Jacqueline Lim - Dengue Vaccine Initiative
Jacqueline Lim - Dengue Vaccine Initiative
Jacqueline Lim - Dengue Vaccine Initiative
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DVI Field Studies in 4 Focal Countries<br />
<strong>Jacqueline</strong> <strong>Lim</strong><br />
kalim@ivi.int<br />
<strong>Dengue</strong> <strong>Vaccine</strong> <strong>Initiative</strong> (DVI)<br />
International <strong>Vaccine</strong> Institute, Seoul, Korea
DVI plans<br />
Field site studies conducted in 4 likely early<br />
adopter countries of dengue vaccine<br />
Colombia (Medellin) Brazil (Salvador)<br />
Thailand (Bang Phae) Vietnam (Nha Trang)<br />
DVI plans to develop sound evidence for<br />
decision-making to inform policy makers on<br />
dengue vaccine introduction for developing<br />
countries by conducting field studies in these 4<br />
‘focal’ countries
Rationale for site selection<br />
High levels of dengue virus transmission<br />
Stable population with low rates of migration and<br />
high rates of ethnic homogeneity<br />
Easy accessibility<br />
Excellent level of health services<br />
Motivated and committed local dengue control<br />
officers and provincial public health officials for<br />
dengue research<br />
Population size matching the sample size<br />
calculated for the catchment area
DVI 4 “focal” countries<br />
Population size 68 million 88 millio<br />
n<br />
% pop below Nat'l p<br />
overty line<br />
Thailand Vietnam Colombia Brazil<br />
14%<br />
(1998)<br />
Study region Ratchaburi<br />
(Bang Pha<br />
e)<br />
Catchment area po<br />
pulation<br />
Documented incide<br />
nce in Nat'l surveilla<br />
nce<br />
29%<br />
(2002)<br />
Nha Tra<br />
ng<br />
45 million 192 millio<br />
n<br />
64%<br />
(1999)<br />
22%<br />
(2003)<br />
Medellin Salvador<br />
49.506 38,989 56,977 10,842<br />
0.6 - 1.8/1,<br />
000<br />
0.7 - 1.2/<br />
1,000<br />
2.1/1,000 4.5/1,000
Thailand & Colombia<br />
To generate solid, high-quality data on the<br />
dengue disease burden among children and<br />
adults in a defined geographical area<br />
To provide a complete package of evidence to<br />
build a national investment case for dengue<br />
vaccine<br />
To be used as a model for other early-adopting<br />
countries of dengue vaccine in the respective<br />
regions to facilitate accelerated development and<br />
introduction of safe and effective dengue<br />
vaccines into public sector programs
Basic study information<br />
Study Area with census and<br />
mapping<br />
(Catchment of study facility)<br />
Serosurvey<br />
Fever surveillance<br />
(cases ascertained from<br />
the facility)<br />
- Cost of illness<br />
Study Facility<br />
2,000<br />
2,000<br />
50,000<br />
Other random sampling:<br />
1. Healthcare utilization survey<br />
2. Willingness-to-Pay
Census data of the study area<br />
For baseline demographic information of the<br />
residents of the study area, existing census<br />
and geographical data available at the subdistrict<br />
health centers will be abstracted<br />
In Nha Trang, Nagasaki Univ. is conducting<br />
a study and just completed the census for<br />
the city in 2010<br />
For Colombia, census data are available
Passive fever surveillance<br />
<strong>Dengue</strong> high transmission starts in June (Thailand)<br />
and Sept/Oct (Colombia)<br />
Protocol submitted to the Ethics Review Committees<br />
of Thai MoPH & Mahidol Univ.<br />
Thai protocol being modified for Colombia<br />
Study subjects: patients between 1 and 55 years of<br />
age who present to the study facility with current<br />
fever or history of fever (
Passive fever surveillance<br />
Acute sample of blood - taken when the patient<br />
first visits the hospital with fever<br />
Convalescent sample – subject is asked to return<br />
to hospital for a convalescent sample collection<br />
between 10-14 days from the first visit<br />
Active follow-up - after the 14th day, if the patient<br />
has not come to the hospital, phone calls or a<br />
house visit will be made and the second blood<br />
sample will be collected within 21 days from the<br />
first visit
Surveillance lab-testing<br />
Acute blood sample will be tested using<br />
NS-1(rapid; compensation for enrolled subjects) and<br />
ELISA dengue IgM/IgG and JE IgM/IgG<br />
Convalescent blood sample will be tested<br />
IgM/IgG ELISA<br />
Positive samples by IgM or NS-1 or rising of IgG<br />
(about 15% of the tested samples) will be tested with<br />
RT-PCR
Serological survey<br />
2000 randomly selected residents of the study<br />
area between 1 and 55 years of age<br />
To calculate sero-conversion rate of the catchment<br />
population<br />
To reflect the age distribution of the dengue<br />
infection in Thailand, 60% of the serological<br />
survey sample will come from children < 15 yearsof-age<br />
and 40% will be from adults 15 - 55 years<br />
of age<br />
Use IgG to test blood samples with an interval of 6<br />
months<br />
Use PRNT among those samples with increased<br />
IgG
Cost-of-illness study<br />
To estimate the economic burden of dengue for<br />
individuals and families, both from dengue illness and<br />
from dengue avertive activities and the cost to society<br />
for dengue treatment, including subsidies for<br />
treatment in public facilities<br />
- To estimate the direct medical, direct non-medical,<br />
and indirect costs associated with dengue fever in all<br />
dengue confirmed cases<br />
- To assess the duration of dengue fever and whether<br />
households have to borrow money as a result of the<br />
illness<br />
- Interview schedule: day 0 – day10/14 – day 28
Cost-of-illness study<br />
To assess the government expenditure on<br />
dengue vector control/prevention activities<br />
- The cost of treating dengue fever at the<br />
facility level & vector control costs - estimated<br />
from operational records (at the district or<br />
province-level data)<br />
The patient survey data will be linked to their<br />
hospital treatment record to estimate the full<br />
cost of disease
Willingness-to-pay survey<br />
Cost-of-illness analyses are complimentary with<br />
clinical and epidemiological approaches to disease<br />
burden estimation. Willingness-to-pay estimates<br />
provide additional quantification of the private<br />
benefit of disease reduction.<br />
Based on 400 randomly selected households of the<br />
study area<br />
To inform policy makers of the need, demand for,<br />
and feasibility of providing a vaccine against<br />
dengue infection
Willingness-to-pay survey<br />
To estimate private household benefits of a<br />
dengue vaccine and assess socioeconomic<br />
characteristics that influence vaccine demand,<br />
including income, education, and household size<br />
Two components:<br />
1) qualitative rapid assessments conducted in<br />
one-time single semi-structured open-ended<br />
interviews of community residents, community<br />
leaders, and health care providers &<br />
2) quantitative household surveys
Willingness-to-pay survey<br />
Data collected in the following domains:<br />
- Quantitative estimates of private demand<br />
- Quantitative estimates of the societal cost per dengue<br />
case<br />
- Perceptions of severity, vulnerability, and causes of<br />
dengue<br />
- Healthcare utilization pattern in the population in relation<br />
to dengue fever<br />
- Knowledge, attitudes, and behaviors in relation to current<br />
interventions and programs for prevention of dengue fever<br />
- Knowledge and attitudes regarding vaccination and past<br />
vaccination programs
Healthcare utilization survey<br />
Based on the same 400 randomly selected<br />
households of the study area as the WTP survey<br />
To characterize how the healthcare utilization<br />
pattern differs between fever cases and non-fever<br />
cases, as well as dengue and non-dengue cases<br />
To estimate the proportion of resident that would not<br />
seek care at the study facility<br />
To identify the preference of healthcare service in<br />
case of febrile illness/dengue fever
Data analysis I<br />
Incidence of symptomatic dengue infection from the<br />
hospital-based surveillance data<br />
Sero-conversion rate – to estimate the occurrence of<br />
asymptomatic dengue infection<br />
Epidemiology of symptomatic and asymptomatic<br />
(silent infection) dengue virus infections by age and<br />
serotype<br />
Clinical profile of individuals with dengue infection by<br />
severity of the disease (severe vs. non-severe) and<br />
the type of treatment (IPD and OPD)<br />
Comparison to the national surveillance data to<br />
estimate the level of under-reporting
Data analysis II<br />
Direct and indirect cost-of-illness of the dengueconfirmed<br />
cases that sought care at the facility<br />
The economic burden by the treatment type<br />
(hospitalized vs. outpatients), severity grade of<br />
dengue, and age-group<br />
The national-level cost for vector control to the<br />
government<br />
Private household demand for dengue vaccine from<br />
statistical models that include the price offered and<br />
household characteristics including education,<br />
income, perceived dengue risk and perceived<br />
dengue severity amongst other variables
<strong>Lim</strong>itations<br />
Underestimation of incidence of symptomatic<br />
dengue - the community residents with<br />
relevant symptoms seeking care from other<br />
healthcare providers and facilities than the<br />
facility under surveillance<br />
<strong>Lim</strong>ited generalizability of the data collected<br />
from these studies using randomized subsamples<br />
of the catchment area population
Acknowledgements<br />
DVI staff and advisors<br />
International <strong>Vaccine</strong> Institute<br />
Partners in DVI consortium<br />
Our collaborators in the focal countries<br />
- Faculty of Trop Med in Mahidol Univ.<br />
- National Institute of Hygiene and<br />
Epidemiology, Hanoi<br />
- Khanh Hoa Health Services<br />
- University of Antioquia<br />
- Brazilian Ministry of Health