Letters RESEARCH LETTER COVID-19 and Excess All-Cause Mortality in the US and 18 Comparison Countries The US has experienced more deaths from coronavirus disease 2019 (COVID-19) than any other country and has one of the highest cumulative per capita death rates. 1,2 An unanswered question is to what extent high US mortality was driven by the early surge of cases prior to improvements in prevention and patient management vs a poor longer-term response. 3 We compared US COVID-19 deaths and excess all-cause mortality in 2020 (vs 2015-2019) to that of 18 countries with diverse COVID-19 responses. Methods | We compared the US to Organisation for Economic Cooperation and Development countries with populations exceeding 5 million and greater than $25 000 per capita gross domestic product. For each country, we calculated the COVID-19

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The US COVID-19 Trends and Impact Survey (CTIS) is a large, cross-sectional, internet-based survey that has operated continuously since April 6, 2020. By inviting a random sample of Facebook active users each day, CTIS collects information about COVID-19 symptoms, risks, mitigating behaviors, mental health, testing, vaccination, and other key priorities. The large scale of the survey—over 20 million responses in its first year of operation—allows tracking of trends over short timescales and allows comparisons at fine demographic and geographic detail. The survey has been repeatedly revised to respond to emerging public health priorities. In this paper, we describe the survey methods and content and give examples of CTIS results that illuminate key patterns and trends and help answer high-priority policy questions relevant to the COVID-19 epidemic and response. These results demonstrate how large online surveys can provide continuous, real-time indicators of important outcomes that are not subject to public health reporting delays and backlogs. The CTIS offers high value as a supplement to official reporting data by supplying essential information about behaviors, attitudes toward policy and preventive measures, economic impacts, and other topics not reported in public health surveillance systems.

Over 20,000 rabies deaths occur annually in India, representing one-third of global human rabies. The Indian state of Tamil Nadu has pioneered a "One Health" committee to address the challenge of rabies in dogs and humans. Currently, rabies control in Tamil Nadu involves postexposure vaccination of humans after dog bites, whereas potential supplemental approaches include canine vaccination and sterilization. We developed a data-driven rabies transmission model fit to human rabies autopsy data and human rabies surveillance data from Tamil Nadu. Integrating local estimates for canine demography and costs, we predicted the impact of canine vaccination and sterilization on human health outcomes and evaluated cost-effectiveness according to the WHO criteria for India, which correspond to thresholds of $1,582 and $4,746 per disability-adjusted life-years (DALYs) for very cost-effective and cost-effective strategies, respectively. We found that highly feasible strategies focused on stray dogs, vaccinating as few as 7% of dogs annually, could very cost-effectively reduce human rabies deaths by 70% within 5 y, and a modest expansion to vaccinating 13% of stray dogs could cost-effectively reduce human rabies by almost 90%. Through integration over parameter uncertainty, we find that, for a cost-effectiveness threshold above $1,400 per DALY, canine interventions are at least 95% likely to be optimal. If owners are willing to bring dogs to central point campaigns at double the rate that campaign teams can capture strays, expanded annual targets become cost-effective. This case study of cost-effective canine interventions in Tamil Nadu may have applicability to other settings in India and beyond. mathematical modeling | cost-effectiveness | rabies | sterilization | vaccination

Prisoners bear much of the burden of the hepatitis C epidemic in the United States. Yet little is known about the scope and cost of treating hepatitis C in state prisons-particularly since the release of direct-acting antiviral medications. In the forty-one states whose departments of corrections reported data, 106,266 inmates (10 percent of their prisoners) were known to have hepatitis C on or about January 1, 2015. Only 949 (0.89 percent) of those inmates were being treated. Prices for a twelve-week course of direct-acting antivirals such as sofosbuvir and the combination drug ledipasvir/sofosbuvir varied widely as of September 30, 2015 ($43,418-$84,000 and $44,421-$94,500, respectively). Numerous corrections departments received smaller discounts than other government agencies did. To reduce the hepatitis C epidemic, state governments should increase funding for treating infected inmates. State departments of corrections should consider collaborating with other government agencies to negotiate discounts with pharmaceutical companies and with qualified health care facilities to provide medications through the federal 340B Drug Discount Program. Helping inmates transition to providers in the community upon release can enhance the gains achieved by treating hepatitis C in prison.

As the leading infectious cause of death worldwide and the primary proximal cause of death in those living with HIV, tuberculosis remains a global concern. Existing tuberculosis control strategies that rely on passive case-finding appear insufficient to achieve targets for reductions in tuberculosis incidence and mortality. Active case-finding strategies aim to detect infectious individuals earlier in their infectious period to reduce onward transmission and improve treatment

This paper synthesizes recent advances in the econometrics of difference-in-differences (DiD) and provides concrete recommendations for practitioners. We begin by articulating a simple set of "canonical" assumptions under which the econometrics of DiD are well-understood. We then argue that recent advances in DiD methods can be broadly classified as relaxing some components of the canonical DiD setup, with a focus on piq multiple periods and variation in treatment timing, piiq potential violations of parallel trends, or piiiq alternative frameworks for inference. Our discussion highlights the different ways that the DiD literature has advanced beyond the canonical model, and helps to clarify when each of the papers will be relevant for empirical work. We conclude by discussing some promising areas for future research.

Potential cost-effective barriers in cost-effectiveness studies mean that budgetary impact analyses should also be included in post-2015 Sustainable Development Goal projects says Joshua Salomon and colleagues.