PHW27C, Fall 2018 Course Syllabus Hugh, Mideska & Andrade Pacheco

 

  PHW272C: Applied Spatial Data Analysis for Public Health 

Course Syllabus   Draft Subject to Change 

     

Table of Contents  Course Description 2 

Course Goals 2 

Instructor Information 5 

Course Format 6 

Required Course Materials 7 

Course Schedule 8 

Course Grading 12 

https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.30j0zll https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.30j0zll https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.1fob9te https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.1fob9te https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.3znysh7 https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.3znysh7 https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.4d34og8 https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.4d34og8 https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.2s8eyo1 https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.2s8eyo1 https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.3l1wjpbh4r47 https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.3l1wjpbh4r47 https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.3rdcrjn https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.3rdcrjn

PHW27C, Fall 2018 Course Syllabus Hugh, Mideska & Andrade Pacheco

Course Requirements 13 

Completion of Course Modules 13 

Participation in Course Activities and Discussions 13 

Final Exam 14 

Course Communication 14 

Announcements 14 

Course mail 14 

Office hours 14 

Policies 14 

Due Dates 14 

Late Assignments 15 

Policy on Sharing, Copying, or Reusing SPH Online Materials15 

Disability support services 15 

Accommodation of religious creed 15 

Course evaluations 15 

Netiquette 16 

Expectations of Student Conduct 16 

Academic honesty 17   

 

https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.26in1rg https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.26in1rg https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.lnxbz9 https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.lnxbz9 https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.35nkun2 https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.35nkun2 https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.44sinio https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.44sinio https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.2jxsxqh https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.2jxsxqh https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.z337ya https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.z337ya https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.3j2qqm3 https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.3j2qqm3 https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.1y810tw https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.1y810tw https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.4i7ojhp https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.4i7ojhp https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.2xcytpi https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.2xcytpi https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.1ci93xb https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.1ci93xb https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.pywpidtwc3vx https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.pywpidtwc3vx https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.n5n8l4rpyh52 https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.n5n8l4rpyh52 https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.pf3etys7a0bw https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.pf3etys7a0bw https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.k6x1yeio52jc https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.k6x1yeio52jc https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.bg0otkxp71a5 https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.bg0otkxp71a5 https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.19uct2w5089o https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.19uct2w5089o https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.3rn511p69jt4 https://docs.google.com/document/d/10wcdmB5o14eoD4sZCr3R5BeAmmfDEqtMvoAICWp43FI/edit#heading=h.3rn511p69jt4

PHW27C, Fall 2018 Course Syllabus Hugh, Mideska & Andrade Pacheco

Course Description      Spatial analysis is a powerful set of techniques that can be used to describe and explain patterns of health and disease data  through the statistical analysis of locational data. As location information becomes routinely collected alongside health data,  including through the application of mobile and other technologies, public health researchers and practitioners are  increasingly harnessing the power of geography to increase the impact of their public health work. This course will cover the  theory and methods behind the analysis of patterns of health and disease in space. Students will increase their proficiency in  the application of spatial analysis of public health data, and will learn how to perform a wide variety of space and space-time  analyses. The course will introduce statistical techniques useful for describing, analyzing and interpreting layers of mapped  data, including the acquisition and classification of remote sensing data. Exercises will guide students to a stronger  understanding of the role of spatial data science in public health, and will provide a framework for applying spatial analysis to  common questions that arise in public health practice and research. Students will learn how to pose substantive questions  regarding spatial analysis of health data (including in the domain of spatial epidemiology), identify appropriate methods and  data necessary to address spatial questions, apply appropriate spatial statistics to diverse locational data, and report results of  analyses in a clear and interpretable manner to both public health and ion-public health audiences. This course will make  heavy use of R and will touch on different forms of spatial regression analysis. As such, students are expected to be able to use  R to a basic level and be familiar with regression analyses.      

Course Goals 

On successful completion of the course you should possess the following skills and knowledge:    

1. Understanding of the power of geographical analysis and spatial data science for characterizing health and 

health-related processes in space and time. 

2. Working knowledge of the theory and methods behind the analysis of patterns of health and disease in space. 

PHW27C, Fall 2018 Course Syllabus Hugh, Mideska & Andrade Pacheco

3. Knowledge of statistical techniques useful for describing, analyzing and interpreting layers of mapped data in public 

health applications. 

4. Ability to apply appropriate spatial statistics to diverse locational data, and report results of analyses in a clear and 

interpretable manner to both public health and non-public health audiences. 

     

Instructor Information 

 

 

Hugh Sturrock, PhD    Email: hugh.sturrock@ucsf.edu  Office Hours: Fridays 3-4pm PST 

Hugh Sturrock, MSc, PhD, is a Spatial Epidemiologist at the UCSF Global Health Group's Malaria Elimination Initiative (MEI)  and an Assistant Professor of Epidemiology and Biostatistics at UCSF. With the MEI, Hugh is focusing on the use and  optimization of active case detection to find and target asymptomatic infections as well as using routine surveillance data to  generate risk maps to guide interventions.    Hugh has a broad interest in optimizing