Community Building for Children’s Health: Lessons From Community Partnerships for Healthy Children

· This article describes Community Partnerships for Healthy Children (CPHC), a 10-year, $17 million initiative of the Sierra Health Foundation targeted at improving children’s health in northern California by mobilizing communities to use their assets. Implementation grants were modest ($50,000 annually), but technical assistance and communications support were also provided. · The initiative rolled out in four phases. Overall, a total of 31 communities participated in the initiative. Twenty-six communities remained through phase three, with 18 engaging in the final fourth phase. · Evidence indicates that CPHC improved the health of some children in some communities with regard to some outcomes, but did not improve the health of children at the population level. Community building appears to be well-suited to devising and implementing successful strategies to address straightforward health issues in the short term; more time, resources, and expertise are needed for more complex problems. · The community collaboratives achieved many of the intermediate goals of the initiative. The evidence is strong that communities did identify and respond to needs. · Most of the collaboratives on their own had access to few resources initially, but over time they were able to gather fiscal and human resources from a variety of sources and combine them to provide services such as recreation programs or family resource centers. Collaboratives involved in the final grant stage had been able to raise from other sources an amount nearly twice the foundation’s investment in CPHC. · The collaboratives were similar in role but differed in many other ways, such as the geographic scope and the existing assets. Collaboratives that had members with certain skills (such as grantwriting, public relations, and computer skills) had greater success

Colonial American Freemasonry and its Development to 1770

The purpose of this thesis is to examine the influence of Freemasonry as a social and cultural organization in the development of colonial America and the men who were active in the organization from its introduction to the colonies up to 1770. Since Freemasonry was the first fraternal organization established in the colonies, I wanted to see how, and if, it affected the attitudes and actions of its members during the pre-Revolutionary War years. In preparing this thesis, I worked closely with lodges and Grand Lodges throughout the country. My research included physical inspection of a variety of Masonic documents dating back to the 1730s, as well as the record books, reports, and addresses made by Masons of that period and Masonic scholars preceding me. Where possible, I have indicated a secondary source for information gained from archives and records of lodges and Grand Lodges that would not be readily accessible to a non-Mason. I found through my research that the lessons and teachings of Freemasonry had a varying effect on the development of colonial America. In some regions, where Masonic activity was significant, there appears to have been a greater influence by Freemasons on the development of the colony. In contrast, where Masonic activity was less evident, its direct and indirect effect was not as noticeable. I was able to conclude from my research that Freemasonry, as a social and fraternal organization, did influence the development of colonial America during the late colonial period

Clonal Selection and Population Dynamics of Vγ2/Vδ2 T Cells in Macaca Fascicularis

HIV infection increases the susceptibility to new M. tuberculosis (Mtb) infections, the risk of reactivating latent infections and the risk of rapid TB progression. γδ T cells, in particular the Vγ2Jγ1.2 subset, are thought to be part of the innate immune response to both HIV and Mtb. Importantly, both HIV and Mtb perturb gd T cells homeostasis, causing a profound and highly specific depletion of the Vγ2Jγ1.2 subset

Activated monocytes augment TRAIL-mediated cytotoxicity by human NK cells through release of IFN-gamma

Natural killer (NK) cells are innate lymphocytes that are able to directly kill tumor cells through different mechanisms including ligation of TNF-related apoptosis-inducing ligand (TRAIL) receptors. Zoledronic acid (ZA) is a bisphosphonate known to upregulate the expression of TRAIL on human γδ T cells. Here, we investigated whether exposure to ZA would upregulate TRAIL expression on human NK cells and augment their cytotoxicity against tumor cells. When cocultured with monocytes, treatment with ZA and IL-2 resulted in a significant upregulation of TRAIL expression on human NK cells (p = 0.002). Consequently, ZA-primed NK cells were significantly more cytotoxic against TRAIL sensitive tumor cells (p < 0.0001). In the presence of ZA and IL-2, monocytes produced high levels of IFN-γ; when cultured in the presence of neutralizing antibodies to IFN-γ, TRAIL expression and TRAIL-mediated cytotoxicity of NK cells were significantly reduced. Furthermore, in tumor-bearing SCID/Beige mice, a significant delayed tumor progression and prolonged survival was observed after infusion of ZA-primed NK cells compared with that observed in mice infused with unprimed NK cells. These findings represent a novel approach to potentiate TRAIL-mediated apoptosis by adoptively infused NK cells that could improve the outcome in patients with cancer.Swedish Research CouncilEuropean UnionManuscrip

Serving highly vulnerable families in home-visitation programs

Home-visitation programs for families with young children are growing in popularity in the US. These programs typically seek to prevent child abuse and neglect and/or promote optimal development for infants, toddlers, and/or preschool-age children. This paper focuses on improving the capacity of home-visitation programs to meet the complex needs of highly vulnerable families with young children. Poverty, maternal depression and substance abuse, and domestic violence are noted as factors that place young children at risk for poor outcomes. The challenges of providing home-visitation services to families in which these risk factors are present are discussed. Family engagement, matching services to families’ needs, and staff capabilities are highlighted as areas in which improvements can be made to enhance home-visitation programs’ capacity to serve highly vulnerable families. Recommendations are given for improving the effectiveness of home-visitation programs in serving these families, as well for addressing policy and research issues related to the further development and evaluation of these programs.First author draf

Correction for Johansson et al., An open challenge to advance probabilistic forecasting for dengue epidemics.

Correction for “An open challenge to advance probabilistic forecasting for dengue epidemics,” by Michael A. Johansson, Karyn M. Apfeldorf, Scott Dobson, Jason Devita, Anna L. Buczak, Benjamin Baugher, Linda J. Moniz, Thomas Bagley, Steven M. Babin, Erhan Guven, Teresa K. Yamana, Jeffrey Shaman, Terry Moschou, Nick Lothian, Aaron Lane, Grant Osborne, Gao Jiang, Logan C. Brooks, David C. Farrow, Sangwon Hyun, Ryan J. Tibshirani, Roni Rosenfeld, Justin Lessler, Nicholas G. Reich, Derek A. T. Cummings, Stephen A. Lauer, Sean M. Moore, Hannah E. Clapham, Rachel Lowe, Trevor C. Bailey, Markel García-Díez, Marilia Sá Carvalho, Xavier Rodó, Tridip Sardar, Richard Paul, Evan L. Ray, Krzysztof Sakrejda, Alexandria C. Brown, Xi Meng, Osonde Osoba, Raffaele Vardavas, David Manheim, Melinda Moore, Dhananjai M. Rao, Travis C. Porco, Sarah Ackley, Fengchen Liu, Lee Worden, Matteo Convertino, Yang Liu, Abraham Reddy, Eloy Ortiz, Jorge Rivero, Humberto Brito, Alicia Juarrero, Leah R. Johnson, Robert B. Gramacy, Jeremy M. Cohen, Erin A. Mordecai, Courtney C. Murdock, Jason R. Rohr, Sadie J. Ryan, Anna M. Stewart-Ibarra, Daniel P. Weikel, Antarpreet Jutla, Rakibul Khan, Marissa Poultney, Rita R. Colwell, Brenda Rivera-García, Christopher M. Barker, Jesse E. Bell, Matthew Biggerstaff, David Swerdlow, Luis Mier-y-Teran-Romero, Brett M. Forshey, Juli Trtanj, Jason Asher, Matt Clay, Harold S. Margolis, Andrew M. Hebbeler, Dylan George, and Jean-Paul Chretien, which was first published November 11, 2019; 10.1073/pnas.1909865116. The authors note that the affiliation for Xavier Rodó should instead appear as Catalan Institution for Research and Advanced Studies (ICREA) and Climate and Health Program, Barcelona Institute for Global Health (ISGlobal). The corrected author and affiliation lines appear below. The online version has been corrected

An open challenge to advance probabilistic forecasting for dengue epidemics

This is the final version. Available on open access from the National Academy of Sciences via the DOI in this recordData Availability: Data deposition: The data are available at https://github.com/cdcepi/dengue-forecasting-project-2015 (DOI: https://doi.org/10.5281/zenodo.3519270).A wide range of research has promised new tools for forecasting infectious disease dynamics, but little of that research is currently being applied in practice, because tools do not address key public health needs, do not produce probabilistic forecasts, have not been evaluated on external data, or do not provide sufficient forecast skill to be useful. We developed an open collaborative forecasting challenge to assess probabilistic forecasts for seasonal epidemics of dengue, a major global public health problem. Sixteen teams used a variety of methods and data to generate forecasts for 3 epidemiological targets (peak incidence, the week of the peak, and total incidence) over 8 dengue seasons in Iquitos, Peru and San Juan, Puerto Rico. Forecast skill was highly variable across teams and targets. While numerous forecasts showed high skill for midseason situational awareness, early season skill was low, and skill was generally lowest for high incidence seasons, those for which forecasts would be most valuable. A comparison of modeling approaches revealed that average forecast skill was lower for models including biologically meaningful data and mechanisms and that both multimodel and multiteam ensemble forecasts consistently outperformed individual model forecasts. Leveraging these insights, data, and the forecasting framework will be critical to improve forecast skill and the application of forecasts in real time for epidemic preparedness and response. Moreover, key components of this project-integration with public health needs, a common forecasting framework, shared and standardized data, and open participation-can help advance infectious disease forecasting beyond dengue