University of California, Merced
Scope of Work Statement
Health impacts of air pollution in Fresno, CA
Sponsor: City of Fresno, California
Prepared by: Sandie Ha
Version: 3
Date: Jan 14, 2022
Last updated: March 11, 2022
Contents
1. Problem statement .................................................................................................................................... 4
2. Objectives .................................................................................................................................................. 4
3. Administration ........................................................................................................................................... 4
4. Brief research methods ............................................................................................................................. 5
4.1 Population-based health risk assessment ........................................................................................... 5
4.1.1 Overview. ...................................................................................................................................... 5
4.1.2 Health outcomes of interest ......................................................................................................... 5
4.1.3 Data sources ................................................................................................................................. 5
4.1.4. Study design and analytic approach ............................................................................................ 6
4.2 Community-based health survey ......................................................................................................... 7
4.2.1 Overview ....................................................................................................................................... 7
4.2.2 Health outcomes of interest ......................................................................................................... 7
4.2.3 Study design and analytical approach .......................................................................................... 7
5. Deliverables ............................................................................................................................................... 7
6. Expected Timeline ...................................................................................................................................... 8
7. Estimated Budget ..................................................................................................................................... 10
8. References ............................................................................................................................................... 11
1. Problem statement
Air pollutants including fine particles and ozone have been consistently linked to many health outcomes ranging from minor respiratory irritation to cardiorespiratory complications and even premature death.1-6 Biologic mechanisms linking air pollution to adverse health outcomes include oxidative stress, systemic inflammation, and endocrine disruption.7,8 Despite a significant body of work, very few studies have comprehensively evaluated health impacts of air pollution in central California, an area with significant air pollution levels, marked health disparities, and severely limited access to care.9,10
2. Objectives
The objectives of this health impact assessment are three-fold. First, we seek to assess the extent to which air pollution impacts the risk of common health outcomes across the lifespan. These health outcomes include infant mortality, preterm delivery, childhood asthma, and cardiovascular events in the city of Fresno, CA from 2008-2019. Second, to inform policy and planning efforts, we also calculate the excess number of cases that are attributed to air pollution in the region. Stated differently, these estimates refer to the number of cases that could be prevented if air pollution levels are minimized. Additionally, we will also explore whether the health impacts of air pollution differ in neighborhoods with high and low socioeconomic indicators. Third, we seek to conduct a community-based health survey to explore residents’ concerns, behaviors, health outcomes, and health needs that are relevant to air pollution in the region. This assessment is designed to be consistent with the World Health Organization’s general principles of health risk assessment of air pollution11, while incorporating important information that is relevant to the city of Fresno.
3. Administration
The study will be led by Dr. Sandie Ha from the University of California, Merced. The assessment is expected to be completed in 18 months. During the study period, the PI will be available for public meeting to provide updates and/or discuss any potential issues or questions.
Administrative activities including IRB approval, data request, and survey design will be started prior to the study period (but after contract approval) to ensure timely completion.
4. Brief research methods
To provide a comprehensive assessment the community’s health related to air pollution, the study will consist of two components including 1) a population-based health risk assessment and 2) a community health survey. The population-based health risk assessment will provide population-based estimates that are useful for health impact estimation, policy decisions and community planning. Meanwhile, the community health needs survey will provide more details about residents’ concerns, behaviors, health status, and needs that will further support policy decisions and intervention efforts.
4.1 Population-based health risk assessment
4.1.1 Overview.
In the population-based health risk assessment, we will be spatiotemporally linking large population-based health databases to air pollution estimation surfaces as well as other social environment indicators (more details on data sources are described in section
4.1.3). The resulting dataset will provide estimation of air pollution exposures by individuals at any space-time and allows the opportunity to evaluate whether air pollution exposures are associated with the risk of specific health outcomes of interest across the lifespan.
4.1.2 Health outcomes of interest
To capture the wide range of potential health impacts of air pollution, we will be assessing multiple health effects across the lifespan in different age groups. These specific health outcomes include infant mortality and preterm birth among pregnant women and infants <1 year, asthma among children <18 years, and cardiovascular events (i.e., stroke, heart attack, etc) among adults ≥18 years in Fresno, CA. To address environmental injustice, we will also evaluate whether certain neighborhoods, indicated by area-level socioeconomic indicators, are more susceptible to the health effects of air pollution.
4.1.3 Data sources
The research team will be linking large population-based databases from a several well-known sources to ensure generalizability (Table 1). Data for air pollution, traffic/highway, truck routes, meteorological conditions, environmental injustice indicators, adverse pregnancy outcomes (i.e., infant mortality, preterm birth), and healthcare encounters (i.e. ED visits, hospitalization) for asthma and cardiovascular disease will be geocoded and spatiotemporally linked based on residential zip-code. Zip-code is the smallest geographical indicator available due to data privacy. The resulting linked file allows a comprehensive estimation of daily air pollution exposures, neighborhood characteristics, distance from major roads, and health information for each individual (e.g., all births and all emergency room visits and hospitalizations) in the databases.
For adverse pregnancy outcomes, addresses are available for more detailed spatial analyses. (See Section 4.1.4 below) Table 1. Data sources
Types of data Data source Year Data description
Air pollution San Joaquin Valley Air District 2007-2020 Daily concentration of air pollution estimated for all zip-
codes in Fresno
Major roadways, truck
routes
Caltrans 2008-2019 Major roadways, truck routes,
traffic density in Fresno
Meteorological data EPA Air Monitoring Network 2007-2020 Daily meteorological data at local monitors located in Fresno
Adverse pregnancy
outcomes (e.g., infant
mortality, preterm birth)
California Vital Statistics Birth
Cohort Data
2008-2018
(2018 is the latest year
available)
Linked birth and death
certificates for all births
registered in Fresno
Asthma and cardiovascular California's Office of
Statewide Health Planning
and Development (OSPHD)
2008-2019
(2019 is the latest year
available)
Patient-level administrative data
abstracted from individual
patient records and facility-level
utilization data on healthcare
services from hospitals and
healthcare facilities in Fresno
Environmental Justice
indicators
CalEnviroScreen 4.0 from the
The Office of Environmental
Health Hazard Assessment
(OEHHA)
*Note: a new version is
available but the older 2018
version is closer to the study
period.
2021
Environmental scores for all
census tracts in Fresno based
on potential exposures to
pollutants, adverse
environmental conditions,
socioeconomic factors and
prevalence of certain health
conditions.
Neighborhood and
contextual characteristics
American Community Survey
and US Census
2010 Provides neighborhood
socioeconomic indicators (e.g.,
income, education, etc) for all
zip-codes in Fresno
4.1.4. Study design and analytic approach
We will be using the time-stratified case-crossover design and analyses to fully control for potential time-invariant confounding. This innovative approach is commonly and increasingly used to evaluate the effects of air pollution on acute outcomes in the literature.12-16 To assess potential delayed effects of air pollution, we will evaluate risks within one week of exposure. Conditional logistic regression models will be used to calculate excess risk of health outcomes associated with air pollution exposures.
For pregnancy outcomes, we will be able to obtain residential address of the mother at delivery. Thus, in addition to the analyses mentioned above, we will also perform a more detailed spatial analysis which assesses whether proximity to major roadways, truck routes, or the distribution center are associated with elevated risk of adverse pregnancy outcomes. Such analysis will compare births <500m away from a source to those who live further away. Potential confounders of interest will be evaluated using directed acyclic graphs.
We will also explore differences in health impacts of air pollution based on neighborhood characteristics. For example, at the same level of air pollution exposure, we will identify whether certain communities have more health impacts compared to others (i.e. more susceptible to impact of air pollution).
4.2 Community-based health survey
4.2.1 Overview
In order to supplement the population-based health risk assessment, we will also conduct a community-based health survey to obtain more details regarding residents’ health status, concerns, awareness, and needs. We will be working with our established community partner to conduct a survey of ~1000-2,000 randomly selected Fresno residents living at varying distance from distribution center.
The survey we will be administered by trained interviewers, and will assess residents’ concerns, health status, behavior, and health needs that are relevant to air pollution exposures.
4.2.2 Health outcomes of interest
The survey will be capturing several important health domains that are relevant with respect to pollution exposures. These include address (for geocoding); demographics; health conditions; surrounding environmental conditions; employment; general health behaviors; knowledge, perception and practice related to air pollution; sources of air pollution and health information; neighborhood concerns; and healthcare utilization and access.
4.2.3 Study design and analytical approach
This survey will employ a cross-sectional design. We will be providing descriptive statistics of the health outcomes described in section 4.2.2. We will also compare needs, concerns and other health indicators across demographic groups using t-tests or chi- square tests as appropriate. Comparisons will also be made between those who live closer to the distribution center and those who live further away.
5. Deliverables
Through the contract period, the researchers and sponsor will be engaged in ongoing discussion to ensure timely and high-quality deliverables. Deliverables and their tentative due dates are presented in Table 2 below.
Table 2. Expected deliverables
Deliverables Description Expected delivery
HRA 1 – Associations
between air pollution and
adverse pregnancy
outcomes
-Descriptive statistics of characteristics of study participants and distributions of air pollution (ozone, PM2.5) over space and time. -Associations (odds ratios, 95% confidence intervals) between air pollution exposures (ozone, PM2.5) and infant mortality & preterm birth -Excess number of infant mortality and preterm births that were attributable to air pollution
-If applicable data will be presented separately for disadvantaged and affluent neighborhoods
-An assessment comparing adverse pregnancy outcomes between those who live within 500m of a major roadway/truck road vs. those who do not -Assessment comparing adverse pregnancy outcomes between those who live within 500m of the distribution center vs. those who do not.
December 31, 2022
HRA 2 – Associations
between air pollution and
childhood asthma
emergency department
(ED) visits in Fresno, CA
-Descriptive statistics of characteristics of study participants -Associations (odds ratios, 95% confidence intervals) between air pollution (ozone, PM2.5) exposures and childhood asthma ED visits -Excess number of childhood asthma that were attributable to air pollution -If applicable data will be presented separately for disadvantaged and affluent neighborhoods
June 30, 2023
HRA 3 – Associations
between air pollution and
cardiovascular disease
emergency department
visits
-Descriptive statistics of characteristics of study participants -Associations (odds ratios, 95% confidence intervals) between air pollution exposures (ozone, PM2.5) and cardiovascular event hospitalization and ED visits (stroke, heart attack, heart failure, etc)
-Excess number of cardiovascular events that were attributable to air pollution
-If applicable data will be presented separately for disadvantaged and affluent neighborhoods
August 15, 2023
Health needs assessment -Descriptive statistics of resident’s concerns, needs, and health status relevant to air pollution
December 01, 2023
FINAL REPORT December 31, 2023
6. Expected Timeline
2021 2022 2023
Activities Q2 Q3 J F M A M J J A S O N D J F M A M J J A S O N D Finalize scope of work
Assemble an interdisciplinary team
Start weekly meetings with team
Survey design
IRB and data requests
Receipt of data
Geocode birth certificate data
Health needs assessment survey x Data management and linkage (Vital statistics)
HRA 1 (adverse pregnancy outcomes) x
Data management and linkage (OSHPD)
HRA 2 (childhood asthma) x
HRA 3 (cardiovascular events) x
FINAL Report x
7. Estimated Budget
Please see attached Excel sheet
Salaries Year 1 Year 2: Six months Year 3Year 4Year 5TotalPersonnelYr 1Yr 2Yr 3Yr 4Yr 5PI: Sandie Ha 33,967 11,662 - - - 45,629 PI: Sandie Ha 11Co-PI 1 - - - - - - Co-PI 1Co-PI 2 - - - - - - Co-PI 2Co-PI 3 - - - - - - Co-PI 3Co-PI 4 - - - - - - Co-PI 4PI Salary: Course Buyout- - - - - - PI Salary: Course BuyoutPostdoc Level - - - - - - Postdoc Level Staff (Exempt) - - - - - - Staff (Exempt)Staff (Non-Exempt)- - - - - - Staff (Non-Exempt)Undergraduate Academic Year15.00$ 2,600 7,020 - - - - 7,020 Undergraduate Academic Year1Undergraduate: summer, holidays15.00$ 2,600 5,850 - - - - 5,850 Undergraduate: summer, holidays1GSR-AY (Fall): Step V11,009 - - - - 11,009 GSR-AY (Fall): Step V11GSR-AY (Spring): Step V11,009 11,340 - - - 22,349 GSR-AY (Spring): Step V11GSR- Sumr: Step V 14,679 2,520 - - - 17,199 GSR- Sumr: Step V 21Professional Research Scientist (Exempt)- - - - - - Professional Research Scientist (Exempt)Professional Research Scientist (Non-Exempt)- - - - - - Professional Research Scientist (Non-Exempt)Project Scientist (Exempt)- - - - - - Project Scientist (Exempt)Project Scientist (Non-Exempt)- - - - - - Project Scientist (Non-Exempt)Project Coordinator (Exempt)- - - - - - Project Coordinator (Exempt)Project Coordinator (Non-Exempt)- - - - - - Project Coordinator (Non-Exempt)83,534 25,521 - - - 109,056 % PersonnelYr 1Yr 2Yr 3Yr 4Yr 53.0%1,019 350 - - - 1,369 PI: Sandie Ha 313.0%- - - - - - Co-PI 13.0%- - - - - - Co-PI 23.0%- - - - - - Co-PI 33.0%- - - - - - Co-PI 437.0%- - - - - - PI Salary: Course Buyout14.0%- - - - - - Postdoc Level 45.7%- - - - - - Staff (Exempt)53.5%- - - - - - Staff (Non-Exempt)3.0%211 - - - - 211 Undergraduate Academic Year93.0%176 - - - - 176 Undergraduate: summer, holidays33.0%330 - - - - 330 GSR-AY (Fall): Step V4.53.0%330 340 - - - 670 GSR-AY (Spring): Step V4.54.53.0%440 76 - - - 516 GSR- Sumr: Step V 3145.7%- - - - - - Professional Research Scientist (Exempt)53.5%- - - - - - Professional Research Scientist (Non-Exempt)45.7%- - - - - - Project Scientist (Exempt)53.5%- - - - - - Project Scientist (Non-Exempt)45.7%- - - - - - Project Coordinator (Exempt)53.5%- - - - - - Project Coordinator (Non-Exempt)2,506 766 - - - 3,272 86,040 26,287 - - - 112,327 PersonnelYr 1Yr 2Yr 3Yr 4Yr 5PI: Sandie Ha 100.0%100.0%- Co-PI 1- Co-PI 2- Co-PI 3- - - - - - Co-PI 4PI Salary: Course BuyoutPostdoc Level 4,000 6,000 10,000 Staff (Exempt)2,000 2,000 Staff (Non-Exempt)6,000 6,000 - - - 12,000 Undergraduate Academic Year30.0%Participant Support Undergraduate: summer, holidays75.0%Stipends - GSR-AY (Fall): Step V49.9%Travel - GSR-AY (Spring): Step V49.9%49.9%Subsistence - GSR- Sumr: Step V 49.9%49.9%Other: - Professional Research Scientist (Exempt)Total Participant Support- - - - - - Professional Research Scientist (Non-Exempt)Subawards Project Scientist (Exempt)Subaward 1: TBD Fresno CBO - Project Scientist (Non-Exempt)Subaward 2 - Project Coordinator (Exempt)Subaward 3 - Project Coordinator (Non-Exempt)UC Subaward 4 - Inflation auto-completes DO NOT EDIT1.03UC Subaward 5 - Person Months Per Year (auto-completes)UC Subaward 6 - PersonnelYr 1Yr 2Yr 3Yr 4Yr 5TotalTotal Subawards- - - - - - PI: Sandie Ha 310004Co-PI 1 00000018,550 18,550 Co-PI 2 00000020,000 20,000 Co-PI 3 00000037,000 37,000 Co-PI 4 0000003,000 3,000 PI Salary: Course Buyout0000005,000 5,000 Postdoc Level 000000Other: (Includes GSR Tuition & Fees)Fall Spring Staff (Exempt)000000Tuition **5,721 5,721 11,442 12,586 - - - 24,028 Staff (Non-Exempt)000000Non-resident Supplemental Tuition **7,551 7,551 - - - - - - Undergraduate Academic Year2.700002.7Student Services Fee **564 564 1,128 1,241 - - - 2,369 Undergraduate: summer, holidays2.2500002.25Health Insurance **1,356 1,899 3,255 3,580 - - - 6,835 GSR-AY (Fall): Step V2.245500002.2455Sub-Total Tuition & Fees 15,825 17,407 - - - 33,232 GSR-AY (Spring): Step V2.24552.24550004.49199,375 17,407 - - - 116,782 GSR- Sumr: Step V 2.9940.4990003.493191,415 49,694 - - - 241,110 Professional Research Scientist (Exempt)000000- - Professional Research Scientist (Non-Exempt)000000175,590 32,287 - - - 207,877 Project Scientist (Exempt)000000Total Indirect Costs52,677 9,686 - - - 62,363 Project Scientist (Non-Exempt)000000244,092 59,381 - - - 303,473 Project Coordinator (Exempt)000000Project Coordinator (Non-Exempt)000000Yr 1Yr 2Yr 3Yr 4Yr 5 Total Fall Semester # GSRSalary36,698 13,859 - - - 50,557 Yr 1Yr 2Yr 3Yr 4Yr 5Fringe1,101 416 - - - 1,517 Tuition ** 11000Consortium IDC Non-resident Supplemental Tuition **Direct costs less consortium IDC191,415 49,694 - - - 241,110 Student Services Fee **11000Health Insurance **11000FY 2022FY 2023FY 2024FY 2025FY 2026FY 2027 Spring Semester # GSR45.7%45.7%45.7%45.7%45.7%45.7% Yr 1Yr 2Yr 3Yr 4Yr 537.0%37.0%37.0%37.0%37.0%37.0%Tuition ** 1100014.0%14.0%14.0%14.0%14.0%14.0%Non-resident Supplemental Tuition **3.0%3.0%3.0%3.0%3.0%3.0%Student Services Fee **1100053.5%53.5%53.5%53.5%53.5%53.5%Health Insurance **110001.1Budget periodFY to useJuly 1, 2020-June 30, 2021FY 2021July 1, 2021-June 30, 2022FY 2022July 1, 2022-June 30, 2023FY 2023Fall SpringJuly 1, 2023-June 30, 2024FY 20244,291 4,291 5,663 5,663 423 423 1,017 1,424 GSR fees, <55% IDCFall Spring5,721 57217,551 7551564 564135618990.551 Tuition Increase (do not edit)
Faculty (Academic Year)Post Doctoral ScholarsLimited Benefits Eligibility (including Faculty Summer Salaries) GSR- Sumr: Step V Professional Research Scientist (Exempt)Professional Research Scientist (Non-Exempt) EquipmentEquipmentEquipmentEquipment
Total Request0.30
Total F & S
Participant Incentives
Other: Biostatistics recharge
Budget Start Date: 1/1/22Sponsor: City of FresnoBudget End Date: 6/30/23 Non Exempt Staff
Project Scientist (Exempt)Project Scientist (Non-Exempt)Project Coordinator (Exempt) Composite Benefit Rates per yearOther Academic and Exempt Staff TravelTravel-international Total Travel
Other Direct Costs
MTDC (less equipment, Stdnt fees, & SK's > 25,000)
Materials/Supplies: four computers, software license, data costs, data storage, misc Total Equipment
Principal Investigator: Sandie Ha
11,322.22$
4,902.83$ 4,902.83$ 4,902.83$
Co-PI 1Co-PI 2Co-PI 3Co-PI 4PI Salary: Course BuyoutStaff (Exempt) # Personnel Per Yr
Percentage of Effort Per Month Per Yr
Consultant Services: environmental justice + other TBD SPARC lab Postdoc Level Staff (Non-Exempt)Undergraduate Academic YearGSR-AY (Fall): Step V Travel-domestic
Project Title: Health Impacts of air pollution in Fresno, CAMonthly Rate GSR-AY (Spring): Step VUndergraduate: summer, holidays
Total SalariesFringe: Composite Benefit Rates effective 7/1/21 GSR fees, =>55% IDC includes 25% discount
# of Months Per Yr (integer value)
Budget type: 1=RR, 2=modularCurrent IDC Rate:
Information for spreadsheet functionality: do not edit
GSR Totals Per Year
Total Other Direct CostsTotal Direct CostsPortion of Sub-award to be charged IDC PI: Sandie Ha
Total FringeProject Coordinator (Non-Exempt)
8. References
1. Grande G, Ljungman PLS, Eneroth K, Bellander T, Rizzuto D. Association Between Cardiovascular Disease and Long-term Exposure to Air Pollution With the Risk of Dementia. JAMA Neurol. 2020;77(7):801-809.
2. Hayes RB, Lim C, Zhang Y, et al. PM2.5 air pollution and cause-specific cardiovascular disease mortality. Int J Epidemiol. 2020;49(1):25-35.
3. Schraufnagel DE, Balmes JR, Cowl CT, et al. Air Pollution and Noncommunicable Diseases: A Review by the Forum of International Respiratory Societies' Environmental Committee, Part 2:
Air Pollution and Organ Systems. Chest. 2019;155(2):417-426.
4. Orru H, Ebi KL, Forsberg B. The Interplay of Climate Change and Air Pollution on Health. Curr Environ Health Rep. 2017;4(4):504-513.
5. Lee JT. Review of epidemiological studies on air pollution and health effects in children. Clin Exp Pediatr. 2021;64(1):3-11.
6. Guo LQ, Chen Y, Mi BB, et al. Ambient air pollution and adverse birth outcomes: a systematic review and meta-analysis. J Zhejiang Univ Sci B. 2019;20(3):238-252.
7. Fiordelisi A, Piscitelli P, Trimarco B, Coscioni E, Iaccarino G, Sorriento D. The mechanisms of air pollution and particulate matter in cardiovascular diseases. Heart Fail Rev. 2017;22(3):337-347.
8. Yang D, Yang X, Deng F, Guo X. Ambient Air Pollution and Biomarkers of Health Effect. Adv Exp Med Biol. 2017;1017:59-102.
9. Lighthall D, Capitman J. The Long Road to Clean Air in the San Joaquin Valley: Facing the Challenge of Public Engagement. Fresno, CA: California State University, Fresno.;2007.
10. Bengiamin M, Capitman JA, Chang X. Healthy people 2010: A 2007 profile of health status in the San Joaquin Valley. Fresno, CA: California State University, Fresno;2008.
11. WHO. Health risk assessment of air pollution – general principles. Copenhagen: WHO Regional Office for Europe: World Health Organization;2016.
12. The Case-Crossover Design: A Method for Studying Transient Effects on the Risk of Acute Events.
Am J Epidemiol. 2017;185(11):1174-1183.
13. Szyszkowicz M, Tremblay N. Case-crossover design: air pollution and health outcomes. Int J Occup Med Environ Health. 2011;24(3):249-255.
14. Janes H, Sheppard L, Lumley T. Case-crossover analyses of air pollution exposure data: referent selection strategies and their implications for bias. Epidemiology. 2005;16(6):717-726.
15. Mittleman MA, Maclure M, Robins JM. Control sampling strategies for case-crossover studies:
an assessment of relative efficiency. Am J Epidemiol. 1995;142(1):91-98.
16. Maclure M. The case-crossover design: a method for studying transient effects on the risk of acute events. Am J Epidemiol. 1991;133(2):144-153.
SPO-1023 Version 9 1
BUDGET JUSTIFICATION:
PI: Sandie Ha
Project Title: Health impacts of air pollution in Fresno, CA Project Period: 1/01/2022 - 6/30/2023
A. SENIOR PERSONNEL:
A.1. Dr. Sandie Ha will commit a total of 3 person months. She will work on, and supervise the research assistants working on the project.
B. OTHER PERSONNEL:
B.1. The Graduate Student Researcher (TBD) will commit 13 person academic months and 4 person summer months. The GSR will help with data management and analyses during the academic year. During summer two Graduate Student Researchers will help with survey data cleaning, management, and analysis.
B.2. The Undergraduate Student Assistant will assist with recruitment efforts, survey instrument design, data cleaning and management. The student will also be helping with administrative tasks such as IRB application and data acquisision.
Salaries are based on current actual salaries and are projected to include a 3% annual cost- of- living adjustment (and merit, if applicable) effective each year, consistent with institutional policy.
C. FRINGE BENEFITS:
a. 3% benefit rate is used for PI/Co-PIs.
b. 45.7% benefit rate is used for Research Scientists.
c. 14% benefit rate is used for Post-Doctoral Scholars. d. 3% benefit rate is used for Graduate Student Researchers.
The University of California, Merced Composite Fringe Benefit Rates (CFBR) have been reviewed and federally approved by the Department of Health and Human Services (DHHS) for use by all fund sources for FY21. Rates beyond June 30, 2021 are estimates and are provided for planning purposes only. Future CFBR rates are subject to review and approval by DHHS on an annual or bi-annual basis. Fringe benefits are assessed as a percentage of the respective employee’s salary. For more information, please see:
https://bfs.ucmerced.edu/departments/costing-and-policy/cbr
D. TUITION AND FEES:
The University of California, Merced provides full remission of tuition, all fees, and graduate student health insurance to all graduate students who are employed on-campus at 25% time or greater during the academic year. The rates are based on current graduate fees and are escalated annually in the budget at a rate of 10% per year. Additional information regarding the fee remission program can be found at:
https://catalog.ucmerced.edu/content.php?catoid=17&navoid=1626#fee_schedule
E. TRAVEL:
E.1. Domestic: Funding is requested for domestic travel for conferences for professional development and learn relevant methods for the project. Estimated breakdown of costs are as follows:
SPO-1023 Version 9 2
E.2. Foreign: Funding is requested for foreign travel for conferences for professional development and learn relevant methods for the project. Estimated breakdown of costs are as follows:
International per diem rates can be found here:
https://aoprals.state.gov/web920/per_diem.asp
F. OTHER DIRECT COSTS:
F.1. Materials and Supplies: Funding is requested for purchasing:
F.1.1. Four (4) high performance computers for the management and linkage of large datasets.
F.1.2. Software: ArcGIS will be used to link spatial data F.1.3. Vital statistics requests
F.1.4. Data storage: A larger server to accomondate the large amount of data necessary to conduct the proposed studies.
F.2. Consultant Services: Funding is requested for consultant (TBD). Environmental justice expert consultants will advise on issues surrounding incorporating environmental justice measures into the analyses.
F.3. UCM Biostatistics Core: An on-site recharge facility will provide comprehensive statistical and data analysis support.
F.4. Geocoding: UC Merced GIS Lab will be consulted to assist with geocoding birth certificate data.
G. INDIRECT COSTS:
Per the sponsor’s policy, indirect costs have been limited to 30% of total direct costs.
Item Year 1 Year 2 Total
Airfare 1,500 1,500 3,000
Lodging 800 800 1,600
Meals 300 300 600
Conference
Registration 300 300 600
Transportati
on 100 100 200
TOTAL: 3,000 3,000 6,000
Item Year 1 Year 2 Total
Airfare 3,000 0 3,000
Lodging 1,500 0 1,500
Meals 300 0 300
Conference
Registration 600 0 600
Transportati
on 600 0 600
TOTAL: 6,000 0 6,000