Mathematical modeling of infectious diseases and the impact of vaccination strategies.

Mathematical modeling plays a crucial role in understanding and combating infectious diseases, offering predictive insights into disease spread and the impact of vaccination strategies. This paper explored the significance of mathematical modeling in epidemic control efforts, focusing on the interplay between vaccination strategies, disease transmission rates, and population immunity. To facilitate meaningful comparisons of vaccination strategies, we maintained a consistent framework by fixing the vaccination capacity to vary from 10 to 100% of the total population. As an example, at a 50% vaccination capacity, the pulse strategy averted approximately 45.61% of deaths, while continuous and hybrid strategies averted around 45.18 and 45.69%, respectively. Sensitivity analysis further indicated that continuous vaccination has a more direct impact on reducing the basic reproduction number $ R_0 $ compared to pulse vaccination. By analyzing key parameters such as $ R_0 $, pulse vaccination coefficients, and continuous vaccination parameters, the study underscores the value of mathematical modeling in shaping public health policies and guiding decision-making during disease outbreaks.

Developing Training in Response to High-Consequence Infectious Diseases and Preparedness Measures for the Future.

In recent history, outbreaks of high-consequence infectious diseases (HCIDs) have raised health security concerns among the global community. As HCIDs continue to emerge, public health systems around the world experience the burden of implementing adequate preparedness and response measures to ensure the safety and security of their populations. HCID outbreak response efforts have highlighted the need for specialized training in safety and infection prevention and control for frontline workers who may encounter ill patients. The COVID-19 Mission Prep program for National Disaster Medical System personnel and the Deployment Safety Academy for Field Experiences (D-SAFE) program for US Public Health Service officers are 2 examples of virtual training programs that successfully provided foundational education on infection prevention and control and safety as well as deployable just-in-time training during HCID outbreak response efforts. The methods used to develop these training programs can be adopted by other countries to enhance the global outbreak response infrastructure for the next HCID event. The global outbreak response infrastructure demands investments in training as a preparedness measure, which will ultimately lead to safer, more coordinated outbreak response efforts with competent responders.

The optimal spatially-dependent control measures to effectively and economically eliminate emerging infectious diseases.

Non-pharmaceutical interventions (NPIs) are effective in mitigating infections during the early stages of an infectious disease outbreak. However, these measures incur significant economic and livelihood costs. To address this, we developed an optimal control framework aimed at identifying strategies that minimize such costs while ensuring full control of a cross-regional outbreak of emerging infectious diseases. Our approach uses a spatial SEIR model with interventions for the epidemic process, and incorporates population flow in a gravity model dependent on gross domestic product (GDP) and geographical distance. We applied this framework to identify an optimal control strategy for the COVID-19 outbreak caused by the Delta variant in Xi'an City, Shaanxi, China, between December 2021 and January 2022. The model was parameterized by fitting it to daily case data from each district of Xi'an City. Our findings indicate that an increase in the basic reproduction number, the latent period or the infectious period leads to a prolonged outbreak and a larger final size. This indicates that diseases with greater transmissibility are more challenging and costly to control, and so it is important for governments to quickly identify cases and implement control strategies. Indeed, the optimal control strategy we identified suggests that more costly control measures should be implemented as soon as they are deemed necessary. Our results demonstrate that optimal control regimes exhibit spatial, economic, and population heterogeneity. More populated and economically developed regions require a robust regular surveillance mechanism to ensure timely detection and control of imported infections. Regions with higher GDP tend to experience larger-scale epidemics and, consequently, require higher control costs. Notably, our proposed optimal strategy significantly reduced costs compared to the actual expenditures for the Xi'an outbreak.

Impact of COVID-19 lockdown measures on mother and child health - the case of Ghana.

BACKGROUND: The lockdown measures in response to the coronavirus disease (COVID-19) have led to a wide range of unintended consequences for women and children. Until the outbreak of COVID-19, attention was on reducing maternal and infant mortality due to pregnancy and delivery complications. The aim of this study was to interrogate the impact of lockdown measures on women and children in two contrasting districts in Ghana - Krobo Odumase and Ayawaso West Wuogon. METHODS: This study adopted the mixed-method approach using both qualitative and quantitative data. The qualitative study relied on two data collection methods to explore the impacts of COVID-19 control measures on women and children in Ghana. These were: Focus Group Discussions (FGDs; n = 12) and Key Informant Interviews (KIIs; n = 18). The study complemented the qualitative data with survey data - household surveys (n = 78) which were used to support the nutrition and school closure data; and policy data gathered from government websites consisting of government responses to COVID-19. The qualitative data was analysed using the thematic approach with codes generated apriori with the NVIVO software. The quantitative data used percentages and frequencies. RESULTS: Engagements with participants in the study revealed that the lockdown measures implemented in Ghana had consequences on child and maternal health, and the health care system as a whole. Our study revealed, for example, that there was a decrease in antenatal and postnatal attendance in hospitals. Childhood vaccinations also came to a halt. Obesity and malnutrition were found to be common among children depending on the location of our study participants (urban and rural areas respectively). Our study also revealed that TB, Malaria and HIV treatment seeking reduced due to the fear of going to health facilities since those ailments manifest similar symptoms as COVID 19. CONCLUSION: Government responded to COVID-19 using different strategies however the policy response resulted in both intended and unintended consequences especially for women and children in Ghana. It is recommended that national policy directions should ensure the continuous provision of child and maternal healthcare services which are essential health services during lockdowns.

Changes in household use of disinfectant and cleaning products during the first lockdown period in France.

BACKGROUND: Few studies evaluated the use of Household Disinfectant and Cleaning Products (HDCPs) during the COVID-19 pandemic, but no population-based cohorts used longitudinal data. We studied changes in HDCPs during the first lockdown, based on longitudinal data from the French population-based NutriNet-Santé and CONSTANCES cohorts. METHODS: Based on standardized questionnaires on household cleaning tasks in 2018-2019 and around the first lockdown in France (March17-May3 2020), we compared the duration of weekly use of HDCPs (< 1 day/week, < 10 min/week; 10-30 min/week; > 30 min/week) and the household cleaning help (yes/no) before and during the lockdown period by Bhapkar and McNemar's tests. Moreover, we assessed self-reported changes in the frequency of HDCPs during the lockdown from before (unchanged/increased). RESULTS: Analyses were carried on 31,105 participants of NutriNet-Santé (48 years, 75% women, 81% ≥ high school diploma) and 49,491 of CONSTANCES (47 years, 51% women, 87% ≥ high school diploma). During the lockdown, compared with 2018-2019, duration of HDCPs use increased (> 30 min; NutriNet-Santé: 44% versus 18%; CONSTANCES: 63% versus 16%) and household help decreased (NutriNet-Santé: 5% versus 40%; CONSTANCES: 3% versus 56%). Regarding the frequency of HDCPs use, 55% of participants of NutriNet-Santé (57% women/49% men) and 83% of CONSTANCES (86% women/81% men) reported an increased use since the beginning of the lockdown, significantly higher among women (p < 0.0001). CONCLUSIONS: The frequency and duration of weekly use of HDCPs has significantly increased since the pandemic. As the use of HDCPs is associated with health issues, further studies are now needed to evaluate the potential health impacts of these changes.

[Establishment and application of infectious disease monitoring, early warning and disposal system].

Using big data and artificial intelligence to establish a multi-point monitoring, early warning, and disposal system to achieve early warning and intervention of infectious disease outbreaks is an important means of controlling the spread of the epidemic. Taking Xiaoshan district as an example, this study analyzes the monitoring contents, warning methods, and application effectiveness of the infectious disease monitoring, early warning and disposal system. Based on Xiaoshan's health big data resources, the system starts with syndrome, disease diagnosis and etiology. Through advanced technologies such as artificial intelligence and block chain, it realizes early identification of infectious disease outbreaks, data fusion, multi-cross collaboration, and closed-loop management. It has improved the sensitivity of clustered outbreaks monitoring and the effectiveness of epidemic disposal and provided a reference for grassroots disease prevention and control departments to establish an infectious disease monitoring and early warning system.

Effective community-based interventions to prevent and control infectious diseases in urban informal settlements in low- and middle-income countries: a systematic review.

BACKGROUND: The impact of rapid urbanization taking place across the world is posing variegated challenges. Especially in terms of communicable disease, the risk is more concentrated in urban poor areas where basic amenities are inadequate. This systematic review synthesizes evidence on the effective community-based interventions (CBIs) aimed at preventing and controlling infectious diseases among the urban poor in low- and middle-income countries (LMICs). METHODS: This systematic review was conducted following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines. A comprehensive search across five major databases was conducted to capture literature on CBIs published between 2011 and 2021. Scientific articles of any design that reported any type of CBIs effective in preventing and controlling infectious diseases (tuberculosis, diarrhea, typhoid, dengue, hepatitis B and C, influenza, and COVID-19) were included. Screening and selection of studies were done by two pairs of independent researchers using the predefined eligibility criteria. The risk of bias in included studies was assessed using the modified checklist outlined in the Cochrane Handbook for Systematic Reviews of Interventions and Effective Public Health Practice Project (EPHPP). Analysis of effective CBIs was guided by the conceptual framework for integrated CBIs for neglected tropical diseases (NTDs), and narrative synthesis was carried out. Geographical restrictions were limited to LMICs and papers published in English. RESULTS: Out of 18,260 identified papers, 20 studies met the eligibility criteria and were included in this review. Community-based screening and socio-economic support, community-based vector control, behavior change communication, capacity building of the community health workers (CHWs), health education, and e- and m-health interventions were found as effective CBIs. Diversified CBIs were found to be effective for specific diseases, including tuberculosis (TB), diarrhea, dengue, influenza and ARI, and hepatitis B and C. Bundling of interventions were found to be effective against specific diseases. However, it was difficult to isolate the effectiveness of individual interventions within the bundle. The socio-cultural context was considered while designing and implementing these CBIs. CONCLUSION: The effectiveness of an intervention is inextricably linked to social context, stakeholder dimensions, and broader societal issues. System approach is recommended, emphasizing context-specific, multi-component interventions that address social determinants of health. Integrating these interventions with public health strategies and community involvement is crucial for sustainable outcomes. These findings can guide the design of future interventions for better prevention and control of communicable diseases in urban poor areas. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42021278689.

Developing a European framework for the prevention of communicable diseases: three points for attention.

The capacity to deliver programmes that prevent and control infectious diseases is a key public health function. The European Centre for Disease Prevention and Control (ECDC) aims to support and strengthen this capacity in European Union/ European Economic Area (EU/EEA) countries as part of its 2021-27 strategy which includes explicit attention to social and behavioural aspects of disease prevention. To achieve its strategic goals, it is important that ECDC improves its knowledge of prevention strategies, actors and activities in EU/EEA countries. In this Perspective, we summarise three challenges to implementing the prevention framework proposed by ECDC: (i) defining, recognising and identifying with 'prevention', (ii) integrating new understandings into established ways of thinking, and (iii) the need for more attention to prevention in governance. These challenges are derived from the findings of a project which conducted a preliminary mapping of prevention actors, networks and activities in four EU countries to support the development of a community of practice within the new ECDC prevention framework. This Perspective serves to draw attention to this prevention framework and the three identified challenges for those working on its implementation.

Hajj vaccination strategies: Preparedness for risk mitigation.

Millions of pilgrims travel annually to Makkah and Madinah, Saudi Arabia, for the Hajj, posing unique challenges for public health management and disease control. The large influx of pilgrims from diverse backgrounds traveling to a confined geographic area, coupled with the close proximity and interactions among them, create significant pressure on the healthcare system and heighten the potential for the spread of communicable diseases. This review examines current trends in communicable diseases and their impact, drawing insights from expert perspectives on the required (i.e., meningococcal meningitis, polio, and yellow fever) and recommended vaccinations (influenza, COVID-19) for Hajj participants. The updated COVID-19 vaccine is mandatory for local pilgrims and is strongly recommended for international visitors, with ongoing discussions on adapting protocols to address emerging variants. The timing and strain coverage of influenza vaccination, along with quadrivalent meningococcal vaccination, are also emphasized as critical preventive measures. Diseases such as cholera and yellow fever are addressed underscoring the need for rigorous surveillance and targeted vaccination strategies to mitigate the risk of transmission during the Hajj. By providing up-to-date information on mandated and recommended vaccinations, this review aims to empower pilgrims and healthcare professionals to make informed decisions regarding public health and disease prevention during this significant event.

Life after Lockdown: An Exploratory Qualitative Study of Behaviors and Impacts of Avoiding COVID-19 in Individuals at High Risk of Severe COVID-19 and Their Caregivers.

This exploratory qualitative study involved semi-structured interviews with adults and caregivers of adults at high risk of severe COVID-19, addressing current COVID-19 avoidance and protective behaviors and how these behaviors impacted their lives. Results were interpreted in a separate think tank session. Insights were developed into a conceptual model of COVID-19 avoidance and protective behaviors and the associated impacts on health-related quality of life and overall functioning. Data were interpreted using a hybrid inductive and deductive thematic analysis. Twelve high-risk individuals and two caregivers were interviewed across four focus groups (April-July 2022). Major behavioral themes included physical distancing, physical and medical protection, quality of support services and networks, and information to make decisions. Major impacts included family, social, and emotional functioning; work and finances; and healthcare access. The final conceptual model comprised 13 behaviors to avoid COVID-19 categorized within four themes, and 13 impacts within five themes. Individuals at high risk of severe COVID-19 and their caregivers continue practicing COVID-19 avoidance behaviors post-lockdown and feel left behind by the general population. Our conceptual model may be used to inform health authorities and other governing bodies' decisions in executing strategies aimed at improving these individuals' lives.

[Progress of interruption of schistosomiasis transmission and prospects in Yunnan Province].

Schistosomiasis was once hyper-endemic in Yunnan Province. Following concerted efforts for over 70 years, remarkable achievements have been made for schistosomiasis control in the province. In 2004, the Mid- and Long-term Plan for Schistosomiasis Prevention and Control in Yunnan Province was initiated in Yunnan Province, and the target for transmission control of schistosomiasis was achieved in the province in 2009. Following the subsequent implementation of the Outline for Key Projects in Integrated Schistosomiasis Control Program (2009-2015) and the 13th Five - year Plan for Schistosomiasis Control in Yunnan Province, no acute schistosomiasis had been identified in Yunnan Province for successive 12 years, and no local Schistosoma japonicum infections had been detected in humans, animals or Oncomelania hupensis snails for successive 6 years in the province by the end of 2020. The transmission of schistosomiasis was interrupted in Yunnan Province in 2020. This review summarizes the history of schistosomiasis, changes in schistosomiasis prevalence and progress of schistosomiasis control in Yunnan Province, and proposes the future priorities for schistosomiasis control in the province.

Development and validation of an infectious disease control competency scale for public health professionals.

BACKGROUND: Infectious diseases persistently pose global threats, and it is imperative to accelerate the professionalization of public health workforce. This study aimed to develop and validate the infectious disease control competency scale (IDCCS) for public health professionals to fill a theoretical gap and elevate practical capabilities by informing public health professionals' development goals. METHODS: The initial item pool was generated through a literature review, and categorized into three dimensions (knowledge, practical skills, and leadership) based on the competency iceberg model and public health leadership framework. A two-round Delphi process was conducted to determine indicators within the scale. A pilot survey was utilized for item analysis and exploratory factor analysis (EFA). A formal survey was employed for confirmatory factor analysis (CFA). The weight value of each indicator was calculated using the analytic hierarchy process. RESULTS: An initial scale with three primary items, 14 secondary items, and 81 tertiary items was generated. Twenty experts participated in the two rounds of the Delphi process. Authority coefficients exceeded 0.9 in both rounds. Kendall's W was 0.29 and 0.19, respectively (both P < 0.001). Item analysis presented a Cronbach's Alpha of 0.98, with corrected item-total correlation coefficients ranging from 0.33 to 0.78. EFA demonstrated that cumulative variance explanations for the four primary dimensions (knowledge, practical skills, leadership, and personal quality) were 77.463%, 73.976%, 81.174%, and 68.654%, respectively. CFA indicated that all composite reliability values and average variance extracted surpassed 0.8 and 0.5, respectively. The standardized factor loadings of the items ranged from 0.630 to 0.977. Among the seven model fit indices, each of the four dimensions satisfied at least five criteria. A final three-level scale comprising four primary items, 14 secondary items, and 64 tertiary items was constructed. The weight values for the four primary items were 0.4064, 0.2878, 0.2082, and 0.0981, respectively. CONCLUSIONS: The IDCCS was established to evaluate the competencies of knowledge, practical skills, leadership, and personal quality for public health professionals in infectious disease control. This scale demonstrates good reliability and validity, and can be used for performance evaluation, recruitment processes, curriculum development, and individual self-assessment.

Rabbit Spleen and Medicinal Herbs: Animal Infectious Diseases, Grassroots Communes, and the State in Maoist China.

This article explores how Mao-era China responded to major epizootic and zoonotic diseases. It foregrounds a series of patterns in fighting contagious animal diseases-lockdowns, quarantines, disinfection, mass animal vaccination, mass education, and prioritizing the treatment of infected animals over mass culling-which were together called the Comprehensive Prevention and Treatment (CPT). Shedding light on this understudied topic in the fields of the history of medicine and of the People's Republic of China (PRC), the author argues that it was not the central or provincial governments but rather local communes that led the effort to protect livestock from animal infectious diseases. This article critically demonstrates how the story of the CPT highlights the resilience of communal actors as well as the possibilities and limitations of the Maoist ideal of self-reliance.

Falls in focus: an analysis of the rate of falls in 25 Australian residential aged care facilities from 2019 to 2021, pre- and during COVID-19 lockdowns.

INTRODUCTION: During 2020-2021 Australia maintained comparatively low rates of COVID-19 in the community and residential aged care facilities (RAC) due to stringent public health measures such as lockdowns. However, the public health measures implemented may have had unintended impacts on critical RAC resident health outcomes, such as falls, due to routine care disruptions and aged care resident isolation. We utilised a longitudinal data to assess the association between COVID-19 lockdowns and the rate of falls in RAC settings. METHODS: A longitudinal cohort study was conduct using routinely collected data from 25 RAC facilities from one non-profit aged care provider in Sydney, Australia. The study included 2,996 long term residents between March 2019 and March 2021. The outcome measures were all falls, injurious falls, and falls assessed as requiring hospitalisation. Generalised estimating equations (GEE) were applied to determine the association between COVID-19 lockdown periods and fall-related outcomes while adjusting for confounders and seasonality. RESULTS: During the study period 11,658 falls were recorded. Residents frequently experienced at least one fall during the study period (median: 1, interquartile range: 0-4). During Lockdown 1 (March-June 2020) the rate of all falls increased 32% (IRR 1.32, 95% CI 1.19-1.46, p < 0.01) and the rate of injurious falls increased by 28% (IRR 1.28, 95% CI 1.12-1.46, p < 0.01) compared to pre-pandemic rates. The rate of falls assessed as requiring hospitalisation remained unchanged during Lockdown 1 (IRR 1.07, 95% CI 0.86-1.32, p = 0.519). During Lockdown 2 (Dec 2020-Jan 2021) the rate of all falls, injurious falls, and falls assessed as requiring hospitalisation did not change significantly compared to pre-pandemic rates. CONCLUSION: These findings suggest that the consequences of stringent COVID-19 restrictions, as seen in Lockdown 1, produced changes in residents' care which contributed to more falls and associated harm. The subsequent lockdown, which were less restrictive and occurred after staff had gained experience, was associated with no significant increase in falls rate. The nature and extent of lockdowns implemented for infection control in RAC need to balance multiple potential adverse effects. Factors which facilitated resilience during this period require exploration in future research.

Effectiveness of non-pharmaceutical interventions for COVID-19 in USA.

Worldwide, governments imposed non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic to contain the pandemic more effectively. We examined the effectiveness of individual NPIs in the United States during the first wave of the pandemic. Three types of analyses were performed. First, a prototypical Bayesian hierarchical model was employed to gauge the effectiveness of five NPIs and they are gathering restriction, restaurant capacity restriction, business closure, school closure, and stay-at-home order in the 42 states with over 100 deaths by the end of the wave. Second, we examined the effectiveness of the face mask mandate, the sixth and most controversial NPI by counterfactual modeling, which is a variant of the prototypical Bayesian hierarchical model allowing us to answer the question of what if the state had imposed the mandate or not. The third analysis used an advanced Bayesian hierarchical model to evaluate the effectiveness of all six NPIs in all 50 states and the District of Columbia, and thereby provide a full-scale estimation of the effectiveness of NPIs and the relative effectiveness of each NPI in the entire United States. Our results have enhanced the collective knowledge on the general effectiveness of NPIs in arresting the spread of COVID-19.

Association of the COVID-19 lockdown with health risk behaviors in South Korean adolescents.

Since there is no certainty about when the coronavirus disease 2019 (COVID-19) lockdown will be affected by health risk behaviors, so we investigate the effect of COVID-19-related health risk behavior changes using school-based self-reported data from a nationally representative South Korean adolescent population. We analyzed web-based self-reported data from the Korea Youth Risk Behavior Web-based Survey in 111,878 participants (57,069 in COVID-19 prepandemic); 54,809 in during the COVID-19 pandemic. This study included 12 to 18-year-olds. Self-report questionnaires were used to assess socioeconomic status, health risk behaviors, and psychological factors. Health risk behaviors such as alcohol consumption, substance use, and sexual experience significantly decreased in COVID-19 pandemic than in COVID-19 prepandemic. Psychosomatic changes such as stress levels, violence experience, depression, suicidal ideation, suicidal plans, and suicide attempts were significantly lower in COVID-19 pandemic compared to COVID-19 prepandemic (P < .001). After adjusting for multiple confounding variables, less alcohol consumption (odds ratio [OR] = 0.98; 95% confidence interval [CI] = 0.88-0.93), less exercise (OR = 0.92; 95% CI = 0.89-0.94), less sexual experience (OR = 0.82; 95% CI = 0.77-0.86), less violence experience (OR = 0.61; 95% CI = 0.55-0.67), less stress (OR = 0.86; 95% CI = 0.84-0.88), less depression (OR = 0.85; 95% CI = 0.83-0.88), less suicidal ideation (OR = 0.93; 95% CI = 0.89-0.97), plans (OR = 0.82; 95% CI = 0.76-0.88), attempts (OR = 0.78; 95% CI = 0.71-0.85) were significantly associated with the COVID-19 pandemic compared to COVID-19 prepandemic. The COVID-19 pandemic was associated with changes in health risk behaviors among Korean adolescents, resulting in alcohol drinking, sexual experience, drug use, violence experience, and suicidal behaviors (idea, plan, and attempts) being decreased during the lockdown period.

Clinical effects of non-pharmaceutical interventions for COVID-19 on other nationally notifiable infectious diseases in South Korea.

BACKGROUND/AIMS: This study aimed to assess the impact of non-pharmaceutical interventions (NPIs) implemented during the COVID-19 pandemic on nationally notifiable infectious diseases (NNIDs) in South Korea. METHODS: Long-term data on seven NNIDs from 2018 to 2021 were analyzed to identify trends and change points using a change point detection technique. The timings of the NPI implementations were compared to the identified change points to determine their association. RESULTS: Varicella, mumps, and scarlet fever showed a significant decrease in incidence following the implementation of NPIs during the COVID-19 pandemic. These diseases, which are primarily transmitted through respiratory droplets, demonstrated a clear response to NPIs. However, carbapenem-resistant Enterobacterales (CRE) showed an increasing trend unrelated to the timing of NPI implementation, suggesting the complex nature of controlling healthcare-associated infections. Hepatitis A, hepatitis C, and scrub typhus did not show significant changes associated with NPIs, likely due to their non-respiratory route of transmission. CONCLUSION: NPIs effectively controlled NNIDs, particularly those transmitted through respiratory infections. However, the impact varied depending on the disease. Understanding the effectiveness and limitations of NPIs is crucial for developing comprehensive public health strategies during infectious disease outbreaks.

The Role of High-Level Isolation Units in Response to High-Consequence and Emerging Infectious Diseases: Experience of the German STAKOB Network.

This case study describes the experience of the German Permanent Working Group of Competence and Treatment Centers for High Consequence Infectious Diseases, known as STAKOB (Ständiger Arbeitskreis der Kompetenz- und Behandlungszentren für Krankheiten durch hochpathogene Erreger). STAKOB brings together public health authorities (competence centers) and high-level isolation units (treatment centers) to collaborate on the clinical management of high-consequence infectious diseases (HCIDs) and emerging infectious diseases. The network is coordinated by the Robert Koch Institute, Germany's federal public health institute. The main tasks of STAKOB are to strengthen HCID clinical and public health management and increase expert knowledge on HCID and non-HCID emerging infectious diseases in Germany. STAKOB enables the exchange of knowledge and experiences; development of guidelines on infection prevention and control measures, clinical management, and therapy; and support for the World Health Organization and other outbreak responses internationally. The past years have shown how important the STAKOB network is for Germany-not only in providing critical care for HCID cases but also increasing capacity to support public health and clinical management of emerging infectious disease cases. However, maintaining several high-level isolation units in Germany requires a high commitment of financial, material, and human resources. Due to the rarity of HCID and emerging infectious disease events, maintaining the appropriate level of preparedness and ensuring sufficient investments is an ongoing struggle. Nevertheless, it is essential to have a network ready to react to HCID and non-HCID emerging infectious diseases in times of a changing biosecurity and infectious landscape.