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Research
Cholera risk in Lusaka: A geospatial analysis to inform improved water and sanitation provisionUrbanization combined with climate change are exacerbating water scarcity for an increasing number of the world’s emerging cities. Water and sanitation infrastructure, which in the first place was largely built to cater only to a small subsector of developing city populations, is increasingly coming under excessive strain.
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A modelling approach to estimate the transmissibility of SARS-CoV 2 during periods of high, low, and zero case incidenceAgainst a backdrop ofwidespread global transmission, a number of countries have successfully brought large outbreaks of COVID-19 under control and maintained near-elimination status. A key element of epidemic response is the tracking of disease transmissibility in near real-time. During major out-breaks, the effective reproduction number can be estimated froma time-series of case, hospitalisation or death counts. In low or zero incidence settings, knowing the potential for the virus to spread is a response priority.

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Sophisticated new modelling suggests keeping mask mandate could prevent 147,000 COVID-19 casesWA’s current Omicron COVID-19 outbreak could jump by 147,000 cases if mask mandates are abandoned before the Easter long weekend, according to sophisticated new modelling.

Research
Modelling the COVID pandemic with the Geographical COVID-19 Model (GEO-COV)Researchers have developed a new model for simulating covid-19 outbreaks in Western Australia.
Research
Trends in treatment-seeking for fever in children under five years old in 151 countries from 1990 to 2020Access to medical treatment for fever is essential to prevent morbidity and mortality in individuals and to prevent transmission of communicable febrile illness in communities. Quantification of the rates at which treatment is accessed is critical for health system planning and a prerequisite for disease burden estimates.
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Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018Human immunodeficiency virus and acquired immune deficiency syndrome (HIV/AIDS) is still among the leading causes of disease burden and mortality in sub-Saharan Africa (SSA), and the world is not on track to meet targets set for ending the epidemic by the Joint United Nations Programme on HIV/AIDS (UNAIDS) and the United Nations Sustainable Development Goals (SDGs).
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The Prevalence of HIV Infection in Minority Indigenous Populations of the South-East Asia and Western Pacific Regions: A Systematic Review and Meta-analysisA random effects meta-analysis was used to estimate the pooled prevalence of HIV infection within minority indigenous populations of the South-East Asia (SEAR) and Western Pacific Regions (WPR). Sub-group analyses were conducted, and the sources of heterogeneity explored through meta-regression. The majority of studies were undertaken in high HIV risk subpopulations.
Research
A novel statistical framework for exploring the population dynamics and seasonality of mosquito populationsUnderstanding the temporal dynamics of mosquito populations underlying vector-borne disease transmission is key to optimizing control strategies. Many questions remain surrounding the drivers of these dynamics and how they vary between species-questions rarely answerable from individual entomological studies (that typically focus on a single location or species).
Research
Risk factors associated with unsuccessful tuberculosis treatment outcomes in Hunan Province, ChinaGlobally, China has the third highest number of tuberculosis (TB) cases despite high rates (85.6%) of effective treatment coverage. Identifying risk factors associated with unsuccessful treatment outcomes is an important component of maximising the efficacy of TB control programmes.
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A fractional land use change model for ecological applicationsBy mapping land use under projections of socio-economic change, ecological changes can be predicted to inform conservation decision-making. We present a land use model that enables the fine-scale mapping of land use change under future scenarios. Its predictions can be used as input to virtually all existing spatially-explicit ecological models.