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Matthew J. Ferrari

Researcher at Pennsylvania State University

Publications -  144
Citations -  5126

Matthew J. Ferrari is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Population & Measles. The author has an hindex of 35, co-authored 132 publications receiving 4029 citations. Previous affiliations of Matthew J. Ferrari include National Institutes of Health.

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The dynamics of measles in sub-Saharan Africa

TL;DR: It is shown that measles epidemics in Niger are highly episodic, particularly in the capital Niamey, and how increased vaccine coverage, but still below the local elimination threshold, could lead to increasingly variable major outbreaks in highly seasonally forced contexts.
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Assessment of the 2010 global measles mortality reduction goal: results from a model of surveillance data

TL;DR: Intensified control measures and renewed political and financial commitment are needed to achieve mortality reduction targets and lay the foundation for future global eradication of measles.
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Global patterns in seasonal activity of influenza A/H3N2, A/H1N1, and B from 1997 to 2005: viral coexistence and latitudinal gradients.

TL;DR: Key findings include patterns of large scale co-occurrence of influenza type A and B, interhemispheric synchrony for subtype A/H3N2, and latitudinal gradients in epidemic timing for type A.
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Explaining seasonal fluctuations of measles in Niger using nighttime lights imagery.

TL;DR: It is shown that measles seasonality can be explained by spatiotemporal changes in population density, which is measured by quantifying anthropogenic light from satellite imagery, and that measles transmission and population density are highly correlated for three cities in Niger.
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Reduced vaccination and the risk of measles and other childhood infections post-Ebola

TL;DR: There is a clear path to avoiding outbreaks of childhood vaccine-preventable diseases once the threat of Ebola begins to recede: an aggressive regional vaccination campaign aimed at age groups left unprotected because of health care disruptions.