Gestational exposure to landscape fire smoke harms maternal health, especially in low and middle-income countries.

Mobile phone data reveal aspects of human mobility patterns in Sub-Saharan Africa missed by standard spatial models however, model estimates can be improved by accounting for trip urbanicity and region.

Well-coordinated, decisive, and collective actions remain critical to make screening programmes more equitable and resilient in the face of natural and geo-political calamities.

Vaccination activities that occurred before the COVID-19 pandemic, 2000-2019, are estimated to avert 50 million deaths, highlighting the enormous benefits of continued and improving vaccination.

Pollution from landscape fires, which are increasing with climate change, leads to babies being born with lower birthweights in low- and middle-income countries.

The burden of antimicrobial resistance in Thailand is deteriorating over time, and 19,122 deaths in the country in 2010 were excess deaths caused by multidrug-resistant bacterial infection.

Differences in patterns of social contact between settings have consequences for the spread and transmission of respiratory pathogens and the effectiveness of different measures aimed at their control.

An international effort is needed to overcome the paywalls, customs regulations and lack of local suppliers that hinder research in low- and middle-income countries.

Ending the TB epidemic requires scaling up access to new TB tools so that they can benefit the patients in low- and middle-income countries that need them the most.

A machine learning model could accurately estimate daily salt consumption in the general population and can be applied to countries lacking urine sample to compute the mean salt consumption at the population level.