Technical Review of Health Emergency and Disaster Risk Management Literature in Rural Asia

Chan, Emily Ying Yang; Man, Asta Yi Tao; Lam, Holly Ching Yu

doi:10.1007/978-981-15-0924-7_21

Cited by 7 publications

(15 citation statements)

References 40 publications

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“…Climate change and its associated consequences, such as changing weather patterns and increased disaster occurrences [ 18 ], have shifted the epidemiological patterns of VBDs, as well as the volume and spread of the at-risk population, thus affecting the development policies and strategies for mitigating the VBD burden on health systems. Rising temperatures and unpredictable precipitation patterns, for example, lengthen peak-biting periods and further complicate the capacity for outdoor avoidance, especially in tropical areas which are sultry throughout the year.…”

Section: Discussionmentioning

confidence: 99%

“…Rising temperatures and unpredictable precipitation patterns, for example, lengthen peak-biting periods and further complicate the capacity for outdoor avoidance, especially in tropical areas which are sultry throughout the year. The increased incidence of hydro-meteorological hazards such as floods and cyclones brings about more extreme rainfall, as well as increased humidity and water accumulation [ 18 ], and impact stagnant water management, thus possibly facilitating further larval habitat development for disease vectors [ 18 ]. Insect vectors cannot regulate their internal temperatures and are very sensitive to changes, which has caused them to invade new areas in order to adapt [ 177 ].…”

Section: Discussionmentioning

confidence: 99%

“…The WHO health-EDRM framework stresses the importance of strengthening health systems, with an increased emphasis on climate change adaptation [ 14 ], to reducing health risks associated with hazardous events, including VBD outbreaks. It is important for governing bodies to consider the associated challenges of climate change during policy formulation, with the inclusion of climate change scenarios in disaster risk assessments [ 18 ]. Considering the limitation of the predicted impact of climate change on VBD transmission, governing bodies should enhance individual capacities and community resilience in cases of sudden VBD surges [ 178 ].…”

Section: Discussionmentioning

confidence: 99%

“…The health-EDRM framework outlines a hierarchisation of health risk prevention into primary, secondary and tertiary prevention [ 14 , 18 ]. Primary prevention mitigates against the onset of disease through health promotion targeted at behavioural modification and health risk reduction.…”

Section: Introductionmentioning

confidence: 99%

“…Secondary prevention involves inhibiting disease progression through strategies such as screening and early detection. Tertiary prevention focuses on treatment and rehabilitation in order to minimise disabilities and complications [ 18 , 19 ]. Taking into consideration financial, clinical and infrastructural costs, primary prevention can effectively alleviate the burden of VBDs in a community, if necessary through measures that address a wide spectrum of VBDs, such as targeting diseases transmittable through multiple vectors [ 20 ] or focusing on vectors that are capable of transmitting multiple diseases [ 1 ].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Narrative Review on Health-EDRM Primary Prevention Measures for Vector-Borne Diseases

Chan

Sham

Shahzada

et al. 2020

IJERPH

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Climate change is expanding the global at-risk population for vector-borne diseases (VBDs). The World Health Organization (WHO) health emergency and disaster risk management (health-EDRM) framework emphasises the importance of primary prevention of biological hazards and its value in protecting against VBDs. The framework encourages stakeholder coordination and information sharing, though there is still a need to reinforce prevention and recovery within disaster management. This keyword-search based narrative literature review searched databases PubMed, Google Scholar, Embase and Medline between January 2000 and May 2020, and identified 134 publications. In total, 10 health-EDRM primary prevention measures are summarised at three levels (personal, environmental and household). Enabling factor, limiting factors, co-benefits and strength of evidence were identified. Current studies on primary prevention measures for VBDs focus on health risk-reduction, with minimal evaluation of actual disease reduction. Although prevention against mosquito-borne diseases, notably malaria, has been well-studied, research on other vectors and VBDs remains limited. Other gaps included the limited evidence pertaining to prevention in resource-poor settings and the efficacy of alternatives, discrepancies amongst agencies’ recommendations, and limited studies on the impact of technological advancements and habitat change on VBD prevalence. Health-EDRM primary prevention measures for VBDs require high-priority research to facilitate multifaceted, multi-sectoral, coordinated responses that will enable effective risk mitigation.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Narrative Review on Health-EDRM Primary Prevention Measures for Vector-Borne Diseases

Chan

Sham

Shahzada

et al. 2020

IJERPH

View full text Add to dashboard Cite

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A nomogram to predict the risk of cognitive impairment in patients with depressive disorder

Jian,

Jia,

Shi

et al. 2023

Research in Nursing & Health

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This study was to describe the cognitive function status in patients with depressive disorder and to construct a nomogram model to predict the risk factors of cognitive impairment in these patients. From October 2019 to February 2021, a total of 141 patients with depressive disorder completed the survey in two hospitals. The Montreal cognitive assessment (MoCA) was used with a cutoff score of 26 to differentiate cognitive impairment. Univariable and multivariable logistic regression analyses were conducted to identify independent risk factors. A nomogram was then constructed based on the results of the multivariable logistic regression analysis. The patients had an average MoCA score of 23.99 ± 3.02. The multivariable logistic regression analysis revealed that age (OR: 1.096, 95% CI: 1.042–1.153, p < 0.001), education (OR: 0.065, 95% CI: 0.016–0.263, p < 0.001), depression severity (OR: 1.878, 95% CI: 1.021–3.456, p = 0.043), and sleep quality (OR: 2.454, 95% CI: 1.400–4.301, p = 0.002) were independent risk factors for cognitive impairment in patients with depressive disorder. The area under receiver operating characteristic (ROC) curves was 0.868 (95% CI: 0.807–0.929), indicating good discriminability of the model. The calibration curve of the model and the Hosmer–Lemeshow test (p = 0.571) demonstrated a well‐fitted model with high calibration. Age, education, depression severity, and sleep quality were found to be significant predictors of cognitive function. A nomogram model was developed to predict cognitive impairment in patients with depressive disorder, providing a solid foundation for clinical interventions.

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Narrative review of non-pharmaceutical behavioural measures for the prevention of COVID-19 (SARS-CoV-2) based on the Health-EDRM framework

Chan

Shahzada

Sham

et al. 2020

British Medical Bulletin

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Introduction Non-pharmaceutical measures to facilitate a response to the COVID-19 pandemic, a disease caused by novel coronavirus SARS-CoV-2, are urgently needed. Using the World Health Organization (WHO) health emergency and disaster risk management (health-EDRM) framework, behavioural measures for droplet-borne communicable diseases and their enabling and limiting factors at various implementation levels were evaluated. Sources of data Keyword search was conducted in PubMed, Google Scholar, Embase, Medline, Science Direct, WHO and CDC online publication databases. Using the Oxford Centre for Evidence-Based Medicine review criteria, 10 bottom-up, non-pharmaceutical prevention measures from 104 English-language articles, which published between January 2000 and May 2020, were identified and examined. Areas of agreement Evidence-guided behavioural measures against transmission of COVID-19 in global at-risk communities were identified, including regular handwashing, wearing face masks and avoiding crowds and gatherings. Areas of concern Strong evidence-based systematic behavioural studies for COVID-19 prevention are lacking. Growing points Very limited research publications are available for non-pharmaceutical measures to facilitate pandemic response. Areas timely for research Research with strong implementation feasibility that targets resource-poor settings with low baseline health-EDRM capacity is urgently needed.

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Technical Review of Health Emergency and Disaster Risk Management Literature in Rural Asia

Cited by 7 publications

References 40 publications

Narrative Review on Health-EDRM Primary Prevention Measures for Vector-Borne Diseases

Narrative Review on Health-EDRM Primary Prevention Measures for Vector-Borne Diseases

A nomogram to predict the risk of cognitive impairment in patients with depressive disorder

Narrative review of non-pharmaceutical behavioural measures for the prevention of COVID-19 (SARS-CoV-2) based on the Health-EDRM framework

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