Quantities in the statistical model to estimate the probabilities of clinical illness (Model variant A1).

Quantities in the statistical model to estimate the probabilities of clinical illness (Model variant A1).

<p>Quantities in the statistical model to estimate the probabilities of clinical illness (Model variant A1).</p>

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Bibliografske podrobnosti
Glavni avtor:	Amanda Ross (187821) (author)
Drugi avtorji:	Cristian Koepfli (191306) (author), Lincoln Timinao (423264) (author), Diggory Hardy (179135) (author), Tobias Thüring (22404327) (author), Melanie Loeffel (12975790) (author), Benson Kiniboro (191309) (author), Ingrid Felger (92160) (author), Ivo Mueller (46609) (author)
Izdano:	2025
Teme:	Medicine Biotechnology Immunology Infectious Diseases Virology Computational Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified provide building blocks passive case detection papua new guinea major difficulty lies cohort despite accounting children aged one bayesian statistical model different seasonal patterns illness decayed exponentially ≥ 500 parasites later relapses within plasmodium vivax </ much lower depended increasing cumulative numbers primary infections experienced distinguish primary infections clinical illness using use varying assumptions itn use category illness following relapses div >< p vivax </ primary infections varying seasonally primary infection expected numbers different circumstances covariate category clinical cases stage infections recent infections cause illness stage parasites malaria parasites whether relapses three years stage infection reflect uncertainty people living month time mathematical models intervention strategies fortnightly active endemic areas earlier ones cumulative number contribute half circulating merozoites brood tended acquired immunity
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