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Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Oct 9, 2020
Date Accepted: Jun 3, 2021
Date Submitted to PubMed: Jun 3, 2021

The final, peer-reviewed published version of this preprint can be found here:

The Interplay Between Policy and COVID-19 Outbreaks in South Asia: Longitudinal Trend Analysis of Surveillance Data

Welch SB, Kulasekere DA, Prasad V, Moss CB, Murphy RL, Achenbach CJ, Ison MG, Resnick D, Singh L, White J, Issa TZ, Culler K, Faber JMM, Boctor MJ, Mason M, Oehmke JF, Post LA

The Interplay Between Policy and COVID-19 Outbreaks in South Asia: Longitudinal Trend Analysis of Surveillance Data

JMIR Public Health Surveill 2021;7(6):e24251

DOI: 10.2196/24251

PMID: 34081593

PMCID: 8213065

The Interplay between Policy and COVID-19 Outbreaks in South Asia: Longitudinal Trend Analysis of Surveillance Data

  • Sarah B Welch; 
  • Dinushi Amanda Kulasekere; 
  • Vara Prasad; 
  • Charles B Moss; 
  • Robert Leo Murphy; 
  • Chad J Achenbach; 
  • Michael G Ison; 
  • Danielle Resnick; 
  • Lauren Singh; 
  • Janine White; 
  • Tariq Z Issa; 
  • Kasen Culler; 
  • Joshua Marco Mitchell Faber; 
  • Michael J Boctor; 
  • Maryann Mason; 
  • James Francis Oehmke; 
  • Lori Ann Post

ABSTRACT

Background:

COVID-19 transmission rates in South Asia initially were under control when governments implemented health policies aimed at controlling the pandemic such as quarantines, travel bans, and border-, business-, and school-closures. Governments have since relaxed public health guidelines which resulted in significant outbreaks moving the global epicenter of the COVID-19 pandemic to India. Systematic ongoing public health surveillance of the COVID-19 is needed to inform disease prevention policy to re-establish control of the pandemic within the region.

Objective:

To inform public health leaders about the state of the COVID-19 pandemic, how South Asia differs within and between countries and from other global regions and where immediate action is needed to control the outbreaks.

Methods:

We extracted 62 days of COVID-19 data from public health registries and calculated traditional and enhanced surveillance metrics. We use an empirical difference equation to measure the daily number of cases in South Asia as a function of the prior number of cases, the level of testing, and weekly shift variables based on a dynamic panel model that was estimated using the generalized method of moments approach by implementing the Arellano-Bond estimator in R.

Results:

Traditional surveillance metrics signal that South Asian countries have an alarming outbreak with India leading the region with 310,310 new daily cases using the 7-day moving average. Enhanced surveillance indicates that while Pakistan and Bangladesh still have a high daily number of new COVID-19 transmissions, 4,819 and 3,878, respectively, their speed of new infections declined from April 12-25, 2021 from 2.28 to 2.18 and 3.15 to 2.35 daily new infections per 100,000 population, respectively, signaling their outbreaks are contracting and heading in the right direction. In contrast, India’s speed of new infections per 100,000 population increased by 52% during the same time period from 14.79 to 22.49 new cases per day per 100,000 which constitutes an outbreak.

Conclusions:

Relaxed public health restrictions plus novel variants fueled the second wave of the COVID-19 pandemic in South Asia. Public health surveillance signals that shifts made to policy plus new variants correlate with a dramatic expansion in the pandemic requiring immediate action to mitigate the spread of COVID-19. Surveillance is needed to inform leaders if policies result in pandemic control. Clinical Trial: Not applicable


 Citation

Please cite as:

Welch SB, Kulasekere DA, Prasad V, Moss CB, Murphy RL, Achenbach CJ, Ison MG, Resnick D, Singh L, White J, Issa TZ, Culler K, Faber JMM, Boctor MJ, Mason M, Oehmke JF, Post LA

The Interplay Between Policy and COVID-19 Outbreaks in South Asia: Longitudinal Trend Analysis of Surveillance Data

JMIR Public Health Surveill 2021;7(6):e24251

DOI: 10.2196/24251

PMID: 34081593

PMCID: 8213065

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