During the COVID-19 pandemic, public health agencies implemented an array of technologies and digital tools to support case investigation and contact tracing. Beginning in May 2020, the Association of State and Territorial Health Officials compiled information on digital tools used by its membership, which comprises 59 chief health officials from each of the 50 states, 5 US territories, 3 freely associated states, and the District of Columbia. This information was presented online through a publicly available technology and digital tools inventory. We describe the national landscape of digital tools implemented by public health agencies to support functions of the COVID-19 response from May 2020 through May 2021. We also discuss how public health officials and their informatics leadership referenced the information about the digital tools implemented by their peers to guide and refine their own implementation plans. We used a consensus-based approach through monthly discussions with partners to group digital tools into 5 categories: surveillance systems, case investigation, proximity technology/exposure notification, contact tracing, and symptom tracking/monitoring. The most commonly used tools included the National Electronic Disease Surveillance System Base System (NBS), Sara Alert, REDCap, and Maven. Some tools such as NBS, Sara Alert, REDCap, Salesforce, and Microsoft Dynamics were repurposed or adapted for >1 category. Having access to the publicly available technology and digital tools inventory provided public health officials and their informatics leadership with information on what tools other public health agencies were using and aided in decision making as they considered repurposing existing tools or adopting new ones.

Between September 2020 and March 2021, Mercy Corps piloted hybrid digital (CAPI) and paper-based (PAPI) data collection as part of its tuberculosis (TB) active case finding strategy. Data were collected using CAPI and PAPI at 140 TB chest camps in low Internet access areas of Punjab and Khyber Pakhtunkhwa provinces in Pakistan. PAPI data collection was performed primarily during the camp and entered using a tailor-performed CAPI tool after camps. To assess the feasibility of this hybrid approach, quality of digital records were measured against the paper \"gold standard\", and user acceptance was evaluated through focus group discussions. Completeness of digital data varied by indicator, van screening team, and month of implementation: chest camp attendees and pulmonary TB cases showed the highest CAPI/PAPI completeness ratios (1.01 and 0.96 respectively), and among them, all forms of TB diagnosis and treatment initiation were lowest (0.63 and 0.64 respectively). Vans entering CAPI data with high levels of completeness generally did so for all indicators, and significant differences in mean indicator completeness rates between PAPI and CAPI were observed between vans. User feedback suggested that although the CAPI tool required practice to gain proficiency, the technology was appreciated and will be better perceived once double entry in CAPI and PAPI can transition to CAPI only. CAPI data collection enables data to be entered in a more timely fashion in low-Internet-access settings, which will enable more rapid, evidence-based program steering. The current system in which double data entry is conducted to ensure data quality is an added burden for staff with many activities. Transitioning to a fully digital data collection system for TB case finding in low-Internet-access settings requires substantial investments in M&E support, shifts in data reporting accountability, and technology to link records of patients who pass through separate data collection stages during chest camp events.