

OBJECTIVES: During the first wave of COVID-19 in Québec, healthcare workers (HCWs) represented 25% of the cases in Montréal. A study was conducted to describe SARS-CoV-2-infected HCWs in Montréal, and certain workplace and household characteristics. Secondary objectives included estimating the associations between having had access to personal protective equipment (PPE) and training, and following self-isolation recommendations, and certain sociodemographic and workplace characteristics. METHODS: A cross-sectional study was conducted, based on a stratified random sample, among Montréal HCWs who tested positive for SARS-CoV-2 between March and July 2020. A total of 370 participants answered a telephone-administered questionnaire. Descriptive statistics were conducted, followed by log binomial regressions to estimate the associations. RESULTS: Study participants were mostly female (74%), born outside of Canada (65%), and identified as Black, Indigenous, and People of Colour (BIPOC; 63%). In terms of healthcare positions, most were orderlies (40%) or registered nurses (20%). Half (52%) of the participants reported having had insufficient access to PPE and 30% reported having received no training related to SARS-CoV-2 infection prevention, with large proportions being BIPOC women. Working evening or night shifts decreased chances of having had sufficient access to PPE (OR 0.50; 0.30-0.83). CONCLUSION: This study describes the profile of the HCWs who were infected during the first wave of the pandemic in Montréal. Recommendations include collecting comprehensive sociodemographic data on SARS-CoV-2 infections and ensuring equitable access to infection prevention and control training and PPE during health crises, particularly those at highest risk of exposure.

RéSUMé: OBJECTIFS: Lors de la première vague de la COVID-19 au Québec, les travailleurs de la santé (TS) représentaient 25 % des cas à Montréal. Une étude a été menée pour décrire les TS infectés par le SRAS-CoV-2 à Montréal, ainsi que certaines caractéristiques liées au travail et au ménage. Les objectifs secondaires visaient à estimer les associations entre le fait d'avoir eu accès à un équipement de protection individuelle (EPI) et à une formation, ainsi que la capacité de suivre les recommandations d'auto-isolement et différentes caractéristiques sociodémographiques et du lieu de travail. MéTHODOLOGIE: Une étude transversale a été menée, sur la base d'un échantillon aléatoire stratifié, parmi les TS de Montréal qui ont été testés positifs pour le SRAS-CoV-2 entre mars et juillet 2020. Un total de 370 participants a répondu à un questionnaire administré par téléphone. Des statistiques descriptives ont été réalisées, suivies de régressions log binomiales pour estimer les associations. RéSULTATS: Les participants étaient en majorité des femmes (74 %), nés à l'extérieur du Canada (65 %) et s'identifiaient comme des personnes Noires, des Autochtones et des personnes de couleur (BIPOC; 63 %). En termes d'emploi dans le système de santé, 40 % étaient des préposés aux bénéficiaires et 20 % des infirmières cliniciennes. La moitié (52 %) des participants ont déclaré ne pas avoir eu un accès suffisant à l'EPI et 30 % ont déclaré n'avoir reçu aucune formation liée à la prévention des infections SRAS-CoV-2, une grande partie d'entre eux étant des femmes BIPOC. Le fait de travailler le soir ou la nuit diminuait les chances d'avoir un accès suffisant aux EPI (OR 0,50; 0,30­0,83). CONCLUSION: Cette étude décrit le profil des travailleurs de santé qui ont été infectés lors de la première vague de la pandémie à Montréal. Les recommandations comprennent la collecte de données sociodémographiques complètes et de s'assurer de fournir de l'EPI et des formations en prévention et contrôle des infections pendant les crises sanitaires, en particulier pour les personnes les plus à risque d'exposition.

Lessons Learned from Field Experiences on Hospitals' Resilience to the COVID-19 Pandemic: A Systematic Approach.

In this concluding article of the special issue, we examine lessons learned from hospitals' resilience to the COVID-19 pandemic in Brazil, Canada, France, Japan, and Mali. A quality lesson learned (QLL) results from a systematic process of collecting, compiling, and analyzing data derived ideally from sustained effort over the life of a research project and reflecting both positive and negative experiences. To produce QLLs as part of this research project, a guide to their development was drafted. The systematic approach we adopted to formulate quality lessons, while certainly complex, took into account the challenges faced by the different stakeholders involved in the fight against the COVID-19 pandemic. Here we present a comparative analysis of the lessons learned by hospitals and their staff with regard to four common themes that were the subject of empirical analyses: 1) infrastructure reorganization; 2) human resources management; 3) prevention and control of infection risk; and 4) logistics and supply. The lessons learned from the resilience of the hospitals included in this research indicate several factors to consider in preparing for a health crisis: 1) strengthening the coordination and leadership capacities of hospital managers and health authorities; 2) improving communication strategies; 3) strengthening organizational capacity; and 4) adapting resources and strategies, including for procurement and infection risk management.

Financial issues in times of a COVID-19 pandemic in a tertiary hospital in Mali.

BACKGROUND: This study examines how the functioning of healthcare providers during the COVID-19 pandemic was affected by the government financing response, which was shaped by existing healthcare financing systems. METHODS: The study applied a single case study design at a tertiary hospital in Bamako during the 1st and 2nd waves of the COVID-19 pandemic. Data were gathered through 51 in-depth interviews with hospital staff, participatory observation, and reviewing media articles and hospital financial records. RESULTS: The study revealed the disruptions experienced by hospital managers, human resources for health and patients in Mali during the early stages of the pandemic. While the government aimed to support universal access to COVID-19-related services, efforts were undermined by issues associated with complex public financing management procedures. The hospital experienced long delays in transferring government funds. The hospital suffered a decrease in revenue during the early stages of the pandemic. Government budgets were not effectively used because of complex, non-agile procedures that could not adapt to the emergency. The challenges faced by the hospitals led to the delays in the staff payments of salaries and promised bonuses, which created potential for unfair treatment of patients. Excluding some COVID-19 related items from the government funded benefit package created a financial burden on people receiving services. The managerial challenges experienced in the study hospital during the first wave continued in the second wave. CONCLUSIONS: Pre-existent issues in healthcare financing and governance constrained the effective management of COVID-19-related services and created confusion at the front line of healthcare service delivery.