Emergency Response Activities Research Articles

Strength Analysis of Windlass Foundation on Hospital Auxiliary Ship by Using Finite Element Method

Indonesia is a country whose territory consists mostly of waters and islands, to support the health sector, especially for remote and inland areas and disaster emergency response activities, a means of transportation is needed that can cover and serve the area, one of which is the Hospital Auxiliary Ship (BRS). This ship is equipped with hospital facilities and infrastructure equivalent to a Type C Hospital. In its operation, the ship cannot be separated from mooring activities, therefore, the existence of a windlass as a supporting facility for lowering anchor activities is important. The windlass foundation must have optimal strength and efficiency by taking into account the reference or class as the standard used. With these considerations, this research was conducted to determine the optimality of the windlass foundation used by the Hospital Auxiliary Ship, by analyzing the maximum stress value, maximum deflection, and safety factor using the Finite Element Method. The analysis is carried out by providing load variations, namely ship loads and environmental loads. The simulation results will be compared with the calculation results based on Lloyd's Register Rules and Regulation and Biro Klasifikasi Indonesia (BKI) regulations. Reviewing the simulation results due to ship loads and environmental loads when the windlass angle is 0o, the maximum stress is 25.56 MPa, the maximum deflection is 0.01366 mm, and the safety factor is 7.81. Meanwhile, when the windlass angle is 25o, the maximum stress is 23.29 MPa, the maximum deflection is 0.01346 mm, and the safety factor is 8.58. Based on the results of calculations and analysis, it is concluded that several criteria with several angular positions formed by the windlass before and during operation still meet the criteria set by Lloyd's Register Rules and Regulation and Biro Klasifikasi Indonesia.

Multi-level dynamic zoning design to improve the restorative capability of resilience: An emergence response in water contamination flushing

ABSTRACT The conventional district metered areas (DMAs) bounded by closed valves reduce space of emergency response actions to cope with system failure or emergency events for resilience improvement. In order to improve the restorative capability of a zoning water distribution system (WDS), a novel dynamic DMA optimization design method and a coupled emergency response strategy are proposed. A multi-level zoning method is applied to determine optimization of water source areas (WSAs), pressure management areas (PMAs), and dynamic DMAs. A coupled emergency response strategy of WDS zoning, valve closure, hydrant flushing, and dynamic DMA adjustment is proposed and validated in a real large-scale water distribution network. The results show that the coupled emergency response strategy based on dynamic DMA can enhance capacity for dynamic emergency response and improve resilience during contamination flushing.

Collaborative governance and effectiveness during emergency response actions in Norway

The challenges of emergency response often reflect wicked problems that transcend conventional public policy and require networked strategies. This article examines how the combination of hierarchical and network elements in the Norwegian model of “collaborative emergency preparedness” affects emergency outcomes. This model supports formal volunteer and public collaboration and enables a mix of command and network coordination. A survey of more than 1500 volunteers from Norway's major emergency response organizations shows that procedures, leadership, communication and technology significantly influence the quality of coordination and perceived effectiveness. Trust in the police and the volunteer's own organization also influences perceived effectiveness, depending on who is leading the operation. The results are, to a large extent, consistent with our integrated theoretical framework, showing that both formal and informal elements influence the response effectiveness in a hybrid governance system.

The emergency medical teams initiative in the WHO African region: a review of the development and progress over the past 7 years.

The WHO Emergency Medical Teams (EMT) Initiative coordinates the deployment of qualified medical teams who promptly respond to public health emergencies (PHEs) and provide quality service during emergencies whilst strengthening capacity. Globally, 40 EMTs have been classified between 2016 and the present (as of the writing of this article in December 2023) and are from across all the WHO regions except the WHO Africa Region (AFRO). However, WHO Africa has prioritised the implementation of EMTs in 10 priority countries to address the public health emergencies (PHEs) affecting the region. This article describes the development and progress of national EMTs in the WHO African Region over the past 7 years and elucidates the main lessons learned and the complexity and challenges in the process. This study employed a case study approach because of its appropriateness in examining a complex social phenomenon in a socio-political context in depth, using multiple lenses simultaneously. Data and information were obtained through document reviews and key informant interviews (KIIs) (n = 5) with the members of the EMT Initiative on shared field experiences. Data were systematically analysed using the Stages of Implementation Completion (SIC) framework, and the lessons learnt were presented using components of a framework from Adini et al. The Initiative commenced in the WHO African Region following its launch in December 2017 in Senegal. The assessments of the concept's engagement (involved learning and deciding), feasibility (reviewing expectation and capacity), and readiness planning (collaborating and preparing) showed that the context-specific (African context) challenges, lessons from different emergency response actions mainly guided the Initiative's pre-implementation phase in the region and prompted the WHO emergency leadership on the urgency and need for the EMT concept in the region. The assessment of the implementation processes showed progress in key areas, with staff demonstrating improved competency, EMT services maintaining high fidelity, effective consultation launching critical components, and ongoing services providing successful support and monitoring. Creating the N-EMTs and revitalising the EMT concept required an aligned strategy with other regional emergency programmes and a futuristic vision. Proposed sustainability and governance components include creating N-EMT, developing a coordination structure, collaborating with partners, and finalising the N-EMT. The Initiative is an imperative component that would allow better-targeted management of health emergencies in the region. The continuous refinement of the EMT initiative is crucial. There is a need to work on additional components, such as a context-specific framework for collaborations and partnerships that would enhance deployment and procurement modalities and the complementarity between other regional initiatives to improve the work. Emphasis should be placed on strengthening local health systems, enhancing training and capacity-building programmes, and fostering regional and international collaborations. Additionally, sustainable funding and resource allocation are essential to ensure the resilience of EMTs in the African region and their long-term success.

Rural community response to accidental toxic gas release: An individual emergency response model during self-organized evacuations

The emergency response ability in rural areas is weaker than in urban areas. Once a major accident occurs in a rural area, it is more likely to cause serious consequences. Thus, we propose a individual emergency response model during self-organized evacuations after accidental toxic gas releases in rural areas. The proposed model can reproduce emergency information dissemination and individual emergency decision-making in self-organized evacuations. We propose an improved susceptible infected recovered model for emergency information dissemination process. At the same time, we propose a emergency decision-making mechanism to simulate individual emergency actions. In this model, individual personality characteristics will affect the accessing and disseminating individual emergency information. Then, we conduct a simulation experiment based on methanol leakage in a rural community. Through comparative experiments, we found that the traditional model may be too pessimistic in estimating emergency information dissemination results, underestimating shadow evacuation. In noncompliance evacuation areas, loudspeakers can inhibit individuals from unnecessarily evacuating who are close to it, and may cause individuals far away from it to evacuate unnecessarily. When formulating emergency response strategies, managers should focus on groups with weak access to information and consider the impact of loudspeaker locations on individual emergency response actions.

Developing risk profiling for firefighters: Enhancing safety and performance

Firefighters encounter numerous complex and ever-changing hazards when carrying out emergency response activities, necessitating the development of effective risk profiling methods to enhance both their safety and operational efficiency. This study outlines a comprehensive approach to constructing risk profiles tailored specifically for firefighters, integrating various methodologies to create a robust and adaptable framework. The methods used incorporating historical incident data, environmental variables, and individual firefighter characteristics to identify and assess potential risks. Additionally, the risk profiling framework include Psychosocial risk factors are also considered, allowing for a holistic understanding of the human element in firefighting risk assessment. By developing risk profiles to the specific needs and characteristics of firefighters, this method aims to significantly improve their safety, ability to make decisions, and overall operational efficiency in the demanding and ever-changing setting of emergency response situations.This article discussed methods•To identify safety cultures using questionnaires•To analyse risk from incident reports using content analysis•To verify and validate risk using thematic analysis from Focus Group Discussion

Emergency response actions modeling and time analysis: Considering priority of actions

When a major chemical accident occurs, emergency response is an important measure to reduce accident losses. Some actions in an emergency response may be more important than others in reducing accident losses, so they need to be carried out as a matter of priority. The impact of the number of emergency personnel on the relationship between emergency response actions and time of emergency response process is analyzed in this paper in the circumstance that the number of responders is not enough to carry out emergency actions with priority at the same time, and a Petri-net based approach is proposed to model and analyze the actions. An emergency response action that needs to consider its priority is divided into two stages, one is to determine the personnel for executing the action, the other is the execution of the action. This division facilitates the handling of dynamic changes in the relationship between actions and differences in start time of the actions. The approach is illustrated by taking the emergency response of on-site emergency personnel of a chemical plant to a fire as an example. The efficiency of the emergency process is analyzed, and for the action of rescuing the wounded, which has the highest priority in the example, the time and the probability when considering the priority of emergency response actions are compared with those when not considering the priority.

Does disseminating scientific information on social media promote public health during the COVID‐19 pandemic?

AbstractCountries worldwide are transitioning their emergency response activities into long‐term management of COVID‐19. One promising strategy to mitigate the pandemic is combining the widespread use of social media with the potential impact of scientists on science education to create healthier information ecosystems. This study analyzed data from 189 online polls involving 1,391,706 participants who are either Sina Weibo or Tencent WeChat users to explore the impact of scientific information disseminated on social media on public health. This study aimed to address the following questions: (1) Does scientific information disseminated on social media help its audiences avoid becoming infected with COVID‐19? (2) To what extent does scientific information make a difference in the infection rate of its audiences? Our study found that the COVID‐19 un‐infection rate of the audiences receiving scientific information is significantly higher than that of the general social media users. There is a significant and lasting positive correlation between the dissemination of scientific information and the un‐infection rate of its audiences. We suggest that creating healthier information ecosystems should be integrated into the long‐term management of COVID‐19, as updating the public's beliefs about the pandemic is fundamental to mitigating the ongoing threat of the COVID‐19 pandemic.

Updated Predictive Models for Permanent Seismic Displacement of Slopes for Greece and Their Effect on Probabilistic Landslide Hazard Assessment

Earthquake-triggered landslides have been widely recognized as a catastrophic hazard in mountainous regions. They may lead to direct consequences, such as property losses and casualties, as well as indirect consequences, such as disruption of the operation of lifeline infrastructures and delays in emergency response actions after earthquakes. Regional landslide hazard assessment is a useful tool to identify areas that are vulnerable to earthquake-induced slope instabilities and design prioritization schemes towards more detailed site-specific slope stability analyses. A widely used method to assess the seismic performance of slopes is by calculating the permanent downslope sliding displacement that is expected during ground shaking. Nathan M. Newmark was the first to propose a method to estimate the permanent displacement of a rigid body sliding on an inclined plane in 1965. The expected permanent displacement for a slope using the sliding block method is implemented by either selecting a suite of representative earthquake ground motions and computing the mean and standard deviation of the displacement or by using analytical equations that correlate the permanent displacement with ground motion intensity measures, the slope’s yield acceleration and seismological characteristics. Increased interest has been observed in the development of such empirical models using strong motion databases over the last decades. It has been almost a decade since the development of the latest empirical model for the prediction of permanent ground displacement for Greece. Since then, a significant amount of strong motion data have been collected. In the present study, several nonlinear regression-based empirical models are developed for the prediction of the permanent seismic displacements of slopes, including various ground motion intensity measures. Moreover, single-hidden layer Artificial Neural Network (ANN) models are developed to demonstrate their capability of simplifying the construction of empirical models. Finally, implementation of the produced modes based on Probabilistic Landslide Hazard Assessment is undertaken, and their effect on the resulting hazard curves is demonstrated and discussed.

Emergency response, and community impact after February 6, 2023 Kahramanmaraş Pazarcık and Elbistan Earthquakes: reconnaissance findings and observations on affected region in Türkiye

AbstractTürkiye has a long history of devastating earthquakes, and on February 6, 2023, the region experienced two major earthquakes with magnitudes of 7.7 and 7.6, striking Pazarcık and Elbistan, Kahramanmaraş, respectively, on the East Anatolian Fault Zone. These earthquakes resulted in significant loss of life and property, impacting multiple cities across 11 cities, and leaving a lasting impact on the country. The 2023 Kahramanmaraş Earthquakes rank among the deadliest and most damaging earthquakes in Türkiye, alongside the historical significance of the 1939 Erzincan Earthquake and the 1999 Marmara Earthquake. Despite reforms following the 1999 Marmara Earthquake in disaster policy and preparedness, the scale of damage from the February 6 earthquakes has been shocking, necessitating further insights and lessons for future earthquake management. This paper presents the outcomes of immediate response efforts organized after the 2023 Kahramanmaraş earthquakes to elucidate emergency response activities and their impacts on communities, considering the substantial size and severity of the damages. The study focuses on evaluating the emergency response provided within the first 24 h, 3 days, and 2 weeks after the earthquakes, aiming to promptly identify the nature and effectiveness of these responses, as well as the conditions that hindered their efficacy. By shedding light on the specific experiences and challenges faced during these crucial timeframes, the research aims to offer valuable insights and lessons learned. These findings contribute to improved preparedness strategies and more efficient emergency response measures needed in responding to future disaster scenarios. Ultimately, this study provides a useful resource for all stakeholders involved in emergency response and disaster management, offering valuable guidance to enhance resilience and preparedness in the face of seismic hazards.

Analisis Instrumen Model Mitigasi Banjir di Indonesia

One of measures to reduce the flood impact in Indonesia has been done by flood emergency response action plan. The action plan is generated from decision making process assisted by instrument such computer models which have capability in producing scenarios and decision to be taken. This research is conducted to identify how the written procedures (delivered by international and national agencies) related to flood emergency response, being accommodated by those (computer) models. By using qualitative analysis, the element procedures of an effective flood emergency response model have been reviewed. The result shows that the detailed information such human and material resources, facilities information, and warning time-lag, have not been properly and entirely accommodated by the (computer) model. Highlights are also given to propose more effective instrument to improve the management of flood crisis.

Development of analytical model for managing emergency preparedness and response system to nuclear power facility accident

In this work, a control model of the emergency preparedness system for nuclear and radiation accidents was synthesized, a block diagram of the control system of the emergency preparedness system for nuclear and radiation accidents was developed, and the control vector of the emergency preparedness system for nuclear and radiation accidents was determined to achieve the required performance indicator of target emergency preparedness and response activities.

Hindcast Insights from Storm Surge Forecasting of Super Typhoon Saola (2309) in Hong Kong with the Sea, Lake and Overland Surges from Hurricanes Model

Super Typhoon Saola (2309) skirted past south-southeast of Hong Kong within 40 km on the night of 1 September 2023, posing a significant storm surge threat to Hong Kong. Given the close proximity of Saola with a peak intensity of about 210 km/h within 300 km of Hong Kong, a close call of the “super typhoon direct-hit” scenario, this case provides valuable insights from a hindcast review of storm surge forecasts and warning operation using the Sea, Lake and Overland Surges from Hurricanes (SLOSH) model, which is the operational storm surge model adopted by the Hong Kong Observatory (HKO). The performance of the HKO’s PRobabilistic Inundation Map Evaluation System (PRIMES) using both statistical and model ensemble approaches was also reviewed in this paper. Saola was a challenging case for operational forecasting of a compact TC structure with changes in storm size and intensity when it came close to Hong Kong. With major observations of storm structure using weather radar and dense automatic weather station, tide gauge and water level gauge networks, the high sensitivity of storm surge forecasts to the storm size parameter and the distance of closest approach was clearly revealed in the case of Saola. Even with a circularly symmetric TC parametric model like SLOSH, the hindcast review results illustrated that the model outputs were reasonably accurate during the closest approach of Saola given an accurate storm size and distance of closest approach were input, and using a highly computationally efficient storm surge model made it possible for the nowcasting of storm surges to handle compact and intense TC direct-hit cases in operational TC forecasting. Taking a nowcasting approach not only helps provide more reliable storm tide forecasts, but also facilitates the formulation of a better warning strategy when making final-call decisions in emergency response actions, based on the more frequent real-time analysis of TC position, intensity and storm size and the more accurate prediction of these parameters. A nowcasting workflow for storm surge operation was proposed in this paper.

NACSD RECOMMENDATIONS FOR OLDER ADULT DISASTER PREPAREDNESS, RESPONSE, AND RECOVERY

Abstract This presentation shares the recommendations drafted by the National Advisory Committee on Seniors and Disasters (NACSD). This federal advisory committee provides advice and guidance to the Assistant Secretary for Preparedness and Response within the U.S. Department of Health and Human Services (HHS) and the HHS Secretary. The NACSD is comprised of seven non-federal members with expertise in geriatric disaster planning, preparedness, response, or recovery and ten federal (non-voting) members who are ex officio representatives from agencies within HHS and other Executive Branch departments. The voting members drafted recommendations intended to address the immediate and persistent challenges in public health emergency preparedness, response, and recovery affecting older adults in the United States. Numerous meetings with federal and non-federal subject matter experts from various disciplines were held to develop the recommendations. The NACSD was also tasked with evaluating issues and programs and providing findings, advice, and recommendations to the Secretary of Health and Human Services to support and enhance all-hazards public health and medical preparedness, response, and recovery activities related to meeting the unique needs of older adults and their families across the entire spectrum of their wellbeing. The NACSD evaluated and provided input concerning the medical and public health needs of older adults related to preparation for, response to, and recovery from all-hazards emergencies; and may provide advice and consultation with respect to State emergency preparedness and response activities relating to older adults.

CDC Division of Reproductive Health's Emergency Preparedness Resources and Activities for Radiation Emergencies: Public Health Considerations for Women's Reproductive Health.

Pregnant, postpartum, and lactating people, and infants have unique needs during public health emergencies, including nuclear and radiological incidents. This report provides information on the CDC Division of Reproductive Health's emergency preparedness and response activities to address the needs of women of reproductive age (aged 15-49 years), people who are pregnant, postpartum, or lactating, and infants during a radiation emergency. Highlighted preparedness activities include: (1) development of a quick reference guide to inform key questions about pregnant, postpartum, and lactating people, and infants during radiation emergencies; and (2) exercising the role of reproductive health experts during nuclear and radiological incident preparedness activities.

A green 4-dimensional multi objective transportation system for disaster relief operations under time-sequential complex fermatean framework with safety measure

In a post-disaster response operation of a severe cyclone, like Biparjoy, the transportation of humanitarian aid (HA) is the foremost activity in the aftermath of the disaster. Here, due to the ubiquity of uncertainty in such operations, we have first devised a time-sequential complex Fermatean hesitant fuzzy set (TS-CFHFS) with all-dimensional aspects such as its structure, fundamental operations, score and accuracy function. For the transportation of HA, we have developed a multi objective multi-item green 4-dimensional transportation system under the TS-CFHF configuration. In our proposed framework, the HA from both private and public sectors is transported to distribution centers (DCs). The aid was then distributed to the disaster relief shelters (DRS) established in the affected areas. We have also incorporated several significant factors that enhance its realistic portrayal, including vehicle speed, disturbance rate, and safety while transporting HAs. The first and foremost objective is to minimize transportation time (TT), for which we have incorporated the objective vehicle speed, while other objectives are transportation cost (TC), carbon emission (CE) and job opportunities (JO) in our proposed model. To obtain the optimal solution, three approaches namely fuzzy programming (FP), global criterion method (GCM) and weighted sum technique (WST) have been utilized. The proposed model has been complemented with two specific case studies based on the nature of the safety constraints by using a numerical computation along with a comparative analysis of the results obtained by three distinct approaches that may be useful to the decision-maker to make an empirical decision that would affect emergency response actions.

Achieving fine-grained urban flood perception and spatio-temporal evolution analysis based on social media

Timely understanding of affected areas during disasters is essential for the implementation of emergency response activities. As one of the low-cost and information-rich volunteer geographic information, social media data can reflect geographic events through human behavior, which is a powerful supplementary source for fine-grained flood monitoring in urban areas. However, the value of social media data has not been fully exploited as potential location and water depth information may be embedded in both text and images. In this study, we propose a novel framework for fine-grained information extraction and dynamic spatial-temporal awareness in disaster-stricken areas based on Sina Weibo. First, we construct a novel fine-grained location corpus specifically for urban flooding contexts. The corpus summarizes characteristics of address descriptions in flood-related Weibo texts, including standard address entities and spatial relationship entities, based on the named entity recognition (NER) model. Then, water depth information in texts and images is obtained based on different deep learning modules and fused at the decision level. Specifically, in text analysis module, we summarize and extract diverse descriptions of water depth, and in image analysis module, we develop a water level hierarchical mapping method. Finally, we analyze the spatio-temporal distribution characteristics and variation patterns of the extracted information to enhance situational awareness. Taking the urban flood occurred in Anhui, China as a case study, we find that the variation of flooding hotspot areas in Sina Weibo and rainfall centers show a significant spatial and temporal consistency, and the fusion of text and image-based information can facilitate dynamic perception of flood processes. The framework presented in this study provides a feasible way to implement refined situational awareness and spatio-temporal evolution analysis of urban floods at the city level in time.

Application of COVIDTracer to Inform Public Health Workforce Planning in Alaska During the COVID-19 Pandemic.

The COVID-19 pandemic has caused social and economic disruption worldwide and spurred numerous mitigation strategies, including state investments in training a large contact tracing and case investigation workforce. A team at the University of Alaska Anchorage evaluated implementation of the COVID-19 contact tracing and case investigation program of the State of Alaska Department of Health and Social Services, Division of Public Health, Section of Public Health Nursing. As part of that evaluation, the team used COVIDTracer, a spreadsheet modeling tool. COVIDTracer generated projections of COVID-19 case counts that informed estimates of workforce needs and case prioritization strategies. Case count projections approximated the reported epidemiologic curve with a median 7% difference in the first month. The accuracy of case count predictions declined after 1 month with a median difference of 80% in the second month. COVIDTracer inputs included previous case counts, the average length of time for telephone calls to cases and outreach to identified contacts, and the average number of contacts per case. As each variable increased, so too did estimated workforce needs. Decreasing the average time from exposure to outreach from 10 to 5 days reduced case counts estimated by COVIDTracer by approximately 93% during a 5-month period. COVIDTracer estimates informed Alaska's workforce planning and decisions about prioritizing case investigation during the pandemic. Lessons learned included the importance of being able to rapidly scale up and scale down workforce to adjust to a dynamic crisis and the limitations of prediction modeling (eg, that COVIDTracer was accurate for only about 1 month into the future). These findings may be useful for future pandemic preparedness planning and other public health emergency response activities.

Research on cross-organizational emergency collaboration networks based on functional modules: An example of landslide disaster incident in Shuicheng, Guizhou, China

The key to rapid and effective emergency response actions is to improve the coordination efficiency of emergency organizations when disasters occur. In order to further explore the collaborative relationship and efficiency between organizations under different emergency support functions, this contribution divides the overall emergency collaboration network, integrating government, market, and society into six modular networks (command and coordination; search and rescue; medical treatment and epidemic prevention; disaster monitoring and assessment; infrastructure and logistic support; information dissemination). Results are based on quantitative analyses of 223 organizational relationship data from government document, situational reports, and news reports. Social network analysis (clique analysis, network structure analysis, centrality analysis, and QAP analysis) is used to investigate the emergency collaboration networks of the Shuicheng landslide incident by conducting UCINET software. First, the collaboration characteristics of different organizations in the overall emergency collaboration network are studied. Second, the network structure and key coordinator differences between the overall and modular emergency collaboration networks are explored. Finally, the modular networks’ influence on the overall emergency collaboration network is investigated. The main findings are as follows: (1) Although many organizations collaborate, governments prefer intra-organizational collaboration rather than cross-organizational collaboration. (2) The key coordinators vary between the overall and modular emergency collaboration networks, with the Emergency Management Ministry as the top coordinator. (4) All modular networks significantly affect the overall emergency collaboration network. Based on the findings, further recommendations are made to develop market and social forces, strengthen trust and communication among different organizations, and promote cooperation among key coordinators. These findings can help improve the cooperation efficiency of emergency organizations and further reduce casualties.

Tracking emergency response actions during COVID-19 leads to development of an innovative public health evaluation tool

SettingEarly in the pandemic, KFL&A Public Health needed a way to capture, organize, and display COVID-19-related events to be accountable for and evaluate our actions.InterventionWe used accessible software (Microsoft Office 365 suite, Microsoft PowerBI) to develop a data collection and visualization system. The Canadian Institute for Health Information (CIHI) developed a timeline and categorization approach for provincial and national COVID-related interventions, which was used to develop a regional version for local events using similar categories. We collected and displayed qualitative data alongside epidemiological data that allowed users to display different timelines of actions and outcomes and evaluate our response.OutcomesIn developing the timeline, we took stock of the information and data we wanted to collect, sort, and display locally. Next, we collected information on response actions, case and contact tracing, and staffing changes in a database that we displayed on a timeline. We included CIHI’s data set to provide insight into pandemic response across all jurisdictions.ImplicationsOur timeline tool has many advantages for public health authorities beyond responding to a rapidly evolving emergency. By collecting information on events as they occur, decisions and actions are documented that may otherwise be overlooked. This enables decision-makers to visualize the impact of public health actions on health outcomes over time. The tool is completely customizable and scalable depending on the project scope and we plan to apply this method to other public health programming. Finally, we include lessons learned from quickly developing these tools in a real-time pandemic setting, both locally at KFL&A Public Health and nationally at CIHI.