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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

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