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Protective Behaviors and Secondary Harms Resulting From Nonpharmaceutical Interventions During the COVID-19 Epidemic in South Africa: Multisite, Prospective Longitudinal Study.
Harling, Guy; Gómez-Olivé, Francesc Xavier; Tlouyamma, Joseph; Mutevedzi, Tinofa; Kabudula, Chodziwadziwa Whiteson; Mahlako, Ruth; Singh, Urisha; Ohene-Kwofie, Daniel; Buckland, Rose; Ndagurwa, Pedzisai; Gareta, Dickman; Gunda, Resign; Mngomezulu, Thobeka; Nxumalo, Siyabonga; Wong, Emily B; Kahn, Kathleen; Siedner, Mark J; Maimela, Eric; Tollman, Stephen; Collinson, Mark; Herbst, Kobus.
  • Harling G; Africa Health Research Institute, KwaZulu-Natal, South Africa.
  • Gómez-Olivé FX; Institute for Global Health, University College London, London, United Kingdom.
  • Tlouyamma J; Medical Research Council/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
  • Mutevedzi T; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, United States.
  • Kabudula CW; Center for Population and Development Studies, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, United States.
  • Mahlako R; School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.
  • Singh U; Medical Research Council/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
  • Ohene-Kwofie D; International Network for the Demographic Evaluation of Populations and Their Health Network, Accra, Ghana.
  • Buckland R; Dikgale-Mamabolo-Mothiba Population Health Research Centre, School of Health Care Sciences, Faculty of Health Sciences, University of Limpopo, Mankweng, South Africa.
  • Ndagurwa P; Department of Computer Science, School of Mathematical and Computer Sciences, Faculty of Science and Agriculture, University of Limpopo, Mankweng, South Africa.
  • Gareta D; Department of Science and Innovation-Medical Research Council South African Population Research Infrastructure Network, Johannesburg, South Africa.
  • Gunda R; Medical Research Council/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
  • Mngomezulu T; Dikgale-Mamabolo-Mothiba Population Health Research Centre, School of Health Care Sciences, Faculty of Health Sciences, University of Limpopo, Mankweng, South Africa.
  • Nxumalo S; Africa Health Research Institute, KwaZulu-Natal, South Africa.
  • Wong EB; Medical Research Council/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
  • Kahn K; Institute for Global Health, University College London, London, United Kingdom.
  • Siedner MJ; Medical Research Council/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
  • Maimela E; Africa Health Research Institute, KwaZulu-Natal, South Africa.
  • Tollman S; Africa Health Research Institute, KwaZulu-Natal, South Africa.
  • Collinson M; School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.
  • Herbst K; Africa Health Research Institute, KwaZulu-Natal, South Africa.
JMIR Public Health Surveill ; 7(5): e26073, 2021 05 13.
Article in English | MEDLINE | ID: covidwho-1249617
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ABSTRACT

BACKGROUND:

In March 2020, South Africa implemented strict nonpharmaceutical interventions (NPIs) to contain the spread of COVID-19. Over the subsequent 5 months, NPI policies were eased in stages according to a national strategy. COVID-19 spread throughout the country heterogeneously; the disease reached rural areas by July and case numbers peaked from July to August. A second COVID-19 wave began in late 2020. Data on the impact of NPI policies on social and economic well-being and access to health care are limited.

OBJECTIVE:

We aimed to determine how rural residents in three South African provinces changed their behaviors during the first COVID-19 epidemic wave.

METHODS:

The South African Population Research Infrastructure Network nodes in the Mpumalanga (Agincourt), KwaZulu-Natal, (Africa Health Research Institute) and Limpopo (Dikgale-Mamabolo-Mothiba) provinces conducted up to 14 rounds of longitudinal telephone surveys among randomly sampled households from rural and periurban surveillance populations every 2-3 weeks. Interviews included questions on the following topics COVID-19-related knowledge and behaviors, the health and economic impacts of NPIs, and mental health. We analyzed how responses varied based on NPI stringency and household sociodemographics.

RESULTS:

In total, 5120 households completed 23,095 interviews between April and December 2020. Respondents' self-reported satisfaction with their COVID-19-related knowledge and face mask use rapidly rose to 85% and 95%, respectively, by August. As selected NPIs were eased, the amount of travel increased, economic losses were reduced, and the prevalence of anxiety and depression symptoms fell. When the number of COVID-19 cases spiked at one node in July, the amount of travel dropped rapidly and the rate of missed daily medications doubled. Households where more adults received government-funded old-age pensions reported concerns about economic matters and medication access less often.

CONCLUSIONS:

South Africans complied with stringent, COVID-19-related NPIs despite the threat of substantial social, economic, and health repercussions. Government-supported social welfare programs appeared to buffer interruptions in income and health care access during local outbreaks. Epidemic control policies must be balanced against the broader well-being of people in resource-limited settings and designed with parallel support systems when such policies threaten peoples' income and access to basic services.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Public Policy / Health Behavior / Epidemics / COVID-19 / Health Services Accessibility / Income Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Adult / Female / Humans / Male Country/Region as subject: Africa Language: English Journal: JMIR Public Health Surveill Year: 2021 Document Type: Article Affiliation country: 26073

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Public Policy / Health Behavior / Epidemics / COVID-19 / Health Services Accessibility / Income Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Adult / Female / Humans / Male Country/Region as subject: Africa Language: English Journal: JMIR Public Health Surveill Year: 2021 Document Type: Article Affiliation country: 26073