Health Security is a major concern for the Democratic Republic of the Congo (DRC). It is the second largest country in Africa, borders nine other countries, has more than 80 million inhabitants, and has suffered from decades of neglect and conflicts together with multiple recurrent disease outbreaks, including Ebola.

In the public health portfolio of disaster tools, rapid needs assessments are essential intelligence data mining resources that can assess immediate needs in almost all hazard scenarios. Following prolonged and unusual seismic activity that caused significant structural damage, mainly in the southwest part of the island of Puerto Rico, thousands of area residents were forced to leave their homes and establish improvised camps. The austere environmental exposure and limited access to safety and hygiene services prompted public health authorities to request assistance with conducting a rapid needs assessment of those encampments. This report summarizes the design, organization, and execution of a rapid needs assessment of improvised camps following a strong sequence of earthquakes in Puerto Rico.

In the last 5 years, the international community has developed an extensive set of tools to assess, plan, and monitor global health security capacity. More than 100 countries have carried out a Joint External Evaluation (JEE)1 to assess capacity in 19 key areas, and more than 70 countries developed a 5-year National Action Plan for Health Security (NAPHS)2 as part of the International Health Regulations Monitoring and Evaluation Framework (IHR MEF).3,4 Annual updates have been reported by most countries using the State Party Self-Assessment Annual Reporting (SPAR) tool,5,6 and several dozen countries have summarized their resource situation using the REMAP (Resource Mapping) tool.7 In retrospect, some of these efforts seem to have done more to burden than empower countries to prevent, detect, and respond to health emergencies more effectively.1 In practice we have found that: | | A NAPHS often takes months or years to develop, wasting valuable momentum and personnel time without improving implementation | | Many NAPHS list hundreds of activities but do not effectively set priorities or identify roles, responsibilities, or next-step actions | | The listed activities often are more aspirational than actionable, going far beyond resource or absorption capacity, and do not take sustaining those capacities into account

Background: Those responding to humanitarian crises have an ethical imperative to respond most where the need is greatest. Metrics are used to estimate the severity of a given crisis. The INFORM Severity Index, one such metric, has become widely used to guide policy makers in humanitarian response decision making. The index, however, has not undergone critical statistical review. If imprecise or incorrect, the quality of decision making for humanitarian response will be affected. This analysis asks, how precise and how well does this index reflect the severity of conditions for people affected by disaster or war? Results: The INFORM Severity Index is calculated from 35 publicly available indicators, which conceptually reflect the severity of each crisis. We used 172 unique global crises from the INFORM Severity Index database that occurred January 1 to November 30, 2019 or were ongoing by this date. We applied exploratory factor analysis (EFA) to determine common factors within the dataset. We then applied a second-order confirmatory factor analysis (CFA) to predict crisis severity as a latent construct. Model fit was assessed via chi-square goodness-of-fit statistic, Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), and Root Mean Square Error of Approximation (RMSEA). The EFA models suggested a 3- or 4- factor solution, with 46% and 53% variance explained in each model, respectively. The final CFA was parsimonious, containing three factors comprised of 11 indicators, with reasonable model fit (Chi-squared=107, with 40 degrees of freedom, CFI=0.94, TLI=0.92, RMSEA=0.10). In the second-order CFA, the magnitude of standardized factor-loading on the 'societal governance' latent construct had the strongest association with the latent construct of 'crisis severity' (0.73), followed by the 'humanitarian access/safety' construct (0.56). Conclusion(s): A metric of crisis-severity is a critical step towards improving humanitarian response, but only when it reflects real life conditions. Our work is a first step in refining an existing framework to better quantify crisis severity. Copyright The copyright holder for this preprint is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

On 5 May 2023, the WHO declared an end to the designation of COVID-19 as a public health emergency of international concern.1 While COVID-19 remains a threat to health, the world is ready to move forward from a disease that has dominated life for the past three years. Now is the time to assess whether the commitments made to ‘build back better’2 will incorporate learning from diverse country experiences of responding to COVID-19 and its wider system consequences, and increase the resilience of all countries to future public health challenges. | | Health expenditures and life expectancy in most of the world rose between 2000 and 2019; however, the onset of the pandemic resulted in significant and prolonged disruption to essential health services, delaying progress and even reversing gains in life expectancy. This lack of resilience stems from chronic underfunding of public health capacities, even in relatively advanced economies.3 It is these preventive and promotive public health capacities both within and beyond the health system that are essential if we wish to reduce health risks and the impact of shock events like COVID-19, and thus reduce the burden on secondary and tertiary care that occurs when public health systems fail. Increased mortality and morbidity from non-COVID-related causes were seen in many countries,4 with an estimated 15 million excess deaths associated with the COVID-19 pandemic in 2020 and 2021 alone.5 6 The impact on livelihoods and society has also exacerbated social inequities and negatively impacted on mental health,7 while misinformation has undermined trust in health services.8

OBJECTIVES: To assess infant breastfeeding initiation and any breastfeeding at 8 weeks and safe sleep practices (back sleep position, approved sleep surface, and no soft objects or loose bedding ["soft bedding"]) by select paternal characteristics among a state-representative sample of fathers with new infants. METHODS: Pregnancy Risk Assessment Monitoring System (PRAMS) for Dads, a novel population-based cross-sectional study, surveyed fathers in Georgia 2-6 months after their infant's birth. Fathers were eligible if the infant's mother was sampled for maternal PRAMS from October 2018 to July 2019. RESULTS: Of 250 respondents, 86.1% reported their infants ever breastfed and 63.4% reported breastfeeding at 8 weeks. Initiation and breastfeeding at 8 weeks were more likely to be reported by fathers who reported wanting their infant's mother to breastfeed than those who did not want her to breastfeed or had no opinion (adjusted prevalence ratio [aPR] = 1.39; 95% confidence interval [CI], 1.15-1.68; aPR = 2.33; 95% CI, 1.59-3.42, respectively) and fathers who were college graduates than those with ≤high school diploma (aPR = 1.25; 95% CI, 1.06-1.46; aPR = 1.44; 95% CI, 1.08-1.91, respectively). Although about four-fifths (81.1%) of fathers reported usually placing their infants to sleep on their back, fewer fathers report avoiding soft bedding (44.1%) or using an approved sleep surface (31.9%). Non-Hispanic Black fathers were less likely to report back sleep position (aPR = 0.70; 95% CI, 0.54-0.90) and no soft bedding (aPR = 0.52; 95% CI, 0.30-0.89) than non-Hispanic white fathers. CONCLUSIONS: Fathers reported suboptimal infant breastfeeding rates and safe sleep practices overall and by paternal characteristics, suggesting opportunities to include fathers in promotion of breastfeeding and infant safe sleep.

Global health requires evidence-based approaches to improve health and decrease inequalities. In a roundtable discussion between health practitioners, funders, academics and policy-makers, we recognised key areas for improvement to deliver better-informed, sustainable and equitable global health practices. These focus on considering information-sharing mechanisms and developing evidence-based frameworks that take an adaptive function-based approach, grounded in the ability to perform and respond to prioritised needs. Increasing social engagement as well as sector and participant diversity in whole-of-society decision-making, and collaborating with and optimising on hyperlocal and global regional entities, will improve prioritisation of global health capabilities. Since the skills required to navigate drivers of pandemics, and the challenges in prioritising, capacity building and response do not sit squarely in the health sector, it is essential to integrate expertise from a broad range of fields to maximise on available knowledge during decision-making and system development. Here, we review the current assessment tools and provide seven discussion points for how improvements to implementation of evidence-based prioritisation can improve global health.

OBJECTIVE: The impact of the COVID-19 pandemic goes beyond morbidity and mortality from that disease. Increases in maternal mortality have also been described but have not been extensively studied to date. This study aimed to examine changes in maternal mortality and identify correlates and predictors of excess maternal mortality in Colombia during the pandemic. SETTING: Analysis of data from the national epidemiological surveillance databases of Colombia (Sivigila). PARTICIPANTS: Deaths among 6342 Colombian pregnant women who experienced complications associated with pregnancy, childbirth or the perperium during 2008-2020 were included in this study. For inequalities analysis, a subsample of 1055 women from this group who died in 2019 or 2020 years were analysed. METHODS: We collected data from the national surveillance system (Sivigila) on maternal mortality. Analysis was carried out in two stages, starting with a time series modelling using the Box-Jenkins approach. Data from Sivigila for 2008-2019 were used to establish a baseline of expected mortality levels. Both simple and complex inequality metrics, with the maternal mortality ratios (MMRs), were then calculated using the Multidimensional Poverty Index as a socioeconomic proxy. RESULTS: Maternal deaths in 2020 were 12.6% (95% CI -21.4% to 95.7%) higher than expected. These excess deaths were statistically significant in elevation for the months of July (97.4%, 95% CI 35.1% to 250.0%) and August (87.8%, 95% CI 30.5% to 220.8%). The MMR was nearly three times higher in the poorest municipalities compared with the most affluent communities in 2020. CONCLUSIONS: The COVID-19 pandemic had considerable impact on maternal health, not only by leading to increased deaths, but also by increasing social health inequity. Barriers to access and usage of essential health services are a challenge to achieving health-related Sustainable Development Goals.

BACKGROUND: Those responding to humanitarian crises have an ethical imperative to respond most where the need is greatest. Metrics are used to estimate the severity of a given crisis. The INFORM Severity Index, one such metric, has become widely used to guide policy makers in humanitarian response decision making. The index, however, has not undergone critical statistical review. If imprecise or incorrect, the quality of decision making for humanitarian response will be affected. This analysis asks, how precise and how well does this index reflect the severity of conditions for people affected by disaster or war? RESULTS: The INFORM Severity Index is calculated from 35 publicly available indicators, which conceptually reflect the severity of each crisis. We used 172 unique global crises from the INFORM Severity Index database that occurred January 1 to November 30, 2019 or were ongoing by this date. We applied exploratory factor analysis (EFA) to determine common factors within the dataset. We then applied a second-order confirmatory factor analysis (CFA) to predict crisis severity as a latent construct. Model fit was assessed via chi-square goodness-of-fit statistic, Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), and Root Mean Square Error of Approximation (RMSEA). The EFA models suggested a 3- or 4- factor solution, with 46 and 53% variance explained in each model, respectively. The final CFA was parsimonious, containing three factors comprised of 11 indicators, with reasonable model fit (Chi-squared = 107, with 40 degrees of freedom, CFI = 0.94, TLI = 0.92, RMSEA = 0.10). In the second-order CFA, the magnitude of standardized factor-loading on the 'societal governance' latent construct had the strongest association with the latent construct of 'crisis severity' (0.73), followed by the 'humanitarian access/safety' construct (0.56). CONCLUSIONS: A metric of crisis-severity is a critical step towards improving humanitarian response, but only when it reflects real life conditions. Our work is a first step in refining an existing framework to better quantify crisis severity.

Suboptimal nutrition is a leading cause of illness, healthcare spending and lost productivity, predominantly from diet-related chronic diseases but also from undernutrition1,2. These burdens are not evenly distributed, contributing to health disparities affecting people who have lower income, are less educated and are members of minority ethnic groups, who more often have poor diets, hunger and related diseases.

BACKGROUND: For this study, the authors examined whether specific programmatic factors were associated with the sustainability of patient navigation programs. METHODS: This cross-sectional survey explored navigation programmatic factors associated with 3 measures of sustainability: 1) length of program existence, 2) reliance on sustainable funding, and 3) participation in alternative payment models. In total, 750 patient navigators or program administrators affiliated with oncology navigation programs in clinical-based and community-based settings completed the survey between April and July 2019. RESULTS: Associations were observed between both accreditation and work setting and measures of program sustainability. Accredited programs and larger, more resourced clinical institutions were particularly likely to exhibit multiple measures of sustainability. The results also identified significant gaps at the programmatic level in data collection and reporting among navigation programs, but no association was observed between programmatic data collection/reporting and sustainability. CONCLUSIONS: Navigation is not currently a reimbursable service and has historically been viewed as value-added in oncology settings. Therefore, factors associated with sustainability are critical to understand how to build a framework for successful navigation programs within the current system and also to develop the case for potential reimbursement in the future.

BACKGROUND: Becoming a father impacts men's health and wellbeing, while also contributing to the health and wellbeing of mothers and children. There is no large-scale, public health surveillance system aimed at understanding the health and behaviors of men transitioning into fatherhood. The purpose of this study was to describe piloted randomized approaches of a state-based surveillance system examining paternal behaviors before and after their infant's birth to better understand the health needs of men and their families during the transition to parenthood. METHODS: During October 2018-July 2019, 857 fathers in Georgia were sampled 2-6 months after their infant's birth from birth certificates files and surveyed via mail, online or telephone, in English or Spanish, using two randomized approaches: Indirect-to-Dads and Direct-to-Dads. Survey topics included mental and physical health, healthcare, substance use, and contraceptive use. FINDINGS: Weighted response rates (Indirect-to-Dads, 33%; Direct-to-Dads, 31%) and population demographics did not differ by approach. Respondents completed the survey by mail (58%), online (28%) or telephone (14%). Among 266 fathers completing the survey, 55% had a primary care physician, and 49% attended a healthcare visit for themselves during their infant's mother's pregnancy or since their infant's birth. Most fathers were overweight or had obesity (70%) while fewer reported smoking cigarettes (19%), binge drinking (13%) or depressive symptoms (10%) since their infant's birth. CONCLUSIONS: This study tests a novel approach for obtaining population-based estimates of fathers' perinatal health behaviors, with comparable response rates from two pragmatic approaches. The pilot study results quantify a number of public health needs related to fathers' health and healthcare access.

Objectives. To examine associations of workplace leave length with breastfeeding initiation and continuation at 1, 2, and 3 months. Methods. We analyzed 2016 to 2018 data for 10 sites in the United States from the Pregnancy Risk Assessment Monitoring System, a site-specific, population-based surveillance system that samples women with a recent live birth 2 to 6 months after birth. Using multivariable logistic regression, we examined associations of leave length (< 3 vs ≥ 3 months) with breastfeeding outcomes. Results. Among 12 301 postpartum women who planned to or had returned to the job they had during pregnancy, 42.1% reported taking unpaid leave, 37.5% reported paid leave, 18.2% reported both unpaid and paid leave, and 2.2% reported no leave. Approximately two thirds (66.2%) of women reported taking less than 3 months of leave. Although 91.2% of women initiated breastfeeding, 81.2%, 72.1%, and 65.3% of women continued breastfeeding at 1, 2, and 3 months, respectively. Shorter leave length (< 3 months), whether paid or unpaid, was associated with lower prevalence of breastfeeding at 2 and 3 months compared with 3 or more months of leave. Conclusions. Women with less than 3 months of leave reported shorter breastfeeding duration than did women with 3 or more months of leave. (Am J Public Health. Published online ahead of print October 21, 2021:e1-e10. https://doi.org/10.2105/AJPH.2021.306484).

The COVID-19 pandemic raises fundamental questions about the appropriateness of the International Health Regulations and the effectiveness of the Joint External Evaluation (JEE) for strengthening global health security. | In the wake of COVID-19, revision of JEE tool should be based on an understanding of the purpose, use and limitations of the measurement tool. | Successfully strengthening the tool will necessitate countries to take action on the results of the assessment as well as addressing certain strategic, technical and operational considerations in the next edition of the tool.

Decreased use of health care services (1), increased exposure to occupational hazards, and higher rates of substance use (2) might contribute to men's poorer health outcomes when compared with such outcomes for women (3). During the transition to fatherhood, paternal health and involvement during pregnancy might have an impact on maternal and infant outcomes (4-6). To assess men's health-related behaviors and participation in fatherhood-related activities surrounding pregnancy, the Puerto Rico Department of Health and CDC analyzed data from the paternal survey of the Pregnancy Risk Assessment Monitoring System-Zika Postpartum Emergency Response (PRAMS-ZPER)* study. Fewer than one half (48.3%) of men attended a health care visit for themselves in the 12 months before their newborn's birth. However, most fathers attended one or more prenatal care visits (87.2%), were present at the birth (83.1%), and helped prepare for the newborn's arrival (e.g., by preparing the home [92.4%] or purchasing supplies [93.9%]). These findings suggest that opportunities are available for public health messaging directed toward fathers during the perinatal period to increase attention to their own health and health behaviors, and to emphasize the role they can play in supporting their families' overall health and well-being.

Nigeria is working to protect against and respond more effectively to disease outbreaks. Quick mobilization and control of the Ebola epidemic in 2014, at least 4 major domestic outbreaks each year, and significant progress toward polio eradication led to adoption of the World Health Organization's Global Health Security Joint External Evaluation (JEE) and National Action Plan for Health Security (NAPHS). The process required joint assessment and planning among many agencies, ministries, and sectors over the past 2 years. We carried out a JEE of 19 core programs in 2017 and launched a detailed NAPHS to improve prevention, detection, and response in December 2018, which required us to create topic-specific groups to document work to date and propose JEE scores. We then met with an international team for 5 days to review and revise scoring and recommendations, created a 5-year implementation plan, developed a management team to oversee implementation, drafted legislation to manage outbreaks, trained professionals at state and local levels of government, and set priorities among the many possible activities recommended. Management software and leadership skills were developed to monitor global health security programs. We learned to use international assistance strategically to strengthen planning and mentor national staff. Finally, a review of every major disease outbreak was used to prepare for the next challenge. Review and adaptation of this plan each year will be critical to ensure sustained momentum and progress. Many low-income countries are skilled at managing vertical disease control programs. Balancing and combining the 19 core activities of a country's public health system is a more demanding challenge.

OBJECTIVES: Paternal involvement is associated with improved infant and maternal outcomes. We compared maternal behaviors associated with infant morbidity and mortality among married women, unmarried women with an acknowledgment of paternity (AOP; a proxy for paternal involvement) signed in the hospital, and unmarried women without an AOP in a representative sample of mothers in the United States from 32 sites. METHODS: We analyzed 2012-2015 data from the Pregnancy Risk Assessment Monitoring System, which collects site-specific, population-based data on preconception, prenatal and postpartum behaviors, and experiences from women with a recent live birth. We calculated adjusted prevalence ratios (aPRs) and 95% confidence intervals (CIs) to examine associations between level of paternal involvement and maternal perinatal behaviors. RESULTS: Of 113 020 respondents (weighted N = 6 159 027), 61.5% were married, 27.4% were unmarried with an AOP, and 11.1% were unmarried without an AOP. Compared with married women and unmarried women with an AOP, unmarried women without an AOP were less likely to initiate prenatal care during the first trimester (married, aPR [95% CI], 0.94 [0.92-0.95]; unmarried with AOP, 0.97 [0.95-0.98]), ever breastfeed (married, 0.89 [0.87-0.90]; unmarried with AOP, 0.95 [0.94-0.97]), and breastfeed at least 8 weeks (married, 0.76 [0.74-0.79]; unmarried with AOP, 0.93 [0.90-0.96]) and were more likely to use alcohol during pregnancy (married, 1.20 [1.05-1.37]; unmarried with AOP, 1.21 [1.06-1.39]) and smoke during pregnancy (married, 3.18 [2.90-3.49]; unmarried with AOP, 1.23 [1.15-1.32]) and after pregnancy (married, 2.93 [2.72-3.15]; unmarried with AOP, 1.17 [1.10-1.23]). CONCLUSIONS: Use of information on the AOP in addition to marital status provides a better understanding of factors that affect maternal behaviors.

To date more than 100 countries have carried out a Joint External Evaluation (JEE) as part of their Global Health Security programme. The JEE is a detailed effort to assess a country's capacity to prevent, detect and respond to population health threats in 19 programmatic areas. To date no attempt has been made to determine the validity of these measures. We compare scores and commentary from the JEE in three countries to the strengths and weaknesses identified in the response to a subsequent large-scale outbreak in each of those countries. Relevant indicators were compared qualitatively, and scored as low, medium or in a high level of agreement between the JEE and the outbreak review in each of these three countries. Three reviewers independently reviewed each of the three countries. A high level of correspondence existed between score and text in the JEE and strengths and weaknesses identified in the review of an outbreak. In general, countries responded somewhat better than JEE scores indicated, but this appears to be due in part to JEE-related identification of weaknesses in that area. The improved response in large measure was due to more rapid requests for international assistance in these areas. It thus appears that even before systematic improvements are made in public health infrastructure that the JEE process may assist in improving outcomes in response to major outbreaks.

As Father’s Day approaches each June, the nation pauses to reflect on the importance of fathers. In the United States, approximately 60% of American men are fathers, 82% of whom live with at least one of their children.1 Over the past few decades, we have learned that paternal involvement is strongly associated with better prenatal and postnatal maternal health and with improved developmental outcomes for children.2 A number of key indicators demonstrate the influence fathers have on perinatal maternal and child health,3 including improvements in first trimester prenatal care initiation, infant morbidity and mortality, and breastfeeding initiation and continuation. Although fathers’ involvement in families is increasing, there has been limited research on how fatherhood affects the health and well-being of fathers themselves, especially around the time of the transition into fatherhood. In particular, surveillance efforts examining new fathers’ behaviors and attitudes remain suboptimal. Expectant fathers’ preconception health is a newly emerging area of research focused on measuring the health of men during their reproductive years, a key tenet of men’s health.4

The 2014-2016 Ebola virus disease epidemic in West Africa highlighted challenges faced by the global response to a large public health emergency. Consequently, the US Centers for Disease Control and Prevention established the Global Rapid Response Team (GRRT) to strengthen emergency response capacity to global health threats, thereby ensuring global health security. Dedicated GRRT staff can be rapidly mobilized for extended missions, improving partner coordination and the continuity of response operations. A large, agencywide roster of surge staff enables rapid mobilization of qualified responders with wide-ranging experience and expertise. Team members are offered emergency response training, technical training, foreign language training, and responder readiness support. Recent response missions illustrate the breadth of support the team provides. GRRT serves as a model for other countries and is committed to strengthening emergency response capacity to respond to outbreaks and emergencies worldwide, thereby enhancing global health security.

Background: Humanitarian assistance is designated to save lives and alleviate suffering among people affected by disasters. In 2014, close to 25 billion USD was allocated to humanitarian assistance, more than 80% of it from governmental donors and EU institutions. Most of these funds are devoted to Complex Emergencies (CE). It is widely accepted that the needs of the affected population should be the main determinant for resource allocations of humanitarian funding. However, to date no common, systematic, and transparent system for needs-based allocations exists. In an earlier paper, an easy-to-use model, “the 7eed model”, based on readily available indicators that distinguished between levels of severity among disaster-affected countries was presented. The aim of this paper is to assess the usefulness of the 7eed model in regards to 1) data availability, 2) variations between CE effected countries and sensitivity to change over time, and 3) reliability in capturing severity and levels of need. Method: We applied the 7eed model to 25 countries with CE using data from 2013 to 2015. Data availability and indicator value variations were assessed using heat maps. To calculate a severity score and a needs score, we applied a standardised mathematical formula, based on the UTSTEIN template. We assessed the model for reliability on previous CEs with a “known” outcome in terms of excess mortality. Results: Most of the required data was available for nearly all countries and indicators, and availability increased over time. The 7eed model was able to discriminate between levels of severity and needs among countries. Comparison with historical complex disasters showed a correlation between excess mortality and severity score. Conclusion: Our study indicates that the proposed 7eed model can serve as a useful tool for setting funding levels for humanitarian assistance according to measurable levels of need. The 7eed model provides national level information but does not take into account local variations or specific contextual factors.

BACKGROUND: Disasters affect close to 400 million people each year. Complex Emergencies (CE) are a category of disaster that affects nearly half of the 400 million and often last for several years. To support the people affected by CE, humanitarian assistance is provided with the aim of saving lives and alleviating suffering. It is widely agreed that funding for this assistance should be needs-based. However, to date, there is no model or set of indicators that quantify and compare needs from one CE to another. In an effort to support needs-based and transparent funding of humanitarian assistance, the aim of this study is to develop a model that distinguishes between levels of severity among countries affected by CE. METHODS: In this study, severity serves as a predictor for level of need. The study focuses on two components of severity: vulnerability and exposure. In a literature and Internet search we identified indicators that characterize vulnerability and exposure to CE. Among the more than 100 indicators identified, a core set of six was selected in an expert ratings exercise. Selection was made based on indicator availability and their ability to characterize preexisting or underlying vulnerabilities (four indicators) or to quantify exposure to a CE (two indicators). CE from 50 countries were then scored using a 3-tiered score (Low-Moderate, High, Critical). RESULTS: The developed model builds on the logic of the Utstein template. It scores severity based on the readily available value of four vulnerability and four exposure indicators. These are 1) GNI per capita, PPP, 2) Under-five mortality rate, per 1 000 live births, 3) Adult literacy rate, % of people ages 15 and above, 4) Underweight, % of population under 5 years, and 5) number of persons and proportion of population affected, and 6) number of uprooted persons and proportion of population uprooted. CONCLUSION: The model can be used to derive support for transparent, needs-based funding of humanitarian assistance. Further research is needed to determine its validity, the robustness of indicators and to what extent levels of scoring relate to CE outcome.

The US Centers for Disease Control and Prevention, UNICEF, and WHO, with support from the Office of Foreign Disaster Control, trained 50 staff from Syrian and Jordanian ministries of health and other organisations working in and around Syria in May, 2013, in Jordan. A third of Syria's 21 million people are now displaced from their homes.1 Most of the north of Syria is rebel-held territory and local administration is no longer directed by the national administration. | Patients have flooded into several hospitals in neighbouring countries, where Islamic charities are subsidising care. Some 850 camps are known to the Syrian Government, which attempts to supply them with essential goods. People living in these camps are vulnerable. The nascent network of opposition-led health services is neither supplied nor organised enough to respond to the needs. In some areas where both government and opposition are absent, local non-governmental organisations have formed to provide protection and care. Their main concern is a near dearth of medicines in these areas.

Diabetes has steadily increased in prevalence, becoming one of the nation’s most challenging public health threats (1). Prevalence among adults is now more than 10%, and diabetes is the leading cause of nontraumatic lower-extremity amputation, end-stage kidney disease, and blindness; it more than doubles the risk of heart disease, stroke, and disability (1,2). Strong clinical trial evidence indicates that much of the illness caused by diabetes is preventable, further positioning diabetes as a public health priority (3,4) and stimulating a national emphasis on the quality of diabetes care and self-management (5–7). Although many such efforts have been successful, leading to better care, risk factor control, and reduced risk of complications, new challenges have arisen. The increases in obesity and in diabetes incidence demand that health systems and communities apply primary prevention strategies at the population level while simultaneously tackling the pervasive geographic and socioeconomic disparities in diabetes prevalence, care, and complications that remain (8,9). | Compared to the long list of clinical best practices to prevent diabetes complications, the evidence base is thin for population- and policy-level approaches to improve health behaviors, access to and delivery of care and preventive services, and the healthful attributes of communities. This imbalance of evidence calls for a new platform of public health research for diabetes. We contend that the imbalance can be corrected by a greater emphasis on natural experiments: rigorously designed quasi-experimental studies to investigate the health effects of naturally occurring population- and policy-level approaches emanating from health systems, communities, business organizations, and governments.

Human health has improved more in our lifetimes than it did in the preceding thousand years. Since 1970, the number of infants who die has decreased by more than half worldwide, and maternal mortality has fallen dramatically in virtually every region of the world. Facing today's enormous global health challenges, we often lose sight of such advances. Health has improved for several reasons. First and foremost, economic growth improves people's life chances. In 1970, close to half the world's population lived in extreme poverty; now one in seven people lives in poverty. More people have access to clean water, immunizations, and basic health services because of the work of governments, charitable groups including faith-based organizations, international organizations, the private sector, and public and private development assistance. Wider dissemination of information and increasing citizen participation make it possible for many lower-income people to make better-informed decisions about their health.

OBJECTIVE: To determine whether all-cause and cardiovascular disease (CVD) death rates declined between 1997 and 2006, a period of continued advances in treatment approaches and risk factor control, among U.S. adults with and without diabetes. RESEARCH DESIGN AND METHODS: We compared 3-year death rates of four consecutive nationally representative samples (1997-1998, 1999-2000, 2001-2002, and 2003-2004) of U.S. adults aged 18 years and older using data from the National Health Interview Surveys linked to National Death Index. RESULTS: Among diabetic adults, the CVD death rate declined by 40% (95% CI 23-54) and all-cause mortality declined by 23% (10-35) between the earliest and latest samples. There was no difference in the rates of decline in mortality between diabetic men and women. The excess CVD mortality rate associated with diabetes (i.e., compared with nondiabetic adults) decreased by 60% (from 5.8 to 2.3 CVD deaths per 1,000) while the excess all-cause mortality rate declined by 44% (from 10.8 to 6.1 deaths per 1,000). CONCLUSIONS: Death rates among both U.S. men and women with diabetes declined substantially between 1997 and 2006, reducing the absolute difference between adults with and without diabetes. These encouraging findings, however, suggest that diabetes prevalence is likely to rise in the future if diabetes incidence is not curtailed.