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<p>Dear all,</p>
<p>On Thursday (11 October) at 2pm in <span class="event-where">54
/ 7035 (7B), we have an S3RI seminar from </span><span
class="event-where"><span class="event-description">Chigozie
Edson Utazi (University of Southampton)</span> on </span><span
class="event-where"><span class="event-description">"</span></span><span
class="event-where"><span class="event-description"><span
class="event-description"><span class="event-description"><span><span>Mapping
vaccination coverage to assess progress towards
disease elimination in low and middle income countries</span></span></span></span>".
Details are given below.<br>
</span></span></p>
<p><span class="event-where"><span class="event-description"><span><span
class="event-description">The seminar will also be
available via a live web-cast at</span></span></span></span><br>
<a class="moz-txt-link-freetext" href="https://coursecast.soton.ac.uk/Panopto/Pages/Viewer.aspx?id=3e410131-050f-42b4-aa9e-7b0f22df4d63">https://coursecast.soton.ac.uk/Panopto/Pages/Viewer.aspx?id=3e410131-050f-42b4-aa9e-7b0f22df4d63</a></p>
<p><span class="event-where"><span class="event-description"><span><span
class="event-description">The talk will be followed by tea
and cake in the staff reading room on level 4 of building
54. </span></span></span></span></p>
<p><span class="event-where"><span class="event-description"><span><span
class="event-description">All are welcome!</span></span></span></span></p>
<p><span class="event-where"><span class="event-description"><span>Best
wishes,</span></span></span></p>
<p><span class="event-where"><span class="event-description"><span>Helen</span></span></span></p>
<p><span class="event-where"><span class="event-description"><span><br>
</span></span></span></p>
<p><span class="event-where"><span class="event-description"><span></span></span></span><span>Mapping
vaccination coverage to assess progress towards disease
elimination in low and middle income countries
<p>Chigozie Edson Utazi, University of Southampton</p>
<p>Vaccination coverage is an important indicator used in
assessing the performance of immunization programs. However,
coverage levels and numbers covered are typically measured
through national statistics or at the scale of large regions.
These mask epidemiologically-important heterogeneities and
coldspots of low coverage that may allow diseases to persist,
even if overall coverage is high. Hence, to decrease
inequities and accelerate progress towards disease elimination
goals, fine-scale variation in coverage should be better
characterized.</p>
<p>In this talk, I will discuss Bayesian geostatistical methods
and data sets used in producing high-resolution maps of the
coverage of measles and diphtheria-tetanus-pertussis (DTP)
vaccinations for varying age groups of children under five
years in some priority countries. I will also present a novel
disaggregation approach for mapping vaccination coverage using
areal unit based data in settings where point-referenced data
are inaccessible.</p>
</span></p>
<br>
<span class="event-where"><span class="event-description"><span><span
class="event-description"><span> <span
class="event-description"> </span><span
class="event-description"><span
class="event-description">For the current schedule of
S3RI seminars, see <a class="moz-txt-link-freetext"
href="https://tinyurl.com/s3riseminar">https://tinyurl.com/s3riseminar</a>
</span></span></span></span></span></span></span><br>
<p><span class="event-where"><span class="event-description"><span><span
class="event-description"></span></span></span></span></p>
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