scholarly journals Characteristics and Outcomes of a Sample of Patients With COVID-19 Identified Through Social Media in Wuhan, China: Observational Study (Preprint)

2020 ◽  
Author(s):  
Dong Liu ◽  
Yuyan Wang ◽  
Juan Wang ◽  
Jue Liu ◽  
Yongjie Yue ◽  
...  
Keyword(s):  
Risk Factors ◽  
Social Media ◽  
Odds Ratio ◽  
Relevant Information ◽  
Older Age ◽  
Aggregated Data ◽  
Admission Rates ◽  
The Impact ◽  
Diffuse Distribution

BACKGROUND The number of deaths worldwide caused by coronavirus disease (COVID-19) is increasing rapidly. Information about the clinical characteristics of patients with COVID-19 who were not admitted to hospital is limited. Some risk factors of mortality associated with COVID-19 are controversial (eg, smoking). Moreover, the impact of city closure on mortality and admission rates is unknown. OBJECTIVE The aim of this study was to explore the risk factors of mortality associated with COVID-19 infection among a sample of patients in Wuhan whose conditions were reported on social media. METHODS We enrolled 599 patients with COVID-19 from 67 hospitals in Wuhan in the study; 117 of the participants (19.5%) were not admitted to hospital. The demographic, epidemiological, clinical, and radiological features of the patients were extracted from their social media posts and coded. Telephone follow-up was conducted 1 month later (between March 15 and 23, 2020) to check the clinical outcomes of the patients and acquire other relevant information. RESULTS The median age of patients with COVID-19 who died (72 years, IQR 66.5-82.0) was significantly higher than that of patients who recovered (61 years, IQR 53-69, <i>P</i>&lt;.001). We found that lack of admission to hospital (odds ratio [OR] 5.82, 95% CI 3.36-10.1; <i>P</i>&lt;.001), older age (OR 1.08, 95% CI 1.06-1.1; <i>P</i>&lt;.001), diffuse distribution (OR 11.09, 95% CI 0.93-132.9; <i>P</i>=.058), and hypoxemia (odds ratio 2.94, 95% CI 1.32-6.6; <i>P</i>=.009) were associated with increasing odds of death. Smoking was not significantly associated with mortality risk (OR 0.9, 95% CI 0.44-1.85; <i>P</i>=.78). CONCLUSIONS Older age, diffuse distribution, and hypoxemia are factors that can help clinicians identify patients with COVID-19 who have poor prognosis. Our study suggests that aggregated data from social media can also be comprehensive, immediate, and informative in disease prognosis.

scholarly journals Prevalence, risk factors, and impact of lung cancer on outcomes of idiopathic pulmonary fibrosis: a study from the Middle East

2018 ◽  
Vol 13 ◽  
Author(s):  
Sherif Mohamed ◽  
Hassan Bayoumi ◽  
Nashwa Abd El-Aziz ◽  
Ehab Mousa ◽  
Yasser Gamal
Keyword(s):  
Risk Factors ◽  
Lung Cancer ◽  
Idiopathic Pulmonary Fibrosis ◽  
Pulmonary Fibrosis ◽  
Odds Ratio ◽  
Independent Predictor ◽  
Significant Independent Predictor ◽  
Upper Egypt ◽  
The Impact

Background: No studies have addressed the impact of lung cancer (LC) on prognosis of patients with idiopathic pulmonary fibrosis (IPF) in Upper Egypt. We aimed to evaluate the prevalence and risk factors for LC among IPF patients and its impact on their outcomes and survival in Upper Egypt. Methods: A total of 246 patients with IPF who had complete clinical and follow up data were reviewed. They were categorized into 2 groups: 34 patients with biopsy-proven LC and IPF (LC-IPF) and 212 patients with IPF only (IPF). Survival and clinical characteristics of the two groups were compared. Results: Prevalence of LC was 13.8%. Pack/years was the most significant predictor for LC development in IPF (Odds ratio; 3.225, CI 1.257–1.669, p = 0.001). Survival in patients with LC-IPF was significantly worse than in patients with IPF without LC; median survival, 35 months vs 55 months; p = 0.000. LC accompanying IPF was one of the most significant independent predictors of survival in IPF patients (Hazard ratio 5.431, CI 2.186–13.492, p = 0.000). Mortality in LC-IPF patients was mainly due to LC progression in 36% and LC therapy-related complications in 22%. Conclusions: Prevalence of LC in IPF patients was 13.8%. Lung cancer has significant impacts on patients with IPF in Upper Egypt, in terms of clinical outcomes and survival. Smoking is the most significant independent predictor of LC development in IPF patients. A poorer survival was observed for patients with IPF developing LC, mainly due to LC progression, and to complications of its therapies. Further prospective, multicenter and larger studies are warranted.

scholarly journals Post-reversible cerebral vasoconstriction syndrome headache

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Yu-Hsiang Ling ◽  
Yen-Feng Wang ◽  
Jiing-Feng Lirng ◽  
Jong-Ling Fuh ◽  
Shuu-Jiun Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Odds Ratio ◽  
Disease Onset ◽  
Depression Scale ◽  
Anxiety Level ◽  
Reversible Cerebral Vasoconstriction Syndrome ◽  
Cerebral Vasoconstriction ◽  
History Of ◽  
The Impact

Abstract Background Chronic headache may persist after the remission of reversible cerebral vasoconstriction syndrome (RCVS) in some patients. We aimed to investigate the prevalence, characteristics, risk factors, and the impact of post-RCVS headache. Methods We prospectively recruited patients with RCVS and collected their baseline demographics, including psychological distress measured by Hospital Anxiety and Depression scale. We evaluated whether the patients developed post-RCVS headache 3 months after RCVS onset. The manifestations of post-RCVS headache and headache-related disability measured by Migraine Disability Assessment (MIDAS) scores were recorded. Results From 2017 to 2019, 134 patients with RCVS were recruited, of whom, 123 finished follow-up interviews (response rate 91.8%). Sixty (48.8%) patients had post-RCVS headache. Migrainous features were common in post-RCVS headache. Post-RCVS headache caused moderate-to-severe headache-related disability (MIDAS score > 10) in seven (11.7%) patients. Higher anxiety level (odds ratio 1.21, p = 0.009) and a history of migraine (odds ratio 2.59, p = 0.049) are associated with post-RCVS headache. Survival analysis estimated that 50% post-RCVS headache would recover in 389 days (95% confidence interval: 198.5–579) after disease onset. Conclusions Post-RCVS headache is common, affecting half of patients and being disabling in one-tenth. Higher anxiety level and migraine history are risk factors. Half of the patients with post-RCVS headache would recover in about a year.

scholarly journals Impact of risk factors associated with cardiovascular outcomes in patients with rheumatoid arthritis

2017 ◽  
Vol 77 (1) ◽  
pp. 48-54 ◽  
Author(s):  
Cynthia S Crowson ◽  
Silvia Rollefstad ◽  
Eirik Ikdahl ◽  
George D Kitas ◽  
Piet L C M van Riel ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Risk Factors ◽  
Total Cholesterol ◽  
Smoking Prevalence ◽  
Disease Activity Score ◽  
Population Attributable Risk ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
The Impact

ObjectivesPatients with rheumatoid arthritis (RA) have an excess risk of cardiovascular disease (CVD). We aimed to assess the impact of CVD risk factors, including potential sex differences, and RA-specific variables on CVD outcome in a large, international cohort of patients with RA.MethodsIn 13 rheumatology centres, data on CVD risk factors and RA characteristics were collected at baseline. CVD outcomes (myocardial infarction, angina, revascularisation, stroke, peripheral vascular disease and CVD death) were collected using standardised definitions.Results5638 patients with RA and no prior CVD were included (mean age: 55.3 (SD: 14.0) years, 76% women). During mean follow-up of 5.8 (SD: 4.4) years, 148 men and 241 women developed a CVD event (10-year cumulative incidence 20.9% and 11.1%, respectively). Men had a higher burden of CVD risk factors, including increased blood pressure, higher total cholesterol and smoking prevalence than women (all p<0.001). Among the traditional CVD risk factors, smoking and hypertension had the highest population attributable risk (PAR) overall and among both sexes, followed by total cholesterol. The PAR for Disease Activity Score and for seropositivity were comparable in magnitude to the PAR for lipids. A total of 70% of CVD events were attributable to all CVD risk factors and RA characteristics combined (separately 49% CVD risk factors and 30% RA characteristics).ConclusionsIn a large, international cohort of patients with RA, 30% of CVD events were attributable to RA characteristics. This finding indicates that RA characteristics play an important role in efforts to reduce CVD risk among patients with RA.

scholarly journals Characteristics and Outcomes of COVID-19 Patients with Mature B-Cell Non-Hodgkin Lymphomas (mB-Cell NHL): A US Nationwide Electronic Health Record (EHR) Database Study

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 2418-2418
Author(s):  
Xiaomeng Yue ◽  
David Hallett ◽  
Yangyang Liu ◽  
Reethi Iyengar ◽  
Elisa Basa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
B Cell ◽  
Clinical Characteristics ◽  
Index Date ◽  
B Cell Lymphoma ◽  
Male Gender ◽  
Older Age ◽  
Multivariable Logistic Regression ◽  
The Impact

Abstract Introduction COVID-19 poses a serious concern for mB-cell NHL patients given their advanced age, high burden of comorbidities, and immune dysfunction. Limited by smaller sample sizes during the early period of the COVID-19 pandemic, previous studies were unable to thoroughly evaluate the impact of COVID-19 on patients with mB-cell NHL 1,2. We aim to describe demographics and clinical characteristics, outcomes, and risk factors associated with death and other severe outcomes among COVID-19 patients with mB-cell NHL in a large US nationwide database. Methods This retrospective cohort study was conducted using the Optum EHR database, comprising data from an integrated network of ambulatory and hospital care providers across the US. Patients with COVID-19 (diagnosis code of U07.1, U07.2, or a positive result of SARS-Cov-2 virus PCR or antigen tests) between Feb. 1, 2020 and Jan 7, 2021 (index date) and mB-cell NHL diagnosis prior to the COVID-19 diagnosis were included. Patients were excluded if they were under 18 years of age, had missing age or sex, or had &lt;1year continuous eligibility prior to their index date (pre-index period). All baseline characteristics, including demographics and comorbidities, were determined during the one-year pre-index period. Severe outcomes, including death, hospitalization, ICU admission, and acute respiratory insufficiency (ARI), were evaluated within 30 days post-index date. Multivariable logistic regression was conducted to identify variables independently associated with severe outcomes. Results Among 2,767 patients with mB-cell NHL who were infected with SARS-CoV-2 between Feb. 1, 2020 and Jan. 7, 2021 (mean age±SD: 67.9 years±14.7, 53.9% male), majority were white (73.9%), followed by African American (10.9%), Hispanic (6.9%), and Asian (1.2%). The most common subtypes of mB-cell NHL were chronic lymphocytic leukemia/small lymphocytic lymphoma (26.9%), multiple myeloma (22.4%), diffuse large B-cell lymphoma (13.2%), and follicular lymphoma (7.3%). Of these patients, 93.4% have at least one comorbidity. The most common comorbidities were hypertension (58.5%), neurological disease (49.4%), diabetes (28.2%), ischemic heart disease (25.5%), cardiac arrhythmia/conduction disorders (24.4%), chronic kidney disease (CKD, 19.2%), heart failure/cardiomyopathy (18.1%), and COPD (12.3%). Overall, 960 patients (34.7%) developed severe outcomes, among which, 847 patients (30.6%) were hospitalized, 214 patients (7.7%) were admitted to the ICU, 201 patients (7.3%) experienced ARI, and 220 patients (8.0%) died. Multivariable logistic regression showed that increased odds of severe outcomes were independently associated with older age (85+ years vs. &lt;65 years; adjusted odds ratio [OR], 2.0; 95% CI, 1.4-2.7), male gender (OR, 1.4; 95% CI, 1.1-1.6), insurance coverage with Medicaid (OR, 1.8; 95% CI, 1.1-2.9) and/or Medicare (vs. commercial only; OR, 1.9; 95% CI, 1.5-2.5), infected during the first quarter (OR, 5.6; 95% CI, 3.4-9.4) or second quarter of 2020 (vs. fourth quarter of 2020; OR, 1.7; 95% CI, 1.4-2.1), having CKD (OR, 1.3; 95% CI, 1.0-1.6), COPD (OR, 1.4; 95% CI, 1.0-1.8), diabetes (OR, 1.3; 95% CI, 1.1-1.6), and receiving active treatment for NHL (OR, 1.4; 95% CI, 1.0-2.0) within 30 days prior to COVID-19 diagnosis (Figure). Conclusions This study demonstrated key demographic and clinical characteristics associated with severe outcomes among COVID-19 patients with mB-cell NHL using one of the largest nationwide databases. Risk factors for severe outcomes identified in the general population, such as older age, male gender, and having certain underlying medical conditions were also identified in this study. In addition, COVID-19 infection occurring earlier in the pandemic and receiving active NHL treatments were associated with severe outcomes. These latter two observations might reflect the improvement in patient management during the latter period of the pandemic and that active mB-cell NHL disease and treatment rendered an increased risk of severe outcomes in COVID-19 patients with mB-cell NHL. These insights highlight the importance of utilizing demographic, clinical and treatment information to estimate the risk for severe outcomes, whereas prospective studies focusing on optimal COVID-19 management are required to identify specific actions that can be taken to improve outcomes of COVID-19 in patients with mB-cell NHL. Figure 1 Figure 1. Disclosures Yue: Joule: Current Employment. Hallett: AbbVie: Current Employment. Liu: AbbVie: Current Employment. Iyengar: AbbVie: Current Employment. Basa: AbbVie: Current Employment. Yang: AbbVie: Current Employment.

scholarly journals Risk factors for and outcomes of postoperative complications in adult patients with moyamoya disease

2019 ◽  
Vol 130 (2) ◽  
pp. 531-542 ◽  
Author(s):  
Meng Zhao ◽  
Xiaofeng Deng ◽  
Dong Zhang ◽  
Shuo Wang ◽  
Yan Zhang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Postoperative Complications ◽  
Moyamoya Disease ◽  
Functional Disability ◽  
Neurological Status ◽  
Complication Rates ◽  
Modified Rankin Scale ◽  
Cerebral Hyperperfusion ◽  
The Impact

OBJECTIVEThe risk factors and clinical significance of postoperative complications in moyamoya disease are still unclear. The aim of this study was to investigate the predictors of postoperative complications in moyamoya disease and examine the impact of complications on outcomes.METHODSThe authors reviewed consecutive cases involving adult moyamoya disease patients who underwent indirect, direct, or combined bypass surgery in their hospital between 2009 and 2015. Preoperative clinical characteristics and radiographic features were recorded. Postoperative complications within 14 days after surgery were examined. Multivariate logistic regression analyses were performed to identify the risk factors for either postoperative ischemia or postoperative cerebral hyperperfusion. Outcome data, including recurrent strokes and neurological status (modified Rankin Scale [mRS]) during follow-up, were collected. Outcomes were compared between patients who had complications with those without complications, using propensity-score analysis to account for between-group differences in baseline characteristics.RESULTSA total of 500 patients (610 hemispheres) were included in this study. Postoperative complications were observed in 74 operations (12.1%), including new postoperative ischemia in 30 cases (4.9%), hyperperfusion in 27 (4.4%), impaired wound healing in 12 (2.0%), and subdural effusion in 6 (1.0%). The complication rates for different surgery types were as follows: 12.6% (n = 25) for indirect bypass, 12.7% (n = 37) for direct bypass, and 10.0% (n = 12) for combined bypass (p = 0.726). Postoperative ischemic complications occurred in 30 hemispheres (4.9%) in 30 different patients, and postoperative symptomatic hyperperfusion occurred after 27 procedures (4.4%). Advanced Suzuki stage (OR 1.669, 95% CI 1.059–2.632, p = 0.027) and preoperative ischemic presentation (OR 5.845, 95% CI 1.654–20.653, p = 0.006) were significantly associated with postoperative ischemia. Preoperative ischemic presentation (OR 5.73, 95% CI 1.27–25.88, p = 0.023) and admission modified Rankin Scale (mRS) score (OR 1.81, 95% CI 1.06–3.10, p = 0.031) were significantly associated with symptomatic postoperative cerebral hyperperfusion syndrome (CHS). Compared with patients without postoperative complications, patients who experienced any postoperative complications had longer hospital stays and worse mRS scores at discharge (both p < 0.0001). At the final follow-up, no significant differences in functional disability (mRS score 3–6, 11.9% vs 4.5%, p = 0.116) and future stroke events (p = 0.513) between the 2 groups were detected.CONCLUSIONSAdvanced Suzuki stage and preoperative ischemic presentation were independent risk factors for postoperative ischemia; the mRS score on admission and preoperative ischemic presentation were independently associated with postoperative CHS. Although patients with postoperative complications had worse neurological status at discharge, postoperative complications had no associations with future stroke events or functional disability during follow-up.

Abstract 141: Impact of an Aggressive Medical Management Protocol on Early Risk Factor Measures in the Stenting and Aggressive Medical Management for Preventing Recurrent stroke in Intracranial Stenosis (SAMMPRIS) Trial

Stroke ◽  
2012 ◽  
Vol 43 (suppl_1) ◽  
Author(s):  
Tanya N Turan ◽  
Azhar Nizam ◽  
Michael J Lynn ◽  
Colin P Derdeyn ◽  
David Fiorella ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Medical Management ◽  
Intracranial Stenosis ◽  
Patient Specific ◽  
Early Risk ◽  
Aggressive Medical Management ◽  
The Impact ◽  
Early Risk Factor

Purpose: SAMMPRIS is the first stroke prevention trial to include protocol-driven aggressive management of multiple vascular risk factors. We sought to determine the impact of this protocol on early risk factor control in the trial. Materials and Methods: SAMMPRIS randomized 451 patients with symptomatic 70%-99% intracranial stenosis to aggressive medical management or stenting plus aggressive medical management at 50 USA sites. For the primary risk factor targets (SBP < 140 mm/Hg (<130 if diabetic) and LDL < 70 mg/dL), the study neurologists follow medication titration algorithms and risk factor medications are provided to the patients. Secondary risk factors (diabetes, non-HDL, weight, exercise, and smoking cessation) are managed with assistance from the patient’s primary care physician and a lifestyle modification program (provided). Sites receive patient-specific recommendations and feedback to improve performance. Follow-up continues, but the 30-day data are final. We compared baseline to 30-day risk factor measures using paired t-tests for means and McNemar tests for percentages. Results: The differences in risk factor measures between baseline and 30 days are shown in Table 1. Conclusions: The SAMMPRIS protocol resulted in major improvements in controlling most risk factors within 30 days of enrollment, which may have contributed to the lower than expected 30 day stroke rate in the medical group (5.8%). However, the durability of this approach over time will be determined by additional follow-up.

Abstract 183: Depressive Symptoms and Incident Stroke in Black and White Participants in the REGARDS Study

Stroke ◽  
2012 ◽  
Vol 43 (suppl_1) ◽  
Author(s):  
Audrey L Austin ◽  
Michael G Crowe ◽  
Martha R Crowther ◽  
Virginia J Howard ◽  
Abraham J Letter ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Depressive Symptoms ◽  
Racial Differences ◽  
Stroke Risk ◽  
Depression Scale ◽  
Stroke Incidence ◽  
Blacks And Whites ◽  
The Impact

Background and Purpose: Research suggests that depression may contribute to stroke risk independent of other known risk factors. Most studies examining the impact of depression on stroke have been conducted with predominantly white cohorts, though blacks are known to have higher stroke incidence than whites. The purpose of this study was to examine depressive symptoms as a risk factor for incident stroke in blacks and whites, and determine whether depressive symptomatology was differentially predictive of stroke among blacks and whites. Methods: The REasons for Geographic and Racial Differences in Stroke (REGARDS), is a national, population-based longitudinal study designed to examine risk factors associated with black-white and regional disparities in stroke incidence. Among 30,239 participants (42% black) accrued from 2003-2007, excluding those lacking follow-up or data on depressive symptoms, 27,557 were stroke-free at baseline. As of the January 2011 data closure, over an average follow-up of 4.6 years, 548 incident stroke cases were verified by study physicians based on medical records review. The association between baseline depressive symptoms (assessed via the Center for Epidemiological Studies Depression scale, 4-item version) and incident stroke was analyzed with Cox proportional hazards models adjusted for demographic factors (age, race, and sex), stroke risk factors (hypertension, diabetes, smoking, atrial fibrillation, and history of heart disease), and social factors (education, income, and social network). Results: For the total sample, depressive symptoms were predictive of incident stroke. The association between depressive symptoms and stroke did not differ significantly based on race (Wald X 2 = 2.38, p = .1229). However, race-stratified analyses indicated that the association between depressive symptoms and stroke was stronger among whites and non-significant among blacks. Conclusions: Depressive symptoms were an independent risk factor for incident stroke among a national sample of blacks and whites. These findings suggest that assessment of depressive symptoms may warrant inclusion in stroke risk scales. The potential for a stronger association in whites than blacks requires further study.

scholarly journals Physical Health, Media Use, and Mental Health in Children and Adolescents With ADHD During the COVID-19 Pandemic in Australia

2020 ◽  
pp. 108705472097854
Author(s):  
Emma Sciberras ◽  
Pooja Patel ◽  
Mark A. Stokes ◽  
David Coghill ◽  
Christel M. Middeldorp ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Attention Deficit Hyperactivity Disorder ◽  
Depressed Mood ◽  
Attention Deficit ◽  
Odds Ratio ◽  
Family Time ◽  
Children With Adhd ◽  
Hyperactivity Disorder ◽  
The Impact

Objective: To examine the impact of COVID-19 restrictions among children with attention-deficit/hyperactivity disorder (ADHD). Methods: Parents of 213 Australian children (5–17 years) with ADHD completed a survey in May 2020 when COVID-19 restrictions were in place (i.e., requiring citizens to stay at home except for essential reasons). Results: Compared to pre-pandemic, children had less exercise (Odds Ratio (OR) = 0.4; 95% CI 0.3–0.6), less outdoor time (OR = 0.4; 95% 0.3–0.6), and less enjoyment in activities (OR = 6.5; 95% CI 4.0–10.4), while television (OR = 4.0; 95% CI 2.5–6.5), social media (OR = 2.4; 95% CI 1.3–4.5), gaming (OR = 2.0; 95% CI 1.3–3.0), sad/depressed mood (OR = 1.8; 95% CI 1.2–2.8), and loneliness (OR = 3.6; 95% CI 2.3–5.5) were increased. Child stress about COVID-19 restrictions was associated with poorer functioning across most domains. Most parents (64%) reported positive changes for their child including more family time. Conclusions: COVID-19 restrictions were associated with both negative and positive impacts among children with ADHD.

Second Primary Melanoma: Risk Factors, Histopathologic Features, Survival, and Implications for Follow-Up

2016 ◽  
Vol 82 (10) ◽  
pp. 1009-1013 ◽  
Author(s):  
Maris S. Jones ◽  
Hitoe Torisu-Itakura ◽  
Devin C. Flaherty ◽  
Hans F. Schoellhammer ◽  
Jihey Lee ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Cutaneous Melanoma ◽  
Primary Melanoma ◽  
Second Primary ◽  
Melanoma Risk ◽  
Impact On Survival ◽  
The Impact ◽  
Histopathologic Features

The impact on survival of a second primary melanoma (SPM) is unclear. We used our melanoma center's database to examine clinicopathologic risk factors and outcomes of stage 0 to IV cutaneous melanoma in patients with one versus two primaries. Among 12,325 patients with primary melanoma, 969 (7.86%) developed SPM. SPMs were significantly thinner than autologous primary melanomas ( P = 0.01), and 451 SPM patients had better overall and melanoma-specific survival than 451 prognostically matched non-SPM patients ( P < 0.0001 and 0.0001, respectively) at a median follow-up of 142.37 months. Patients with cutaneous melanoma are at high risk for development of SPM, but the development of SPM does not seem to impair survival.

scholarly journals Rapid Multi-Dimensional Impact Assessment of Floods

2020 ◽  
Vol 12 (10) ◽  
pp. 4246 ◽  
Author(s):  
David Pastor-Escuredo ◽  
Yolanda Torres ◽  
María Martínez-Torres ◽  
Pedro J. Zufiria
Keyword(s):  
Social Media ◽  
Impact Assessment ◽  
Rural Areas ◽  
Disaster Response ◽  
Heterogeneous Data ◽  
Data Driven ◽  
Sensor Data ◽  
Mobile Phone Data ◽  
Aggregated Data ◽  
The Impact

Natural disasters affect hundreds of millions of people worldwide every year. The impact assessment of a disaster is key to improve the response and mitigate how a natural hazard turns into a social disaster. An actionable quantification of impact must be integratively multi-dimensional. We propose a rapid impact assessment framework that comprises detailed geographical and temporal landmarks as well as the potential socio-economic magnitude of the disaster based on heterogeneous data sources: Environment sensor data, social media, remote sensing, digital topography, and mobile phone data. As dynamics of floods greatly vary depending on their causes, the framework may support different phases of decision-making during the disaster management cycle. To evaluate its usability and scope, we explored four flooding cases with variable conditions. The results show that social media proxies provide a robust identification with daily granularity even when rainfall detectors fail. The detection also provides information of the magnitude of the flood, which is potentially useful for planning. Network analysis was applied to the social media to extract patterns of social effects after the flood. This analysis showed significant variability in the obtained proxies, which encourages the scaling of schemes to comparatively characterize patterns across many floods with different contexts and cultural factors. This framework is presented as a module of a larger data-driven system designed to be the basis for responsive and more resilient systems in urban and rural areas. The impact-driven approach presented may facilitate public–private collaboration and data sharing by providing real-time evidence with aggregated data to support the requests of private data with higher granularity, which is the current most important limitation in implementing fully data-driven systems for disaster response from both local and international actors.

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