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Stay-at-home orders significantly associated with reduced spread of COVID-19, study finds

A recent study published in the Journal of Infectious Diseases found that stay-at-home orders significantly slowed the spread of COVID-19 in the United States. The study analyzed data from 45 states with stay-at-home orders and found an average doubling time increase of 12.27 days, indicating significant slowing of disease spread.

SourceBrown University·JournalThe Journal of Infectious Diseases·DateAug 12, 2020

PLOS Special Collection: Successful approaches to HIV care

The special collection highlights RWHAP's strategies for improving HIV care, including pre-exposure prophylaxis (PrEP), data analysis, and collaborative efforts. HRSA's program serves over half a million people in the US annually, achieving high viral suppression rates.

SourcePLOS·JournalPLOS Medicine·DateAug 3, 2020

Livestock expansion is a factor in global pandemics

Research shows a correlation between epidemics in humans and local biodiversity loss, with the number of epidemics increasing as endangered species disappear. Livestock expansion worldwide exacerbates this risk, facilitating the transmission of pathogens.

SourceCNRS·JournalBiological Conservation·DateJul 24, 2020

Scientists chart SARS-CoV-2 origin and transmission in Brazil, harboring one of fastest growing COVID-19 epidemics in the world

Scientists charted SARS-CoV-2 transmission in Brazil, revealing that non-pharmaceutical interventions were insufficient to control the spread. The study found over 100 internationally-sourced virus introductions from Europe and estimates that more than 75% of Brazilian strains fell under three clades introduced during a specific period.

Early government intervention is key to reducing the spread of COVID-19

A new study published in Frontiers in Medicine found that early government intervention was crucial in limiting the spread of COVID-19 cases in Hunan province, China. The research team used a modified SIR model to compare infection trends between Hunan and Italy, finding that early measures reduced infection rates by up to 70%.

SourceFrontiers·JournalFrontiers in Medicine·DateMay 5, 2020

The Lancet: Modelling study estimates impact of relaxing control measures on possible second wave of COVID-19 in China

A modelling study suggests that relaxing control measures in regions outside Hubei province could lead to a second wave of COVID-19 infection, with cases potentially exceeding 1 and resulting in higher health and economic loss. The study advises policymakers to fine-tune control measures using real-time monitoring of transmissibility a...

SourceThe Lancet·JournalThe Lancet·DateApr 8, 2020

Is the coronavirus outbreak of unnatural origins?

A modified Grunow-Finke assessment tool (mGFT) has been validated against previous outbreaks, outlining 11 criteria for determining if an outbreak is of unnatural origin. The tool helps identify unusual strain patterns, genetic manipulation, and peculiar geographic distribution, indicating potential artificial origin.

SourceSociety for Risk Analysis·JournalRisk Analysis·DateMar 26, 2020

The Lancet Public Health: Modelling study estimates impact of physical distancing measures on progression of COVID-19 epidemic in Wuhan

Researchers estimate that extending school and workplace closures in Wuhan until April would delay a second wave of cases until later in the year, relieving pressure on health services. Physical distancing measures are likely to be most effective if staggered return to work commences at the beginning of April.

SourceThe Lancet·JournalThe Lancet Public Health·DateMar 25, 2020

Something in the water

A Brazilian study found that consuming contaminated water with saxitoxin worsens Zika neurotoxicity, tripling cell mortality and causing microcephaly-like malformations. This research highlights the public health problem of low water quality in the Northeast region, exacerbating the effects of arbovirus diseases.

SourceD'Or Institute for Research and Education·JournalPLOS Neglected Tropical Diseases·DateMar 12, 2020

WHO underestimates the spread of the coronavirus

Researchers at Umeå University reviewed 12 studies on coronavirus transmissibility, finding it to be significantly higher than WHO estimates. The reproduction number calculated from these studies ranges from 2.79 to 3.28, indicating a high risk of rapid spread.

SourceUmea University·JournalJournal of Travel Medicine·DateFeb 14, 2020

APS tip sheet: Predicting epidemics' speed

Scientists have developed a new model to predict the speed of epidemics in networks, providing insights into the trajectory and rate of global spread. The analysis assesses each node's likelihood of infection by a certain time, enabling more accurate forecasting of epidemic dynamics.

SourceAmerican Physical Society·JournalPhysical Review Letters·DateFeb 10, 2020

New metrics needed to evaluate and combat HIV epidemics in the US

A commentary published in the American Journal of Public Health argues that existing metrics are insufficient to track the public health response to HIV in the US. Newer metrics are needed to inform and evaluate efforts aimed at reducing new HIV infections by 75% and 90% over the next five and ten years, respectively.

SourceCUNY Graduate School of Public Health and Health Policy·JournalAmerican Journal of Public Health·DateDec 17, 2019

Chronic disease prevention could ease opioid crisis

A study from the University of Georgia found that over 90% of opioid-related hospitalizations are among patients with two or more chronic diseases, highlighting the association between chronic disease and opioid misuse. Researchers argue that prioritizing chronic disease prevention could alleviate the opioid epidemic.

SourceUniversity of Georgia·JournalPreventing Chronic Disease·DateDec 5, 2019

Forecasting dengue: Challenges and a way forward

A team of scientists has developed new ways to forecast dengue infections by combining disease and climate data. The project aimed to predict maximum weekly cases, the week of peak cases, and total season cases, but models still struggle to accurately predict epidemics.

SourceHokkaido University·JournalProceedings of the National Academy of Sciences·DateNov 11, 2019

Testing HIV testers

A new study from the University of Pennsylvania School of Nursing used a mystery shopper methodology to evaluate the quality of HIV/STI testing services for young men who have sex with men. The results showed variable performance across cities and testing sites, emphasizing the need to improve these services.

Snail habitats and schistosomiasis transmission

Researchers used drone and satellite imagery to map snail habitats in the Lower Senegal River Basin, finding that non-emergent vegetation was a stronger predictor of human infection than host snail counts. Removing this vegetation may benefit snail control efforts, reducing schistosomiasis transmission risk near human water-contact sites.

SourceProceedings of the National Academy of Sciences·JournalProceedings of the National Academy of Sciences·DateOct 28, 2019