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Impact of the 1918 Influenza Pandemic in Coastal Kenya

Identifieur interne : 000E26 ( Pmc/Curation ); précédent : 000E25; suivant : 000E27

Impact of the 1918 Influenza Pandemic in Coastal Kenya

Auteurs : Fred Andayi ; Sandra S. Chaves [États-Unis] ; Marc-Alain Widdowson [Kenya, États-Unis]

Source :

RBID : PMC:6631354

Abstract

The 1918 influenza pandemic was the most significant pandemic recorded in human history. Worldwide, an estimated half billion persons were infected and 20 to 100 million people died in three waves during 1918 to 1919. Yet the impact of this pandemic has been poorly documented in many countries especially those in Africa. We used colonial-era records to describe the impact of 1918 influenza pandemic in the Coast Province of Kenya. We gathered quantitative data on facility use and all-cause mortality from 1912 to 1925, and pandemic-specific data from active reporting from September 1918 to March 1919. We also extracted quotes from correspondence to complement the quantitative data and describe the societal impact of the pandemic. We found that crude mortality rates and healthcare utilization increased six- and three-fold, respectively, in 1918, and estimated a pandemic mortality rate of 25.3 deaths/1000 people/year. Impact to society and the health care system was dramatic as evidenced by correspondence. In conclusion, the 1918 pandemic profoundly affected Coastal Kenya. Preparation for the next pandemic requires continued improvement in surveillance, education about influenza vaccines, and efforts to prevent, detect and respond to novel influenza outbreaks.


Url:
DOI: 10.3390/tropicalmed4020091
PubMed: 31181715
PubMed Central: 6631354

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PMC:6631354

Le document en format XML

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<email>bev8@cdc.gov</email>
(S.S.C.)</nlm:aff>
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<p>The 1918 influenza pandemic was the most significant pandemic recorded in human history. Worldwide, an estimated half billion persons were infected and 20 to 100 million people died in three waves during 1918 to 1919. Yet the impact of this pandemic has been poorly documented in many countries especially those in Africa. We used colonial-era records to describe the impact of 1918 influenza pandemic in the Coast Province of Kenya. We gathered quantitative data on facility use and all-cause mortality from 1912 to 1925, and pandemic-specific data from active reporting from September 1918 to March 1919. We also extracted quotes from correspondence to complement the quantitative data and describe the societal impact of the pandemic. We found that crude mortality rates and healthcare utilization increased six- and three-fold, respectively, in 1918, and estimated a pandemic mortality rate of 25.3 deaths/1000 people/year. Impact to society and the health care system was dramatic as evidenced by correspondence. In conclusion, the 1918 pandemic profoundly affected Coastal Kenya. Preparation for the next pandemic requires continued improvement in surveillance, education about influenza vaccines, and efforts to prevent, detect and respond to novel influenza outbreaks.</p>
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<name>
<surname>Andayi</surname>
<given-names>Fred</given-names>
</name>
<xref ref-type="aff" rid="af1-tropicalmed-04-00091">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chaves</surname>
<given-names>Sandra S.</given-names>
</name>
<xref ref-type="aff" rid="af1-tropicalmed-04-00091">1</xref>
<xref ref-type="aff" rid="af2-tropicalmed-04-00091">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Widdowson</surname>
<given-names>Marc-Alain</given-names>
</name>
<xref ref-type="aff" rid="af3-tropicalmed-04-00091">3</xref>
<xref ref-type="aff" rid="af4-tropicalmed-04-00091">4</xref>
<xref rid="c1-tropicalmed-04-00091" ref-type="corresp">*</xref>
</contrib>
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<aff id="af1-tropicalmed-04-00091">
<label>1</label>
Influenza Program, Centers for Disease Control and Prevention-Kenya, Nairobi 00621, Kenya;
<email>Fredandayi@gmail.com</email>
(F.A.);
<email>bev8@cdc.gov</email>
(S.S.C.)</aff>
<aff id="af2-tropicalmed-04-00091">
<label>2</label>
Influenza Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, GA 30333, USA</aff>
<aff id="af3-tropicalmed-04-00091">
<label>3</label>
Division of Global Health Protection, Centers for Disease Control and Prevention-Kenya, Nairobi 00621, Kenya</aff>
<aff id="af4-tropicalmed-04-00091">
<label>4</label>
Division of Global Health Protection, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA</aff>
<author-notes>
<corresp id="c1-tropicalmed-04-00091">
<label>*</label>
Correspondence:
<email>zux5@cdc.gov</email>
; Tel.: +254-702-121-124</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>08</day>
<month>6</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="collection">
<month>6</month>
<year>2019</year>
</pub-date>
<volume>4</volume>
<issue>2</issue>
<elocation-id>91</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>3</month>
<year>2019</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>5</month>
<year>2019</year>
</date>
</history>
<permissions>
<copyright-statement>© 2019 by the authors.</copyright-statement>
<copyright-year>2019</copyright-year>
<license license-type="open-access">
<license-p>Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</ext-link>
).</license-p>
</license>
</permissions>
<abstract>
<p>The 1918 influenza pandemic was the most significant pandemic recorded in human history. Worldwide, an estimated half billion persons were infected and 20 to 100 million people died in three waves during 1918 to 1919. Yet the impact of this pandemic has been poorly documented in many countries especially those in Africa. We used colonial-era records to describe the impact of 1918 influenza pandemic in the Coast Province of Kenya. We gathered quantitative data on facility use and all-cause mortality from 1912 to 1925, and pandemic-specific data from active reporting from September 1918 to March 1919. We also extracted quotes from correspondence to complement the quantitative data and describe the societal impact of the pandemic. We found that crude mortality rates and healthcare utilization increased six- and three-fold, respectively, in 1918, and estimated a pandemic mortality rate of 25.3 deaths/1000 people/year. Impact to society and the health care system was dramatic as evidenced by correspondence. In conclusion, the 1918 pandemic profoundly affected Coastal Kenya. Preparation for the next pandemic requires continued improvement in surveillance, education about influenza vaccines, and efforts to prevent, detect and respond to novel influenza outbreaks.</p>
</abstract>
<kwd-group>
<kwd>influenza pandemic</kwd>
<kwd>Spanish flu</kwd>
<kwd>1918 pandemic</kwd>
<kwd>Kenya</kwd>
<kwd>Africa</kwd>
</kwd-group>
</article-meta>
</front>
<floats-group>
<fig id="tropicalmed-04-00091-f001" orientation="portrait" position="float">
<label>Figure 1</label>
<caption>
<p>Coast Province administration first letter sent to one of the District Officers requesting the 1918 pandemic influenza deaths. (Source: National Archives Library-KNA, Nairobi Kenya).</p>
</caption>
<graphic xlink:href="tropicalmed-04-00091-g001"></graphic>
</fig>
<fig id="tropicalmed-04-00091-f002" orientation="portrait" position="float">
<label>Figure 2</label>
<caption>
<p>Coast Province administration last letter sent to one of the District Officers requesting the 1918 pandemic influenza cases and deaths. (Source: National Archives Library-KNA, Nairobi Kenya).</p>
</caption>
<graphic xlink:href="tropicalmed-04-00091-g002"></graphic>
</fig>
<fig id="tropicalmed-04-00091-f003" orientation="portrait" position="float">
<label>Figure 3</label>
<caption>
<p>Health facility use rates of Coast Province Kenya, 1912–1925. * Missing data, only Mombasa data reported. Lamu and Tana River districts data missing for years 1917, 1918, 1919 and 1921.</p>
</caption>
<graphic xlink:href="tropicalmed-04-00091-g003"></graphic>
</fig>
<fig id="tropicalmed-04-00091-f004" orientation="portrait" position="float">
<label>Figure 4</label>
<caption>
<p>Crude all-cause mortality rates of Coast Province Kenya, 1912–1925. Years 1917, 1918, 1919 and 1921 data for Lamu and Tana River districts missing.</p>
</caption>
<graphic xlink:href="tropicalmed-04-00091-g004"></graphic>
</fig>
<fig id="tropicalmed-04-00091-f005" orientation="portrait" position="float">
<label>Figure 5</label>
<caption>
<p>Number of reported 1918 influenza pandemic deaths in districts of Coast Province of Kenya, September 1918 to March 1919.</p>
</caption>
<graphic xlink:href="tropicalmed-04-00091-g005"></graphic>
</fig>
<table-wrap id="tropicalmed-04-00091-t001" orientation="portrait" position="float">
<object-id pub-id-type="pii">tropicalmed-04-00091-t001_Table 1</object-id>
<label>Table 1</label>
<caption>
<p>Coast Province Kenya population distribution by district and race, 1918 to 1919.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" colspan="1">Coast Province Kenya
<break></break>
District Name</th>
<th colspan="4" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" rowspan="1">Population Distribution by District and Race</th>
</tr>
<tr>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Total N (% total)</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Europeans N (%)</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Asians/Arabs N (%)</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Natives N (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">1. Mombasa Island</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">36,824 (20.4)</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">371 (1.0)</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">10,774 (29.2)</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">25,679 (69.6)</td>
</tr>
<tr>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">2. Vanga</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">19,761 (10.9)</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">5 (<1)</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">423 (2.1)</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">19,333 (97.0)</td>
</tr>
<tr>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">3. Taita Taveta</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">30,545 (16.9)</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">16 (<1)</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">135 (<1)</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">30,394 (99.5)</td>
</tr>
<tr>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">4. Nyika</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">71,137 (39.3)</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">21 (<1)</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">215 (<1)</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">70,901 (99.7)</td>
</tr>
<tr>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">5. Malindi</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">22,872 (12.6)</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">13 (<1)</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">1529 (6.7)</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">21,330 (93.3)</td>
</tr>
<tr>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Total N (%)</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">181,139 (100.0)</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">426 (0.3)</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">13076 (7.2)</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">167,637 (92.5)</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="tropicalmed-04-00091-t002" orientation="portrait" position="float">
<object-id pub-id-type="pii">tropicalmed-04-00091-t002_Table 2</object-id>
<label>Table 2</label>
<caption>
<p>Morbidity and mortality burden associated with 1918 influenza pandemic in Coastal Kenya Region, September 1918–March 1919.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" colspan="1">District Name</th>
<th rowspan="2" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" colspan="1">Population Estimates</th>
<th colspan="2" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" rowspan="1">Reported Influenza Cases</th>
<th colspan="2" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" rowspan="1">Reported Influenza Mortality</th>
<th rowspan="2" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" colspan="1">Influenza Case Fatality Proportion (%)</th>
</tr>
<tr>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Number</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Rate (per 1000)</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Number</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Rate (per 1000)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">1. Mombasa Island</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">36,884</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">1217</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">33.0</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">628</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">17.0</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">51.6</td>
</tr>
<tr>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">2. Vanga</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">19,761</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">-</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">-</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">400</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">20.2</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">-</td>
</tr>
<tr>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">3. Taita Taveta</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">30,545</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">10,691</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">350.0</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">1065</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">34.9</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">9.9</td>
</tr>
<tr>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">4. Nyika</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">71,137</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">20,000</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">281.1</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">1700</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">23.9</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">8.5</td>
</tr>
<tr>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">5. Malindi</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">22,872</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">-</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">-</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">800</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">35.0</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">-</td>
</tr>
<tr>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Total</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">181,199</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">31,908</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">176.1 *</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">4593</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">25.3</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">10.6 *</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>* based on data from Nyika, Taita Taveta and Mombasa districts.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</pmc>
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