TY - JOUR
T1 - Mortality Associated with Priority Diseases in Flood-Affected Areas Using District Health Information System (DHIS2) during September-December 2022
T2 - Pakistan Experience
AU - Nisar, Nadia
AU - Iqbal, Zeeshan
AU - Sartaaj, Muhammad
AU - Ikram, Aamer
AU - Javad, Najma
AU - Ali, Kashif
AU - Anjum, Jahanzeb
AU - Abbas Ranjha, Muazam
AU - Khan, Mumtaz Ali
AU - Bettani, Muhammad Asif Khan
AU - Shah, Wasif
AU - Tanveer, Nida
AU - Cleary, Paul
AU - Byers, Chloe
AU - Wilson, Anne
AU - Salman, Muhammad
AU - Aldeyab, Mamoon A.
N1 - Publisher Copyright:
© The Author(s), 2024. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc.
PY - 2024/5/9
Y1 - 2024/5/9
N2 - 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.
AB - 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.
KW - COVID-19
KW - Integrated Disease Surveillance system
KW - Pakistan
KW - communicable diseases
KW - epidemiological analysis
UR - http://www.scopus.com/inward/record.url?scp=85192594416&partnerID=8YFLogxK
U2 - 10.1017/dmp.2024.77
DO - 10.1017/dmp.2024.77
M3 - Article
C2 - 38721660
AN - SCOPUS:85192594416
SN - 1935-7893
VL - 18
JO - Disaster medicine and public health preparedness
JF - Disaster medicine and public health preparedness
M1 - 2400077
ER -