Injury Epidemiology and Investigation _ Phathai Singkham MD MPH.pdf

•

0 likes•7 views

Understanding the basic concept and related theories for injury prevention. Based on road traffic injury showcase, you will see in detail how public health can significantly participate in injury prevention.

Health & Medicine

Injury Epidemiology
Surveillance & Investigation
Phathai Singkham
MD MPH

Accident and Injury
More to know :
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4225791/
THA
≈ 80 : 18 : 2

Theories
Problem system-analysis
3D Haddon Matrix Determinants of Health
Original from Dahlgren G, Whitehead M
Original from William Haddon
More to read :
Policies and Strategies to Promote Social Equity in Health. Stockholm
Using the Haddon matrix: introducing the third dimension

Theories
Road Safety Countermeasures
https://roadsafetystrategy.ca/en/strategy
https://www.roadsafety.gov.au/nrss/safe-system
More to read : Safe system approach

Global
More to read:
https://issuu.com/gestamprenewableindustries/docs/fundaci_n_mapfre_road_safety_and_the_sdgs
Road safety Performance targets and indicators
Global status report on road safety
More to learn :

National
https://www.who.int/docs/default-
source/thailand/roadsafety/thailand-
status-against-12-global-road-safety-
performance-
targets.pdf?sfvrsn=92a24b06_4
More to read :
Country Guidelines for the Conduct of Road Safety Management Capacity Reviews
and the Specification of Lead Agency Reforms, Investment Strategies and Safe System
Projects

มุมมอง ภาคปฏิบัติ สถานการณ์
พิการ
ตา
ย
บาดเจ็บรุนแรง
บาดเจ็บ
ทัวไป
ช่วยเหลือ รักษา
ปัจจัยเสียง
อุบัติเหตุ การชน
ปัจจัย ช่วยลดการตาย พิการ
มาตรการ
มูลค่าใช้จ่าย
ทางอ้อม
ทางตรง
ปัจจัยแวดล้อม

WHO GRS Info
https://extranet.who.int/roadsafety/death-on-the-roads/

Injury prevention concept
More to learn
https://www.cdc.gov/violenceprevention/pdf/instructor-guide.pdf

surveillance
data
essential to
Public health surveillance is “the ongoing, systematic collection, analysis, and interpretation of health-related data essential to planning, implementation, and evaluation of public health practice.” — Field
Epidemiology https://www.cdc.gov/training/publichealth101/surveillance.html
ACTION
planning
implementation
evaluation
public health practices
ongoing
systematic collection
interpretation
health-related
Determinants of Health
Investigation
Research
Risk
communication
“ disease and other health events do not
occur randomly in a population ”
Causation ??
Distribution ??
Time Place Person
Host
Agent Environment
Data Utilization for Road Safety
Principle
Technical Challenges
Adaptive Challenges

Maximizing Power of Data
Surveillance and Investigation
Injury Surveillance
Mostly quantitative,
“Quick”
Situation awareness
Identify problems
Develop hypothesis
Prioritization
Injury Investigation
Qualitative and quantitative
“Detail”
Understand more in mechanism
Identify factors
Develop precise intervention
Story telling
Precise, effective interventions

Similar to Injury Epidemiology and Investigation _ Phathai Singkham MD MPH.pdf

Safety Education on Knowledge, Attitude and Practice Towards Road Traffic Sig...

Kailash Nagar

In this paper, we used the knowledge discovery in databases and data mining, one of the data-based decision support techniques to help labeling customers in the automobile insurance industry. In most data mining application cases, major tasks including data preparation, data preprocessing, data transformation, data mining, interpretation, application and evaluation, are required. The results of a case study are presented that knowledge discovery of databases and data mining is used to explore decision rules for an automobile insurance company. The decision rules can be used to label the customers as “bad” or “good” for insurance policies.

LABELING CUSTOMERS USING DISCOVERED KNOWLEDGE CASE STUDY: AUTOMOBILE INSURAN...

ijmvsc

Estimation of Prediction for Heart Failure Chances Using Various Machine Lear...

IRJET Journal

HRM METRICS assignment 1 healthcare Information Management: Past, Present, and Future Introduction: Healthcare information systems are currently an integral component in providing healthcare services that ensure care continuum, quality provision of care, and desired patient and financial outcomes. In order to move with the current demands in healthcare information, we must learn from the past, analyze the current healthcare information needs and availability, and make sense on how we can do it better in the future. Tasks: Describe the history of healthcare information systems. Identify and analyze at least five driving forces in the emergence and adoption of HIT. Identify at least three most common healthcare information system applications that are integral to the operation of any healthcare organization. Conduct a Strength Weakness Opportunity and Threats (SWOT) analysis of the current state of HIT. 4-6 pages APA format assignment 2 Major health information technology (HIT) regulations aim to ensure privacy and confidentiality of patient health information. In this assignment, you will be asked to research your state privacy laws and standards specific to patient health information. Tasks: · Describe and discuss your state’s privacy laws that are specific to HIT. · Compare and contrast your state’s privacy laws against HIPAA privacy rules. · Develop and present a one- or two-page sample policy in ensuring privacy and confidentiality of patient health information when adopting an HIT. Your policy must cover: · Boundaries or limitations of disclosure · Security · Consumer control · Accountability The following resources are provided for this project: From the Internet, review the following: Federal Trade Commission. (2010). Complying with the FTC’s health breach notification rule. Retrieved from https://www.ftc.gov/tips-advice/business-center/guidance/complying-ftcs-health-breach-notification-rule Office of the National Coordinator for Health Information Technology. (2018). Health IT legislation. Retrieved from https://www.healthit.gov/topic/laws-regulation-and-policy/health-it-legislation Mertz, K. (2008). Health information technology 2007 and 2008 state legislation. Retrieved from http://www.ncsl.org/print/health/forum/hit_enacted.pdf assignment 3 Administrative and Financial System Application Introduction: Healthcare managers and administrators are exposed to both clinical and business processes. It is almost impossible to achieve competency in business structures and processes, especially if one does not have the clinical background or have limited experience and knowledge of interdepartmental processes as well as external influences such as regulations, standards, etc. An administrative or management system would be most helpful to navigate a complex hospital or integrated healthcare system. Tasks: Describe and discuss management/administrative and financial system applications. Discuss potential costs of an IT system adoption ...

HRM METRICSassignment 1healthcare Information Management.docx

pooleavelina

GRC15620_Report_-_Third_party_risk_exposing_the_gaps

Kate Tomlinson

Road traffic accidents are the most common accidents that annually Endangers lives of many people in the world. Our country Iran is one of the countries with highest incidence and mortality due to accidents that has been introduced. So it’s requires identification of underlay in dimensions in this field. Due to the increasing amount of car accidents in order to increase volume of information related to car accidents and needs to explore and reveal hidden dependencies and very long time among this information. So using traditional methods to discover these complex relations don't response between involved factors and we need to use new techniques. Considering that main aim of this paper is to find best relationship between volumes of information in shortest time. So, in this paper, we classify accidents in West Azerbaijan province in Iran by accident type (damage, injury, death) and we describe it by using Particle Swarm Optimization (PSO) algorithm

EVALUATION OF PARTICLE SWARM OPTIMIZATION ALGORITHM IN PREDICTION OF THE CAR ...

ijcsa

Road accidents have significant economic and societal costs, with a small number of severe accidents accounting for a large portion of these costs. Predicting accident severity can help in the proactive approach to road safety by identifying potential unsafe road conditions and taking well-informed actions to reduce the number of severe accidents. This study investigates the effectiveness of the Random Forest machine learning algorithm for predicting the severity of an accident. The model is trained on a dataset of accident records from a large metropolitan area and evaluated using various metrics. Hyperparameters and feature selection are optimized to improve the model's performance. The results show that the Random Forest model is an effective tool for predicting accident severity with an accuracy of over 80%. The study also identifies the top six most important variables in the model, which include wind speed, pressure, humidity, visibility, clear conditions, and cloud cover. The fitted model has an Area Under the Curve of 80%, a recall of 79.2%, a precision of 97.1%, and an F1 score of 87.3%. These results suggest that the proposed model has higher performance in explaining the target variable, which is the accident severity class. Overall, the study provides evidence that the Random Forest model is a viable and reliable tool for predicting accident severity and can be used to help reduce the number of fatalities and injuries due to road accidents in the United States.

PREDICTING ACCIDENT SEVERITY: AN ANALYSIS OF FACTORS AFFECTING ACCIDENT SEVER...

IJCI JOURNAL

Heart disease (HD) accounts for more deaths every year than other illnesses. World Health Organization (WHO) assessed 17.9 million life losses caused by heart disease in 2016, demonstrating 31% of all international life losses. Three-quarters of these life losses occur in low and middle-income nations. Machine learning (ML), due to advanced precision in pattern recognition and classification, demonstrates to be in effect in complementing decisionmaking and threat prediction from the huge number of HD data created by the healthcare sector. Thus, this study aims to develop a logistic regression model (LRM) for predicting the risk of getting HD in ten years. The study explores the different methodologies for improving the performance of base LRM for predicting whether a person gets HD after ten years or not. The result demonstrates the capability of LRM in predicting the risks of getting HD after ten years. The LRM achieves 97.35% accuracy with the recursive feature elimination and random under-sampling. This implies that the LRM can play an important role in precautionary methods to avoid the risk of HD.

Prediction of the risk of developing heart disease using logistic regression

IJECEIAES

To connect, or not to connect?

Team Consulting Ltd

Global health comparison grid template use this document to c

RAHUL126667

Week01-An Overview of Information Security and Risk Management_reduced.pptx

pshah21

Over recent years, multiple disease risk prediction models have been developed. These models use various patient characteristics to estimate the probability of outcomes over a certain period of time and hold the potential to improve decision making and individualize care. Discovering hidden patterns and interactions from medical databases with growing evaluation of the disease prediction model has become crucial. It needs many trials in traditional clinical findings that could complicate disease prediction. A Comprehensive study on different strategies used to predict disease is conferred in this paper. Applying these techniques to healthcare data, has improvement of risk prediction models to find out the patients who would get benefit from disease management programs to reduce hospital readmission and healthcare cost, but the results of these endeavors have been shifted.

A comprehensive study on disease risk predictions in machine learning

IJECEIAES

Precision medicine, an innovative approach tailoring medical treatment to individual characteristics, holds great promise for improved patient outcomes. In this paradigm, pharmacovigilance plays a crucial role in monitoring and ensuring the safety of personalized treatments. The integration of big data and artificial intelligence (AI) into pharmacovigilance practices becomes paramount for handling the complexities of individualized therapies and identifying potential safety concerns. This article explores the synergies between big data, AI, and pharmacovigilance in the context of precision medicine.

Harnessing Big Data and Artificial Intelligence for Pharmacovigilance in Prec...

ClinosolIndia

Digital information security

Sayed Ahmad

IRJET- A Survey on Prediction of Heart Disease Presence using Data Mining and...

IRJET Journal

Beginning at now, street transport framework neglect to alter up to the exponential expansion in vehicular masses and to ascertaining the quickest driving courses and catastrophes inside observing differing traffic conditions is a critical issue right presently structures. To upset this issue is to explore the vehicle division dataset with bundle learning technique for finding the best street choice without calamity gauging by want aftereffects of best accuracy count by looking at oversaw AI figuring. In bits of information and AI, bundle strategies utilize diverse learning calculations to give indications of progress prudent execution. The assessment of dataset by facilitated AI technique (SMLT) to get two or three data takes after, factor perceiving proof, univariate evaluation, bivariate and multi-variate appraisal, missing worth medications and separate the information support, information cleaning/organizing and information perception will be done with everything taken into account given dataset. In addition, to look at and talk about the presentation of different AI figuring estimations from the given vehicle division dataset with assessment of GUI based street fiasco want by given attributes.

Analysis of Machine Learning Algorithm with Road Accidents Data Sets

Dr. Amarjeet Singh

UserManualFinal

Charlie Thach

A hybrid model for heart disease prediction using recurrent neural network an...

BASMAJUMAASALEHALMOH

GHS Compliance: Challenges and Solutions

Cognizant

Big data for healthcare analytics final -v0.3 miz

Yusuf Brima

Similar to Injury Epidemiology and Investigation _ Phathai Singkham MD MPH.pdf (20)

Safety Education on Knowledge, Attitude and Practice Towards Road Traffic Sig...

LABELING CUSTOMERS USING DISCOVERED KNOWLEDGE CASE STUDY: AUTOMOBILE INSURAN...

Estimation of Prediction for Heart Failure Chances Using Various Machine Lear...

HRM METRICSassignment 1healthcare Information Management.docx

GRC15620_Report_-_Third_party_risk_exposing_the_gaps

EVALUATION OF PARTICLE SWARM OPTIMIZATION ALGORITHM IN PREDICTION OF THE CAR ...

PREDICTING ACCIDENT SEVERITY: AN ANALYSIS OF FACTORS AFFECTING ACCIDENT SEVER...

Prediction of the risk of developing heart disease using logistic regression

To connect, or not to connect?

Global health comparison grid template use this document to c

Week01-An Overview of Information Security and Risk Management_reduced.pptx

A comprehensive study on disease risk predictions in machine learning

Harnessing Big Data and Artificial Intelligence for Pharmacovigilance in Prec...

Digital information security

IRJET- A Survey on Prediction of Heart Disease Presence using Data Mining and...

Analysis of Machine Learning Algorithm with Road Accidents Data Sets

UserManualFinal

A hybrid model for heart disease prediction using recurrent neural network an...

GHS Compliance: Challenges and Solutions

Big data for healthcare analytics final -v0.3 miz

More from Phathai Singkham

Unleash health innovation for government

Phathai Singkham

design our future_Phathai Singkhamm.pdf

Phathai Singkham

Road safety information system_Thailand

Phathai Singkham

Innovation Cultivating 2023 THDDCx

Phathai Singkham

health development is not only done by health sectors/workers. Many factors including physical, mental, socioeconomic and power affect to one single person. understaning this relationship helps us to see broad view and more comprehensive. This version of content is giving a guidance for applying the health determinant theory in modern way, integrating with design thinking in order to develop people-centric health intervention.

Health Determinants

Phathai Singkham

Policy Development

Phathai Singkham

Policy Development in Health

Phathai Singkham

digital tech in epidemiology; article review

Phathai Singkham

Resilient for health innovation

Phathai Singkham

As of 2021 there have been some innovations which the Disease Prevention and Health Innovation Center DPHI under department of disease control , Thailand works collaboratively with many sectors. Our major role is to facilitate the co-creation of innovation in order to fight against COVID-19. User-centered design concept has been brought in to the development process. Design thinking has been practiced among health experts and technology innovators. By facilitating these projects, we learned a lot and improve our innovation collaborating skill. We aim to be one of the best health innovation hub in Asia. These projects are parts of our work.

THA covid – control innovations aug 2021.pptx

Phathai Singkham

Decide your future 2021.pptx

Phathai Singkham

คิดอย่างไรให้ได้นวัตกรรม

Phathai Singkham

More from Phathai Singkham (12)

Unleash health innovation for government

design our future_Phathai Singkhamm.pdf

Road safety information system_Thailand

Innovation Cultivating 2023 THDDCx

Health Determinants

Policy Development

Policy Development in Health

digital tech in epidemiology; article review

Resilient for health innovation

THA covid – control innovations aug 2021.pptx

Decide your future 2021.pptx

คิดอย่างไรให้ได้นวัตกรรม

Recently uploaded

5cl adbb 5cladba cheap and fine Telegram: +85297504341

Sherrylee83

Compare home pulse pressure components collected directly from home

Catherine Liao

Young at heart: Cardiovascular health stations to empower healthy lifestyle b...

Catherine Liao

Thoracotomy is the surgical procedure with an incision made to access the pleural space and the contents of the thoracic cavity. Given the structures to be accessed with in the cavity, different incisions have been established to easy the procedure and these incisions qualify the types of thoracotomies to be studied hereunder. PRE OP OPTIMIZATION FOR SPECIFIC FACTORS The outcome of surgical procedures is not measured only by clinical end points but also shorter stays and lower costs. Patients’ discharge is delayed commonly due to inadequate pain relief, infection, arrhythmias, prolonged air leak and debility. Many complications that occur from thoracic operations can be anticipated. An aggressive preoperative work up mitigates morbidity and shortens convalescence. APPROACH CONSIDERATIONS There are about three principles that can guides the choice of the thoracotomy incision to be used I. Adequate exposure must be achieved. The choice of incision is aided by a thorough understanding of the surface anatomy and a comprehensive review of the radiographic images that are obtained preoperatively. II. Chest-wall function and appearance should be preserved to the extent possible. This principle include non-spreading video-assisted thoracoscopic surgery (VATS) procedures, muscle-sparing techniques, avoidance of excessive rib retraction, and rib preservation when possible. III. The third principle is that closure must be meticulous and appropriate. Strict layered closure is the rule for thoracic surgical incisions. Every effort should be made to approximate the individual divided chest-wall muscles in appropriate layers; otherwise, a significant delay in the recovery of range of motion (ROM) may result. Care must be taken to avoid over approximating the ribs and to prevent an override; this will help minimize postoperative pain. POST-OPERATIVE CARE AND MONITORING

THORACOTOMY . SURGICAL PERSPECTIVES VOL 1

DR SETH JOTHAM

Gauri Gawande(9) Constipation Final.pptx

gauripg8

PT MANAGEMENT OF URINARY INCONTINENCE.pptx

drtabassum4

Antiplatelets in IHD, Dose Duration, DAPT vs SAPT

AkashGanganePatil1

Presentació "Advancing Emergency Medicine Education through Virtual Reality"

Badalona Serveis Assistencials

US E-cigarette Summit: Taming the nicotine industrial complex

Clive Bates

Evaluation of antidepressant activity of clitoris ternatea in animals

Shweta

Relationship between vascular system disfunction, neurofluid flow and Alzheim...

Catherine Liao

June 20, 2024, Prix Galien International and Jerusalem Ethics Forum in ROME. Detailed agenda including panels: - ADVANCES IN CARDIOLOGY: A NEW PARADIGM IS COMING - WOMEN’S HEALTH: FERTILITY PRESERVATION - WHAT’S NEW IN THE TREATMENT OF INFECTIOUS, ONCOLOGICAL AND INFLAMMATORY SKIN DISEASES? - ARTIFICIAL INTELLIGENCE AND ETHICS - GENE THERAPY - BEYOND BORDERS: GLOBAL INITIATIVES FOR DEMOCRATIZING LIFE SCIENCE TECHNOLOGIES AND PROMOTING ACCESS TO HEALTHCARE - ETHICAL CHALLENGES IN LIFE SCIENCES - Prix Galien International Awards Ceremony

Prix Galien International 2024 Forum Program

Levi Shapiro

Non-Invasive assessment of arterial stiffness in advanced heart failure patie...

Catherine Liao

Factors Affecting child behavior in Pediatric Dentistry

Dr Simran Deepak Vangani

Scientificity and feasibility study of non-invasive central arterial pressure...

Catherine Liao

Impact of cancers therapies on the loss in cardiac function, myocardial fffic...

Catherine Liao

Why invest into infodemic management in health emergencies

Tina Purnat

Is preeclampsia and spontaneous preterm delivery associate with vascular and ...

Catherine Liao

RESULTS: Overall life span (LS) was 2252.1±1742.5 days and cumulative 5-year survival (5YS) reached 73.2%, 10 years – 64.8%, 20 years – 42.5%. 513 LCP lived more than 5 years (LS=3124.6±1525.6 days), 148 LCP – more than 10 years (LS=5054.4±1504.1 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (78.1% vs.63.7%, P=0.00001 by log-rank test). AT significantly improved 5YS (66.3% vs. 34.8%) (P=0.00000 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12 (rank=2), thrombocytes/CC (3), erythrocytes/CC (4), eosinophils/CC (5), healthy cells/CC (6), lymphocytes/CC (7), segmented neutrophils/CC (8), stick neutrophils/CC (9), monocytes/CC (10); leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0). CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) LC cell dynamics; 10) surgery type: lobectomy/pneumonectomy; 11) anthropometric data. Optimal diagnosis and treatment strategies for LC are: 1) screening and early detection of LC; 2) availability of experienced thoracic surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for LCP with unfavorable prognosis.

Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...

Oleg Kshivets

Ethanol (CH3CH2OH), or beverage alcohol, is a two-carbon alcohol that is rapidly distributed in the body and brain. Ethanol alters many neurochemical systems and has rewarding and addictive properties. It is the oldest recreational drug and likely contributes to more morbidity, mortality, and public health costs than all illicit drugs combined. The 5th edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) integrates alcohol abuse and alcohol dependence into a single disorder called alcohol use disorder (AUD), with mild, moderate, and severe subclassifications (American Psychiatric Association, 2013). In the DSM-5, all types of substance abuse and dependence have been combined into a single substance use disorder (SUD) on a continuum from mild to severe. A diagnosis of AUD requires that at least two of the 11 DSM-5 behaviors be present within a 12-month period (mild AUD: 2–3 criteria; moderate AUD: 4–5 criteria; severe AUD: 6–11 criteria). The four main behavioral effects of AUD are impaired control over drinking, negative social consequences, risky use, and altered physiological effects (tolerance, withdrawal). This chapter presents an overview of the prevalence and harmful consequences of AUD in the U.S., the systemic nature of the disease, neurocircuitry and stages of AUD, comorbidities, fetal alcohol spectrum disorders, genetic risk factors, and pharmacotherapies for AUD.

Alcohol_Dr. Jeenal Mistry MD Pharmacology.pdf

Dr Jeenal Mistry

Recently uploaded (20)

5cl adbb 5cladba cheap and fine Telegram: +85297504341

Compare home pulse pressure components collected directly from home

Young at heart: Cardiovascular health stations to empower healthy lifestyle b...

THORACOTOMY . SURGICAL PERSPECTIVES VOL 1

Gauri Gawande(9) Constipation Final.pptx

PT MANAGEMENT OF URINARY INCONTINENCE.pptx

Antiplatelets in IHD, Dose Duration, DAPT vs SAPT

Presentació "Advancing Emergency Medicine Education through Virtual Reality"

US E-cigarette Summit: Taming the nicotine industrial complex

Evaluation of antidepressant activity of clitoris ternatea in animals

Relationship between vascular system disfunction, neurofluid flow and Alzheim...

Prix Galien International 2024 Forum Program

Non-Invasive assessment of arterial stiffness in advanced heart failure patie...

Factors Affecting child behavior in Pediatric Dentistry

Scientificity and feasibility study of non-invasive central arterial pressure...

Impact of cancers therapies on the loss in cardiac function, myocardial fffic...

Why invest into infodemic management in health emergencies

Is preeclampsia and spontaneous preterm delivery associate with vascular and ...

Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...

Alcohol_Dr. Jeenal Mistry MD Pharmacology.pdf

Injury Epidemiology and Investigation _ Phathai Singkham MD MPH.pdf

1. Injury Epidemiology Surveillance & Investigation Phathai Singkham MD MPH

2. Accident and Injury More to know : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4225791/ THA ≈ 80 : 18 : 2

3. Theories Problem system-analysis 3D Haddon Matrix Determinants of Health Original from Dahlgren G, Whitehead M Original from William Haddon More to read : Policies and Strategies to Promote Social Equity in Health. Stockholm Using the Haddon matrix: introducing the third dimension

4. Theories Road Safety Countermeasures https://roadsafetystrategy.ca/en/strategy https://www.roadsafety.gov.au/nrss/safe-system More to read : Safe system approach

5. Global More to read: https://issuu.com/gestamprenewableindustries/docs/fundaci_n_mapfre_road_safety_and_the_sdgs Road safety Performance targets and indicators Global status report on road safety More to learn :

6. National https://www.who.int/docs/default- source/thailand/roadsafety/thailand- status-against-12-global-road-safety- performance- targets.pdf?sfvrsn=92a24b06_4 More to read : Country Guidelines for the Conduct of Road Safety Management Capacity Reviews and the Specification of Lead Agency Reforms, Investment Strategies and Safe System Projects

7. มุมมอง ภาคปฏิบัติ สถานการณ์ พิการ ตา ย บาดเจ็บรุนแรง บาดเจ็บ ทัวไป ช่วยเหลือ รักษา ปัจจัยเสียง อุบัติเหตุ การชน ปัจจัย ช่วยลดการตาย พิการ มาตรการ มูลค่าใช้จ่าย ทางอ้อม ทางตรง ปัจจัยแวดล้อม

8. WHO GRS Info https://extranet.who.int/roadsafety/death-on-the-roads/

9. Questions on what we need

10.

11.

12.

13. Injury prevention concept More to learn https://www.cdc.gov/violenceprevention/pdf/instructor-guide.pdf

14. surveillance data essential to Public health surveillance is “the ongoing, systematic collection, analysis, and interpretation of health-related data essential to planning, implementation, and evaluation of public health practice.” — Field Epidemiology https://www.cdc.gov/training/publichealth101/surveillance.html ACTION planning implementation evaluation public health practices ongoing systematic collection interpretation health-related Determinants of Health Investigation Research Risk communication “ disease and other health events do not occur randomly in a population ” Causation ?? Distribution ?? Time Place Person Host Agent Environment Data Utilization for Road Safety Principle Technical Challenges Adaptive Challenges

15. Maximizing Power of Data Surveillance and Investigation Injury Surveillance Mostly quantitative, “Quick” Situation awareness Identify problems Develop hypothesis Prioritization Injury Investigation Qualitative and quantitative “Detail” Understand more in mechanism Identify factors Develop precise intervention Story telling Precise, effective interventions

Injury Epidemiology and Investigation _ Phathai Singkham MD MPH.pdf

Recommended

Recommended

More Related Content

Similar to Injury Epidemiology and Investigation _ Phathai Singkham MD MPH.pdf

Similar to Injury Epidemiology and Investigation _ Phathai Singkham MD MPH.pdf (20)

More from Phathai Singkham

More from Phathai Singkham (12)

Recently uploaded

Recently uploaded (20)

Injury Epidemiology and Investigation _ Phathai Singkham MD MPH.pdf