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Capella University

NURS-FPX6020 Advanced Nursing Practice 1: Biopsychosocial Concepts

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Risk Assessment

Among the most common natural disasters, floods threaten public health with widespread contamination and infectious disease risk (Acosta-España et al., 2024). This paper examines the challenge of controlling infections after a flood disaster in Tall Oaks, Pennsylvania, and containment during the disaster management process to prevent a disease outbreak. It will use a structured decision model to identify potential health concerns, assess the epidemiological data and community-specific needs, and outline the best strategies to communicate with the community to reduce the infection burden.

Disaster Scenario: Flood in Tall Oaks, Pennsylvania

Tall Oaks, Pennsylvania, suffered a local disaster of a significant flood from prolonged rains, causing river overflow for almost two weeks (Borrasso, 2025). Flooding caused damage to homes and roads as well as to the utility infrastructure, leaving thousands of residents without homes and reliant on temporary and inadequate shelters. The impacted population included children and the elderly, as well as individuals with chronic illnesses who are more vulnerable to health impacts. Insufficient clean water, disrupted sewage, and limited access to healthcare created critical challenges for controlling infections. The combination of overcrowded shelters and contact with stagnant water created the risk for the outbreak of infectious water and respiratory diseases, including E. coli, cholera, and influenza. Primary community health interventions for the flood-affected population focused on the provision of clean water and sanitation, and controlling the spread of illness.

Decision-Making Approach to Assess Potential Health Problems and Needs

The Nursing Process Model was adopted for the assessment of the health and infection control needs in the aftermath of the flood in Tall Oaks, Pennsylvania. This model has a solid evidence base and guides nurses in dealing with complexity through five distinct steps of assessment, diagnosis, planning, implementation, and evaluation. The focus of the evaluation step was the review of local health department records, CDC infection reports related to flooding, and statistics on the shelter population to identify the major health risks (Walton et al., 2021). During the diagnosis step, the primary risks were deemed to be the development of waterborne illnesses, respiratory illnesses due to exposure to mold, and skin illnesses as a result of exposure to contaminated flood water. The planning step was focused on the allocation of resources to manage the highest risk groups of the aged population, children, and individuals with chronic illnesses.

Both interprofessional collaboration and professional judgment were pivotal to the application of this approach. The joint effort by nurses, public health, and environmental professionals enabled the analysis of water quality data, assessment of the state of the shelters, and development of the infection control measures. Phases of implementation were almost the same as the delivery of hygiene kits, implementation of vaccination campaigns, and establishment of triage procedures in Tall Oaks flood shelters. Finally, the infection control measures were flexible to adapt to community feedback and new epidemiological data, while infection rates were monitored continuously. This approach to decision-making allowed the early identification of infection control health needs, evidence-based infection control measures, and coordination of stakeholders involved in infection control.

Distinction of the Model from Other Models

In the nursing process model, the focus is on flexibility of control and evaluation of infection risks, particularly in disaster situations (Firouzkouhi et al., 2021). Unlike the nursing process model, the ethical decision-making model focuses on moral reasoning, while the root cause analysis model is based on providing solutions to existing problems (Oh et al., 2022). Given the dynamic nature of the Tall Oaks flood, the nursing process model is appropriate, as its cyclical nature highlights the need to continuously assess and modify infection control plans in the face of new challenges.

Personalized Information to Identify Healthcare Risks

The residents of Tall Oaks flood were assessed for health risks based on their age, social class, and existing health conditions. As for the elderly residents, exposure combined with their decreased immunity and limited mobility (therefore, reduced access to sanitation) increased their risk for skin and respiratory infections. Water became a medium for the transfer of infectious agents, which exposed children to enteric infections, and chronic illness suffered due to the disruption of regular health care services and increased exposure to infection (Birhan et al., 2023). Low-income families, which are the most flood-prone, had restricted access to health care and insufficient means to practice infection control.

The community’s vulnerability dictated the environmental and social aspects of health. In the long term, poor sanitation, stagnant water, and mold contamination can lead to the spread of infectious disease. Overcrowded homes of the most impoverished members of the community can lead to the spread of airborne infections such as the flu. The lack of poor public health services, combined with the lack of transport and poor communication, constrains the community’s ability to obtain the health services that they need. The demographic and environmental disparities outlined the need for greater balance in the infection control services.

Ease of Potential Uncertainty or Bias

The assessment of infection control risk in the Tall Oaks flood situation introduces many vulnerabilities and biases. Regarding the estimation of infection risks, the absence of real-time data, the limited number of impacted shelters, and a reliance on secondary data are some of the factors that compromise the infection risk assessment (Cumbane & Gidófalvi, 2021). Additionally, the absence of direct engagement with the community could lead to the underreporting of at-risk populations, including undocumented persons and those with inadequate access to the healthcare system. In order to minimize these biases, data were triangulated against multiple sources, with preference to CDC and state health reports, and professional judgment was applied, given the local health service provision. The emphasis was placed on continuous feedback and adjustment to improve the assessment.

Integrating Epidemiological and System-Level Aggregate Data

A recent study of the contiguous United States reported that flooding impacted more than 99.6% of the population between 2000 and 2020 (Chu et al., 2025). In that study, very severe heavy rain-related floods caused a 3.2% increase (95% Credible Interval: 0.1%–6.2%) in deaths caused by infectious and parasitic diseases during the month of the flooding, and a 4.7% increase (95% CrI: 2.4%–7.1%) in the following month (Lynch et al., 2025). From a systems-level perspective, the CDC’s Environmental Public Health Tracking Program offers county-level data on flooding and extreme-weather-related precipitation, exposure vulnerabilities, and demographics, allowing public health practitioners to estimate flood hazard areas, the population within 100-year flood plain areas, and the intersection of environmental exposure with population vulnerability (CDC, 2024).

Epidemiological and system-level data from the Pennsylvania Department of Health (DOH) and FEMA helped understand the infection trends associated with the Tall Oaks flood. Previous studies indicate that infections resulting from water contaminated with E. coli and leptospirosis are exacerbated by flooding. Stagnant water promotes the breeding of mosquitoes and the spread of the West Nile virus. Flood-induced respiratory infections are common in temporary shelters because of poor ventilation and sanitation. This information helped determine the focus of response actions and the order of medical supply prioritization, which included providing additional sanitation, vaccines, and surveillance for outbreaks, as well as providing targeted aid and interventions to the most vulnerable populations, based on the analysis of national and local data.

Relevance of the Data

With regard to public health, the CDC, the Pennsylvania Department of Health, and FEMA are critical regional agencies that provide recent data based on credible field research. As cited by Ho et al. (2022), these agencies are reliable sources because they consistently monitor health-related impacts, environmental hazards, and other variations associated with the post-disaster setting and communicable diseases. Based on these variables, the data help answer the needs of public health practitioners by helping identify priority health threats to aid health responders in determining pertinent and practical health interventions to control the spread of diseases and manage resources effectively. In regard to the aforementioned needs, the infection control plan for Tall Oaks is based on the public health needs of the community.

Communicating Effectively with Community Individuals

Communication is vital during the Tall Oaks flood recovery because it mitigates the risk of infection and promotes overall safety among the population. Messages with cultural sensitivity have been clearly articulated to help different target groups based on their literacy and language skills. To help simplify the infection prevention process, nurses and public health workers collaborated in the use of visual and written aids. (Barrett & Dantas, 2025). Several methods of communication were employed to ensure broad coverage, including local radio stations, social media, community meetings, and printed materials. Trustworthy community members and faith leaders provided accurate information in an effort to instill confidence in the community and support positive hand washing practices, safe water use, and timely vaccination.

Importance of Communication Needs: Examples

Research done in communities where floods occur shows that reliable and frequent communication reduces the incidence of disease and increases the level of trust. For example, during past flooding in Pennsylvania, local health teams reduced infection rates in shelters by using radio and social media to communicate hygiene and vaccination information. Health workers also conducted community meetings and employed door-to-door methods to change unsafe practices and answer questions. Barrett & Dantas (2025). These examples show that the barriers are reduced and the level of flexibility and sensitivity of the communication is increased, the residents are more likely to follow infection control and prevention practices. This improves community resilience and the health of the individuals in the community.

Conclusion

The goal of disaster management is to establish the timely, evidence-based, and person-centered practices that are highlighted by the risk assessment of infection control following the flooding of Tall Oaks. The application of the Nursing Process Model provided the appropriate structure to identify and assess the health risks and to target the most vulnerable groups for the implementation of the best possible practices. A combination of the health needs of the community and the responses and participation of the community to effective culturally competent communication provided the best possible practices for the prevention of the spread of disease.