Sociodemographic and Professional Experience. From August 23 through October 5, 2020, 298 individuals responded to our survey. Respondents were mostly female (82%), white, non-Hispanic (74%), between the ages of 18 and 39 years (60%), and identified as public health practitioners (84%). Academics (10%) and epidemiologists in other fields (e.g., non-profit, private industry, clinical; 4%) rounded out the sample (2% were missing). Of these, 16 (5%) were new public health hires since January 2020. Over half of the sample had between 1 and 9 years of experience in public health (51%), and over one-third had 10 or more years of experience (38%).
Public Health Content Expertise and Programmatic Functions. Among the 282 (95%) respondents who worked in public health in January 2020 (i.e., not new hires), 60% reported having no changes in the number of content expertise areas or programmatic functions that they were responsible for pre-pandemic vs. mid-pandemic; however, 26% reported an increase in both during this period. For the 60% who did not have a change in the number of responsibilities, the specifics of their work may have changed significantly (e.g., pre-pandemic single content expertise of environmental health redirected to mid-pandemic single content expertise of COVID-19).
As previously shown, among all 298 respondents, several content expertise areas showed a decrease in staffing since the start of the pandemic. Notably, the total number of respondents working in infectious disease and preparedness remained constant. No content areas except COVID-19 showed increases in staffing (Fig. 1). The total number of program areas covered increased from 509 pre-pandemic to 607 mid-pandemic or 1.7 to 2.0 program areas per person.
The total number of respondents filling surveillance, program manager, planning/preparedness, administration, and policy roles did not change pre-pandemic to mid-pandemic. The programmatic functions that saw a significant decline were program evaluation (percent decrease: 36%) and health education (27%). Disease investigation significantly increased (percent increase: 35%; Fig. 2). The total number of programmatic functions/roles increased from 536 pre-pandemic to 697 mid-pandemic or 1.8 to 2.3 per person.
According to open-ended responses, many routine duties and services were no longer able to be done due to the burden of COVID-19 response, including investigations related to other communicable diseases, foodborne outbreaks, public health surveillance and evaluation, and non-communicable disease response. The most frequently mentioned routine duties that were interrupted included work on other communicable diseases besides COVID-19, including sexually transmitted infections, enteric diseases, and Hepatitis B and C. Foodborne outbreaks were specifically mentioned by respondents, who pointed out that there was little capacity to conduct surveillance, outbreak investigations, or inspections. Routine disease surveillance and evaluations of surveillance programs were also reported to have been interrupted due to COVID-19 response, even for critical functions such as perinatal diseases and maternal-child health outcomes. Work related to blood lead investigations, vector-borne diseases, and immunizations were also interrupted. Little time was available for chronic diseases, which may also be due in part to closures or limitations in the use of public health facilities, which means that walk-in programs for addiction, in-person meetings with stakeholder coalitions, and regular maternal-child health programs could no longer be provided. Grant-funded work related to disease prevention, including opioid abuse prevention, as well as the investigation of non-fatal overdoses, stopped in some jurisdictions due to the COVID-19 response.
Table 1 shows which pre-pandemic content expertise areas and programmatic functions contributed to the COVID-19 response staff. For content expertise, the majority of the mid-pandemic COVID-19 workers (47%) were infectious disease practitioners in January 2020. Other areas contributing to the COVID-19 workforce included chronic disease (23%), substance abuse (16%), and maternal-child health (15%). For programmatic functions, over half of the mid-pandemic COVID-19 workers (55%) came from surveillance. Other programmatic functions contributing to the COVID-19 response included evaluation (29%), disease investigation (27%), and planning/preparedness (21%).
Table 1
Pre-pandemic expertise of individuals working on COVID-19 mid-pandemic – U.S., August 23 - October 5, 2020
Content Expertise | N | % of 195 |
Infectious Disease | 92 | 47.18% |
Chronic Disease | 44 | 22.56% |
Substance Abuse | 31 | 15.90% |
Maternal-Child Health | 29 | 14.87% |
Environmental Health | 28 | 14.36% |
Informatics | 26 | 13.33% |
Preparedness | 25 | 12.82% |
Injury | 21 | 10.77% |
Vital Statistics | 21 | 10.77% |
Mental Health | 17 | 8.72% |
Occupational | 10 | 5.13% |
Other | 17 | 8.72% |
None | 22 | 11.28% |
Programmatic Functions | N | % of 189 |
Surveillance | 103 | 54.50% |
Evaluation | 55 | 29.10% |
Disease Investigation | 51 | 26.98% |
Planning/Preparedness | 39 | 20.63% |
Program Manager | 35 | 18.52% |
Health Educator | 31 | 16.40% |
Administration | 20 | 10.58% |
Policy | 19 | 10.05% |
Other | 20 | 10.58% |
None | 15 | 7.94% |
Table 2 shows content areas and programmatic functions unchanged from pre- to mid-pandemic, that is, individuals working in the same content expertise areas and programmatic functions at both time points. Over half of individuals working in infectious disease, substance abuse, and preparedness, and almost two-thirds of informatics and vital statistics were reassigned to other content areas during the pandemic. Areas with the greatest proportion of reassignments included occupational health, chronic disease, and injury. Individuals working in administration, evaluation, disease investigation, and planning/preparedness programmatic roles were also likely to be reassigned, demonstrating how key public health areas are losing their content experts to the COVID-19 response.
Table 2
Number maintaining content and programmatic expertise during pandemic – U.S., August 23 - October 5, 2020
Content Expertise | N* | Pre-COVID N | % Pre-Pandemic Workers |
Infectious Disease | 67 | 136 | 49.26% |
Substance Abuse | 19 | 39 | 48.72% |
Preparedness | 18 | 38 | 47.37% |
Informatics | 15 | 38 | 39.47% |
Vital Statistics | 10 | 27 | 37.04% |
Other | 11 | 30 | 36.67% |
MCH | 13 | 40 | 32.50% |
Environmental Health | 11 | 34 | 32.35% |
Injury | 8 | 27 | 29.63% |
Chronic | 13 | 64 | 20.31% |
Occupational Health | 2 | 13 | 15.38% |
Programmatic Function | N* | Pre-COVID N | % Pre-Pandemic Workers |
Surveillance | 105 | 148 | 70.95% |
Other | 18 | 35 | 51.43% |
Program Manager | 24 | 57 | 42.11% |
Policy | 6 | 24 | 25.00% |
Health Educator | 11 | 45 | 24.44% |
Planning/Preparedness | 11 | 49 | 22.45% |
DIS | 12 | 66 | 18.18% |
Evaluation | 14 | 80 | 17.50% |
Administration | 4 | 31 | 12.90% |
*pre-COVID area/role = post-COVID area/role | |
Work Hours. Figure 3 shows the average number of working hours and days per week reported by survey respondents pre-pandemic vs. mid-pandemic. Among the 282 individuals working in public health in January 2020, there was a significant increase in those reporting working overtime since the start of the pandemic. Mid-pandemic, about two-thirds said they were working more than 40 hours and more than five days per week, compared to 21% and 7%, respectively, pre-pandemic. Average days worked per week increased by 0.8 days and average hours worked per week increased by 11.2, compared to pre-pandemic.