International Journal of Hygiene and Environmental Health

The dataset "Research-data" contains the data extraction sheet used for the systematic literature review titled "What drives antibiotic use in the community? A systematic review of compositional, contextual and collective determinants in the human outpatient sector". Four overarching categories in a purpose built standard data extraction form were created in Microsoft Excel: Authors, year, title, country, spatial scale, study population, study design, and methods; antibiotics investigated, type of data, classification and unit, and outcome variable; determinant, influence on antibiotic use, and statistical values; and general results, study limitations, and gaps identified.

Antibiotic and ARG concentrations in hospital wastewater, communal wastewater,the influent/effluent of the receiving WWTP as well as after on-site treatment of hospital wastewater (if applicable)

Source Data = original table

This datasheet contains antimicrobial resistance profiles, quantification data, and multi locus sequence typing of Stenotrophomonas maltophilia isolates from final effluent and receiving river samples of swine wastewater treatment plant

Disk diffusion results

While substantial progress has been made improving water and sanitation services in low- and middle-income countries, aligned basic services such as greywater, stormwater, and solid waste management have progressed little in recent decades. Data was collected in Khulna city, Bangladesh via a household survey (n=192) of low-income areas exploring domestic water use and greywater volumes, characteristics, and disposal practices. Most households (71%) use a piped water supply for domestic purposes, supplemented by seasonal rainwater harvesting (26%) and greywater use (13%). Of the total water used by households (mean: 594 L/household/day and equivalent to 116 L/person/day), approximately 58% becomes greywater through bathing, dishwashing, religious practices, handwashing, laundry, and mopping. Greywater produced ranges from 61-1,274 L/household/day, with a mean of 345 L/household/day and equivalent to 78.4 L/person/day. Greywater characteristics vary depending on the activity, individual behaviours and any products used during cooking, bathing, or cleaning. After generation, households dispose greywater to open drains (67%), nearby waterbodies (17%) directly to the ground (9%), or decentralised wastewater treatment system (7%). Without services for greywater management, greywater disposal may have considerable public and environmental health implications, necessitating careful attention and oversight from service-providers and stakeholders beyond the household-level.© the authors

While substantial progress has been made improving water and sanitation services in low- and middle-income countries, aligned basic services such as greywater, stormwater, and solid waste management have progressed little in recent decades. Data was collected in Khulna city, Bangladesh via a household survey (n=192) of low-income areas exploring domestic water use and greywater volumes, characteristics, and disposal practices. Most households (71%) use a piped water supply for domestic purposes, supplemented by seasonal rainwater harvesting (26%) and greywater use (13%). Of the total water used by households (mean: 594 L/household/day and equivalent to 116 L/person/day), approximately 58% becomes greywater through bathing, dishwashing, religious practices, handwashing, laundry, and mopping. Greywater produced ranges from 61-1,274 L/household/day, with a mean of 345 L/household/day and equivalent to 78.4 L/person/day. Greywater characteristics vary depending on the activity, individual behaviours and any products used during cooking, bathing, or cleaning. After generation, households dispose greywater to open drains (67%), nearby waterbodies (17%) directly to the ground (9%), or decentralised wastewater treatment system (7%). Without services for greywater management, greywater disposal may have considerable public and environmental health implications, necessitating careful attention and oversight from service-providers and stakeholders beyond the household-level.© the authors

The dataset contains concentrations of toxicants in breath and urine collected from study participants.

NHANES data from the 2003-2014 survey years. Specific to adolescents. Ancillary data related to metabolic syndrome and other covariates.