UOA10-04: Influencing Indian Government policy through mathematical modelling the HIV/AIDS epidemic in India
Submitting Institution
University of OxfordUnit of Assessment
Mathematical SciencesSummary Impact Type
HealthResearch Subject Area(s)
Medical and Health Sciences: Public Health and Health Services
Summary of the impact
Research at Oxford University directly influenced Indian Government
policy through its projections of the population of HIV/AIDS sufferers in
India under several possible strategic interventions. It formed a central
part of the policy documents and presentations of the Indian National AIDS
Control Programme (NACP) Planning Team, and was presented to Indian
Government officials in 2006 in order to plan the third phase of the
control programme, NACP III (2006-2011). The projected HIV/AIDS
populations then served as a reference for mid-term evaluations of NACP
III in 2009. The study was used to measure the impact of the intervention
programs, and acted as a source of reference during the planning of the
next phase, NACP IV (2012-17).
Underpinning research
After two phases of AIDS control activities in India, the third phase,
NACP III, was launched in July 2007. Professor Philip Maini, permanent
faculty member of the Mathematical Institute, University of Oxford since
1990, was a key member of an international multidisciplinary research team
who developed a mathematical model [1] with the purpose of predicting the
number of people living with HIV/AIDS in India to assist the NACP III
planning team in determining appropriate strategies for targeting groups
during the project period.
As part of the planning of NACP III, Dr Arni Rao (Indian Statistical
Institute, Kolkata) was commissioned by members of the NACP Planning Team
to provide predictions of the effectiveness of various HIV/AIDS
strategies. To complement existing statistical approaches, Dr Rao visited
Prof Maini at Oxford University's Centre for Mathematical Biology who
provided the necessary mathematical modelling capability for the programme
[1]. An example of the results from this modelling is given in Figure 1.
The research involved constructing dynamical models which capture the
mixing patterns between susceptibles and infectives in both low-risk and
high-risk groups in the population. The aim was to project forward the HIV
estimates by taking into account general interventions for susceptibles,
targeted interventions among high risk groups, the provision of
anti-retroviral therapy, and behaviour change among HIV-positive
individuals. The standard compartmental model framework was extended and
adapted to account for possible interactions between different categories
of risk behaviour amongst male and females, sex workers, intravenous drug
users, and blood transfusion recipients. The resulting system of coupled
nonlinear ordinary differential equations was extensively analysed by
numerical simulation and validated against existing data for disease
spread in various states in India. The model parameters were determined by
various means including literature searches, fitting of submodels to
specific data, and de-convolution methods. A sensitivity analysis of the
parameters was also carried out. The model was then interrogated to
compare the effects of different control and intervention strategies. The
model projections based on the NACP II and III scenarios indicated that
prevention programmes which were directed towards the general and
high-risk populations, as well as HIV-positive individuals, would be key
in determining the decline or stabilization of the epidemic.
References to the research
*[1] Rao, A.S.R.S., Thomas, K., Sudhakar, K. and Maini, P.K. (2009),
HIV/Aids epidemic in India and predicting the impact of the national
response: mathematical modeling and analysis. Mathematical Biosciences
& Engineering 6, 4, pp. 779-813. doi:
10.3934/mbe.2009.6.779
The asterisked output best indicates the quality of the underpinning
research. Mathematical Biosciences & Engineering is an international
refereed journal.
Details of the impact
The impact of the research falls into the category of better informed
public policy-making and the beneficiaries are the Indian Government and
people living with HIV/AIDS in India.
The HIV epidemic has been evolving in India since the first detected case
in 1986 and India is among the top three countries in the world in terms
of HIV burden. As a result, there has been sustained activity from the
Indian Government to implement effective control and prevention
strategies. From 1998 to 2005 the number of people living with HIV/AIDS
rose from an estimated 3.5 million to 5.206 million with significant
variations from state to state. After two initial stages of control
activities, NACP III was launched in 2006 for a 5 year period with the
goal of reducing new infections by 60-80 percent in different regions in
India.
Pathway from Research to Impact:
The research carried out by Maini and his colleagues had a direct impact
on the Indian Government strategy for NAPC III. One of the novel features
of the modelling approach was to incorporate the effects of preventive
measures on people already infected with HIV. For example, the modelling
showed that treatment with anti-retroviral therapy could actually increase
HIV prevalence because it would prolong the life of those infected with
HIV, potentially leading to them passing on the disease. The research
considered a number of levels of future responses which were being
proposed by the Indian Government, and made predictions about the number
of people living with HIV/AIDS in each case.
Maini helped to formulate the model and to lay down the plan of model
validation and interrogation, and then assisted in the interpretation of
results. In particular two figures (3 and 6) and tabular data in [1] were
used for the Strategy and Implementation Plan [A] (and appear explicitly
as figures 2.4 and 2.7 in that document) as part of the NACP III for the
period 2007-12. Figure 2.7 in [A] is shown above as Figure 1. Through
collaborations during the period 2005-2012 Maini's role was pivotal in
extending the model building to enable further strategies to be considered
which accounted for variations in behaviour on a district level [B], and
the effects of anti-retroviral therapy [A], in addition to the published
work [1]. A member of the NACP III and IV planning teams (and co-author of
[1]) reports [C] that "The output of these models were used extensively
in finalizing the implementation plans for the country. [...] We
are grateful to Professor Maini and Dr Rao for their continued
assistance in guiding these policy decisions and their contribution to
enabling scenarios to be assessed and results to be evaluated and help
those working in these difficult areas".
In addition to presentation directly into the NACP the research work was
circulated more widely into Indian AIDS prevention activities [eg D,E]. It
was presented at a collaborative meeting between the Indian Clinical
Epidemiology Network, a network of academic health care researchers across
135 Medical colleges/Institutions in India, and the Indian Statistical
Institute, Kolkata, which was providing technical assistance to NACP. It
also formed part of a Capacity Building Workshop on Operations Research in
HIV/AIDS for the Northeast States during September 2010. The research was
further disseminated through activities of the Postgraduate Institute of
Medical Education and Research School of Public Health, first at a
Technical meeting in June/July 2009, and then in their School of Public
Health Impact Study in June 2010, and also at the Indian Council for
Medical Research Institute in Kolkata in December 2009.
The direct impact of the research was facilitated by two of the
co-authors of [1] who were members of the NACP III planning team. The work
formed the cornerstone of documents and presentations produced by this
team, including predictions directly from the paper [1], forming a central
element of the Strategy and Implementation Plan [A].
Nature and Extent of the Impact
One of the key outcomes from the research was to influence the
recommendation in the Strategy and Implementation Plan [A] based around
the groups modelled as high risk, specifically commercial sex workers,
injecting drug users and men having sex with men. In 2007, the model
projections indicated that, should the interventions of NACP II be
continued, there would be 2.08 million people living with HIV/AIDS by the
end of 2011. This value is very close to the data for 2011 released by the
Indian Ministry of Health in 2012 showing the number of people living with
HIV/AIDS was 2,088,642. Subsequently the model predictions helped inform
the mid-term review of the NACP III plan initiated by the National AIDS
Control Organisation (NACO) of the Ministry of Health in 2009. The
mathematical model predictions, including using the model to predict AIDS
levels at a district level [B], exploited data collected by the NACO from
May 2009 until the beginning of 2011. These predictions were presented in
2011 [F] to the Director General of NACO and the Heads of Department and
then to the NACO All Stake Holder meeting, and served as a source of
reference in developing the follow-on programme NACP IV (2012-17). In
particular, a member of the NACP planning team at the time (and co-author
of [1]) reports [C] that "This model was used in quantifying the
benefit and impact of different intervention of NACP lll in 2009 and
prioritizing the programs for NACP lV during 2012. Different scenarios
were considered and presented by the team at meetings of relevant lndian
Government Health Department ministers with great effect. As a
consequence of this input government decided to extend full support for
the program during the next 5 years in spite of pressure from many
quarters to scale down the interventions due to competing priorities.
Resulting policy proved that the planned interventions to be [sic] very
effective with AIDS prevalence in India reducing from 23.95 lakh
[hundred thousand] in 2009 to current level of 20.89 lakh."
The success of this modelling study has resulted in Dr Rao being invited
to serve on the planning team for AIDS policy for the fourth phase
(2012-2017). Maini, who serves the planning team as a consultant,
continues to provide crucial input in relation to model formulation and
papers presented to government.
Sources to corroborate the impact
[A] National AIDS Control Programme, Phase III 2006 - 2011: Strategy and
Implementation Plan (2006), which can be found at:
http://aidsdatahub.org/dmdocuments/India_Strategy_and_Implementation_Plan_NACO_Programme_PhaseIII_2006_2011.pdf.pdf
Copy held by the University of Oxford.
[B] District Level Mathematical Modeling of HIV/AIDS in Tamil Nadu,
September 2010, submitted to Project Director, AIDS Prevention and Control
Project, The Voluntary Health Services, Taramani, Chennai 600113, INDIA.
Copy held by the University of Oxford.
[C] Letter from a Member of the NACP III and IV Planning Teams (and
co-author of paper [1], current Director of Research at the Oman Medical
Speciality Board) confirming the pathway to impact and the significance.
Copy held by the University of Oxford .
[D] Copy of email from the National AIDS Control Organisation to Dr Rao
requesting he presents the model and its results to the "Dissemination on
HIV/AIDS Research 19-21 Jan 2011", held by the University of Oxford.
[E] Copy of email inviting Dr Rao to attend the Advisory Committee
Meeting of India Impact Study at NACO on 1 Oct 09, held by the University
of Oxford.
[F] Powerpoint presentation by one of the authors of [1] to the Director
General of the National AIDS Control Organisation and the Heads of
Department, and to the National AIDS Control Organisation All Stake Holder
meeting while preparing for NACP IV. Copy held by the University of
Oxford.