3 results
Conservation agriculture effects on yield and profitability of rice-based systems in the Eastern Indo-Gangetic Plain
- Md. Ariful Islam, Richard W. Bell, Chris Johansen, M. Jahiruddin, Md. Enamul Haque, Wendy Vance
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- Journal:
- Experimental Agriculture / Volume 58 / 2022
- Published online by Cambridge University Press:
- 11 August 2022, e33
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Sustaining productivity of the rice-based cropping systems in the Eastern Indo-Gangetic Plain (EIGP) requires practices to reverse declining soil fertility resulting from excessive tillage and crop residue removal, while decreasing production costs and increasing farm profits. We hypothesize that the adoption of conservation agriculture (CA), involving minimum tillage, crop residue retention and crop rotation, can address most of these challenges. Therefore, the effects of crop establishment methods – strip planting (SP), bed planting (BP) and conventional tillage (CT); and levels of crop residue retention – high residue (HR) and low residue (LR) on individual crop yield, system yield and profitability were evaluated in a split-plot design over three cropping seasons in two field experiments (Alipur and Digram sites) with contrasting crops and soil types in the EIGP. The SP and BP of non-rice crops were rotated with non-puddled rice establishment; CT of non-rice crops was rotated with puddled transplanted rice. In the legume-dominated system (rice-lentil-mung bean), lentil yields were similar in SP and CT, while lower in BP in crop season 1. A positive effect of high residue over low residue was apparent by crop season 2 and persisted in crop season 3. In crop season 3, the lentil yield increased by 18–23% in SP and BP compared to CT. In the cereal-dominated system (rice-wheat-mung bean), significant yield increases of wheat in SP and BP (7–10%) over CT, and of HR (1–3%) over LR, were detected by crop season 3 but not before. Rice yields under CA practices (non-puddled and HR) were comparable with CT (puddled and LR) in both systems. Improved yield of lentil and wheat with CA was correlated with higher soil water content. The net income of SP increased by 25–28% for dry season crops as compared to CT and was equal with CT for rice cropping systems. Conservation agriculture practices provide opportunities for enhancing crop yield and profitability in intensive rice-based systems of the EIGP of Bangladesh.
Core Elements of a State HAI/AR Program With Emphasis on Partnership Networks
- Cecilia Joshi, Elizabeth Mothershed, Wendy Vance, Anita McLees, Margaret Paek, Adina de Coteau, Salina Paragini, Rhea Shah, Sruthi Meka
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- Journal:
- Infection Control & Hospital Epidemiology / Volume 41 / Issue S1 / October 2020
- Published online by Cambridge University Press:
- 02 November 2020, pp. s181-s182
- Print publication:
- October 2020
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Background: There is a critical need for comprehensive and effective healthcare- associated infection and antibiotic resistance (HAI/AR) programs in the United States. Since 2009, the CDC has funded and engaged public health, healthcare, academic, community, corporate, federal, and other stakeholders to develop effective HAI programs that rely upon such these stakeholders for success. State and local public health programs play a central role in these programs because they bridge healthcare and the community. They may regulate and assess facilities, collect and validate data on infections, and implement prevention programs. Myriad other state, federal, and privately supported stakeholders play essential roles. CDC is developing a framework for highly effective state HAI/AR programs that describes core program elements and can be used as a strategic tool, both in day to day processes and in a public health crisis, such the COVID-19 response. Program elements may include engaged leaders and champions, reliable data for action, effective policies, evaluation, program innovation, communications, and partner networks. This presentation describes a success framework for developing and leveraging HAI/AR partner networks to achieve and sustain their capacities and impact.
Methods: CDC collected qualitative data in select states and combined with expert opinion to draft core elements for success among a network of partners working to achieve HAI/AR and COVID-19 response and prevention in states. The core elements serve as a foundation for the framework. Ongoing analyses will inform refinement of the core elements and framework. The CDC is gathering stakeholders’ input on the framework for applicability and usability in states, with the goal of national implementation. Results: Currently, data indicate the following core elements for partner networks: leadership, strategy and structure; policies; innovation and adaptability; implementation; expertise and resources; communications; and monitoring and evaluation. The framework includes a process for partner network development and sustenance, maturity levels, and supporting tools. States have reported support for core elements and agreed that a success framework is beneficial to achieving core elements. Multiple states have reported support for a process that includes building partner networks and clearly defining roles, as a critical step toward full implementation of Program core elements. Conclusions: A framework for building high-level strategy and competency in partner networks has never been developed for HAI/AR programs. Effective partner networks represent an essential core element of a comprehensive state HAI/AR program. This framework could be applied to a variety of programs and public health contexts, increasing the effectiveness of partner networks.
Funding: None
Disclosures: None
Extending the Use of Healthcare-Associated Infections and Antibiotic Use and Resistance Surveillance Data
- Muzna Mirza, Lauren Wattenmaker, Odion Clunis, Wendy Vance, Shunte Moon, Daniel Pollock
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- Journal:
- Infection Control & Hospital Epidemiology / Volume 41 / Issue S1 / October 2020
- Published online by Cambridge University Press:
- 02 November 2020, p. s233
- Print publication:
- October 2020
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Background: The CDC National Healthcare Safety Network (NHSN) is the nation’s most widely used healthcare-associated infection (HAI) and antibiotic use and resistance (AUR) surveillance system. More than 22,000 healthcare facilities report data to the NHSN. The NHSN data are used by facilities, the CDC, health departments, the CMS, among other organizations and agencies. In 2017, the CDC updated the NHSN Agreement to Participate and Consent (Agreement), completed by facilities, broadening health department access to NHSN data and extending eligibility for data use agreements (DUAs) to local and territorial health departments. DUAs enable access to NHSN data reported by facilities in the health department’s jurisdiction and have been available to state health departments since 2011. The updated agreement also enables the CDC to provide NHSN data to health departments for targeted prevention projects outbreak investigations and responses. Methods: We reviewed the current NHSN DUA inventory to assess the extent to which health departments use the NHSN’s new data access provisions and used semistructured interviews with health department staff, conducted via emails, phone, and in person conversations, to identify and describe their NHSN data uses. Results: As of late 2019, the NHSN has DUAs with health departments in 17 states, 7 local health departments (including municipalities and counties), and 1 US territory. The NHSN also has received requests from 2 state health departments for data supporting HAI prevention projects. Health departments with DUAs described improved relationships with facilities in their jurisdictions because of new opportunities to offer NHSN data analysis assistance to facilities. One local health department analyzed their NHSN carbapenem-resistant Enterobacteriaceae (CRE) data to identify (1) facilities in its jurisdiction with comparatively high CRE infection burden and (2) geographic areas to target for a CRE isolate submission program. Outreach to facilities with high CRE burden led to enrollment of 15 clinical laboratories into a voluntary isolate submission program to analyze CRE isolates for additional characterization. Examples of health departments’ use of data for action include: notifying facilities with high standardized infection ratios (SIRs) and sharing Targeted Assessment for Prevention (TAP) reports. Conclusions: The NHSN’s role as a shared surveillance resource has expanded in multiple public health jurisdictions as a result of new data access provisions. Health departments are using NHSN data in their programmatic responses to HAI and AR challenges. New access to NHSN data is enabling public health jurisdictions to assess problems and opportunities, provide guidance for prevention projects, and support program evaluations.
Funding: None
Disclosures: None