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Mortality Associated with Priority Diseases in Flood-Affected Areas Using District Health Information System (DHIS2) During September–December 2022: Pakistan Experience

Published online by Cambridge University Press:  09 May 2024

Nadia Nisar
Affiliation:
UK Health Security Agency, Pakistan
Zeeshan Iqbal
Affiliation:
UK Health Security Agency, Pakistan
Muhammad Sartaaj
Affiliation:
UK Health Security Agency, Pakistan
Aamer Ikram
Affiliation:
Public Health Laboratories Division, National Institute of Health, Chak Shahzad, Park Road, Islamabad, Pakistan
Najma Javad
Affiliation:
UK Health Security Agency, Pakistan
Kashif Ali
Affiliation:
UK Health Security Agency, Pakistan
Jahanzeb Anjum
Affiliation:
UK Health Security Agency, Pakistan
Muazam Abbas Ranjha
Affiliation:
Public Health Laboratories Division, National Institute of Health, Chak Shahzad, Park Road, Islamabad, Pakistan
Mumtaz Ali Khan
Affiliation:
Public Health Laboratories Division, National Institute of Health, Chak Shahzad, Park Road, Islamabad, Pakistan
Muhammad Asif Khan Bettani
Affiliation:
UK Health Security Agency, Pakistan
Wasif Shah
Affiliation:
UK Health Security Agency, Pakistan
Nida Tanveer
Affiliation:
Public Health Laboratories Division, National Institute of Health, Chak Shahzad, Park Road, Islamabad, Pakistan
Paul Cleary
Affiliation:
UK Health Security Agency, Pakistan
Chloe Byers
Affiliation:
UK Health Security Agency, Pakistan
Anne Wilson
Affiliation:
UK Health Security Agency, Pakistan
Muhammad Salman
Affiliation:
Public Health Laboratories Division, National Institute of Health, Chak Shahzad, Park Road, Islamabad, Pakistan
Mamoon A. Aldeyab*
Affiliation:
Department of Pharmacy, School of Applied Sciences, University of Huddersfield, Huddersfield, UK
*
Corresponding author: Mamoon Aldeyab; m.aldeyab@hud.ac.uk.
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Abstract

Objectives:

To quantify the burden of communicable diseases and characterize the most reported infections during public health emergency of floods in Pakistan.

Methods:

The study’s design is a descriptive trend analysis. The study utilized the disease data reported to District Health Information System (DHIS2) for the 12 most frequently reported priority diseases under the Integrated Disease Surveillance and Response (IDSR) system in Pakistan.

Results:

In total, there were 1,532,963 suspected cases during August to December 2022 in flood-affected districts (n = 75) across Pakistan; Sindh Province reported the highest number of cases (n = 692,673) from 23 districts, followed by Khyber Pakhtunkhwa (KP) (n = 568,682) from 17 districts, Balochistan (n = 167,215) from 32 districts, and Punjab (n = 104,393) from 3 districts. High positivity was reported for malaria (79,622/201,901; 39.4%), followed by acute diarrhea (non-cholera) (23/62; 37.1%), hepatitis A and E (47/252; 18.7%), and dengue (603/3245; 18.6%). The crude mortality rate was 11.9 per 10 000 population (1824/1,532,963 [deaths/cases]).

Conclusion:

The study identified acute respiratory infection, acute diarrhea, malaria, and skin diseases as the most prevalent diseases. This suggests that preparedness efforts and interventions targeting these diseases should be prioritized in future flood response plans. The study highlights the importance of strengthening the IDSR as a Disease Early Warning System through the implementation of the DHIS2.

Information

Type
Original Research
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc
Figure 0

Table 1. Distribution of disease notifications from September to December 2022, provinces of Pakistan

Figure 1

Figure 1. Daily reported numbers of disease notifications from flood-affected areas from September–December 2022.

Figure 2

Figure 2. Weekly number of suspected cases of the 5 most highly reported conditions from flood-affected areas from September–December 2022, by province.

Figure 3

Figure 3. Weekly number of reported deaths from all causes and from the 5 most highly reported suspected causes of death in flood-affected areas by province, October–December 2022.