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The economic and social development of nations relies on their population having physical access to services and employment opportunities. For the vast majority of the 3.4 billion people living in rural areas, this largely depends on their access to urban centers of different sizes.
Globally, there have been calls for an integrated zoonotic disease surveillance system. This study aimed to assess human and animal health surveillance systems to identify opportunities for One Health surveillance platform in Tanzania.
Our Child Health Analytics Team uses cutting-edge technologies to better understand how and why the health and wellbeing of children varies from place to place. We develop innovative geospatial methods that can harness large, complex datasets to pinpoint hotspots of elevated risk, evaluate change through time, and explore underlying drivers.
Honorary Team Member
Adam Punam Susan Saddler Amratia Rumisha PhD PhD PhD (Biostatistics) Senior Research Officer Honorary Research Associate Honorary Research Associate
Punam Susan Tasmin Amratia Rumisha Symons PhD PhD (Biostatistics) Honorary Research Associate Honorary Research Associate Honorary Research Associate
Punam Susan Tasmin Amratia Rumisha Symons PhD PhD (Biostatistics) Honorary Research Associate Honorary Research Associate Honorary Research Associate
Researchers have developed a new model for simulating covid-19 outbreaks in Western Australia.
The COVID-19 pandemic has led to far-reaching disruptions to health systems, including preventative and curative services for malaria. The aim of this study was to estimate the magnitude of disruptions in malaria case management in sub-Saharan Africa and their impact on malaria burden during the COVID-19 pandemic. We used survey data collected by the World Health Organization, in which individual country stakeholders reported on the extent of disruptions to malaria diagnosis and treatment.
Low socioeconomic status (SES), high temperature, and increasing rainfall patterns are associated with increased dengue case counts. However, the effect of climatic variables on individual dengue virus (DENV) serotypes and the extent to which serotype count affects the rate of severe dengue in Mexico have not been studied before.