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Fig 1.

Disease pathway incorporating population dynamics, vaccination, screening and treatment impact.

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Fig 1 Expand

Fig 2.

Stock-flow models of the Malaysian cervical cancer progression, segregated according to the different parts of the model.

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Fig 2 Expand

Fig 3.

Structural and behaviour validations of the main parameters in the model.

Note: MNCR = Malaysian National Cancer Registry.

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Fig 3 Expand

Table 1.

Description of scenarios and outcomes simulated.

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Table 1 Expand

Fig 4.

Impact of vaccination on year of elimination.

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Fig 4 Expand

Fig 5.

The simulated year of elimination based on different transition and screening expansion scenarios.

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Fig 5 Expand

Table 2.

The detailed costs, screening tests needed to perform, and differences in cervical cancer incidence based on different approaches.

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Table 2 Expand

Fig 6.

Projection of cervical cancer elimination comparing the screen-treat and combination with the screen-triage-treat approach.

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Fig 6 Expand